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Tianrui Li 0001

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affiliation: Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China

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2020 – today

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2025
[j434]
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Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. Inf. Fusion 113: 102606 (2025)
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Qinli Zhang, Pengfei Zhang, Tianrui Li:
Information fusion for large-scale multi-source data based on the Dempster-Shafer evidence theory. Inf. Fusion 115: 102754 (2025)
[j432]
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Ronggang Cai, Hongmei Chen, Yong Mi, Tianrui Li, Chuan Luo, Shi-Jinn Horng:
Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning. Inf. Sci. 688: 121396 (2025)
[j431]
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Huming Liao, Hongmei Chen, Tengyu Yin, Zhong Yuan, Shi-Jinn Horng, Tianrui Li:
A general adaptive unsupervised feature selection with auto-weighting. Neural Networks 181: 106840 (2025)
2024
[j430]
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Xunjin Wu, Jianming Zhan, Tianrui Li, Weiping Ding, Witold Pedrycz:
MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection. Appl. Intell. 54(2): 1706-1733 (2024)
[j429]
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Muhammad Hafeez Javed, Zeng Yu, Taha M. Rajeh, Fahad Rafique, Tianrui Li:
Clustering-based multi-featured self-supervised learning for human activities and video retrieval. Appl. Intell. 54(8): 6198-6212 (2024)
[j428]
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Zelong Wang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Joint subspace reconstruction and label correlation for multi-label feature selection. Appl. Intell. 54(11-12): 1117-1143 (2024)
[j427]
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Lilan Peng, Xuehua Liao, Tianrui Li, Xiangyu Guo, Xiu Wang:
An Overview Based on the Overall Architecture of Traffic Forecasting. Data Sci. Eng. 9(3): 341-359 (2024)
[j426]
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Tengyu Yin, Hongmei Chen, Zhong Yuan, Binbin Sang, Shi-Jinn Horng, Tianrui Li, Chuan Luo:
LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection. Eng. Appl. Artif. Intell. 133: 108108 (2024)
[j425]
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Juan Chen, Jie Hu, Tianrui Li, Fei Teng, Shengdong Du:
An effective relation-first detection model for relational triple extraction. Expert Syst. Appl. 238(Part B): 122007 (2024)
[j424]
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Fei Teng, Quanmei Zhang, Xiaomin Zhou, Jie Hu, Tianrui Li:
Few-shot ICD coding with knowledge transfer and evidence representation. Expert Syst. Appl. 238(Part D): 121861 (2024)
[j423]
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Yong Yang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration. Expert Syst. Appl. 242: 122730 (2024)
[j422]
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Ronggang Cai, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Feature-guided multi-view clustering by jointing local subspace label learning and global label learning. Expert Syst. Appl. 252: 124191 (2024)
[j421]
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Jie Wang, Yan Yang, Yongquan Jiang, Minbo Ma, Zhuyang Xie, Tianrui Li:
Cross-modal incongruity aligning and collaborating for multi-modal sarcasm detection. Inf. Fusion 103: 102132 (2024)
[j420]
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Tengyu Yin, Hongmei Chen, Jihong Wan, Pengfei Zhang, Shi-Jinn Horng, Tianrui Li:
Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space. Inf. Fusion 104: 102150 (2024)
[j419]
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Pengfei Zhang, Dexian Wang, Zheng Yu, Yujie Zhang, Tao Jiang, Tianrui Li:
A multi-scale information fusion-based multiple correlations for unsupervised attribute selection. Inf. Fusion 106: 102276 (2024)
[j418]
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Haonan Luo, Ziyu Guo, Zhenyu Wu, Fei Teng, Tianrui Li:
Transformer-based vision-language alignment for robot navigation and question answering. Inf. Fusion 108: 102351 (2024)
[j417]
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Shiming Zhang, Zhipeng Luo, Li Yang, Fei Teng, Tianrui Li:
A survey of route recommendations: Methods, applications, and opportunities. Inf. Fusion 108: 102413 (2024)
[j416]
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Yuyan Wang, Jie Hu, Fei Teng, Lilan Peng, Shengdong Du, Tianrui Li:
KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting. Inf. Fusion 111: 102542 (2024)
[j415]
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Yu Luo, Hongmei Chen, Tengyu Yin, Shi-Jinn Horng, Tianrui Li:
Dual hypergraphs with feature weighted and latent space learning for the diagnosis of Alzheimer's disease. Inf. Fusion 112: 102546 (2024)
[j414]
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Wei Huang, Dexian Wang, Xiaocao Ouyang, Jihong Wan, Jia Liu, Tianrui Li:
Multimodal federated learning: Concept, methods, applications and future directions. Inf. Fusion 112: 102576 (2024)
[j413]
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Jia Liu, Nijing Yang, Yan-Li Lee, Wei Huang, Yajun Du, Tianrui Li, Pengfei Zhang:
FedDAF: Federated deep attention fusion for dangerous driving behavior detection. Inf. Fusion 112: 102584 (2024)
[j412]
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Huming Liao, Hongmei Chen, Tengyu Yin, Shi-Jinn Horng, Tianrui Li:
Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning. Inf. Process. Manag. 61(4): 103727 (2024)
[j411]
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Haiqing Zhang, Xi Yu, Tianrui Li, Daiwei Li, Dan Tang, Lei He:
Noise-aware and correlation analysis-based for fuzzy-rough feature selection. Inf. Sci. 659: 120047 (2024)
[j410]
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Duanzhang Li, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA. Inf. Sci. 662: 120227 (2024)
[j409]
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Huming Liao, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness. Inf. Sci. 666: 120454 (2024)
[j408]
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Wuchun Yang, Hongjun Wang, Yinghui Zhang, Zhipeng Luo, Tianrui Li:
A nondominated sorting genetic model for co-clustering. Inf. Sci. 667: 120459 (2024)
[j407]
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Rasha Al-Huthaifi, Tianrui Li, Zaid Al-Huda, Chongshou Li:
FedAGAT: Real-time traffic flow prediction based on federated community and adaptive graph attention network. Inf. Sci. 667: 120482 (2024)
[j406]
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Yuqian Gui, Dawei Zhan, Tianrui Li:
Taking another step: A simple approach to high-dimensional Bayesian optimization. Inf. Sci. 679: 121056 (2024)
[j405]
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Dawei Zhan, Jintao Wu, Huanlai Xing, Tianrui Li:
A cooperative approach to efficient global optimization. J. Glob. Optim. 88(2): 327-357 (2024)
[j404]
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  - journals/kbs/MiCLHL24
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Yong Mi, Hongmei Chen, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Unsupervised feature selection with high-order similarity learning. Knowl. Based Syst. 285: 111317 (2024)
[j403]
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Zhi Qin, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Multi-label Feature selection with adaptive graph learning and label information enhancement. Knowl. Based Syst. 285: 111363 (2024)
[j402]
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  - journals/kbs/WangSTMHYL24
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Bin Wang, Junrui Shi, Binyu Tan, Minbo Ma, Feng Hong, Yanwei Yu, Tianrui Li:
DeepWind: a heterogeneous spatio-temporal model for wind forecasting. Knowl. Based Syst. 286: 111385 (2024)
[j401]
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Fares Alhaek, Weichao Liang, Taha M. Rajeh, Muhammad Hafeez Javed, Tianrui Li:
Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach. Knowl. Based Syst. 286: 111406 (2024)
[j400]
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Jie Hu, Chenghao Yang, Kai Huang, Hongjun Wang, Bo Peng, Tianrui Li:
Information bottleneck fusion for deep multi-view clustering. Knowl. Based Syst. 289: 111551 (2024)
[j399]
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Shengdong Du, Tao Yang, Fei Teng, Junbo Zhang, Tianrui Li, Yu Zheng:
Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting. Knowl. Based Syst. 294: 111787 (2024)
[j398]
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Jie Wang, Yan Yang, Keyu Liu, Zhuyang Xie, Fan Zhang, Tianrui Li:
CiteNet: Cross-modal incongruity perception network for multimodal sentiment prediction. Knowl. Based Syst. 295: 111848 (2024)
[j397]
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Anhao Zhao, Tianrui Li, Liangcai Lin:
A Dynamic Multi-modal deep Reinforcement Learning framework for 3D Bin Packing Problem. Knowl. Based Syst. 299: 111990 (2024)
[j396]
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Zhi Qin, Hongmei Chen, Tengyu Yin, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Adaptive label secondary reconstruction for missing multi-label learning. Knowl. Based Syst. 299: 112019 (2024)
[j395]
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Rasha Al-Huthaifi, Tianrui Li, Zaid Al-Huda, Wei Huang, Zhipeng Luo, Peng Xie:
FedGODE: Secure traffic flow prediction based on federated learning and graph ordinary differential equation networks. Knowl. Based Syst. 299: 112029 (2024)
[j394]
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Xinlei Wang, Jielei Chu, Hua Yu, Zhiguo Gong, Tianrui Li:
Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence. Knowl. Based Syst. 299: 112121 (2024)
[j393]
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Yufei Mu, Jin Yang, Tianrui Li, Siyu Li, Weiheng Liang:
HA-GCEN: Hyperedge-abundant graph convolutional enhanced network for hate speech detection. Knowl. Based Syst. 300: 112166 (2024)
[j392]
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Jie Hu, Yinglian Zhu, Fei Teng, Tianrui Li:
Temporal knowledge graph reasoning based on relation graphs and time-guided attention mechanism. Knowl. Based Syst. 301: 112280 (2024)
[j391]
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Longyan Xiang, Hongmei Chen, Tengyu Yin, Shi-Jinn Horng, Tianrui Li:
Unsupervised feature selection based on bipartite graph and low-redundant regularization. Knowl. Based Syst. 302: 112379 (2024)
[j390]
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Dexian Wang, Pengfei Zhang, Ping Deng, Qiao-Feng Wu, Wei Chen, Tao Jiang, Wei Huang, Tianrui Li:
An autoencoder-like deep NMF representation learning algorithm for clustering. Knowl. Based Syst. 305: 112597 (2024)
[j389]
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  - journals/mlc/LiWYWWL24
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Min Li, Guoyin Wang, Zeng Yu, Hongjun Wang, Jihong Wan, Tianrui Li:
Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach. Int. J. Mach. Learn. Cybern. 15(2): 283-302 (2024)
[j388]
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Zhixuan Deng, Tianrui Li, Keyu Liu, Pengfei Zhang, Dayong Deng:
Feature selection based on probability and mathematical expectation. Int. J. Mach. Learn. Cybern. 15(2): 477-491 (2024)
[j387]
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Xuehua Liao, Lilan Peng, Ting Yang, Tianrui Li, Zhousen Zhu:
Redis-based full-text search extensions for relational databases. Int. J. Mach. Learn. Cybern. 15(10): 4475-4491 (2024)
[j386]
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Li Huang, Pei Li, Qiang Gao, Guisong Liu, Zhipeng Luo, Tianrui Li:
Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion. Neural Networks 179: 106538 (2024)
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Yongyi Su, Xun Xu, Tianrui Li, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5524-5540 (2024)
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Yong Mi, Hongmei Chen, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Fast Multi-view Subspace Clustering with Balance Anchors Guidance. Pattern Recognit. 145: 109895 (2024)
[j383]
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Ronggang Cai, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Multi-view clustering via pseudo-label guide learning and latent graph structure recovery. Pattern Recognit. 151: 110420 (2024)
[j382]
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Tengyu Yin, Hongmei Chen, Zhihong Wang, Keyu Liu, Zhong Yuan, Shi-Jinn Horng, Tianrui Li:
Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures. Pattern Recognit. 154: 110580 (2024)
[j381]
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Duanzhang Li, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection. Pattern Recognit. 155: 110683 (2024)
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Jie Hu, Hongqun Yang, Fei Teng, Shengdong Du, Tianrui Li:
A knowledge graph completion model based on triple level interaction and contrastive learning. Pattern Recognit. 156: 110783 (2024)
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Yuxia Chen, Pengcheng Fang, Xiaoling Zhong, Jianhui Yu, Xiaoming Zhang, Tianrui Li:
Hi-ResNet: Edge Detail Enhancement for High-Resolution Remote Sensing Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 15024-15040 (2024)
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Xiaoling Yang, Hongmei Chen, Tianrui Li, Yiyu Yao:
Geodesic Fuzzy Rough Sets for Discriminant Feature Extraction. IEEE Trans. Fuzzy Syst. 32(3): 778-791 (2024)
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Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Zhipeng Luo, Pengfei Zhang:
Feature Selection for Handling Label Ambiguity Using Weighted Label-Fuzzy Relevancy and Redundancy. IEEE Trans. Fuzzy Syst. 32(8): 4436-4447 (2024)
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Jiubing Liu, Shutian Huang, Tianrui Li, Qiang Liang, Huaxiong Li, Zhifeng Hao:
Models and Algorithms for Optimizing Thresholds in Fuzzy Representation-Based Three-Way Decision. IEEE Trans. Fuzzy Syst. 32(9): 4912-4926 (2024)
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Wei Chen, Hongjun Wang, Yinghui Zhang, Ping Deng, Zhipeng Luo, Tianrui Li:
T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning. ACM Trans. Intell. Syst. Technol. 15(2): 23:1-23:18 (2024)
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Taha M. Rajeh, Zhipeng Luo, Muhammad Hafeez Javed, Fares Alhaek, Tianrui Li:
A Clustering-Based Multi-Agent Reinforcement Learning Framework for Finer-Grained Taxi Dispatching. IEEE Trans. Intell. Transp. Syst. 25(9): 11269-11281 (2024)
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Jinpeng Lin, Zhihao Liang, Shengheng Deng, Lile Cai, Tao Jiang, Tianrui Li, Kui Jia, Xun Xu:
Exploring Diversity-Based Active Learning for 3D Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(11): 15454-15466 (2024)
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Xiaoqing Ye, Yang Sun, Dun Liu, Tianrui Li:
A Multisource Data Fusion-based Heterogeneous Graph Attention Network for Competitor Prediction. ACM Trans. Knowl. Discov. Data 18(2): 39:1-39:20 (2024)
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Li Yang, Zhipeng Luo, Shiming Zhang, Fei Teng, Tianrui Li:
Continual Learning for Smart City: A Survey. IEEE Trans. Knowl. Data Eng. 36(12): 7805-7824 (2024)
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Yujie Li, Xin Yang, Qiang Gao, Hao Wang, Junbo Zhang, Tianrui Li:
Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer. IEEE Trans. Knowl. Data Eng. 36(12): 7865-7877 (2024)
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Zhipeng Luo, Qiang Gao, Yazhou He, Hongjun Wang, Milos Hauskrecht, Tianrui Li:
Hierarchical Active Learning With Label Proportions on Data Regions. IEEE Trans. Knowl. Data Eng. 36(12): 8434-8446 (2024)
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Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li:
Open Continual Feature Selection via Granular-Ball Knowledge Transfer. IEEE Trans. Knowl. Data Eng. 36(12): 8967-8980 (2024)
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Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Keyu Liu, Xiaoling Yang:
Heterogeneous Feature Selection Based on Neighborhood Combination Entropy. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3514-3527 (2024)
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  - conf/aaai/LiYWW024
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Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, Tianrui Li:
Learning to Prompt Knowledge Transfer for Open-World Continual Learning. AAAI 2024: 13700-13708
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Xin Gao, Xin Yang, Hao Yu, Yan Kang, Tianrui Li:
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer. CVPR Workshops 2024: 4205-4214
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Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li:
Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. ICDE 2024: 4435-4448
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Huajun He, Zihang Xu, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng:
TMan: A High-Performance Trajectory Data Management System Based on Key-Value Stores. ICDE 2024: 4951-4964
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Zhixuan Shen, Haonan Luo, Sijia Li, Tianrui Li:
Adversarial Training with OCR modality Perturbation for Scene-Text Visual Question Answering. ICME 2024: 1-6
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Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv:
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data. IJCAI 2024: 4192-4200
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Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li:
Personalized Federated Continual Learning via Multi-Granularity Prompt. KDD 2024: 4023-4034
[c158]
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Dekang Qi, Xiuwen Yi, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng:
Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction. KDD 2024: 5590-5601
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Xiaole Zhao, Linze Li, Chengxing Xie, Xiaoming Zhang, Ting Jiang, Wenjie Lin, Shuaicheng Liu, Tianrui Li:
Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation. ACM Multimedia 2024: 1302-1310
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Hao Yu, Xin Yang, Xin Gao, Yihui Feng, Hao Wang, Yan Kang, Tianrui Li:
Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning. ACM Multimedia 2024: 5280-5288
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Fengmao Lv, Changru Nie, Jianyang Zhang, Guowu Yang, Guosheng Lin, Xiao Wu, Tianrui Li:
Rethinking the Effect of Uninformative Class Name in Prompt Learning. ACM Multimedia 2024: 8345-8354
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Ji Huang, Tianrui Li:
Small Object Detection by DETR via Information Augmentation and Adaptive Feature Fusion. MVRMLM@ICMR 2024: 39-44
[i59]
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  - journals/corr/abs-2401-10549
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Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv:
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data. CoRR abs/2401.10549 (2024)
[i58]
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Chaofan Pan, Xin Yang, Hao Wang, Wei Wei, Tianrui Li:
Hi-Core: Hierarchical Knowledge Transfer for Continual Reinforcement Learning. CoRR abs/2401.15098 (2024)
[i57]
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  - journals/corr/abs-2402-19348
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Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR abs/2402.19348 (2024)
[i56]
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Shiming Zhang, Zhipeng Luo, Li Yang, Fei Teng, Tianrui Li:
A Survey of Route Recommendations: Methods, Applications, and Opportunities. CoRR abs/2403.00284 (2024)
[i55]
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Zhixuan Shen, Haonan Luo, Sijia Li, Tianrui Li:
Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question Answering. CoRR abs/2403.09288 (2024)
[i54]
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  - journals/corr/abs-2403-10253
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Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li:
Open Continual Feature Selection via Granular-Ball Knowledge Transfer. CoRR abs/2403.10253 (2024)
[i53]
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  - journals/corr/abs-2404-00983
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Li Yang, Zhipeng Luo, Shiming Zhang, Fei Teng, Tianrui Li:
Continual Learning for Smart City: A Survey. CoRR abs/2404.00983 (2024)
[i52]
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  - journals/corr/abs-2404-05576
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Shuai Guo, Jielei Chu, Lei Zhu, Zhaoyu Li, Tianrui Li:
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms. CoRR abs/2404.05576 (2024)
[i51]
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  - journals/corr/abs-2405-02685
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Xin Gao, Xin Yang, Hao Yu, Yan Kang, Tianrui Li:
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer. CoRR abs/2405.02685 (2024)
[i50]
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  - journals/corr/abs-2405-08463
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Zhikan Wang, Zhongyao Cheng, Jiajie Xiong, Xun Xu, Tianrui Li, Bharadwaj Veeravalli, Xulei Yang:
A Timely Survey on Vision Transformer for Deepfake Detection. CoRR abs/2405.08463 (2024)
[i49]
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  - journals/corr/abs-2406-04777
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Qi Xiong, Kai Tang, Minbo Ma, Jie Xu, Tianrui Li:
TDT Loss Takes It All: Integrating Temporal Dependencies among Targets into Non-Autoregressive Time Series Forecasting. CoRR abs/2406.04777 (2024)
[i48]
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  - journals/corr/abs-2406-12193
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Yanyong Huang, Li Yang, Dongjie Wang, Ke Li, Xiuwen Yi, Fengmao Lv, Tianrui Li:
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection. CoRR abs/2406.12193 (2024)
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  - journals/corr/abs-2407-00113
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Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li:
Personalized Federated Continual Learning via Multi-granularity Prompt. CoRR abs/2407.00113 (2024)
[i46]
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  - journals/corr/abs-2407-14340
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Chengxing Xie, Xiaoming Zhang, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao:
Large Kernel Distillation Network for Efficient Single Image Super-Resolution. CoRR abs/2407.14340 (2024)
[i45]
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  - journals/corr/abs-2408-04158
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Xiaole Zhao, Linze Li, Chengxing Xie, Xiaoming Zhang, Ting Jiang, Wenjie Lin, Shuaicheng Liu, Tianrui Li:
Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation. CoRR abs/2408.04158 (2024)
[i44]
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  - journals/corr/abs-2408-12062
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Chongshou Li, Pin Tang, Xinke Li, Tianrui Li:
Enhancing Sampling Protocol for Robust Point Cloud Classification. CoRR abs/2408.12062 (2024)
[i43]
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  - journals/corr/abs-2409-04942
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Peng Xie, Minbo Ma, Bin Wang, Junbo Zhang, Tianrui Li:
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method. CoRR abs/2409.04942 (2024)
[i42]
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  - journals/corr/abs-2409-14940
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Jinpeng Lin, Xulei Yang, Tianrui Li, Xun Xu:
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training. CoRR abs/2409.14940 (2024)
[i41]
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  - journals/corr/abs-2410-12224
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Zongxin Shen, Yanyong Huang, Minbo Ma, Tianrui Li:
Causally-Aware Unsupervised Feature Selection Learning. CoRR abs/2410.12224 (2024)
2023
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Yunfei Liu, Hongmei Chen, Tianrui Li, Weiyi Li:
A robust graph based multi-label feature selection considering feature-label dependency. Appl. Intell. 53(1): 837-863 (2023)
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Chenbing Li, Jie Hu, Tianrui Li, Shengdong Du, Fei Teng:
An effective multi-task learning model for end-to-end emotion-cause pair extraction. Appl. Intell. 53(3): 3519-3529 (2023)
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Hao Chen, Hongmei Chen, Weiyi Li, Tianrui Li:
Semi-supervised feature selection based on pairwise constraint-guided dual space latent representation learning and double sparse graphs discriminant. Appl. Intell. 53(10): 12288-12307 (2023)
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Jun He, Hongmei Chen, Tianrui Li, Jihong Wan:
Multi-view latent structure learning with rank recovery. Appl. Intell. 53(10): 12647-12665 (2023)
[j362]
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Zaid Al-Huda, Bo Peng, Riyadh Nazar Ali Algburi, Saghir Alfasly, Tianrui Li:
Weakly supervised pavement crack semantic segmentation based on multi-scale object localization and incremental annotation refinement. Appl. Intell. 53(11): 14527-14546 (2023)
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  - https://dblp.org/rec/journals/apin/WangCPLY23
Lingzhi Wang, Hongmei Chen, Bo Peng, Tianrui Li, Tengyu Yin:
Robust multi-label feature selection with shared coupled and dynamic graph regularization. Appl. Intell. 53(13): 16973-16997 (2023)
[j360]
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Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Shengdong Du:
Multi-view subspace clustering for learning joint representation via low-rank sparse representation. Appl. Intell. 53(19): 22511-22530 (2023)
[j359]
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Bo Xiong, Hongmei Chen, Tianrui Li, Xiaoling Yang:
Robust multi-view clustering in latent low-rank space with discrepancy induction. Appl. Intell. 53(20): 23655-23674 (2023)
[j358]
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Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang:
A missing value filling model based on feature fusion enhanced autoencoder. Appl. Intell. 53(21): 24931-24946 (2023)
[j357]
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Zhengji Li, Yuexin Wu, Jin Yang, Jiangchuan Chen, Tianrui Li:
Improving rating predictions with time-varying attention and dual-optimizer. Appl. Intell. 53(21): 26098-26109 (2023)
[j356]
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Panpan Ni, Xiaobo Zhang, Donghai Zhai, Yuxin Zhou, Tianrui Li:
Enhancing diversity and robustness of clustering ensemble via reliability weighted measure. Appl. Intell. 53(24): 30778-30802 (2023)
[j355]
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Yuxin Zhong, Hongjun Wang, Wenlu Yang, Luqing Wang, Tianrui Li:
Multi-objective genetic model for co-clustering ensemble. Appl. Soft Comput. 135: 110058 (2023)
[j354]
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Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu:
Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity. Appl. Soft Comput. 146: 110679 (2023)
[j353]
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Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Hongjun Wang:
Multi-view clustering for multiple manifold learning via concept factorization. Digit. Signal Process. 140: 104118 (2023)
[j352]
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Chuan Luo, Qian Cao, Tianrui Li, Hongmei Chen, Sizhao Wang:
MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark. Expert Syst. Appl. 211: 118554 (2023)
[j351]
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Zhihong Wang, Hongmei Chen, Zhong Yuan, Tianrui Li:
Fuzzy-rough hybrid dimensionality reduction. Fuzzy Sets Syst. 459: 95-117 (2023)
[j350]
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Tengyu Yin, Hongmei Chen, Tianrui Li, Zhong Yuan, Chuan Luo:
Robust feature selection using label enhancement and β-precision fuzzy rough sets for multilabel fuzzy decision system. Fuzzy Sets Syst. 461: 108462 (2023)
[j349]
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Shunyu Zhang, Yu Zheng, Tianrui Li:
Social Relationship Link Inference Based on Graph Convolutional Networks. Hum. Centric Intell. Syst. 3(1): 47-55 (2023)
[j348]
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Xin Yang, Yanhua Li, Tianrui Li:
A review of sequential three-way decision and multi-granularity learning. Int. J. Approx. Reason. 152: 414-433 (2023)
[j347]
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Xiaoqing Ye, Dun Liu, Tianrui Li:
Multi-granularity sequential three-way recommendation based on collaborative deep learning. Int. J. Approx. Reason. 152: 434-455 (2023)
[j346]
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Guoqiang Wang, Pengfei Zhang, Dexian Wang, Hongmei Chen, Tianrui Li:
Fast attribute reduction via inconsistent equivalence classes for large-scale data. Int. J. Approx. Reason. 163: 109039 (2023)
[j345]
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Xiaobo Zhang, Donghai Zhai, Tianrui Li, Yuxin Zhou, Yang Lin:
Image inpainting based on deep learning: A review. Inf. Fusion 90: 74-94 (2023)
[j344]
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Qiang Gao, Wei Wang, Li Huang, Xin Yang, Tianrui Li, Hamido Fujita:
Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion. Inf. Fusion 92: 46-63 (2023)
[j343]
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Pengfei Zhang, Tianrui Li, Guoqiang Wang, Dexian Wang, Pei Lai, Fan Zhang:
A multi-source information fusion model for outlier detection. Inf. Fusion 93: 192-208 (2023)
[j342]
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Yanyong Huang, Kejun Guo, Xiuwen Yi, Zhong Li, Tianrui Li:
Incremental unsupervised feature selection for dynamic incomplete multi-view data. Inf. Fusion 96: 312-327 (2023)
[j341]
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Zonglei Chen, Minbo Ma, Tianrui Li, Hongjun Wang, Chongshou Li:
Long sequence time-series forecasting with deep learning: A survey. Inf. Fusion 97: 101819 (2023)
[j340]
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Dexian Wang, Tianrui Li, Wei Huang, Zhipeng Luo, Ping Deng, Pengfei Zhang, Minbo Ma:
A multi-view clustering algorithm based on deep semi-NMF. Inf. Fusion 99: 101884 (2023)
[j339]
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Tengyu Yin, Hongmei Chen, Zhong Yuan, Tianrui Li, Keyu Liu:
Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection. Inf. Sci. 621: 200-226 (2023)
[j338]
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Yuqin Yao, Hua Meng, Yang Gao, Zhiguo Long, Tianrui Li:
Linear dimensionality reduction method based on topological properties. Inf. Sci. 624: 493-511 (2023)
[j337]
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Dongxue Xia, Yan Yang, Shuhong Yang, Tianrui Li:
Incomplete multi-view clustering via kernelized graph learning. Inf. Sci. 625: 1-19 (2023)
[j336]
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Rasha Al-Huthaifi, Tianrui Li, Wei Huang, Jin Gu, Chongshou Li:
Federated learning in smart cities: Privacy and security survey. Inf. Sci. 632: 833-857 (2023)
[j335]
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Jie Hu, Zhanao Hu, Tianrui Li, Shengdong Du:
A contrastive learning based universal representation for time series forecasting. Inf. Sci. 635: 86-98 (2023)
[j334]
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Jia Liu, Wei Huang, Hao Li, Shenggong Ji, Yajun Du, Tianrui Li:
SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection. Inf. Sci. 640: 119063 (2023)
[j333]
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Zhihong Wang, Hongmei Chen, Xiaoling Yang, Jihong Wan, Tianrui Li, Chuan Luo:
Fuzzy rough dimensionality reduction: A feature set partition-based approach. Inf. Sci. 644: 119266 (2023)
[j332]
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Yong Yang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Multi-label feature selection based on stable label relevance and label-specific features. Inf. Sci. 648: 119525 (2023)
[j331]
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Minbo Ma, Peng Xie, Fei Teng, Bin Wang, Shenggong Ji, Junbo Zhang, Tianrui Li:
HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting. Inf. Sci. 648: 119580 (2023)
[j330]
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Taha M. Rajeh, Tianrui Li, Chongshou Li, Muhammad Hafeez Javed, Zhipeng Luo, Fares Alhaek:
Modeling multi-regional temporal correlation with gated recurrent unit and multiple linear regression for urban traffic flow prediction. Knowl. Based Syst. 262: 110237 (2023)
[j329]
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Ping Deng, Tianrui Li, Dexian Wang, Hongjun Wang, Hong Peng, Shi-Jinn Horng:
Multi-view clustering guided by unconstrained non-negative matrix factorization. Knowl. Based Syst. 266: 110425 (2023)
[j328]
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  - journals/kbs/WangCJPMZ0023
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Zhaoyuan Wang, Shun Chen, Shenggong Ji, Zheyi Pan, Chuishi Meng, Junbo Zhang, Tianrui Li, Yu Zheng:
Housing rental suggestion based on e-commerce data. Knowl. Based Syst. 268: 110474 (2023)
[j327]
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Mengshi Huang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li:
Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection. Knowl. Based Syst. 282: 111105 (2023)
[j326]
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  - journals/kbs/JavedLYHRZ23
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Muhammad Hafeez Javed, Tianrui Li, Zeng Yu, Ayyaz Hussain, Taha M. Rajeh, Fan Zhang:
Pyramidal temporal frame prediction for efficient anomalous event detection in smart surveillance systems. Knowl. Based Syst. 282: 111111 (2023)
[j325]
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  - journals/mlc/LiCLYL23
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Weiyi Li, Hongmei Chen, Tianrui Li, Tengyu Yin, Chuan Luo:
Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning. Int. J. Mach. Learn. Cybern. 14(9): 3025-3045 (2023)
[j324]
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Lishan Wu, Jie Hu, Fei Teng, Tianrui Li, Shengdong Du:
Text semantic matching with an enhanced sample building method based on contrastive learning. Int. J. Mach. Learn. Cybern. 14(9): 3105-3112 (2023)
[j323]
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Lei Ma, Chuan Luo, Tianrui Li, Hongmei Chen, Dun Liu:
Dynamic graph-based attribute reduction approach with fuzzy rough sets. Int. J. Mach. Learn. Cybern. 14(10): 3501-3516 (2023)
[j322]
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Muhammad Hafeez Javed, Zeng Yu, Tianrui Li, Noreen Anwar, Taha M. Rajeh:
learning anomalous human actions using frames of interest and decoderless deep embedded clustering. Int. J. Mach. Learn. Cybern. 14(10): 3575-3589 (2023)
[j321]
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Jielei Chu, Jing Liu, Hongjun Wang, Hua Meng, Zhiguo Gong, Tianrui Li:
Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7542-7558 (2023)
[j320]
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  - journals/pr/WanCLLY23
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Jihong Wan, Hongmei Chen, Tianrui Li, Min Li, Xiaoling Yang:
High-order interaction feature selection for classification learning: A robust knowledge metric perspective. Pattern Recognit. 143: 109733 (2023)
[j319]
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Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Hongjun Wang:
Auto-attention mechanism for multi-view deep embedding clustering. Pattern Recognit. 143: 109764 (2023)
[j318]
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  - journals/scientometrics/XiaLL23
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Wanjun Xia, Tianrui Li, Chongshou Li:
A review of scientific impact prediction: tasks, features and methods. Scientometrics 128(1): 543-585 (2023)
[j317]
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Dexian Wang, Tianrui Li, Ping Deng, Jia Liu, Wei Huang, Fan Zhang:
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering. IEEE Trans. Big Data 9(1): 328-340 (2023)
[j316]
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Wei Huang, Jia Liu, Tianrui Li, Shenggong Ji, Dexian Wang, Tianqiang Huang:
FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning. IEEE Trans. Big Data 9(3): 792-804 (2023)
[j315]
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Ping Deng, Tianrui Li, Hongjun Wang, Dexian Wang, Shi-Jinn Horng, Rui Liu:
Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering. IEEE Trans. Comput. Soc. Syst. 10(3): 910-921 (2023)
[j314]
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Jihong Wan, Hongmei Chen, Tianrui Li, Zhong Yuan, Jia Liu, Wei Huang:
Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures. IEEE Trans. Cybern. 53(2): 1208-1221 (2023)
[j313]
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  - journals/tfs/WanCLSY23
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Jihong Wan, Hongmei Chen, Tianrui Li, Binbin Sang, Zhong Yuan:
Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space. IEEE Trans. Fuzzy Syst. 31(1): 213-225 (2023)
[j312]
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  - journals/tfs/YangCWLYWL23
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Xiaoling Yang, Hongmei Chen, Hao Wang, Tianrui Li, Zeng Yu, Zhihong Wang, Chuan Luo:
Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data. IEEE Trans. Fuzzy Syst. 31(5): 1614-1627 (2023)
[j311]
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Pengfei Zhang, Tianrui Li, Zhong Yuan, Zhixuan Deng, Guoqiang Wang, Dexian Wang, Fan Zhang:
A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures. IEEE Trans. Fuzzy Syst. 31(9): 2975-2988 (2023)
[j310]
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Zhihong Wang, Hongmei Chen, Zhong Yuan, Jihong Wan, Tianrui Li:
Multiscale Fuzzy Entropy-Based Feature Selection. IEEE Trans. Fuzzy Syst. 31(9): 3248-3262 (2023)
[j309]
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Keyu Liu, Tianrui Li, Xibei Yang, Hongmei Chen, Jie Wang, Zhixuan Deng:
SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy. IEEE Trans. Fuzzy Syst. 31(10): 3384-3396 (2023)
[j308]
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Binbin Sang, Weihua Xu, Hongmei Chen, Tianrui Li:
Active Antinoise Fuzzy Dominance Rough Feature Selection Using Adaptive K-Nearest Neighbors. IEEE Trans. Fuzzy Syst. 31(11): 3944-3958 (2023)
[j307]
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Tengyu Yin, Hongmei Chen, Zhong Yuan, Jihong Wan, Keyu Liu, Shi-Jinn Horng, Tianrui Li:
A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction. IEEE Trans. Fuzzy Syst. 31(12): 4516-4528 (2023)
[j306]
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  - journals/thms/LuoHX0H023
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Zhipeng Luo, Yazhou He, Yanbing Xue, Hongjun Wang, Milos Hauskrecht, Tianrui Li:
Hierarchical Active Learning With Qualitative Feedback on Regions. IEEE Trans. Hum. Mach. Syst. 53(3): 581-589 (2023)
[j305]
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Thi-Van Nguyen, Shi-Jinn Horng, Dinh-Trung Vu, Hongmei Chen, Tianrui Li:
LAWNet: A Lightweight Attention-Based Deep Learning Model for Wrist Vein Verification in Smartphones Using RGB Images. IEEE Trans. Instrum. Meas. 72: 1-10 (2023)
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Wenlu Yang, Hongjun Wang, Yinghui Zhang, Zehao Liu, Tianrui Li:
Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder. ACM Trans. Intell. Syst. Technol. 14(1): 11:1-11:18 (2023)
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Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu:
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization. ACM Trans. Knowl. Discov. Data 17(7): 99:1-99:20 (2023)
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Jia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo Zhang:
Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(2): 2133-2146 (2023)
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Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
Spark Rough Hypercuboid Approach for Scalable Feature Selection. IEEE Trans. Knowl. Data Eng. 35(3): 3130-3144 (2023)
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Wei Huang, Jia Liu, Tianrui Li, Tianqiang Huang, Shenggong Ji, Jihong Wan:
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework. IEEE Trans. Knowl. Data Eng. 35(4): 3912-3924 (2023)
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Fei Teng, Yiming Liu, Tianrui Li, Yi Zhang, Shuangqing Li, Yue Zhao:
A Review on Deep Neural Networks for ICD Coding. IEEE Trans. Knowl. Data Eng. 35(5): 4357-4375 (2023)
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Jia Liu, Wei Huang, Tianrui Li, Shenggong Ji, Junbo Zhang:
Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4621-4633 (2023)
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Zhaoyuan Wang, Zheyi Pan, Shun Chen, Shenggong Ji, Xiuwen Yi, Junbo Zhang, Jingyuan Wang, Zhiguo Gong, Tianrui Li, Yu Zheng:
Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5282-5295 (2023)
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Wei Chen, Hongjun Wang, Zhiguo Long, Tianrui Li:
Fast Flexible Bipartite Graph Model for Co-Clustering. IEEE Trans. Knowl. Data Eng. 35(7): 6930-6940 (2023)
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Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang:
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(10): 9973-9984 (2023)
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Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li:
C²IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 35(10): 10681-10694 (2023)
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Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10889-10903 (2023)
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Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection. IEEE Trans. Parallel Distributed Syst. 34(6): 1830-1847 (2023)
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Xuemei Ding, Jielei Chu, Jiangtao Hu, Hua Yu, Tianrui Li:
A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers. CCIS 2023: 182-186
[c152]
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Dawei Zhan, Yuqian Gui, Tianrui Li:
An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation. CEC 2023: 1-8
[c151]
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Zhanyun Zhang, Chuan Luo, Tianrui Li, Hongmei Chen, Dun Liu:
A Novel Online Multi-label Feature Selection Approach for Multi-dimensional Streaming Data. CICAI (2) 2023: 159-171
[c150]
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Chengxing Xie, Xiaoming Zhang, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao:
Large Kernel Distillation Network for Efficient Single Image Super-Resolution. CVPR Workshops 2023: 1283-1292
[c149]
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Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960
[c148]
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Zonglei Chen, Fan Zhang, Tianrui Li, Chongshou Li:
MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting. ICANN (6) 2023: 218-230
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Yuqian Gui, Dawei Zhan, Tianrui Li:
An Exploitation-Enhanced Bayesian Optimization Algorithm for High-Dimensional Expensive Problems. ICANN (3) 2023: 295-306
[c146]
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Xiaoming Zhang, Tianrui Li, Xiaole Zhao:
Boosting Single Image Super-Resolution via Partial Channel Shifting. ICCV 2023: 13177-13186
[c145]
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Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li:
Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM. ICDE 2023: 3811-3812
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Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li:
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation. ICML 2023: 23033-23044
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Lilan Peng, Xiu Wang, Hongchun Lu, Xiangyu Guo, Tianrui Li, Shenggong Ji:
Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction. IJCNN 2023: 1-9
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Min Li, Guoyin Wang, Zeng Yu, Hongjun Wang, Jihong Wan, Tianrui Li:
Gaussian Function Representation of 2nd-Order Normal Cloud Model. ISKE 2023: 47-54
[c141]
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Muhammad Hafeez Javed, Zeng Yu, Taha M. Rajeh, Fares Alhaek, Tianrui Li:
Content-Based Video Clustering Using Hybrid Multi -View Spatio- Temporal Feature Learning. ISKE 2023: 78-85
[c140]
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Fares Alhaek, Weichao Liang, Taha M. Rajeh, Muhammad Hafeez Javed, Tianrui Li:
Multi-Modal Deep Learning Architecture for Accurate Driver Behavior Recognition in Automated Driving Systems. ISKE 2023: 98-105
[c139]
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Yunxiao Shi, Zeng Yu, Tianrui Li, Shengdong Du, Yeyiran Jing:
A Parted-based Method for Unsupervised Visible-Infrared Re-identification. ISKE 2023: 135-142
[c138]
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Yufei Han, Chaofan Li, Tianrui Li, Fan Zhang:
A Multi-task Bearing Fault Diagnosis Method Based on Multi-scale Residual CNN with Dual Attention. ISKE 2023: 374-381
[c137]
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Taha M. Rajeh, Weichao Liang, Muhammad Hafeez Javed, Fares Alhaek, Tianrui Li:
Urban Traffic Flow Prediction Based on Regional Spatial-Temporal Correlation with Dual Attention. ISKE 2023: 402-409
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Binyu Tan, Junrui Shi, Bin Wang, Yanwei Yu, Feng Hong, Tianrui Li:
DeepNWP4Wind: A Wind Forcasting Correction Solution in View of Multi-Criteria Evaluation. ISKE 2023: 573-579
[c135]
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Zhipeng Ma, Chuishi Meng, Huimin Ren, Sijie Ruan, Jie Bao, Xiaoting Wang, Tianrui Li, Yu Zheng:
SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records. KDD 2023: 4595-4604
[c134]
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Xin Yang, Yanhua Li, Shuyin Xia, Xiaoyu Lian, Guoyin Wang, Tianrui Li:
Granular-Ball Three-Way Decision. IJCRS 2023: 283-295
[i40]
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Yongyi Su, Xun Xu, Tianrui Li, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. CoRR abs/2303.10856 (2023)
[i39]
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Yuxia Chen, Pengcheng Fang, Jianhui Yu, Xiaoling Zhong, Xiaoming Zhang, Tianrui Li:
Hi-ResNet: A High-Resolution Remote Sensing Network for Semantic Segmentation. CoRR abs/2305.12691 (2023)
[i38]
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Xinyao Liu, Shengdong Du, Fengmao Lv, Hongtao Xue, Jie Hu, Tianrui Li:
A Pre-trained Data Deduplication Model based on Active Learning. CoRR abs/2308.00721 (2023)
[i37]
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Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, Tianrui Li:
Learning to Prompt Knowledge Transfer for Open-World Continual Learning. CoRR abs/2312.14990 (2023)
[i36]
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Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li:
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting. CoRR abs/2312.16403 (2023)
[i35]
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Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li:
Federated Continual Learning via Knowledge Fusion: A Survey. CoRR abs/2312.16475 (2023)
2022
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Chuanwei Li, Hongmei Chen, Tianrui Li, Xiaoling Yang:
A stable community detection approach for complex network based on density peak clustering and label propagation. Appl. Intell. 52(2): 1188-1208 (2022)
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Shuhao Huang, Hongmei Chen, Tianrui Li, Hao Chen, Chuan Luo:
Feature selection via minimizing global redundancy for imbalanced data. Appl. Intell. 52(8): 8685-8707 (2022)
[j289]
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Haohan Lu, Hongmei Chen, Tianrui Li, Hao Chen, Chuan Luo:
Multi-label feature selection based on manifold regularization and imbalance ratio. Appl. Intell. 52(10): 11652-11671 (2022)
[j288]
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  - journals/asc/LiuLYYL22
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Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu:
Neighborhood rough set based ensemble feature selection with cross-class sample granulation. Appl. Soft Comput. 131: 109747 (2022)
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Zhihong Wang, Hongmei Chen, Zhong Yuan, Xiaoling Yang, Pengfei Zhang, Tianrui Li:
Exploiting fuzzy rough mutual information for feature selection. Appl. Soft Comput. 131: 109769 (2022)
[j286]
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Xiong Liao, Meng Liao, Andi Guo, Xinran Luo, Ziwei Li, Weiyuan Chen, Tianrui Li, Shengdong Du, Zhen Jia:
Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation. Hum. Centric Intell. Syst. 2(1-2): 1-13 (2022)
[j285]
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Pengfei Zhang, Tianrui Li, Chuan Luo, Guoqiang Wang:
AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets. Int. J. Approx. Reason. 140: 7-30 (2022)
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Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu:
Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. Int. J. Approx. Reason. 148: 57-67 (2022)
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Bin Wang, Jie Lu, Tianrui Li, Zheng Yan, Guangquan Zhang:
A quantile fusion methodology for deep forecasting. Neurocomputing 483: 286-298 (2022)
[j282]
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Hao Chen, Hongmei Chen, Weiyi Li, Tianrui Li, Chuan Luo, Jihong Wan:
Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection. Neurocomputing 490: 104-123 (2022)
[j281]
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Jian Zheng, Chuan Luo, Tianrui Li, Hongmei Chen:
A novel hierarchical feature selection method based on large margin nearest neighbor learning. Neurocomputing 497: 1-12 (2022)
[j280]
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Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li:
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning. Neurocomputing 508: 293-304 (2022)
[j279]
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Congying Zeng, Hongmei Chen, Tianrui Li, Jihong Wan:
Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization. Neurocomputing 511: 1-21 (2022)
[j278]
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  - journals/inffus/ZhangLYLWLD22
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Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Guoqiang Wang, Jia Liu, Shengdong Du:
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. Inf. Fusion 80: 87-103 (2022)
[j277]
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Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang:
Granular cabin: An efficient solution to neighborhood learning in big data. Inf. Sci. 583: 189-201 (2022)
[j276]
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Xin Yang, Yujie Li, Dan Meng, Yuxuan Yang, Dun Liu, Tianrui Li:
Three-way multi-granularity learning towards open topic classification. Inf. Sci. 585: 41-57 (2022)
[j275]
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Chuan Luo, Jian Zheng, Tianrui Li, Hongmei Chen, Yanyong Huang, Xi Peng:
Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving. Inf. Sci. 586: 662-675 (2022)
[j274]
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Fei Teng, Jian Teng, Lu Qiao, Shengdong Du, Tianrui Li:
A multi-step forecasting model of online car-hailing demand. Inf. Sci. 587: 572-586 (2022)
[j273]
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Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang, Tianqiang Huang:
Fairness and accuracy in horizontal federated learning. Inf. Sci. 589: 170-185 (2022)
[j272]
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Xin Yang, Miaomiao Li, Hamido Fujita, Dun Liu, Tianrui Li:
Incremental rough reduction with stable attribute group. Inf. Sci. 589: 283-299 (2022)
[j271]
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Yanyong Huang, Kejun Guo, Xiuwen Yi, Zhong Li, Tianrui Li:
Matrix representation of the conditional entropy for incremental feature selection on multi-source data. Inf. Sci. 591: 263-286 (2022)
[j270]
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Xin Yang, Yujie Li, Qiuke Li, Dun Liu, Tianrui Li:
Temporal-spatial three-way granular computing for dynamic text sentiment classification. Inf. Sci. 596: 551-566 (2022)
[j269]
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Qianqian Huang, Yanyong Huang, Tianrui Li, Xin Yang:
Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data. Inf. Sci. 597: 358-391 (2022)
[j268]
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Zhiguo Long, Yang Gao, Hua Meng, Yuqin Yao, Tianrui Li:
Clustering based on local density peaks and graph cut. Inf. Sci. 600: 263-286 (2022)
[j267]
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Xin Yang, Yuxuan Yang, Junfang Luo, Dun Liu, Tianrui Li:
A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data. Inf. Sci. 601: 287-305 (2022)
[j266]
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Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li:
Contextual spatio-temporal graph representation learning for reinforced human mobility mining. Inf. Sci. 606: 230-249 (2022)
[j265]
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Dexian Wang, Tianrui Li, Ping Deng, Hongjun Wang, Pengfei Zhang:
Dual graph-regularized sparse concept factorization for clustering. Inf. Sci. 607: 1074-1088 (2022)
[j264]
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Jingliu Lai, Hongmei Chen, Tianrui Li, Xiaoling Yang:
Adaptive graph learning for semi-supervised feature selection with redundancy minimization. Inf. Sci. 609: 465-488 (2022)
[j263]
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Jia Liu, Tianrui Li, Zhong Yuan, Wei Huang, Peng Xie, Qianqian Huang:
Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection. Inf. Sci. 609: 626-643 (2022)
[j262]
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Xiaoling Yang, Hongmei Chen, Tianrui Li, Pengfei Zhang, Chuan Luo:
Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection. Inf. Sci. 610: 52-72 (2022)
[j261]
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Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Pengfei Zhang, Shiming Zhang, Zhipeng Luo:
Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy. Inf. Sci. 615: 385-404 (2022)
[j260]
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  - journals/kbs/YangCFLL22
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Xin Yang, Yang Chen, Hamido Fujita, Dun Liu, Tianrui Li:
Mixed data-driven sequential three-way decision via subjective-objective dynamic fusion. Knowl. Based Syst. 237: 107728 (2022)
[j259]
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Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li:
Multi-local Collaborative AutoEncoder. Knowl. Based Syst. 239: 107844 (2022)
[j258]
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Ping Deng, Fan Zhang, Tianrui Li, Hongjun Wang, Shi-Jinn Horng:
Biased unconstrained non-negative matrix factorization for clustering. Knowl. Based Syst. 239: 108040 (2022)
[j257]
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Weiyi Li, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang:
Unsupervised feature selection via self-paced learning and low-redundant regularization. Knowl. Based Syst. 240: 108150 (2022)
[j256]
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Chuan Luo, Hong Pi, Tianrui Li, Hongmei Chen, Yanyong Huang:
Novel fuzzy rank discrimination measures for monotonic ordinal feature selection. Knowl. Based Syst. 240: 108178 (2022)
[j255]
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Yanyong Huang, Kejun Guo, Xiuwen Yi, Jing Yu, Zongxin Shen, Tianrui Li:
T-copula and Wasserstein distance-based stochastic neighbor embedding. Knowl. Based Syst. 243: 108431 (2022)
[j254]
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  - journals/kbs/LiuWCWL22
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Zehao Liu, Hongjun Wang, Wei Chen, Luqing Wang, Tianrui Li:
Bilateral discriminative autoencoder model orienting co-representation learning. Knowl. Based Syst. 245: 108653 (2022)
[j253]
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  - journals/kbs/LiaoHLDP22
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Huifa Liao, Jie Hu, Tianrui Li, Shengdong Du, Bo Peng:
Deep linear graph attention model for attributed graph clustering. Knowl. Based Syst. 246: 108665 (2022)
[j252]
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  - journals/kbs/ZhaoZQWZL22
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Xiaole Zhao, Yulun Zhang, Yun Qin, Qian Wang, Tao Zhang, Tianrui Li:
Single MR image super-resolution via channel splitting and serial fusion network. Knowl. Based Syst. 246: 108669 (2022)
[j251]
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  - journals/kbs/GaoWZYML22
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Qiang Gao, Wei Wang, Kunpeng Zhang, Xin Yang, Congcong Miao, Tianrui Li:
Self-supervised representation learning for trip recommendation. Knowl. Based Syst. 247: 108791 (2022)
[j250]
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  - journals/kbs/YangCLL22
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Xiaoling Yang, Hongmei Chen, Tianrui Li, Chuan Luo:
A noise-aware fuzzy rough set approach for feature selection. Knowl. Based Syst. 250: 109092 (2022)
[j249]
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  - journals/kbs/WangLWL22
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Luqing Wang, Junwei Luo, Hongjun Wang, Tianrui Li:
Markov clustering ensemble. Knowl. Based Syst. 251: 109196 (2022)
[j248]
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  - journals/kbs/LaiCLLW22
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Jingliu Lai, Hongmei Chen, Weiyi Li, Tianrui Li, Jihong Wan:
Semi-supervised feature selection via adaptive structure learning and constrained graph learning. Knowl. Based Syst. 251: 109243 (2022)
[j247]
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  - journals/kbs/LuoLCLY22
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Chuan Luo, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
Fusing entropy measures for dynamic feature selection in incomplete approximation spaces. Knowl. Based Syst. 252: 109329 (2022)
[j246]
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  - journals/kbs/SangCWYLXL22
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Binbin Sang, Hongmei Chen, Jihong Wan, Lei Yang, Tianrui Li, Weihua Xu, Chuan Luo:
Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification. Knowl. Based Syst. 253: 109523 (2022)
[j245]
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Siyu Li, Jin Yang, Gang Liang, Tianrui Li, Kui Zhao:
SybilFlyover: Heterogeneous graph-based fake account detection model on social networks. Knowl. Based Syst. 258: 110038 (2022)
[j244]
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  - journals/ker/LongMLLS22
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Zhiguo Long, Hua Meng, Tianrui Li, Heng-Chao Li, Michael Sioutis:
A framework for belief revision under restrictions. Knowl. Eng. Rev. 37: e8 (2022)
[j243]
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  - journals/mlc/TangZLL22
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Jiqiang Tang, Ankang Zuo, Jian Liu, Tianrui Li:
Seasonal decomposition and combination model for short-term forecasting of subway ridership. Int. J. Mach. Learn. Cybern. 13(1): 145-162 (2022)
[j242]
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  - journals/mlc/KhanHLDZ22
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Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Yimiao Zhao:
Multi-view low rank sparse representation method for three-way clustering. Int. J. Mach. Learn. Cybern. 13(1): 233-253 (2022)
[j241]
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Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Ahmed Saad Hussein:
Multi-view document clustering based on geometrical similarity measurement. Int. J. Mach. Learn. Cybern. 13(3): 663-675 (2022)
[j240]
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Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Hongjun Wang:
Multi-view data clustering via non-negative matrix factorization with manifold regularization. Int. J. Mach. Learn. Cybern. 13(3): 677-689 (2022)
[j239]
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  - journals/mlc/JavedYLRRW22
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Muhammad Hafeez Javed, Zeng Yu, Tianrui Li, Taha M. Rajeh, Fahad Rafique, Syed Waqar:
Hybrid two-stream dynamic CNN for view adaptive human action recognition using ensemble learning. Int. J. Mach. Learn. Cybern. 13(4): 1157-1166 (2022)
[j238]
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Xun Gong, Xu Zhao, Lin Fan, Tianrui Li, Ying Guo, Jun Luo:
BUS-net: a bimodal ultrasound network for breast cancer diagnosis. Int. J. Mach. Learn. Cybern. 13(11): 3311-3328 (2022)
[j237]
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Dan Huang, Jie Hu, Tianrui Li, Shengdong Du, Hongmei Chen:
Consistency regularization for deep semi-supervised clustering with pairwise constraints. Int. J. Mach. Learn. Cybern. 13(11): 3359-3372 (2022)
[j236]
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  - journals/pr/WanCLHLL22
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Jihong Wan, Hongmei Chen, Tianrui Li, Wei Huang, Min Li, Chuan Luo:
R2CI: Information theoretic-guided feature selection with multiple correlations. Pattern Recognit. 127: 108603 (2022)
[j235]
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  - journals/pr/YuanCL22
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Zhong Yuan, Hongmei Chen, Tianrui Li:
Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data. Pattern Recognit. 127: 108651 (2022)
[j234]
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  - journals/tbd/YiDLZLZ22
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Xiuwen Yi, Zhewen Duan, Ruiyuan Li, Junbo Zhang, Tianrui Li, Yu Zheng:
Predicting Fine-Grained Air Quality Based on Deep Neural Networks. IEEE Trans. Big Data 8(5): 1326-1339 (2022)
[j233]
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  - journals/tcyb/YuanCLSW22
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Zhong Yuan, Hongmei Chen, Tianrui Li, Binbin Sang, Shu Wang:
Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data. IEEE Trans. Cybern. 52(8): 8399-8412 (2022)
[j232]
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  - journals/tfs/LiZLBYW22
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Daiwei Li, Haiqing Zhang, Tianrui Li, Abdelaziz Bouras, Xi Yu, Tao Wang:
Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set. IEEE Trans. Fuzzy Syst. 30(5): 1396-1408 (2022)
[j231]
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  - journals/tfs/SangCYLX22
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Binbin Sang, Hongmei Chen, Lei Yang, Tianrui Li, Weihua Xu:
Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets. IEEE Trans. Fuzzy Syst. 30(6): 1683-1697 (2022)
[j230]
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Zhong Yuan, Hongmei Chen, Pengfei Zhang, Jihong Wan, Tianrui Li:
A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information. IEEE Trans. Fuzzy Syst. 30(9): 3395-3409 (2022)
[j229]
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  - journals/tfs/YangLLL22
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Xin Yang, Yujie Li, Dun Liu, Tianrui Li:
Hierarchical Fuzzy Rough Approximations With Three-Way Multigranularity Learning. IEEE Trans. Fuzzy Syst. 30(9): 3486-3500 (2022)
[j228]
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Binbin Sang, Hongmei Chen, Lei Yang, Jihong Wan, Tianrui Li, Weihua Xu:
Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification. IEEE Trans. Fuzzy Syst. 30(12): 5181-5195 (2022)
[j227]
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Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li:
Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM. IEEE Trans. Knowl. Data Eng. 34(6): 3002-3015 (2022)
[j226]
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Xiuwen Yi, Xiaodu Yang, Yanyong Huang, Songyu Ke, Junbo Zhang, Tianrui Li, Yu Zheng:
Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach. IEEE Trans. Knowl. Data Eng. 34(12): 5796-5808 (2022)
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Zhong Yuan, Hongmei Chen, Tianrui Li, Xianyong Zhang, Binbin Sang:
Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5175-5187 (2022)
[c133]
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Xuemei Ding, Jielei Chu, Dao Xiang, Tianrui Li:
DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation. CCIS 2022: 119-124
[c132]
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Qing Zhao, Hua Yu, Jielei Chu, Tianrui Li:
Few-shot Learning with Attention Mechanism and Transfer Learning for Import and Export Commodities Classification. CCIS 2022: 125-130
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Qide Liu, Jielei Chu, Hua Yu, Xinlei Wang, Tianrui Li:
VQ-ViCNet: Strengthen Unique Features Comparison Autoencoder with Embedding Space for Covid-19 Image Classification. CCIS 2022: 464-468
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Yujiao Shi, Tunan Zhou, Zeqing You, Jielei Chu, Tianrui Li:
AM-DenseNet:A Novel DenseNet Framework using Attention Mechanisms for COVID-19 CT Image Classification. CCIS 2022: 474-479
[c129]
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Tao Liang, Guosheng Lin, Mingyang Wan, Tianrui Li, Guojun Ma, Fengmao Lv:
Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification. CVPR 2022: 15471-15480
[c128]
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Huajun He, Ruiyuan Li, Sijie Ruan, Tianfu He, Jie Bao, Tianrui Li, Yu Zheng:
TraSS: Efficient Trajectory Similarity Search Based on Key-Value Data Stores. ICDE 2022: 2306-2318
[c127]
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Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. IJCNN 2022: 1-8
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Tianrui Li, Rui Mao, Guoyin Wang, Fei Teng, Lei Zhang, Li Wang, Laizhong Cui, Jie Hu:
Big Data - 10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022, Proceedings. Communications in Computer and Information Science 1709, Springer 2022, ISBN 978-981-19-8330-6 [contents]
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Partha Pratim Roy, Arvind Agarwal, Tianrui Li, P. Krishna Reddy, R. Uday Kiran:
Big Data Analytics - 10th International Conference, BDA 2022, Hyderabad, India, December 19-22, 2022, Proceedings. Lecture Notes in Computer Science 13773, Springer 2022, ISBN 978-3-031-24093-5 [contents]
[e9]
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João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13280, Springer 2022, ISBN 978-3-031-05932-2 [contents]
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João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13281, Springer 2022, ISBN 978-3-031-05935-3 [contents]
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João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13282, Springer 2022, ISBN 978-3-031-05980-3 [contents]
[i34]
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Benhan Li, Shengdong Du, Tianrui Li:
A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting. CoRR abs/2202.11402 (2022)
[i33]
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  - journals/corr/abs-2202-12586
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Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. CoRR abs/2202.12586 (2022)
[i32]
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  - journals/corr/abs-2204-02650
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Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang:
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. CoRR abs/2204.02650 (2022)
[i31]
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Yanyong Huang, Kejun Guo, Xiuwen Yi, Zhong Li, Tianrui Li:
Incremental Unsupervised Feature Selection for Dynamic Incomplete Multi-view Data. CoRR abs/2204.02973 (2022)
[i30]
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Benhan Li, Shengdong Du, Tianrui Li, Jie Hu, Zhen Jia:
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting. CoRR abs/2206.05495 (2022)
[i29]
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Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li:
C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection. CoRR abs/2208.09736 (2022)
[i28]
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Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang:
A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder. CoRR abs/2208.13495 (2022)
[i27]
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  - journals/corr/abs-2211-14813
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Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li:
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation. CoRR abs/2211.14813 (2022)
2021
[j224]
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Xinping Wu, Hongmei Chen, Tianrui Li, Jihong Wan:
Semi-supervised feature selection with minimal redundancy based on local adaptive. Appl. Intell. 51(11): 8542-8563 (2021)
[j223]
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  - journals/asc/YuanCXZLL21
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Zhong Yuan, Hongmei Chen, Peng Xie, Pengfei Zhang, Jia Liu, Tianrui Li:
Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions. Appl. Soft Comput. 107: 107353 (2021)
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Xiaobo Zhang, Yan Yang, Tianrui Li, Yiling Zhang, Hao Wang, Hamido Fujita:
CMC: A consensus multi-view clustering model for predicting Alzheimer's disease progression. Comput. Methods Programs Biomed. 199: 105895 (2021)
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Haipeng Zou, Xun Gong, Jun Luo, Tianrui Li:
A Robust Breast ultrasound segmentation method under noisy annotations. Comput. Methods Programs Biomed. 209: 106327 (2021)
[j220]
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Zhong Yuan, Hongmei Chen, Tianrui Li, Jia Liu, Shu Wang:
Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection. Fuzzy Sets Syst. 421: 1-28 (2021)
[j219]
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Tianrui Li, Guandong Xu:
Human-Centric Intelligent Systems: A Welcome Note from Editor(s)-in-Chief. Hum. Centric Intell. Syst. 1(1-2): 1 (2021)
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Lisha Chen, Tianrui Li, Huaishao Luo, Chengfeng Yin:
Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis. Hum. Centric Intell. Syst. 1(1-2): 25 (2021)
[j217]
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Shan Yan, Hongjun Wang, Tianrui Li, Jielei Chu, Jin Guo:
Semi-Supervised Density Peaks Clustering Based on Constraint Projection. Int. J. Comput. Intell. Syst. 14(1): 140-147 (2021)
[j216]
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Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Yimiao Zhao:
Deep embedding clustering based on contractive autoencoder. Neurocomputing 433: 96-107 (2021)
[j215]
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Pengfei Zhang, Tianrui Li, Guoqiang Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu:
Multi-source information fusion based on rough set theory: A review. Inf. Fusion 68: 85-117 (2021)
[j214]
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Wei Huang, Tianrui Li, Jia Liu, Peng Xie, Shengdong Du, Fei Teng:
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability. Inf. Fusion 75: 28-40 (2021)
[j213]
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Xin Yang, Dun Liu, Xibei Yang, Keyu Liu, Tianrui Li:
Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations. Inf. Sci. 550: 71-90 (2021)
[j212]
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Yanping Wu, Yinghui Zhang, Hongjun Wang, Ping Deng, Tianrui Li:
Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints. Inf. Sci. 556: 111-127 (2021)
[j211]
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Yiling Zhang, Hao Wang, Yan Yang, Wei Zhou, Tianrui Li, Xiaocao Ouyang, Hongyang Chen:
Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering. Inf. Sci. 570: 795-814 (2021)
[j210]
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Guoqiang Wang, Tianrui Li, Pengfei Zhang, Qianqian Huang, Hongmei Chen:
Double-local rough sets for efficient data mining. Inf. Sci. 571: 475-498 (2021)
[j209]
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Zhong Yuan, Hongmei Chen, Tianrui Li, Zeng Yu, Binbin Sang, Chuan Luo:
Unsupervised attribute reduction for mixed data based on fuzzy rough sets. Inf. Sci. 572: 67-87 (2021)
[j208]
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Ji Xu, Tianrui Li, Yongming Wu, Guoyin Wang:
LaPOLeaF: Label propagation in an optimal leading forest. Inf. Sci. 575: 133-154 (2021)
[j207]
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Jun Liu, Tianrui Li, Javier Montero:
Special issue on hybrid data and knowledge driven decision making under uncertainty (Hybrid DK for DM). Inf. Sci. 577: 899-901 (2021)
[j206]
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Jihong Wan, Hongmei Chen, Tianrui Li, Xiaoling Yang, Binbin Sang:
Dynamic interaction feature selection based on fuzzy rough set. Inf. Sci. 581: 891-911 (2021)
[j205]
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  - journals/kbs/SangCYZLX21
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Binbin Sang, Hongmei Chen, Lei Yang, Dapeng Zhou, Tianrui Li, Weihua Xu:
Incremental attribute reduction approaches for ordered data with time-evolving objects. Knowl. Based Syst. 212: 106583 (2021)
[j204]
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  - journals/kbs/ChangHLWP21
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Shuai Chang, Jie Hu, Tianrui Li, Hao Wang, Bo Peng:
Multi-view clustering via deep concept factorization. Knowl. Based Syst. 217: 106807 (2021)
[j203]
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Ping Cai, Xingyuan Chen, Peng Jin, Hongjun Wang, Tianrui Li:
Distributional discrepancy: A metric for unconditional text generation. Knowl. Based Syst. 217: 106850 (2021)
[j202]
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Xiaoling Yang, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang:
Neighborhood rough sets with distance metric learning for feature selection. Knowl. Based Syst. 224: 107076 (2021)
[j201]
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Ping Deng, Tianrui Li, Hongjun Wang, Shi-Jinn Horng, Zeng Yu, Xiaomin Wang:
Tri-regularized nonnegative matrix tri-factorization for co-clustering. Knowl. Based Syst. 226: 107101 (2021)
[j200]
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Yanyong Huang, Zongxin Shen, Fuxu Cai, Tianrui Li, Fengmao Lv:
Adaptive graph-based generalized regression model for unsupervised feature selection. Knowl. Based Syst. 227: 107156 (2021)
[j199]
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Jihong Wan, Hongmei Chen, Zhong Yuan, Tianrui Li, Xiaoling Yang, Binbin Sang:
A novel hybrid feature selection method considering feature interaction in neighborhood rough set. Knowl. Based Syst. 227: 107167 (2021)
[j198]
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Binbin Sang, Hongmei Chen, Lei Yang, Tianrui Li, Weihua Xu, Chuan Luo:
Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set. Knowl. Based Syst. 227: 107223 (2021)
[j197]
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Zhong Yuan, Hongmei Chen, Xiaoling Yang, Tianrui Li, Keyu Liu:
Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction. Knowl. Based Syst. 231: 107398 (2021)
[j196]
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Xiaobo Zhang, Yan Yang, Donghai Zhai, Tianrui Li, Jielei Chu, Hao Wang:
Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint. Knowl. Based Syst. 231: 107439 (2021)
[j195]
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Wenlu Yang, Yinghui Zhang, Hongjun Wang, Ping Deng, Tianrui Li:
Hybrid genetic model for clustering ensemble. Knowl. Based Syst. 231: 107457 (2021)
[j194]
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Fang Liu, Tianrui Li, Ju Wu, Yi Liu:
Modification of the BWM and MABAC method for MAGDM based on q-rung orthopair fuzzy rough numbers. Int. J. Mach. Learn. Cybern. 12(9): 2693-2715 (2021)
[j193]
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Wei Quan, Tianrui Li, Ning Zhou, Dong Zou, Weihua Zhang, Jim X. Chen:
Visual tracking with multilayer filter fusion network. Multim. Tools Appl. 80(4): 6493-6506 (2021)
[j192]
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Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng:
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. IEEE Trans. Knowl. Data Eng. 33(6): 2412-2424 (2021)
[c126]
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Chensu Wang, Luqing Wang, Hongjun Wang, Bo Peng, Tianrui Li:
Locally Linear Embedding Discriminant Feature Learning Model. ChineseCSCW (2) 2021: 3-14
[c125]
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Huajun He, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng:
JUST-Traj: A Distributed and Holistic Trajectory Data Management System. SIGSPATIAL/GIS 2021: 403-406
[c124]
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  - conf/iske/WuC0CL21
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Xinping Wu, Hongmei Chen, Tianrui Li, Hao Chen, Chuan Luo:
Semi-supervised Multi-Label Feature Selection Using Hessian Energy based on Maximum Relevance and Minimum Redundancy. ISKE 2021: 242-248
[c123]
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Qiyuan Hu, Yang Gao, Zhiguo Long, Hongjun Wang, Tianrui Li, Michael Sioutis:
On Large-Scale Qualitative Spatio-Temporal Constraint Redundancy Removal. ISKE 2021: 398-405
[c122]
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Jian Zheng, Chuan Luo, Tianrui Li, Hongmei Chen:
Hierarchical Feature Selection via Large Margin Nearest Neighbor. ISKE 2021: 530-535
[c121]
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Chuanwei Li, Hongmei Chen, Tianrui Li:
An Overlapping Community Detection Algorithm based on Density Peaks and Label Propagation. ISKE 2021: 561-564
[c120]
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Qian Cao, Chuan Luo, Tianrui Li, Hongmei Chen:
Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data. IJCRS 2021: 203-217
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Shuwei Chen, Jie Hu, Tianrui Li, Luis Martínez, Jun Liu:
16th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2021, Chengdu, China, November 26-28, 2021. IEEE 2021, ISBN 978-1-6654-0553-9 [contents]
[i26]
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  - journals/corr/abs-2104-08860
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Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li:
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. CoRR abs/2104.08860 (2021)
[i25]
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  - journals/corr/abs-2112-01368
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Huaishao Luo, Lei Ji, Yanyong Huang, Bin Wang, Shenggong Ji, Tianrui Li:
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors. CoRR abs/2112.01368 (2021)
[i24]
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  - journals/corr/abs-2112-07227
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Weiyi Li, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang:
Unsupervised feature selection via self-paced learning and low-redundant regularization. CoRR abs/2112.07227 (2021)
2020
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Yunfei Feng, Hongmei Chen, Tianrui Li, Chuan Luo:
A novel community detection method based on whale optimization algorithm with evolutionary population. Appl. Intell. 50(8): 2503-2522 (2020)
[j190]
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  - journals/asc/WangMJLZ20
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Zhaoyuan Wang, Chuishi Meng, Shenggong Ji, Tianrui Li, Yu Zheng:
Food package suggestion system based on multi-objective optimization: A case study on a real-world restaurant. Appl. Soft Comput. 93: 106369 (2020)
[j189]
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Dun Liu, Tianrui Li, Decui Liang:
An integrated approach towards modeling ranked weights. Comput. Ind. Eng. 147: 106629 (2020)
[j188]
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  - journals/cgf/GongLLL20
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Xun Gong, Xin Li, Tianrui Li, Yongqing Liang:
A Discriminative Multi-Channel Facial Shape (MCFS) Representation and Feature Extraction for 3D Human Faces. Comput. Graph. Forum 39(6): 66-81 (2020)
[j187]
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Chao Guo, Yan Yang, Yongquan Jiang, Tianrui Li:
Condition Analysis of a High-Speed Train Based on Similarity Ratio and MDBN. Comput. Sci. Eng. 22(1): 64-76 (2020)
[j186]
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Shanwen Yang, Tianrui Li, Xun Gong, Bo Peng, Jie Hu:
A review on crowd simulation and modeling. Graph. Model. 111: 101081 (2020)
[j185]
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Kamal Bashir, Tianrui Li, Mahama Yahaya:
A novel feature selection method based on maximum likelihood logistic regression for imbalanced learning in software defect prediction. Int. Arab J. Inf. Technol. 17(5): 721-730 (2020)
[j184]
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Dong Wang, Hongmei Chen, Tianrui Li, Jihong Wan, Yanyong Huang:
A novel quantum grasshopper optimization algorithm for feature selection. Int. J. Approx. Reason. 127: 33-53 (2020)
[j183]
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Shengdong Du, Tianrui Li, Xun Gong, Shi-Jinn Horng:
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. Int. J. Comput. Intell. Syst. 13(1): 85-97 (2020)
[j182]
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Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng:
Multivariate time series forecasting via attention-based encoder-decoder framework. Neurocomputing 388: 269-279 (2020)
[j181]
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Bin Wang, Tianrui Li, Zheng Yan, Guangquan Zhang, Jie Lu:
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. Neurocomputing 397: 11-19 (2020)
[j180]
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  - journals/inffus/LiuLXDTY20
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Jia Liu, Tianrui Li, Peng Xie, Shengdong Du, Fei Teng, Xin Yang:
Urban big data fusion based on deep learning: An overview. Inf. Fusion 53: 123-133 (2020)
[j179]
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Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang:
Urban flow prediction from spatiotemporal data using machine learning: A survey. Inf. Fusion 59: 1-12 (2020)
[j178]
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Zhaoyuan Wang, Junbo Zhang, Shenggong Ji, Chuishi Meng, Tianrui Li, Yu Zheng:
Predicting and ranking box office revenue of movies based on big data. Inf. Fusion 60: 25-40 (2020)
[j177]
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  - journals/isci/WangLL0FH20
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Shu Wang, Tianrui Li, Chuan Luo, Jie Hu, Hamido Fujita, Tianqiang Huang:
A novel approach for efficient updating approximations in dynamic ordered information systems. Inf. Sci. 507: 197-219 (2020)
[j176]
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Yanyong Huang, Tianrui Li, Chuan Luo, Hamido Fujita, Shi-Jinn Horng, Bin Wang:
Dynamic maintenance of rough approximations in multi-source hybrid information systems. Inf. Sci. 530: 108-127 (2020)
[j175]
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  - journals/isci/YangLLF20
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Xin Yang, Tianrui Li, Dun Liu, Hamido Fujita:
A multilevel neighborhood sequential decision approach of three-way granular computing. Inf. Sci. 538: 119-141 (2020)
[j174]
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Xin Yang, Yingying Zhang, Hamido Fujita, Dun Liu, Tianrui Li:
Local temporal-spatial multi-granularity learning for sequential three-way granular computing. Inf. Sci. 541: 75-97 (2020)
[j173]
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Qianqian Huang, Tianrui Li, Yanyong Huang, Xin Yang:
Incremental three-way neighborhood approach for dynamic incomplete hybrid data. Inf. Sci. 541: 98-122 (2020)
[j172]
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Binbin Sang, Hongmei Chen, Tianrui Li, Weihua Xu, Hong Yu:
Incremental approaches for heterogeneous feature selection in dynamic ordered data. Inf. Sci. 541: 475-501 (2020)
[j171]
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  - journals/jifs/BashirLYM20
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Kamal Bashir, Tianrui Li, Chubato Wondaferaw Yohannese, Mahama Yahaya:
SMOTEFRIS-INFFC: Handling the challenge of borderline and noisy examples in imbalanced learning for software defect prediction. J. Intell. Fuzzy Syst. 38(1): 917-933 (2020)
[j170]
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  - journals/kbs/HuangLHYF20
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Qianqian Huang, Tianrui Li, Yanyong Huang, Xin Yang, Hamido Fujita:
Dynamic dominance rough set approach for processing composite ordered data. Knowl. Based Syst. 187 (2020)
[j169]
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  - journals/kbs/LongMLL20
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Zhiguo Long, Hua Meng, Tianrui Li, Sanjiang Li:
Compact geometric representation of qualitative directional knowledge. Knowl. Based Syst. 195: 105616 (2020)
[j168]
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Shenggong Ji, Zhaoyuan Wang, Tianrui Li, Yu Zheng:
Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning. Knowl. Based Syst. 205: 106302 (2020)
[j167]
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  - journals/mlc/LiuYL20
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Dun Liu, Xin Yang, Tianrui Li:
Three-way decisions: beyond rough sets and granular computing. Int. J. Mach. Learn. Cybern. 11(5): 989-1002 (2020)
[j166]
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Shenggong Ji, Yu Zheng, Wenjun Wang, Tianrui Li:
Real-Time Ambulance Redeployment: A Data-Driven Approach. IEEE Trans. Knowl. Data Eng. 32(11): 2213-2226 (2020)
[c119]
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  - conf/cikm/YangYCRZZL20
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Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li:
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users. CIKM 2020: 2885-2892
[c118]
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Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li:
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification. COLING 2020: 580-591
[c117]
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Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 54-64
[c116]
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Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li:
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. AACL/IJCNLP 2020: 687-695
[i23]
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  - journals/corr/abs-2002-06353
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Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, Ming Zhou:
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation. CoRR abs/2002.06353 (2020)
[i22]
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  - journals/corr/abs-2003-06321
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Jielei Chu, Jing Liu, Hongjun Wang, Zhiguo Gong, Tianrui Li:
Minor Constraint Disturbances for Deep Semi-supervised Learning. CoRR abs/2003.06321 (2020)
[i21]
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  - journals/corr/abs-2004-06653
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Huajun He, Ruiyuan Li, Rubin Wang, Jie Bao, Yu Zheng, Tianrui Li:
Efficient Suspected Infected Crowds Detection Based on Spatio-Temporal Trajectories. CoRR abs/2004.06653 (2020)
[i20]
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Ping Cai, Xingyuan Chen, Peng Jin, Hongjun Wang, Tianrui Li:
Distributional Discrepancy: A Metric for Unconditional Text Generation. CoRR abs/2005.01282 (2020)
[i19]
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  - journals/corr/abs-2007-06794
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Huaishao Luo, Chuishi Meng, Bowen Wu, Junbo Zhang, Tianrui Li, Yu Zheng:
ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition. CoRR abs/2007.06794 (2020)
[i18]
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  - journals/corr/abs-2009-10557
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Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, Daxin Jiang:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. CoRR abs/2009.10557 (2020)
[i17]
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Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li:
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. CoRR abs/2009.14348 (2020)
[i16]
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  - journals/corr/abs-2012-10069
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Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang:
Fairness and Accuracy in Federated Learning. CoRR abs/2012.10069 (2020)
[i15]
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Yanyong Huang, Zongxin Shen, Fuxu Cai, Tianrui Li, Fengmao Lv:
Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection. CoRR abs/2012.13892 (2020)

2010 – 2019

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2019
[j165]
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Haiqing Zhang, Daiwei Li, Tao Wang, Tianrui Li, Xi Yu, Abdelaziz Bouras:
Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification. Comput. Sci. Eng. 21(6): 26-39 (2019)
[j164]
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Xin Yang, Tianrui Li, Hamido Fujita, Dun Liu:
A sequential three-way approach to multi-class decision. Int. J. Approx. Reason. 104: 108-125 (2019)
[j163]
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  - https://dblp.org/rec/journals/ijcisys/SimfukwePL18
Macmillan Simfukwe, Bo Peng, Tianrui Li:
Fusion of Measures for Image Segmentation Evaluation. Int. J. Comput. Intell. Syst. 12(1): 379-386 (2019)
[j162]
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Yun Li, Tianrui Li, Javier Montero:
Computational Intelligence for Emerging Systems and Applications. Int. J. Comput. Intell. Syst. 12(2): 474-475 (2019)
[j161]
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Ahmed Saad Hussein, Tianrui Li, Chubato Wondaferaw Yohannese, Kamal Bashir:
A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE. Int. J. Comput. Intell. Syst. 12(2): 1412-1422 (2019)
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Vinath Mekthanavanh, Tianrui Li, Jie Hu, Yan Yang:
Social web video clustering based on multi-modal and clustering ensemble. Neurocomputing 366: 234-247 (2019)
[j159]
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Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li:
A Deep Reinforcement Learning-Enabled Dynamic Redeployment System for Mobile Ambulances. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 15:1-15:20 (2019)
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Chuan Luo, Tianrui Li, Yanyong Huang, Hamido Fujita:
Updating three-way decisions in incomplete multi-scale information systems. Inf. Sci. 476: 274-289 (2019)
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Shu Wang, Tianrui Li, Chuan Luo, Hongmei Chen, Hamido Fujita:
Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems. Inf. Sci. 478: 100-124 (2019)
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Hongjun Wang, Yinghui Zhang, Ji Zhang, Tianrui Li, Lingxi Peng:
A factor graph model for unsupervised feature selection. Inf. Sci. 480: 144-159 (2019)
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Ping Deng, Hongjun Wang, Tianrui Li, Shi-Jinn Horng, Xinwen Zhu:
Linear discriminant analysis guided by unsupervised ensemble learning. Inf. Sci. 480: 211-221 (2019)
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Hongmei Chen, Tianrui Li, Xin Fan, Chuan Luo:
Feature selection for imbalanced data based on neighborhood rough sets. Inf. Sci. 483: 1-20 (2019)
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Xin Yang, Tianrui Li, Dun Liu, Hamido Fujita:
A temporal-spatial composite sequential approach of three-way granular computing. Inf. Sci. 486: 171-189 (2019)
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Shengjiu Liu, Tianrui Li, Xiaowei Liu:
网络维数: 一种度量复杂网络的新方法 (Network Dimension: A New Measure for Complex Networks). 计算机科学 46(1): 51-56 (2019)
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Lixia Zhu, Tianrui Li, Fei Teng, Bo Peng:
基于区间分类的螺旋图可视化边绑定方法 (Edge Bundling Method of Spiral Graph Based on Interval Classification). 计算机科学 46(1): 107-111 (2019)
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Xiaoqun Yi, Tianrui Li, Chao Chen:
面向评论文本数据的旭日图可视化 (Sunburst Visualization for Comment Text Data). 计算机科学 46(10): 14-18 (2019)
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Wenting Ye, Hongjun Wang, Shan Yan, Tianrui Li, Yan Yang:
Nonnegative matrix factorization for clustering ensemble based on dark knowledge. Knowl. Based Syst. 163: 624-631 (2019)
[j148]
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Zhang Yi, Yan Yang, Tianrui Li, Hamido Fujita:
A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE. Knowl. Based Syst. 163: 776-786 (2019)
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Shudong Huang, Peng Zhao, Yazhou Ren, Tianrui Li, Zenglin Xu:
Self-paced and soft-weighted nonnegative matrix factorization for data representation. Knowl. Based Syst. 164: 29-37 (2019)
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Shaoyong Li, Zhiyong Hong, Tianrui Li:
Efficient composing rough approximations for distributed data. Knowl. Based Syst. 182 (2019)
[j145]
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Ji Zhang, Hongjun Wang, Jielei Chu, Shudong Huang, Tianrui Li, Qigang Zhao:
Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations. Knowl. Based Syst. 185 (2019)
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Vinath Mekthanavanh, Tianrui Li, Hua Meng, Yan Yang, Jie Hu:
Social web video clustering based on multi-view clustering via nonnegative matrix factorization. Int. J. Mach. Learn. Cybern. 10(10): 2779-2790 (2019)
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Ahmed Saad Hussein, Tianrui Li, Chubato Wondaferaw Yohannese, Kamal Bashir:
A Novel Hybrid Approach Based on Rough Set for Classification: An Empirical Comparative Study. J. Multiple Valued Log. Soft Comput. 33(4-5): 363-380 (2019)
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Yali Dong, Liangliang Guo, Jing Hao, Tianrui Li:
Robust Exponential Stabilization for Switched Neutral Neural Networks with Mixed Time-Varying Delays. Neural Process. Lett. 50(2): 1381-1400 (2019)
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Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation. IEEE ACM Trans. Audio Speech Lang. Process. 27(7): 1201-1212 (2019)
[j140]
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Collins Census, Hongjun Wang, Ji Zhang, Ping Deng, Tianrui Li:
Particle Subswarms Collaborative Clustering. IEEE Trans. Comput. Soc. Syst. 6(6): 1165-1179 (2019)
[j139]
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Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, Tianrui Li:
Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints. IEEE Trans. Cybern. 49(12): 4321-4334 (2019)
[j138]
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Ping-Juei Liu, Shi-Jinn Horng, Jzau-Sheng Lin, Tianrui Li:
Contrast in Haze Removal: Configurable Contrast Enhancement Model Based on Dark Channel Prior. IEEE Trans. Image Process. 28(5): 2212-2227 (2019)
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Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu:
Reconstruction of Hidden Representation for Robust Feature Extraction. ACM Trans. Intell. Syst. Technol. 10(2): 18:1-18:24 (2019)
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Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL (1) 2019: 591-601
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Jie Hu, Yi Pan, Tianrui Li, Yan Yang:
TW-Co-MFC: Two-Level Weighted Collaborative Multi-view Fuzzy Clustering Based on Maximum Entropy. CBD 2019: 303-308
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Xiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng:
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach. CIKM 2019: 2665-2671
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Chuan Luo, Tianrui Li, Zhang Yi:
An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data. DASC/PiCom/DataCom/CyberSciTech 2019: 483-488
[c111]
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Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. EMNLP/IJCNLP (1) 2019: 6285-6291
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Shengdong Du, Tianrui Li, Yan Yang, Xun Gong, Shi-Jinn Horng:
An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction. IJCNN 2019: 1-8
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Ziping Gao, Bo Peng, Tianrui Li, Cong Gou:
Generative Adversarial Networks for Road Crack Image Segmentation. IJCNN 2019: 1-8
[c108]
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Lei Zhu, Tianrui Li, Shengdong Du:
TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction. IJCNN 2019: 1-8
[c107]
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Qianqian Huang, Tianrui Li, Xin Yang, Jie Hu:
Dynamical Information Fusion of Multisource Incomplete Hybrid Information Systems Based on Conditional Entropy. ISKE 2019: 1-8
[c106]
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Daiwei Li, Tianrui Li, Haiqing Zhang, Abdelaziz Bouras, Xi Yu, Dan Tang:
A Fitted Fuzzy-rough Method for Missing Data Imputation. ISKE 2019: 74-81
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Chao Wang, Bo Peng, Xun Gong, Zeng Yu, Tianrui Li:
Evaluating Segmentation Quality via Reference Segmentations in Tree-like Structure. ISKE 2019: 102-109
[c104]
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Jie Hu, Tianrui Li, Yan Yang, Peng Xie, Xueli Xiao:
RFMC: A Rough Fuzzy Multi-view Clustering Approach. ISKE 2019: 142-147
[c103]
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Ziping Gao, Bo Peng, Tianrui Li:
Text Detection by Fusing Text Edge Semantics in Arbitrary Shapes. ISKE 2019: 463-469
[c102]
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Fei Teng, Meng Bai, Tianrui Li:
Automatic Labeling for Gene-Disease Associations through Distant Supervision. ISKE 2019: 491-497
[c101]
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Zeng Yu, Tianrui Li, Ning Yu, Xun Gong:
Three-Stream Convolutional Networks for Video-based Person Re-Identification. ISKE 2019: 598-606
[c100]
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Guoqiang Wang, Tianrui Li, Qianqian Huang, Xin Yang:
A Hash Method for Calculating Rough Set Approximations. ISKE 2019: 669-674
[c99]
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Shengjiu Liu, Tianrui Li, Jie Zhu, Guoqiang Wang, Jia Liu, Peng Xie:
Network Energy: A New Energy of A Graph. ISKE 2019: 785-789
[c98]
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Xiaojun Ma, Bo Peng, Xun Gong, Zeng Yu, Tianrui Li:
Hierarchical Region Merging for Multi-scale Image Segmentation. ISKE 2019: 940-947
[c97]
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Cong Gou, Bo Peng, Tianrui Li, Ziping Gao:
Pavement Crack Detection Based on the Improved Faster-RCNN. ISKE 2019: 962-967
[c96]
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Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Qianqian Huang:
Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization. ISKE 2019: 1159-1165
[c95]
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Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Chunyan Ji:
Concept-Enhanced Multi-view Clustering of Document Data. ISKE 2019: 1258-1264
[c94]
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Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang:
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. KDD 2019: 2087-2095
[c93]
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Qiufeng Wang, Minghuan Liu, Weijia Zhang, Yuhang Guo, Tianrui Li:
Automatic Proofreading in Chinese: Detect and Correct Spelling Errors in Character-Level with Deep Neural Networks. NLPCC (2) 2019: 349-359
[c92]
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Xiaobo Zhang, Yan Yang, Tianrui Li, Hao Wang, Ziqing He:
Discovering Senile Dementia from Brain MRI Using Ra-DenseNet. PAKDD (3) 2019: 449-460
[c91]
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Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li:
Alleviating Users' Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services. WWW 2019: 773-783
[i14]
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Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. CoRR abs/1906.01794 (2019)
[i13]
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Jielei Chu, Hongjun Wang, Jing Liu, Zeng Yu, Tianrui Li:
DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering. CoRR abs/1906.05173 (2019)
[i12]
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  - journals/corr/abs-1908-10218
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Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang:
Urban flows prediction from spatial-temporal data using machine learning: A survey. CoRR abs/1908.10218 (2019)
[i11]
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  - journals/corr/abs-1909-00124
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Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR abs/1909.00124 (2019)
2018
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Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li:
Predicting citywide crowd flows using deep spatio-temporal residual networks. Artif. Intell. 259: 147-166 (2018)
[j135]
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Shudong Huang, Hongjun Wang, Tao Li, Tianrui Li, Zenglin Xu:
Robust graph regularized nonnegative matrix factorization for clustering. Data Min. Knowl. Discov. 32(2): 483-503 (2018)
[j134]
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Xueqiong Li, Zhi-Tao Huang, Fenghua Wang, Xiang Wang, Tianrui Li:
Toward Convolutional Neural Networks on Pulse Repetition Interval Modulation Recognition. IEEE Commun. Lett. 22(11): 2286-2289 (2018)
[j133]
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Chubato Wondaferaw Yohannese, Tianrui Li, Kamal Bashir:
A Three-Stage Based Ensemble Learning for Improved Software Fault Prediction: An Empirical Comparative Study. Int. J. Comput. Intell. Syst. 11(1): 1229-1247 (2018)
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Kamal Bashir, Tianrui Li, Chubato Wondaferaw Yohannese:
An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework. Int. J. Comput. Intell. Syst. 12(1): 282-298 (2018)
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Chuan Luo, Tianrui Li, Hongmei Chen, Hamido Fujita, Zhang Yi:
Incremental rough set approach for hierarchical multicriteria classification. Inf. Sci. 429: 72-87 (2018)
[j130]
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Zeng Yu, Tianrui Li, Guangchun Luo, Hamido Fujita, Ning Yu, Yi Pan:
Convolutional networks with cross-layer neurons for image recognition. Inf. Sci. 433-434: 241-254 (2018)
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Yunge Jing, Tianrui Li, Hamido Fujita, Baoli Wang, Ni Cheng:
An incremental attribute reduction method for dynamic data mining. Inf. Sci. 465: 202-218 (2018)
[j128]
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Haiqing Zhang, Daiwei Li, Tao Wang, Tianrui Li, Xi Yu, Abdelaziz Bouras:
Hesitant extension of fuzzy-rough set to address uncertainty in classification. J. Intell. Fuzzy Syst. 34(4): 2535-2550 (2018)
[j127]
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Xin Yang, Tianrui Li, Dun Liu, Yu Fang, Ning Wang:
基于决策粗糙集的广义序贯三支决策方法 (Generalized Sequential Three-way Decisions Approach Based on Decision-theoretic Rough Sets). 计算机科学 45(10): 1-5 (2018)
[j126]
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Bo Peng, Macmillan Simfukwe, Tianrui Li:
Region-based image segmentation evaluation via perceptual pooling strategies. Mach. Vis. Appl. 29(3): 477-488 (2018)
[j125]
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Muqeet Ahmad, Tianrui Li, Zahid Khan, Faisal Khurshid, Mushtaq Ahmad:
A Novel Connectivity-Based LEACH-MEEC Routing Protocol for Mobile Wireless Sensor Network. Sensors 18(12): 4278 (2018)
[j124]
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Yan Yang, Fei Teng, Tianrui Li, Hao Wang, Hongjun Wang, Qi Zhang:
Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology. IEEE Trans. Cloud Comput. 6(3): 857-867 (2018)
[j123]
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Ji Xu, Guoyin Wang, Tianrui Li, Witold Pedrycz:
Local-Density-Based Optimal Granulation and Manifold Information Granule Description. IEEE Trans. Cybern. 48(10): 2795-2808 (2018)
[j122]
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Yanyong Huang, Tianrui Li, Chuan Luo, Hamido Fujita, Shi-Jinn Horng:
Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation. IEEE Trans. Fuzzy Syst. 26(6): 3403-3417 (2018)
[c90]
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  - conf/bdet/Mekthanavanh00018
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Vinath Mekthanavanh, Tianrui Li, Jie Hu, Yan Yang:
Web Video Clustering Based on Emotion Category. BDET 2018: 87-91
[c89]
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Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li:
Deep Multi-task Learning for Air Quality Prediction. ICONIP (5) 2018: 93-103
[c88]
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Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li:
Explore Uncertainty in Residual Networks for Crowds Flow Prediction. IJCNN 2018: 1-7
[c87]
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Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng:
Deep Distributed Fusion Network for Air Quality Prediction. KDD 2018: 965-973
[c86]
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Shengdong Du, Tianrui Li, Shi-Jinn Horng:
Time Series Forecasting Using Sequence-to-Sequence Deep Learning Framework. PAAP 2018: 171-176
[c85]
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Xin Yang, Ning Wang, Tianrui Li, Dun Liu, Chuan Luo:
Composite Sequential Three-Way Decisions. IJCSR 2018: 177-186
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Hung Son Nguyen, Quang-Thuy Ha, Tianrui Li, Malgorzata Przybyla-Kasperek:
Rough Sets - International Joint Conference, IJCRS 2018, Quy Nhon, Vietnam, August 20-24, 2018, Proceedings. Lecture Notes in Computer Science 11103, Springer 2018, ISBN 978-3-319-99367-6 [contents]
[i10]
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Shengdong Du, Tianrui Li, Xun Gong, Zeng Yu, Shi-Jinn Horng:
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. CoRR abs/1803.02099 (2018)
[i9]
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Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation. CoRR abs/1805.07889 (2018)
[i8]
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Jielei Chu, Tianrui Li, Hongjun Wang, Jing Liu, Hua Meng:
Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering. CoRR abs/1812.01967 (2018)
[i7]
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  - journals/corr/abs-1812-04783
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Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng:
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. CoRR abs/1812.04783 (2018)
[i6]
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Bin Wang, Zheng Yan, Huaishao Luo, Tianrui Li, Jie Lu, Guangquan Zhang:
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting. CoRR abs/1812.09467 (2018)
2017
[j121]
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Yu-Chien Ko, Hamido Fujita, Tianrui Li:
An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies. Appl. Soft Comput. 52: 748-759 (2017)
[j120]
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Huanlai Xing, Zhaoyuan Wang, Tianrui Li, Hui Li, Rong Qu:
An improved MOEA/D algorithm for multi-objective multicast routing with network coding. Appl. Soft Comput. 59: 88-103 (2017)
[j119]
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Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita, Shaoyong Li:
Incremental fuzzy probabilistic rough sets over two universes. Int. J. Approx. Reason. 81: 28-48 (2017)
[j118]
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Chubato Wondaferaw Yohannese, Tianrui Li:
A Combined-Learning Based Framework for Improved Software Fault Prediction. Int. J. Comput. Intell. Syst. 10(1): 647-662 (2017)
[j117]
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Yunge Jing, Tianrui Li, Junfu Huang, Hongmei Chen, Shi-Jinn Horng:
A Group Incremental Reduction Algorithm with Varying Data Values. Int. J. Intell. Syst. 32(9): 900-925 (2017)
[j116]
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Anping Zeng, Tianrui Li, Jie Hu, Hongmei Chen, Chuan Luo:
Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values. Inf. Sci. 378: 363-388 (2017)
[j115]
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Yunge Jing, Tianrui Li, Hamido Fujita, Zeng Yu, Bin Wang:
An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view. Inf. Sci. 411: 23-38 (2017)
[j114]
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Chuan Luo, Tianrui Li, Yiyu Yao:
Dynamic probabilistic rough sets with incomplete data. Inf. Sci. 417: 39-54 (2017)
[j113]
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Xin Yang, Tianrui Li, Dun Liu, Hongmei Chen, Chuan Luo:
A unified framework of dynamic three-way probabilistic rough sets. Inf. Sci. 420: 126-147 (2017)
[j112]
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  - journals/ivc/QuanLGC17
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Wei Quan, Tianrui Li, Shibin Gao, Jim X. Chen:
Visual tracking with multiple Hough detectors. Image Vis. Comput. 66: 15-25 (2017)
[j111]
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Yali Dong, Wanjun Liu, Tianrui Li, Shuang Liang:
Finite-time boundedness analysis and H∞ control for switched neutral systems with mixed time-varying delays. J. Frankl. Inst. 354(2): 787-811 (2017)
[j110]
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Ning Yu, Zeng Yu, Feng Gu, Tianrui Li, Xinmin Tian, Yi Pan:
Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches. J. Inf. Process. Syst. 13(2): 204-214 (2017)
[j109]
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Yanyong Huang, Tianrui Li, Chuan Luo, Hamido Fujita, Shi-Jinn Horng:
Matrix-based dynamic updating rough fuzzy approximations for data mining. Knowl. Based Syst. 119: 273-283 (2017)
[j108]
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Ji Xu, Guoyin Wang, Tianrui Li, Weihui Deng, Guanglei Gou:
Fat node leading tree for data stream clustering with density peaks. Knowl. Based Syst. 120: 99-117 (2017)
[j107]
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Yanyong Huang, Tianrui Li, Chuan Luo, Hamido Fujita, Shi-Jinn Horng:
Dynamic variable precision rough set approach for probabilistic set-valued information systems. Knowl. Based Syst. 122: 131-147 (2017)
[j106]
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Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita, Yan Yang:
Incremental fuzzy cluster ensemble learning based on rough set theory. Knowl. Based Syst. 132: 144-155 (2017)
[j105]
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Xin Yang, Tianrui Li, Hamido Fujita, Dun Liu, Yiyu Yao:
A unified model of sequential three-way decisions and multilevel incremental processing. Knowl. Based Syst. 134: 172-188 (2017)
[j104]
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Fei Teng, Lei Yu, Tianrui Li, Danting Deng, Frédéric Magoulès:
Energy efficiency of VM consolidation in IaaS clouds. J. Supercomput. 73(2): 782-809 (2017)
[j103]
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Shiang-Feng Tzeng, Shi-Jinn Horng, Tianrui Li, Xian Wang, Po-Hsian Huang, Muhammad Khurram Khan:
Enhancing Security and Privacy for Identity-Based Batch Verification Scheme in VANETs. IEEE Trans. Veh. Technol. 66(4): 3235-3248 (2017)
[c84]
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  - conf/iske/BashirLYM17
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Kamal Bashir, Tianrui Li, Chubato Wondaferaw Yohannese, Mahama Yahaya:
Enhancing software defect prediction using supervised-learning based framework. ISKE 2017: 1-6
[c83]
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Shengdong Du, Tianrui Li, Xun Gong, Yan Yang, Shi-Jinn Horng:
Traffic flow forecasting based on hybrid deep learning framework. ISKE 2017: 1-6
[c82]
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  - conf/iske/SimfukwePL17
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Macmillan Simfukwe, Bo Peng, Tianrui Li:
H2: Fusion of HOG and Harris features for image segmentation evaluation. ISKE 2017: 1-6
[c81]
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Fei Teng, Rong Tang, Tianrui Li:
Ego-clustering based propagation prediction of time series in social networks. ISKE 2017: 1-8
[c80]
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Bin Wang, Tianrui Li, Yanyong Huang, Huaishao Luo, Dongming Guo, Shi-Jinn Horng:
Diverse activation functions in deep learning. ISKE 2017: 1-6
[c79]
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Chubato Wondaferaw Yohannese, Tianrui Li, Macmillan Simfukwe, Faisal Khurshid:
Ensembles based combined learning for improved software fault prediction: A comparative study. ISKE 2017: 1-6
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Tianrui Li, Luis Martínez-López, Yun Li:
12th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2017, Nanjing, China, November 24-26, 2017. IEEE 2017, ISBN 978-1-5386-1829-5 [contents]
[i5]
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Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li:
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks. CoRR abs/1701.02543 (2017)
[i4]
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Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, Tianrui Li:
Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints. CoRR abs/1701.03647 (2017)
[i3]
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  - journals/corr/abs-1710-02844
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Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu:
Reconstruction of Hidden Representation for Robust Feature Extraction. CoRR abs/1710.02844 (2017)
[i2]
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Zeng Yu, Tianrui Li, Ning Yu, Xun Gong, Ke Chen, Yi Pan:
Three-Stream Convolutional Networks for Video-based Person Re-Identification. CoRR abs/1712.01652 (2017)
2016
[j102]
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Tianrui Li, Da Ruan, Yongjun Shen, Elke Hermans, Geert Wets:
A New Weighting Approach Based on Rough Set Theory and Granular Computing for Road Safety Indicator Analysis. Comput. Intell. 32(4): 517-534 (2016)
[j101]
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Yunge Jing, Tianrui Li, Junfu Huang, Yingying Zhang:
An incremental attribute reduction approach based on knowledge granularity under the attribute generalization. Int. J. Approx. Reason. 76: 80-95 (2016)
[j100]
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Jun Luo, Hongjun Wang, Xun Gong, Tianrui Li:
A Novel Role-based Access Control Model in Cloud Environments. Int. J. Comput. Intell. Syst. 9(1): 1-9 (2016)
[j99]
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Wenchao Xiao, Yan Yang, Hongjun Wang, Tianrui Li, Huanlai Xing:
Semi-supervised hierarchical clustering ensemble and its application. Neurocomputing 173: 1362-1376 (2016)
[j98]
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Junbo Zhang, Yun Zhu, Yi Pan, Tianrui Li:
Efficient parallel boolean matrix based algorithms for computing composite rough set approximations. Inf. Sci. 329: 287-302 (2016)
[j97]
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Shu Wang, Tianrui Li, Chuan Luo, Hamido Fujita:
Efficient updating rough approximations with multi-dimensional variation of ordered data. Inf. Sci. 372: 690-708 (2016)
[j96]
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Hongmei Chen, Tianrui Li, Yong Cai, Chuan Luo, Hamido Fujita:
Parallel attribute reduction in dominance-based neighborhood rough set. Inf. Sci. 373: 351-368 (2016)
[j95]
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Yingying Zhang, Tianrui Li, Chuan Luo, Junbo Zhang, Hongmei Chen:
Incremental updating of rough approximations in interval-valued information systems under attribute generalization. Inf. Sci. 373: 461-475 (2016)
[j94]
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Fang Liu, Tianrui Li:
基于边界域的不完备信息系统属性约简方法 (Method for Attribute Reduction Based on Rough Sets Boundary Regions). 计算机科学 43(3): 242-245 (2016)
[j93]
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Fang Liu, Tianrui Li:
一种基于概率粗糙集的属性约简加速算法 (Accelerated Attribute Reduction Algorithm Based on Probabilistic Rough Sets). 计算机科学 43(12): 63-70 (2016)
[j92]
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Hamido Fujita, Tianrui Li, Yiyu Yao:
Advances in three-way decisions and granular computing. Knowl. Based Syst. 91: 1-3 (2016)
[j91]
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Jie Hu, Tianrui Li, Hongjun Wang, Hamido Fujita:
Hierarchical cluster ensemble model based on knowledge granulation. Knowl. Based Syst. 91: 179-188 (2016)
[j90]
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Chuan Luo, Tianrui Li, Zhang Yi, Hamido Fujita:
Matrix approach to decision-theoretic rough sets for evolving data. Knowl. Based Syst. 99: 123-134 (2016)
[j89]
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Yunge Jing, Tianrui Li, Chuan Luo, Shi-Jinn Horng, Guoyin Wang, Zeng Yu:
An incremental approach for attribute reduction based on knowledge granularity. Knowl. Based Syst. 104: 24-38 (2016)
[j88]
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Chuan Luo, Tianrui Li, Hongmei Chen, Hamido Fujita, Zhang Yi:
Efficient updating of probabilistic approximations with incremental objects. Knowl. Based Syst. 109: 71-83 (2016)
[j87]
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Shudong Huang, Hongjun Wang, Tao Li, Yan Yang, Tianrui Li:
Constraint Co-Projections for Semi-Supervised Co-Clustering. IEEE Trans. Cybern. 46(12): 3047-3058 (2016)
[j86]
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Zhaoyuan Wang, Huanlai Xing, Tianrui Li, Yan Yang, Rong Qu, Yi Pan:
A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization. IEEE Trans. Evol. Comput. 20(3): 325-342 (2016)
[c78]
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Zeng Yu, Ning Yu, Yi Pan, Tianrui Li:
A Novel Deep Learning Network Architecture with Cross-Layer Neurons. BDCloud-SocialCom-SustainCom 2016: 111-117
[c77]
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Shenggong Ji, Yu Zheng, Tianrui Li:
Urban sensing based on human mobility. UbiComp 2016: 1040-1051
[c76]
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Hao Wang, Yan Yang, Tianrui Li:
Multi-view Clustering via Concept Factorization with Local Manifold Regularization. ICDM 2016: 1245-1250
[c75]
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Macmillan Simfukwe, Bo Peng, Tianrui Li:
A Data Fusion-Based Framework for Image Segmentation Evaluation. ICIC (2) 2016: 534-545
[c74]
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Xiuwen Yi, Yu Zheng, Junbo Zhang, Tianrui Li:
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data. IJCAI 2016: 2704-2710
[c73]
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Chao Guo, Yan Yang, Hong Pan, Tianrui Li, Weidong Jin:
Fault analysis of High Speed Train with DBN hierarchical ensemble. IJCNN 2016: 2552-2559
[c72]
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Huanlai Xing, Fuhong Song, Zhaoyuan Wang, Tianrui Li, Yan Yang:
On Minimizing Network Coding Resource: A Modified Particle Swarm Optimization Approach. MSN 2016: 330-334
[c71]
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Yanyong Huang, Tianrui Li, Chuan Luo, Shi-Jinn Horng:
Matrix-Based Rough Set Approach for Dynamic Probabilistic Set-Valued Information Systems. IJCRS 2016: 197-206
[c70]
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Vinath Mekthanavanh, Tianrui Li:
Social Web Videos Clustering Based on Ensemble Technique. IJCRS 2016: 449-458
[i1]
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Junbo Zhang, Tianrui Li, Yi Pan:
Parallel Large-Scale Attribute Reduction on Cloud Systems. CoRR abs/1610.01807 (2016)
2015
[j85]
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Jie Hu, Tianrui Li:
Reversible steganography using extended image interpolation technique. Comput. Electr. Eng. 46: 447-455 (2015)
[j84]
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Anping Zeng, Tianrui Li, Dun Liu, Junbo Zhang, Hongmei Chen:
A fuzzy rough set approach for incremental feature selection on hybrid information systems. Fuzzy Sets Syst. 258: 39-60 (2015)
[j83]
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Fei Teng, Hao Yang, Tianrui Li, Frédéric Magoulès, Xiaoliang Fan:
MUS: a novel deadline-constrained scheduling algorithm for Hadoop. Int. J. Comput. Sci. Eng. 11(4): 360-367 (2015)
[j82]
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Tianrui Li, Jie Lu, Luis Martínez-López:
Preface: Intelligent Techniques for Data Science. Int. J. Intell. Syst. 30(8): 851-853 (2015)
[j81]
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Jie Hu, Tianrui Li, Hongmei Chen, Anping Zeng:
An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes. Int. J. Intell. Syst. 30(8): 923-947 (2015)
[j80]
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Shaoyong Li, Tianrui Li:
Incremental update of approximations in dominance-based rough sets approach under the variation of attribute values. Inf. Sci. 294: 348-361 (2015)
[j79]
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Chuan Luo, Tianrui Li, Hongmei Chen, Lixia Lu:
Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values. Inf. Sci. 299: 221-242 (2015)
[j78]
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Shi-Jinn Horng, Shiang-Feng Tzeng, Po-Hsian Huang, Xian Wang, Tianrui Li, Muhammad Khurram Khan:
An efficient certificateless aggregate signature with conditional privacy-preserving for vehicular sensor networks. Inf. Sci. 317: 48-66 (2015)
[j77]
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Jue Wu, Lei Yang, Tianrui Li, Changjiang Zhang, Zhihui Li:
Rule-based fuzzy classifier based on quantum ant optimization algorithm. J. Intell. Fuzzy Syst. 29(6): 2365-2371 (2015)
[j76]
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Xiuwen Yi, Tianrui Li, Junbo Zhang, Fei Teng:
不同MapReduce运行系统的性能测试与分析 (Performance Testing and Analysis among Different MapReduce Runtime Systems). 计算机科学 42(5): 24-27 (2015)
[j75]
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Hongmei Tian, Bo Peng, Tianrui Li, Zongxia Xie:
基于监督学习的日冕暗化检测与提取算法 (Coronal Dimming Detecting and Extracting Algorithm Based on Supervised Learning). 计算机科学 42(5): 47-50 (2015)
[j74]
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Zhao Li, Fei Teng, Tianrui Li, Hao Yang:
一种Hadoop中基于作业类别和截止时间的调度算法 (Scheduler Algorithm Based on Type Specific and Deadline in Hadoop). 计算机科学 42(6): 28-31 (2015)
[j73]
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Dun Liu, Tianrui Li, Junbo Zhang:
Incremental updating approximations in probabilistic rough sets under the variation of attributes. Knowl. Based Syst. 73: 81-96 (2015)
[j72]
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Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang, Mehtab Afzal:
Semi-supervised evolutionary ensembles for Web video categorization. Knowl. Based Syst. 76: 53-66 (2015)
[j71]
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Shaoyong Li, Tianrui Li, Jie Hu:
Update of approximations in composite information systems. Knowl. Based Syst. 83: 138-148 (2015)
[j70]
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Shudong Huang, Hongjun Wang, Dingcheng Li, Yan Yang, Tianrui Li:
Spectral co-clustering ensemble. Knowl. Based Syst. 84: 46-55 (2015)
[j69]
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Shaoyong Li, Tianrui Li, Zhixue Zhang, Hongmei Chen, Junbo Zhang:
Parallel computing of approximations in dominance-based rough sets approach. Knowl. Based Syst. 87: 102-111 (2015)
[j68]
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Zhaoyuan Wang, Huanlai Xing, Tianrui Li, Yan Yang, Rong Qu:
An Improved MOEA/D for QoS Oriented Multimedia Multicasting with Network Coding. EAI Endorsed Trans. Security Safety 2(5): e3 (2015)
[j67]
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Hongmei Chen, Tianrui Li, Chuan Luo, Shi-Jinn Horng, Guoyin Wang:
A Decision-Theoretic Rough Set Approach for Dynamic Data Mining. IEEE Trans. Fuzzy Syst. 23(6): 1958-1970 (2015)
[j66]
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Junbo Zhang, Jian-Syuan Wong, Yi Pan, Tianrui Li:
A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems. IEEE Trans. Knowl. Data Eng. 27(2): 326-339 (2015)
[c69]
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Jie Hu, Tianrui Li, Chuan Luo, Shaoyong Li:
Incremental fuzzy probabilistic rough sets over dual universes. FUZZ-IEEE 2015: 1-8
[c68]
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Fei Teng, Lei Yu, Tianrui Li:
Node Scaling Scheduling of Real-Time Tasks in a Power-Aware Datacenter. HPCC/CSS/ICESS 2015: 96-101
[c67]
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Anping Zeng, Tianrui Li, Chuan Luo, Jie Hu:
Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values. ICMLC 2015: 157-162
[c66]
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Yunge Jing, Tianrui Li:
A Matrix-Based Incremental Attribute Reduction Approach under Knowledge Granularity on the Variation of Attribute Set. ISKE 2015: 34-39
[c65]
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Qi Yang, Hongjun Wang, Tianrui Li, Yan Yang:
Deep Belief Networks Oriented Clustering. ISKE 2015: 58-65
[c64]
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Hua Meng, Tianrui Li:
A Topological Characterization of Multiple Revision. ISKE 2015: 71-76
[c63]
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Chaotian Wu, Tianrui Li, Fei Teng, Xindi Chen:
An Improved PSO Algorithm for Community Detection. ISKE 2015: 138-143
[c62]
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Yanyong Huang, Tianrui Li, Chuan Luo, Shi-Jinn Horng:
Dynamic Updating Rough Approximations in Distributed Information Systems. ISKE 2015: 170-175
[c61]
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Shengjiu Liu, Tianrui Li:
A New Hypernetwork Model Based on Matrix Operation. ISKE 2015: 176-182
[c60]
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  - conf/kdd/ZhengYLLSCL15
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Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, Tianrui Li:
Forecasting Fine-Grained Air Quality Based on Big Data. KDD 2015: 2267-2276
[c59]
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Yanyong Huang, Tianrui Li, Shi-Jinn Horng:
Dynamic Maintenance of Rough Fuzzy Approximations with the Variation of Objects and Attributes. RSFDGrC 2015: 173-184
[c58]
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Tianrui Li, Chuan Luo, Hongmei Chen, Junbo Zhang:
PICKT: A Solution for Big Data Analysis. RSKT 2015: 15-25
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Hongmei Chen, Tianrui Li, Chuan Luo, Jie Hu:
Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction. RSKT 2015: 89-99
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Yingying Zhang, Tianrui Li, Chuan Luo, Hongmei Chen:
Incremental Updating Rough Approximations in Interval-valued Information Systems. RSKT 2015: 243-252
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Hong Yu, Guoyin Wang, Baoqing Hu, Xiuyi Jia, Huaxiong Li, Tianrui Li, Decui Liang, Jiye Liang, Baoxiang Liu, Dun Liu, Jianmin Ma, Duoqian Miao, Fan Min, Jian-Jun Qi, Lin Shang, Jiucheng Xu, Hailong Yang, Jingtao Yao, Yiyu Yao, Hongying Zhang, Yanping Zhang, Yanhui Zhu:
Methods and Practices of Three-Way Decisions for Complex Problem Solving. RSKT 2015: 255-265
2014
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Anping Zeng, Tianrui Li, Junbo Zhang, Hongmei Chen:
Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set. Fundam. Informaticae 132(3): 401-422 (2014)
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Tianrui Li, Hongmei Chen, Jingtao Yao, Hung Son Nguyen:
Preface. Fundam. Informaticae 132(3): i-iii (2014)
[j63]
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Dun Liu, Tianrui Li, Decui Liang:
Incorporating logistic regression to decision-theoretic rough sets for classifications. Int. J. Approx. Reason. 55(1): 197-210 (2014)
[j62]
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Junbo Zhang, Jian-Syuan Wong, Tianrui Li, Yi Pan:
A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems. Int. J. Approx. Reason. 55(3): 896-907 (2014)
[j61]
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Dun Liu, Tianrui Li, Junbo Zhang:
A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems. Int. J. Approx. Reason. 55(8): 1764-1786 (2014)
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Jian Lin, Bo Peng, Tianrui Li:
A Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation. Int. J. Image Graph. 14(3) (2014)
[j59]
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Junbo Zhang, Tianrui Li, Hongmei Chen:
Composite rough sets for dynamic data mining. Inf. Sci. 257: 81-100 (2014)
[j58]
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Chuan Luo, Tianrui Li, Hongmei Chen:
Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization. Inf. Sci. 257: 210-228 (2014)
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Xi'ao Ma, Guoyin Wang, Hong Yu, Tianrui Li:
Decision region distribution preservation reduction in decision-theoretic rough set model. Inf. Sci. 278: 614-640 (2014)
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Muhammad Zia-ur Rehman, Tianrui Li, Yan Yang, Hongjun Wang:
Hyper-ellipsoidal clustering technique for evolving data stream. Knowl. Based Syst. 70: 3-14 (2014)
[j55]
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Hongjun Wang, Yinghui Zhang, Ruihua Nie, Yan Yang, Bo Peng, Tianrui Li:
Bayesian image segmentation fusion. Knowl. Based Syst. 71: 162-168 (2014)
[j54]
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Shi-Jinn Horng, Mahmoud E. Farfoura, Pingzhi Fan, Xian Wang, Tianrui Li, Jing-Ming Guo:
A low cost fragile watermarking scheme in H.264/AVC compressed domain. Multim. Tools Appl. 72(3): 2469-2495 (2014)
[j53]
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Dun Liu, Tianrui Li:
Extended Probabilistic Rough Sets Under a Strict Dominance Relation. J. Multiple Valued Log. Soft Comput. 22(4-6): 387-408 (2014)
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Hongjun Wang, Tao Li, Tianrui Li, Yan Yang:
Constraint Neighborhood Projections for Semi-Supervised Clustering. IEEE Trans. Cybern. 44(5): 636-643 (2014)
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Haiquan Zhao, Shibin Gao, Zhengyou He, Xiangping Zeng, Weidong Jin, Tianrui Li:
Identification of Nonlinear Dynamic System Using a Novel Recurrent Wavelet Neural Network Based on the Pipelined Architecture. IEEE Trans. Ind. Electron. 61(8): 4171-4182 (2014)
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Fei Teng, Frédéric Magoulès, Lei Yu, Tianrui Li:
A novel real-time scheduling algorithm and performance analysis of a MapReduce-based cloud. J. Supercomput. 69(2): 739-765 (2014)
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Hongmei Chen, Tianrui Li, Chuan Luo, Shi-Jinn Horng, Guoyin Wang:
A Rough Set-Based Method for Updating Decision Rules on Attribute Values' Coarsening and Refining. IEEE Trans. Knowl. Data Eng. 26(12): 2886-2899 (2014)
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Dun Liu, Tianrui Li, Decui Liang:
Three-Way Decisions in Stochastic Decision-Theoretic Rough Sets. Trans. Rough Sets 18: 110-130 (2014)
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Jipeng Xie, Tianrui Li, Yan Yang, Weidong Jin:
Learning features from High Speed Train vibration signals with Deep Belief Networks. IJCNN 2014: 2205-2210
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Chuan Luo, Tianrui Li:
Incremental Three-Way Decisions with Incomplete Information. RSCTC 2014: 128-135
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Shaoyong Li, Tianrui Li:
A Parallel Matrix-Based Approach for Computing Approximations in Dominance-Based Rough Sets Approach. RSKT 2014: 173-183
[c51]
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Chuan Luo, Tianrui Li, Hongmei Chen:
Dynamic Maintenance of Three-Way Decision Rules. RSKT 2014: 801-811
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James F. Peters, Andrzej Skowron, Tianrui Li, Yan Yang, JingTao Yao, Hung Son Nguyen:
Transactions on Rough Sets XVIII. Lecture Notes in Computer Science 8449, Springer 2014, ISBN 978-3-662-44679-9 [contents]
2013
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Yan Yang, Tonny Rutayisire, Chao Lin, Tianrui Li, Fei Teng:
An Improved Cop-Kmeans Clustering for Solving Constraint Violation Based on MapReduce Framework. Fundam. Informaticae 126(4): 301-318 (2013)
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Tao Liu, Tianrui Li, Yihong Chen:
A Distributed TDMA-Based Data Gathering Scheme for Wireless Sensor Networks. IEICE Trans. Inf. Syst. 96-D(9): 2135-2138 (2013)
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Tianrui Li:
Fuzziness in systems modelling. Int. J. Gen. Syst. 42(1): 1-2 (2013)
[j44]
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Shaoyong Li, Tianrui Li, Dun Liu:
Dynamic Maintenance of Approximations in Dominance-Based Rough Set Approach under the Variation of the Object Set. Int. J. Intell. Syst. 28(8): 729-751 (2013)
[j43]
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Shi-Jinn Horng, Shiang-Feng Tzeng, Pingzhi Fan, Xian Wang, Tianrui Li, Muhammad Khurram Khan:
Secure Convertible Undeniable Signature Scheme Using Extended Euclidean Algorithm without Random Oracles. KSII Trans. Internet Inf. Syst. 7(6): 1512-1532 (2013)
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Shi-Jinn Horng, Ling-Yuan Hsu, Tianrui Li, Shaojie Qiao, Xun Gong, Hsien-Hsin Chou, Muhammad Khurram Khan:
Using Sorted Switching Median Filter to remove high-density impulse noises. J. Vis. Commun. Image Represent. 24(7): 956-967 (2013)
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Shi-Jinn Horng, Didi Rosiyadi, Tianrui Li, Takao Terano, Minyi Guo, Muhammad Khurram Khan:
A blind image copyright protection scheme for e-government. J. Vis. Commun. Image Represent. 24(7): 1099-1105 (2013)
[j40]
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Shaoyong Li, Tianrui Li, Dun Liu:
Incremental updating approximations in dominance-based rough sets approach under the variation of the attribute set. Knowl. Based Syst. 40: 17-26 (2013)
[j39]
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Chuan Luo, Tianrui Li, Hongmei Chen, Dun Liu:
Incremental approaches for updating approximations in set-valued ordered information systems. Knowl. Based Syst. 50: 218-233 (2013)
[j38]
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Bo Peng, Tianrui Li:
A Probabilistic Measure for Quantitative Evaluation of Image Segmentation. IEEE Signal Process. Lett. 20(7): 689-692 (2013)
[j37]
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Shi-Jinn Horng, Shiang-Feng Tzeng, Yi Pan, Pingzhi Fan, Xian Wang, Tianrui Li, Muhammad Khurram Khan:
b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET. IEEE Trans. Inf. Forensics Secur. 8(11): 1860-1875 (2013)
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Hongmei Chen, Tianrui Li, Da Ruan, Jianhui Lin, Chengxiang Hu:
A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments. IEEE Trans. Knowl. Data Eng. 25(2): 274-284 (2013)
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Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang:
Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization. ADMA (2) 2013: 1-12
[c49]
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  - conf/birthday/KerreCNMXL13
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Etienne E. Kerre, Martine De Cock, Mike Nachtegael, Javier Montero, Yang Xu, Tianrui Li:
Chairing the FLINS Conference Series (1994-2012). A Tribute to Prof. Dr. Da Ruan 2013: 73-82
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Yang Xu, Tianrui Li:
Chairing the ISKE Conference Series (2006-2011). A Tribute to Prof. Dr. Da Ruan 2013: 83-86
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Tao Zhao, Xun Gong, Tianrui Li, Xinjiang Li, Wei Xiong:
Shape Constraint and Multi-feature Fusion Particle Filter for Facial Feature Point Tracking. CCBR 2013: 43-50
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Anping Zeng, Tianrui Li, Chuan Luo, Junbo Zhang:
An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values. CIDUE 2013: 54-60
[c45]
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Rong Hu, Tianrui Li:
Complex dynamics analysis and chaos control in airlines' dynamic price competition model with bounded retionality in China. ICCSCE 2013: 12-16
[c44]
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Chuan Luo, Lixia Lu, Tianrui Li, Anping Zeng, Hongmei Chen:
An approach for incremental maintenance of approximations in set-valued ordered decision systems while updating criteria values. IFSA/NAFIPS 2013: 819-824
[c43]
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Dun Liu, Tianrui Li, Decui Liang:
Fuzzy interval decision-theoretic rough sets. IFSA/NAFIPS 2013: 1315-1320
[c42]
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  - conf/incos/LinPLC13
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Jian Lin, Bo Peng, Tianrui Li, Qin Chen:
A Learning-Based Framework for Image Segmentation Evaluation. INCoS 2013: 691-696
[c41]
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Junbo Zhang, Jian-Syuan Wong, Yi Pan, Tianrui Li:
H2T: A Simple Hadoop-to-Twister Translator for Cloud Computing. ISBAST 2013: 180-186
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Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang, Mehtab Afzal:
Semi-supervised Clustering Ensemble for Web Video Categorization. MCS 2013: 190-200
[c39]
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Junbo Zhang, Tianrui Li, Yi Pan:
PLAR: Parallel Large-Scale Attribute Reduction on Cloud Systems. PDCAT 2013: 184-191
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Anping Zeng, Tianrui Li, Chuan Luo, Junbo Zhang, Yan Yang:
A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems. RSFDGrC 2013: 157-168
[c37]
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Junbo Zhang, Yun Zhu, Yi Pan, Tianrui Li:
A Parallel Implementation of Computing Composite Rough Set Approximations on GPUs. RSKT 2013: 240-250
[c36]
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Dun Liu, Tianrui Li, Decui Liang:
Three-Way Decisions in Dynamic Decision-Theoretic Rough Sets. RSKT 2013: 291-301
[c35]
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Shanglian Peng, Tianrui Li, Hongjun Wang, Jia He, Tiejun Wang, Fan Li, An Liu:
Efficient Complex Event Processing under Boolean Model. WAIM 2013: 631-642
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Hongmei Chen, Tianrui Li, Hongmei Tian:
Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attributes Vary with Time. Rough Sets and Intelligent Systems (1) 2013: 229-248
2012
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Shaojie Qiao, Tianrui Li, Hong Li, Jing Peng, Hongmei Chen:
A new blockmodeling based hierarchical clustering algorithm for web social networks. Eng. Appl. Artif. Intell. 25(3): 640-647 (2012)
[j34]
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Dun Liu, Tianrui Li, Huaxiong Li:
A Multiple-category Classification Approach with Decision-theoretic Rough Sets. Fundam. Informaticae 115(2-3): 173-188 (2012)
[j33]
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Haiquan Zhao, Xiangping Zeng, Zhengyou He, Weidong Jin, Tianrui Li:
Complex-valued pipelined decision feedback recurrent neural network for non-linear channel equalisation. IET Commun. 6(9): 1082-1096 (2012)
[j32]
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Junbo Zhang, Tianrui Li, Da Ruan, Dun Liu:
Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems. Int. J. Approx. Reason. 53(4): 620-635 (2012)
[j31]
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Junbo Zhang, Tianrui Li, Da Ruan, Dun Liu:
Neighborhood rough sets for dynamic data mining. Int. J. Intell. Syst. 27(4): 317-342 (2012)
[j30]
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Junbo Zhang, Tianrui Li, Da Ruan, Zizhe Gao, Chengbing Zhao:
A parallel method for computing rough set approximations. Inf. Sci. 194: 209-223 (2012)
[j29]
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Hongmei Chen, Tianrui Li, Da Ruan:
Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining. Knowl. Based Syst. 31: 140-161 (2012)
[j28]
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Guangquan Zhang, Yang Xu, Tianrui Li:
A special issue on new trends in Intelligent Decision Support Systems. Knowl. Based Syst. 32: 1-2 (2012)
[j27]
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Yan Yang, Wei Tan, Tianrui Li, Da Ruan:
Consensus clustering based on constrained self-organizing map and improved Cop-Kmeans ensemble in intelligent decision support systems. Knowl. Based Syst. 32: 101-115 (2012)
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Hongjun Wang, Ruihua Nie, Xingnian Liu, Tianrui Li:
Constraint projections for semi-supervised affinity propagation. Knowl. Based Syst. 36: 315-321 (2012)
[j25]
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Hongmei Chen, Tianrui Li, Da Ruan:
Dynamic Maintenance of Approximations Under a Rough-set Based Variable Precision Limited Tolerance Relation. J. Multiple Valued Log. Soft Comput. 18(5-6): 577-598 (2012)
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Haiquan Zhao, Xiangping Zeng, Xiaoqiang Zhang, Zhengyou He, Tianrui Li, Weidong Jin:
Adaptive Extended Pipelined Second-Order Volterra Filter for Nonlinear Active Noise Controller. IEEE Trans. Speech Audio Process. 20(4): 1394-1399 (2012)
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Hongjun Wang, Tao Li, Tianrui Li, Yan Yang:
Exemplars-Constraints for Semi-supervised Clustering. ADMA 2012: 115-126
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Junbo Zhang, Tianrui Li, Hongmei Chen:
Composite Rough Sets. AICI 2012: 150-159
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Chuan Luo, Tianrui Li, Hongmei Chen, Dun Liu:
Dynamic maintenance strategy for approximations in set-valued ordered information systems under the attribute generalization. GrC 2012: 332-337
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Anping Zeng, Tianrui Li:
An incremental approach for updating approximations of neighborhood rough fuzzy sets under the variation of object set. GrC 2012: 624-628
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Junbo Zhang, Tianrui Li, Yi Pan:
Parallel rough set based knowledge acquisition using MapReduce from big data. BigMine 2012: 20-27
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Shaoyong Li, Tianrui Li, Chuan Luo:
A Multi-granulation Model under Dominance-Based Rough Set Approach. RSCTC 2012: 18-25
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Anping Zeng, Tianrui Li, Junbo Zhang, Dun Liu:
An Incremental Approach for Updating Approximations of Rough Fuzzy Sets under the Variation of the Object Set. RSCTC 2012: 36-45
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Chuan Luo, Tianrui Li, Hongmei Chen, Dun Liu:
An Incremental Approach for Updating Approximations Based on Set-Valued Ordered Information Systems. RSCTC 2012: 363-369
[c26]
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Dun Liu, Tianrui Li, Decui Liang:
Decision-Theoretic Rough Sets with Probabilistic Distribution. RSKT 2012: 389-398
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Junbo Zhang, Tianrui Li, Da Ruan:
Rough Sets Based Incremental Rule Acquisition in Set-Valued Information Systems. Autonomous Systems: Developments and Trends 2012: 135-146
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Tianrui Li, Hung Son Nguyen, Guoyin Wang, Jerzy W. Grzymala-Busse, Ryszard Janicki, Aboul Ella Hassanien, Hong Yu:
Rough Sets and Knowledge Technology - 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012. Proceedings. Lecture Notes in Computer Science 7414, Springer 2012, ISBN 978-3-642-31899-3 [contents]
2011
[j23]
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Zhengjiang Wu, Tianrui Li, Keyun Qin, Da Ruan:
Approximation Operators, Binary Relation and Basis Algebra in L-fuzzy Rough Sets. Fundam. Informaticae 111(1): 47-63 (2011)
[j22]
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Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Tianrui Li:
Equalisation of non-linear time-varying channels using a pipelined decision feedback recurrent neural network filter in wireless communication systems. IET Commun. 5(3): 381-395 (2011)
[j21]
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Xun Gong, Yong Yang, Jianhui Lin, Tianrui Li:
Expression Detection Based on a Novel Emotion Recognition Method. Int. J. Comput. Intell. Syst. 4(1): 44-53 (2011)
[j20]
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Tianrui Li, Pawan Lingras, Yuefeng Li, Joseph P. Herbert:
Computational Intelligence in Decision Making. Int. J. Comput. Intell. Syst. 4(1) (2011)
[j19]
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Dun Liu, Yiyu Yao, Tianrui Li:
Three-way Investment Decisions with Decision-theoretic Rough Sets. Int. J. Comput. Intell. Syst. 4(1): 66-74 (2011)
[j18]
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Shaojie Qiao, Tianrui Li, Michael Chau, Jing Peng, Yan Zhu, Hong Li:
WebScore: An Effective Page Scoring Approach for Uncertain Web Social Networks. Int. J. Comput. Intell. Syst. 4(5): 1012-1021 (2011)
[j17]
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Tianrui Li:
Da Ruan (10 September 1960 to 31 July 2011). Int. J. Gen. Syst. 40(8): 775-776 (2011)
[j16]
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Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Tianrui Li, Yangguang Liu, Da Ruan:
Pipelined functional link artificial recurrent neural network with the decision feedback structure for nonlinear channel equalization. Inf. Sci. 181(17): 3677-3692 (2011)
[j15]
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Dun Liu, Tianrui Li, Da Ruan:
Probabilistic model criteria with decision-theoretic rough sets. Inf. Sci. 181(17): 3709-3722 (2011)
[j14]
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Dun Liu, Tianrui Li, Da Ruan, Junbo Zhang:
Incremental learning optimization on knowledge discovery in dynamic business intelligent systems. J. Glob. Optim. 51(2): 325-344 (2011)
[j13]
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Lin Feng, Tianrui Li, Da Ruan, Shirong Gou:
A vague-rough set approach for uncertain knowledge acquisition. Knowl. Based Syst. 24(6): 837-843 (2011)
[j12]
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Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Yangguang Liu, Xiaomin Wang, Tianrui Li:
A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems. Neural Networks 24(1): 12-18 (2011)
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Junbo Zhang, Tianrui Li, Yan Yang, Lei Wang:
Neighborhood Rough Sets Based Matrix Approach for Calculation of the Approximations. RSKT 2011: 166-171
[c24]
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Dun Liu, Tianrui Li, Decui Liang:
A New Discriminant Analysis Approach under Decision-Theoretic Rough Sets. RSKT 2011: 476-485
2010
[j11]
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Shaojie Qiao, Tianrui Li, Jing Peng, Jiangtao Qiu:
Parallel Sequential Pattern Mining of Massive Trajectory Data. Int. J. Comput. Intell. Syst. 3(3): 343-356 (2010)
[j10]
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Hongmei Chen, Tianrui Li, Shaojie Qiao, Da Ruan:
A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values. Int. J. Intell. Syst. 25(10): 1005-1026 (2010)
[j9]
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Shibao Sun, Ruijuan Zheng, Qingtao Wu, Tianrui Li:
VPRS-Based Knowledge Discovery Approach in Incomplete Information System. J. Comput. 5(1): 110-116 (2010)
[j8]
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Yongjun Shen, Tianrui Li, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, Tom Brijs:
A hybrid system of neural networks and rough sets for road safety performance indicators. Soft Comput. 14(12): 1255-1263 (2010)
[j7]
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Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Tianrui Li:
Nonlinear Adaptive Equalizer Using a Pipelined Decision Feedback Recurrent Neural Network in Communication Systems. IEEE Trans. Commun. 58(8): 2193-2198 (2010)
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Hongmei Chen, Tianrui Li, Junbo Zhang:
A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time. GrC 2010: 90-95
[c22]
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Hongmei Chen, Tianrui Li, Junbo Zhang:
A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems. GrC 2010: 96-101
[c21]
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Lei Wang, Jun Ye, Tianrui Li:
Supplier Selection Based on Rough Sets and Analytic Hierarchy Process. GrC 2010: 787-790
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Shaoyong Li, Tianrui Li, Junbo Zhang:
Approaches for dynamically updating set approximations in dominance based rough sets while condition attributes value coarsening and refining. ISKE 2010: 27-32
[c19]
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Junbo Zhang, Tianrui Li, Lei Wang:
A new method for calculation of the approximations under the probabilistic rough sets. ISKE 2010: 73-76
[c18]
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Junbo Zhang, Tianrui Li, Dun Liu:
An approach for incremental updating approximations in Variable precision rough sets while attribute generalized. ISKE 2010: 77-81
[c17]
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Shaojie Qiao, Tianrui Li, Hong Li, Yan Zhu, Jing Peng, Jiangtao Qiu:
SimRank: A Page Rank approach based on similarity measure. ISKE 2010: 390-395
[c16]
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Shaojie Qiao, Jing Peng, Hong Li, Tianrui Li, Liangxu Liu, Hongjun Li:
WebRank: A Hybrid Page Scoring Approach Based on Social Network Analysis. RSKT 2010: 475-482
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Dun Liu, Tianrui Li, Pei Hu, Huaxiong Li:
Multiple-Category Classification with Decision-Theoretic Rough Sets. RSKT 2010: 703-710

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Dun Liu, Tianrui Li, Da Ruan, Weili Zou:
An Incremental Approach for Inducing Knowledge from Dynamic Information Systems. Fundam. Informaticae 94(2): 245-260 (2009)
[j5]
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Jing Song, Tianrui Li, Da Ruan:
An Integration of Cloud Transform and Rough Set Theory to Induction of Decision Trees. Fundam. Informaticae 94(2): 261-273 (2009)
[j4]
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Tianrui Li, Guoyin Wang:
Computational Intelligence in Knowledge Technology. Int. J. Comput. Intell. Syst. 2(4): 312-314 (2009)
[c14]
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Hongmei Chen, Tianrui Li, Weibin Liu, Weili Zou:
Research on the approach of dynamically maintenance of approximations in rough set theory while attribute values coarsening and refining. GrC 2009: 45-48
[c13]
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Hongmei Chen, Tianrui Li, Chengxiang Hu, Xiaolan Ji:
An incremental updating principle for computing approximations in information systems while the object set varies with time. GrC 2009: 49-52
[c12]
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Dun Liu, Tianrui Li, Gangrong Liu, Pei Hu:
An approach for inducing interesting incremental knowledge based on the change of attribute values. GrC 2009: 415-418
[c11]
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Weili Zou, Tianrui Li, Hongmei Chen, Xiaolan Ji:
Approaches for incrementally updating approximations based on set-valued information systems while attribute values' coarsening and refining. GrC 2009: 824-829
[c10]
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Tianrui Li, Yongjun Shen, Da Ruan, Elke Hermans, Geert Wets:
Integrating Rough Sets with Neural Networks for Weighting Road Safety Performance Indicators. RSKT 2009: 60-67
[c9]
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Zhengjiang Wu, Lingxiao Yang, Tianrui Li, Keyun Qin:
The Basis Algebra in L-Fuzzy Rough Sets. RSKT 2009: 320-325
2008
[j3]
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Tianrui Li, Yang Xu:
Computational Intelligence in Knowledge Engineering. Int. J. Comput. Intell. Syst. 1(3): 202-204 (2008)
[c8]
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Tianrui Li, Luole Qi, Da Ruan:
An efficient algorithm for the Single-Source Shortest Path Problem in graph theory. ISKE 2008: 152-157
[c7]
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Dun Liu, Tianrui Li, Pei Hu:
A New Rough Sets Decision Method Based on PCA and Ordinal Regression. RSCTC 2008: 349-358
[c6]
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Jing Song, Tianrui Li, Da Ruan:
A New Decision Tree Construction Using the Cloud Transform and Rough Sets. RSKT 2008: 524-531
[e1]
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Guoyin Wang, Tianrui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Andrzej Skowron, Yiyu Yao:
Rough Sets and Knowledge Technology, Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings. Lecture Notes in Computer Science 5009, Springer 2008, ISBN 978-3-540-79720-3 [contents]
2007
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Tianrui Li, Da Ruan:
An extended process model of knowledge discovery in database. J. Enterp. Inf. Manag. 20(2): 169-177 (2007)
[j1]
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Tianrui Li, Da Ruan, Geert Wets, Jing Song, Yang Xu:
A rough sets based characteristic relation approach for dynamic attribute generalization in data mining. Knowl. Based Syst. 20(5): 485-494 (2007)
2005
[c5]
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Tianrui Li, Da Ruan, Tianmin Huang, Yang Xu:
On a Mathematical Relationship Between the Fixed Point and the Closed Itemset in Association Rule Mining. Australian Conference on Artificial Intelligence 2005: 989-992
[c4]
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Tianrui Li, Wuming Pan:
Intrusion detection system based on new association rule mining model. GrC 2005: 512-515
[p1]
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Tianrui Li, Yang Xu, Da Ruan, Wuming Pan:
Sequential Pattern Mining. Intelligent Data Mining 2005: 103-122
2004
[c3]
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  - conf/pdcat/LiQMX04
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Tianrui Li, Ming Qing, Jun Ma, Yang Xu:
An Algorithm for Mining Lower Closed Itemsets. PDCAT 2004: 21-24
[c2]
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Tianrui Li, Keyun Qing, Ning Yang, Yang Xu:
Study on Reduct and Core Computation in Incompatible Information Systems. Rough Sets and Current Trends in Computing 2004: 471-476
2003
[c1]
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Jun Ma, Yang Xu, Tianrui Li, W. J. Li:
Uncertainty reasoning based on filter of lattice implication algebra. SMC 2003: 4980-4985

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