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ORCIDXiaoli Li 0001
Xiao-Li Li 0001 – 李晓黎
Person information
- unicode name: 李晓黎
- affiliation: A*Star, Institute for Infocomm Research, Singapore
Other persons with the same name
- Xiaoli Li — disambiguation page
- Xiaoli Li 0002
![[0000-0003-1359-5130]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1359-5130")
— Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, China (and 2 more) - Xiaoli Li 0003 — Shanghai University of Finance and Economics
- Xiaoli Li 0004 — Ryerson University, Toronto, Canada
- Xiaoli Li 0005 — Nangjing University of Technology, China
- Xiaoli Li 0006 — Donghua University, Shanghai, China
- Xiaoli Li 0007 — Municipal Electric Power Company, Shanghai, China
- Xiaoli Li 0008 — Shandong University, Jinan, China
- Xiaoli Li 0009 — Beijing Jiaotong University, Institute of Information Science, China
- Xiaoli Li 0010 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
- Xiaoli Li 0011 — Beijing University of Technology, School of Automation, Faculty of Information Technology, China (and 4 more)
- Xiaoli Li 0012 — University of Missouri, Columbia, MO, USA
- Xiaoli Li 0013 — The University of Kansas, Lawrence, KS, USA
- Xiaoli Li 0014 — Liaoning Technical University, School of Geomatics, Fuxin, China
- Xiaoli Li 0015 — University of Southampton, UK
- Xiaoli Li 0016 — Hubei University of Arts and Science, Computer School, Xiangyang, China (and 1 more)
2020 – today
- 2025
[j122]Pengpeng Qiang, Hongye Tan, Xiaoli Li, Dian Wang, Ru Li, Xinyi Sun, Hu Zhang, Jiye Liang:
Enhancing few-shot KB-VQA with panoramic image captions guided by Large Language Models. Neurocomputing 623: 129373 (2025)- [j121]Yuanlong Wang, Jing Wang, Yue Fan, Qinghua Chai, Hu Zhang, Xiaoli Li, Ru Li:
Multi-granularity contrastive zero-shot learning model based on attribute decomposition. Inf. Process. Manag. 62(1): 103898 (2025) - [j120]Dian Wang, Yang Li, Suge Wang, Xin Chen, Jian Liao, Deyu Li, Xiaoli Li:
CKEMI: Concept knowledge enhanced metaphor identification framework. Inf. Process. Manag. 62(1): 103946 (2025) - [j119]Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen:
Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. IEEE Trans. Instrum. Meas. 74: 1-11 (2025) - [j118]Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath:
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. IEEE Trans. Image Process. 34: 2463-2472 (2025) - [j117]Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 36(1): 753-766 (2025) - [j116]Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Jin Chao, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 36(4): 5837-5857 (2025) - [c158]Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang:
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. KDD (1) 2025: 390-401 - [c157]Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li:
Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning. WACV 2025: 6868-6878 - [i83]Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang:
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. CoRR abs/2501.01472 (2025) - [i82]Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou:
Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective. CoRR abs/2501.04718 (2025) - [i81]Thinh Nguyen, Cuong N. Nguyen, Quang Pham, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Cuong V. Nguyen:
Sequence Transferability and Task Order Selection in Continual Learning. CoRR abs/2502.06544 (2025) - [i80]Jing Wang, Fengzhuo Zhang, Xiaoli Li, Vincent Y. F. Tan, Tianyu Pang, Chao Du, Aixin Sun, Zhuoran Yang:
Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework. CoRR abs/2503.10704 (2025) - 2024
- [j115]Wentao Wang, Xiaoli Li, Jun Tian:
UAV formation path planning for mountainous forest terrain utilizing an artificial rabbit optimizer incorporating reinforcement learning and thermal conduction search strategies. Adv. Eng. Informatics 62: 102947 (2024) - [j114]Yuecong Xu, Haozhi Cao, Lihua Xie, Xiao-Li Li, Zhenghua Chen, Jianfei Yang:
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey. ACM Comput. Surv. 56(12): 317:1-317:36 (2024) - [j113]Yuecong Xu, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu, Jianfei Yang:
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study. Int. J. Comput. Vis. 132(4): 1292-1309 (2024) - [j112]Dian Wang, Yang Li, Suge Wang, Xiaoli Li, Xin Chen, Shuqi Li, Jian Liao, Deyu Li:
Integrating curriculum learning with meta-learning for general rhetoric identification. Int. J. Mach. Learn. Cybern. 15(6): 2411-2425 (2024) - [j111]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10781-10796 (2024) - [j110]Ziyang Wang, Wei Wei, Ding Zou, Yifan Liu, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu:
Exploring global information for session-based recommendation. Pattern Recognit. 145: 109911 (2024) - [j109]Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. IEEE Trans. Artif. Intell. 5(1): 321-333 (2024) - [j108]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. IEEE Trans. Artif. Intell. 5(3): 1185-1194 (2024) - [j107]Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen:
Reinforced Knowledge Distillation for Time Series Regression. IEEE Trans. Artif. Intell. 5(6): 3184-3194 (2024) - [j106]Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen:
Reinforced Reweighting for Self-Supervised Partial Domain Adaptation. IEEE Trans. Artif. Intell. 5(9): 4813-4822 (2024) - [j105]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiao-Li Li:
Label-Efficient Time Series Representation Learning: A Review. IEEE Trans. Artif. Intell. 5(12): 6027-6042 (2024) - [j104]Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen:
A Federated Learning-Based Industrial Health Prognostics for Heterogeneous Edge Devices Using Matched Feature Extraction. IEEE Trans Autom. Sci. Eng. 21(3): 3065-3079 (2024) - [j103]Guanghan Duan, Hongwu Lv, Huiqiang Wang, Guangsheng Feng, Xiaoli Li:
Practical Cyber Attack Detection With Continuous Temporal Graph in Dynamic Network System. IEEE Trans. Inf. Forensics Secur. 19: 4851-4864 (2024) - [j102]Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen:
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 20(2): 1093-1102 (2024) - [j101]Wei Cui, Keyu Wu, Min Wu, Xiaoli Li, Zhenghua Chen:
WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j100]Xiaojun Ning, Jing Wang, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Xiaoli Li, Ziyu Jia:
MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j99]Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation. Trans. Mach. Learn. Res. 2024 (2024) - [j98]Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-Supervised Autoregressive Domain Adaptation for Time Series Data. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1341-1351 (2024) - [j97]Xulei Yang, Xiaoli Li, Hao Su:
Introduction to 3D Deep Learning. World Sci. Annu. Rev. Artif. Intell. 2: 2430001:1-2430001:17 (2024) - [c156]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. AAAI 2024: 15715-15724 - [c155]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph-Aware Contrasting for Multivariate Time-Series Classification. AAAI 2024: 15725-15734 - [c154]Yunxiao Zhao, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li:
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization. ACL (Short Papers) 2024: 510-518 - [c153]Xiaoqi Han, Ru Li, Xiaoli Li, Jiye Liang, Zifang Zhang, Jeff Z. Pan:
InstructEd: Soft-Instruction Tuning for Model Editing with Hops. ACL (Findings) 2024: 14953-14968 - [c152]Bangze Pan, Yang Li, Suge Wang, Xiaoli Li, Deyu Li, Jian Liao, Jianxing Zheng:
Document-Level Event Extraction via Information Interaction Based on Event Relation and Argument Correlation. LREC/COLING 2024: 5156-5166 - [c151]Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. ECCV (71) 2024: 269-287 - [c150]Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li:
Class Name Guided Out-of-Scope Intent Classification. EMNLP (Findings) 2024: 9100-9112 - [c149]Liu Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang:
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. EMNLP 2024: 17525-17537 - [c148]Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan:
Inference Helps PLMs' Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs. EMNLP 2024: 22088-22104 - [c147]Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu:
Interpretable Policy Extraction with Neuro-Symbolic Reinforcement Learning. ICASSP 2024: 7570-7574 - [c146]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li:
TSLANet: Rethinking Transformers for Time Series Representation Learning. ICML 2024 - [c145]Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li:
Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? IJCNN 2024: 1-8 - [c144]He Wang, Qi Zhang, Zhiwen Zheng, Xiaoli Li, Hongye Tan, Ru Li:
A Low-Texture Robust Hybrid Feature Based Visual Odometry. IROS 2024: 10113-10120 - [c143]Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang:
Generative Semi-supervised Graph Anomaly Detection. NeurIPS 2024 - [c142]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Reinforced Cross-Domain Knowledge Distillation on Time Series Data. NeurIPS 2024 - [i79]Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen:
A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions. CoRR abs/2401.04351 (2024) - [i78]Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho:
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR abs/2402.02526 (2024) - [i77]J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, Jón Atli Benediktsson, Xiaoli Li:
Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering. CoRR abs/2402.09167 (2024) - [i76]J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li:
Self-evolving Autoencoder Embedded Q-Network. CoRR abs/2402.11604 (2024) - [i75]Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang:
Generative Semi-supervised Graph Anomaly Detection. CoRR abs/2402.11887 (2024) - [i74]Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. CoRR abs/2403.03645 (2024) - [i73]Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu:
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR abs/2403.14734 (2024) - [i72]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li:
TSLANet: Rethinking Transformers for Time Series Representation Learning. CoRR abs/2404.08472 (2024) - [i71]Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR abs/2405.06038 (2024) - [i70]Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen:
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. CoRR abs/2406.02635 (2024) - [i69]Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen:
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. CoRR abs/2406.08765 (2024) - [i68]Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. CoRR abs/2407.02068 (2024) - [i67]Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. CoRR abs/2407.02098 (2024) - [i66]Edward, Mohamed Ragab, Min Wu, Yuecong Xu, Zhenghua Chen, Abdulla Alseiari, Xiaoli Li:
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments. CoRR abs/2407.17117 (2024) - [i65]Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. CoRR abs/2409.19629 (2024) - [i64]Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation. CoRR abs/2409.19635 (2024) - [i63]Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath:
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. CoRR abs/2410.04764 (2024) - [i62]Ran Liu, Zhongzhou Liu, Xiaoli Li, Hao Wu, Yuan Fang:
Diversified and Adaptive Negative Sampling on Knowledge Graphs. CoRR abs/2410.07592 (2024) - [i61]Ran Liu, Zhongzhou Liu, Xiao-Li Li, Yuan Fang:
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. CoRR abs/2410.09123 (2024) - [i60]Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Xiaoli Li, Ru Li, Jeff Z. Pan:
Atomic Fact Decomposition Helps Attributed Question Answering. CoRR abs/2410.16708 (2024) - 2023
- [j96]Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian-Yu Shi:
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning. Bioinform. 39(8) (2023) - [j95]Youlin Zhan, Jiahan Liu, Min Wu, Chris Soon Heng Tan, Xiaoli Li, Le Ou-Yang:
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks. Comput. Biol. Medicine 159: 106936 (2023) - [j94]Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Shaohua Tian, Chee-Keong Kwoh, Xiaoli Li, Xuefeng Chen:
A universal transfer network for machinery fault diagnosis. Comput. Ind. 151: 103976 (2023) - [j93]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. IEEE Comput. Intell. Mag. 18(2): 60-77 (2023) - [j92]Harikumar Kandath, Md Meftahul Ferdaus, Zhen Wei Ng, Bangjian Zhou, Suresh Sundaram, Xiaoli Li, Senthilnath Jayavelu:
PASE: An autonomous sequential framework for the state estimation of dynamical systems. Expert Syst. Appl. 215: 119414 (2023) - [j91]Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li:
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. IEEE CAA J. Autom. Sinica 10(1): 177-187 (2023) - [j90]Rajdeep Dutta, Harikumar Kandath, Senthilnath Jayavelu, Xiao-Li Li, Suresh Sundaram, Daniel J. Pack:
A decentralized learning strategy to restore connectivity during multi-agent formation control. Neurocomputing 520: 33-45 (2023) - [j89]Yujie Fu, Suge Wang, Xiaoli Li, Deyu Li, Yang Li, Jian Liao, Jianxing Zheng:
Hierarchical neural network: Integrate divide-and-conquer and unified approach for argument unit recognition and classification. Inf. Sci. 624: 796-810 (2023) - [j88]Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang:
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts. Inf. Sci. 626: 658-693 (2023) - [j87]Xiaoqi Han, Ru Li, Xiaoli Li, Jeff Z. Pan:
A divide and conquer framework for Knowledge Editing. Knowl. Based Syst. 279: 110826 (2023) - [j86]Xin Chen, Suge Wang, Xiaoli Li, Zhen Hai, Yang Li, Deyu Li, Jianghui Cai:
Identifying implicit emotions via hierarchical structure and rhetorical correlation. Int. J. Mach. Learn. Cybern. 14(11): 3753-3764 (2023) - [j85]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15604-15618 (2023) - [j84]Xuefeng Su, Ru Li, Xiaoli Li, Baobao Chang, Zhiwei Hu, Xiaoqi Han, Zhichao Yan:
A Span-based Target-aware Relation Model for Frame-semantic Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 90:1-90:24 (2023) - [j83]Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li:
Reinforced Adaptation Network for Partial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2370-2380 (2023) - [j82]Yan Qin, Chau Yuen, Yimin Shao, Bo Qin, Xiaoli Li:
Slow-Varying Dynamics-Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation. IEEE Trans. Cybern. 53(1): 592-606 (2023) - [j81]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 210-221 (2023) - [j80]Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li:
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE J. Biomed. Health Informatics 27(2): 598-607 (2023) - [j79]Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. ACM Trans. Knowl. Discov. Data 17(8): 106:1-106:18 (2023) - [j78]Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li:
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. IEEE Trans. Sustain. Comput. 8(1): 1-14 (2023) - [c141]Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie:
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. AAAI 2023: 10253-10261 - [c140]Wang Jing, Aixin Sun, Hao Zhang, Xiaoli Li:
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction. ACL (1) 2023: 1387-1400 - [c139]Yujie Fu, Yang Li, Suge Wang, Xiaoli Li, Deyu Li, Jian Liao, Jianxing Zheng:
Hierarchical Enhancement Framework for Aspect-based Argument Mining. EMNLP (Findings) 2023: 1423-1433 - [c138]Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP 2023: 5754-5765 - [c137]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
From Speculation Detection to Trustworthy Relational Tuples in Information Extraction. EMNLP (Findings) 2023: 13287-13299 - [c136]Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, Xiaoli Li:
Decomposed Prompt Tuning via Low-Rank Reparameterization. EMNLP (Findings) 2023: 13335-13347 - [c135]Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li:
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. EMNLP (Findings) 2023: 14857-14873 - [c134]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Open Information Extraction via Chunks. EMNLP 2023: 15390-15404 - [c133]Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li:
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. ICCV 2023: 13399-13410 - [c132]Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. ICCV 2023: 17401-17411 - [c131]Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang:
COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. ICIP 2023: 1990-1994 - [c130]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI 2023: 4460-4468 - [c129]Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. IJCAI 2023: 4984-4992 - [c128]Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. KDD 2023: 1989-1998 - [i59]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Label-efficient Time Series Representation Learning: A Review. CoRR abs/2302.06433 (2023) - [i58]Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li:
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. CoRR abs/2303.10451 (2023) - [i57]Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen:
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation. CoRR abs/2303.10452 (2023) - [i56]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Open Information Extraction via Chunks. CoRR abs/2305.03299 (2023) - [i55]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection. CoRR abs/2305.04181 (2023) - [i54]Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu:
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning. CoRR abs/2305.07367 (2023) - [i53]Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen:
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction. CoRR abs/2305.07854 (2023) - [i52]Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. CoRR abs/2305.08316 (2023) - [i51]Jing Wang, Aixin Sun, Hao Zhang, Xiaoli Li:
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction. CoRR abs/2305.18969 (2023) - [i50]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR abs/2307.03347 (2023) - [i49]Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. CoRR abs/2307.07542 (2023) - [i48]Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen:
Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR abs/2308.09327 (2023) - [i47]Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. CoRR abs/2308.10438 (2023) - [i46]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph Contextual Contrasting for Multivariate Time Series Classification. CoRR abs/2309.05202 (2023) - [i45]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data. CoRR abs/2309.05305 (2023) - [i44]Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, Xiaoli Li:
Decomposed Prompt Tuning via Low-Rank Reparameterization. CoRR abs/2310.10094 (2023) - [i43]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - [i42]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. CoRR abs/2311.10806 (2023) - [i41]Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR abs/2312.07035 (2023) - 2022
- [j77]Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li:
Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. 38(8): 2254-2262 (2022) - [j76]Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li:
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. IEEE CAA J. Autom. Sinica 9(8): 1427-1439 (2022) - [j75]Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An:
Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. Neurocomputing 481: 182-192 (2022) - [j74]Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li:
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. Neurocomputing 485: 242-251 (2022) - [j73]Xin Li, Xiaoli Li, Kang Wang:
A multi-objective evolutionary algorithm based on niche selection in solving irregular Pareto fronts. J. Intell. Fuzzy Syst. 42(6): 5863-5883 (2022) - [j72]Yujie Fu, Xiaoli Li, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng:
Incorporate opinion-towards for stance detection. Knowl. Based Syst. 246: 108657 (2022) - [j71]Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath:
Significance of activation functions in developing an online classifier for semiconductor defect detection. Knowl. Based Syst. 248: 108818 (2022) - [j70]Jiachen Shi, Gao Cong, Xiaoli Li:
Learned Index Benefits: Machine Learning Based Index Performance Estimation. Proc. VLDB Endow. 15(13): 3950-3962 (2022) - [j69]Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu:
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph. IEEE Trans. Big Data 8(3): 616-629 (2022) - [j68]Xiaoli Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen:
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 725-727 (2022) - [j67]Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li:
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Electron. 69(2): 2022-2032 (2022) - [j66]Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan:
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j65]Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Conditional Contrastive Domain Generalization for Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j64]Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiaoli Li, Jiawen Kang:
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization. IEEE Trans. Veh. Technol. 71(9): 10215-10219 (2022) - [c127]Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li:
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. AAAI 2022: 8683-8690 - [c126]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR 2022: 11265-11274 - [c125]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. EMNLP 2022: 4072-4083 - [c124]Chenyang Li, Chee Keong Kwoh, Xiaoli Li, Lingfei Mo, Ruqiang Yan:
Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network. ICARCV 2022: 678-683 - [c123]Xulei Yang, Peisheng Qian, Li Wang, Shenghao Zhao, Cen Chen, Xiaoli Li, Zeng Zeng:
Iterative Contrastive Learning for Single Image Raindrop Removal. ICIP 2022: 456-460 - [c122]Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan:
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. IJCAI 2022: 3078-3084 - [c121]Yuxiang Zhang, Tianyu Yang, Tao Jiang, Xiaoli Li, Suge Wang:
Hyperbolic Deep Keyphrase Generation. ECML/PKDD (2) 2022: 521-536 - [c120]Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li, Suge Wang:
HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance. SIGIR 2022: 1044-1054 - [i40]Yuecong Xu, Jianfei Yang, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu:
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study. CoRR abs/2202.09545 (2022) - [i39]Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. CoRR abs/2203.08321 (2022) - [i38]Yan Qin, Chau Yuen, Yimin Shao, Bo Qin, Xiaoli Li:
Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation. CoRR abs/2203.16373 (2022) - [i37]Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan:
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. CoRR abs/2205.00782 (2022) - [i36]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. CoRR abs/2205.03824 (2022) - [i35]Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation. CoRR abs/2208.05187 (2022) - [i34]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. CoRR abs/2208.06616 (2022) - [i33]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. CoRR abs/2210.06286 (2022) - [i32]Yuecong Xu, Haozhi Cao, Zhenghua Chen, Xiaoli Li, Lihua Xie, Jianfei Yang:
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey. CoRR abs/2211.10412 (2022) - [i31]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. CoRR abs/2212.01555 (2022) - [i30]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. CoRR abs/2212.02068 (2022) - 2021
- [j63]Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li:
Recent advances in network-based methods for disease gene prediction. Briefings Bioinform. 22(4) (2021) - [j62]Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. 37(16): 2432-2440 (2021) - [j61]Chuan Shi, Jiayu Ding, Xiaohuan Cao, Linmei Hu, Bin Wu, Xiaoli Li:
Entity set expansion in knowledge graph: a heterogeneous information network perspective. Frontiers Comput. Sci. 15(1): 151307 (2021) - [j60]Yujie Fu, Jian Liao, Yang Li, Suge Wang, Deyu Li, Xiaoli Li:
Multiple perspective attention based on double BiLSTM for aspect and sentiment pair extract. Neurocomputing 438: 302-311 (2021) - [j59]Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang:
Deep learning for human activity recognition. Neurocomputing 444: 214-216 (2021) - [j58]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention-based sequence to sequence model for machine remaining useful life prediction. Neurocomputing 466: 58-68 (2021) - [j57]Xin Li, Xiaoli Li, Kang Wang:
A many-objective evolutionary algorithm based on vector angle distance scaling. J. Intell. Fuzzy Syst. 40(5): 10285-10306 (2021) - [j56]Shaoru Guo, Yong Guan, Hongye Tan, Ru Li, Xiaoli Li:
Frame-based Neural Network for Machine Reading Comprehension. Knowl. Based Syst. 219: 106889 (2021) - [j55]Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hu Zhang:
Frame Semantics guided network for Abstractive Sentence Summarization. Knowl. Based Syst. 221: 106973 (2021) - [j54]Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan:
Frame-based Multi-level Semantics Representation for text matching. Knowl. Based Syst. 232: 107454 (2021) - [j53]Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li:
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 803-812 (2021) - [j52]Zhenghua Chen, Min Wu, Rui Zhao, Feri Guretno, Ruqiang Yan, Xiaoli Li:
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach. IEEE Trans. Ind. Electron. 68(3): 2521-2531 (2021) - [j51]Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 17(8): 5239-5249 (2021) - [j50]Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Adversarial Multiple-Target Domain Adaptation for Fault Classification. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j49]Jiyan Wu, Min Wu, Zhenghua Chen, Xiaoli Li, Ruqiang Yan:
Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j48]Zhenghua Chen, Min Wu, Wei Cui, Chengyu Liu, Xiaoli Li:
An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors. IEEE J. Biomed. Health Informatics 25(9): 3270-3277 (2021) - [j47]Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li:
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. IEEE J. Biomed. Health Informatics 25(10): 4041-4051 (2021) - [j46]Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li:
Multi-View Collaborative Network Embedding. ACM Trans. Knowl. Discov. Data 15(3): 39:1-39:18 (2021) - [j45]Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li:
Metagraph-Based Learning on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 33(1): 154-168 (2021) - [j44]Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie:
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. ACM Trans. Inf. Syst. 39(3): 32:1-32:29 (2021) - [c119]Hongye Tan, Xiaoyue Wang, Yu Ji, Ru Li, Xiaoli Li, Zhiwei Hu, Yunxiao Zhao, Xiaoqi Han:
GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation. ACL/IJCNLP (Findings) 2021: 1319-1330 - [c118]Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. ACL/IJCNLP (Findings) 2021: 2377-2389 - [c117]Xuefeng Su, Ru Li, Xiaoli Li, Jeff Z. Pan, Hu Zhang, Qinghua Chai, Xiaoqi Han:
A Knowledge-Guided Framework for Frame Identification. ACL/IJCNLP (1) 2021: 5230-5240 - [c116]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
A Conditional Splitting Framework for Efficient Constituency Parsing. ACL/IJCNLP (1) 2021: 5795-5807 - [c115]Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. EMBC 2021: 2115-2118 - [c114]Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hu Zhang:
Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization. EMNLP (1) 2021: 2522-2529 - [c113]Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hongye Tan:
Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization. EMNLP (1) 2021: 4045-4052 - [c112]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. IJCAI 2021: 2352-2359 - [c111]Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li:
Deep Reinforcement Learning Boosted Partial Domain Adaptation. IJCAI 2021: 3192-3199 - [c110]Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li:
SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification. ICDM (Workshops) 2021: 322-330 - [c109]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
RST Parsing from Scratch. NAACL-HLT 2021: 1613-1625 - [p2]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks. Generalization with Deep Learning 2021: 279-301 - [e2]Zhenghua Chen, Min Wu, Xiaoli Li:
Generalization with Deep Learning: For Improvement on Sensing Capability. WorldScientific 2021, ISBN 9789811218835 [contents] - [i29]Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li:
FFConv: Fast Factorized Neural Network Inference on Encrypted Data. CoRR abs/2102.03494 (2021) - [i28]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR abs/2102.08577 (2021) - [i27]Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. CoRR abs/2105.04271 (2021) - [i26]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
RST Parsing from Scratch. CoRR abs/2105.10861 (2021) - [i25]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. CoRR abs/2106.05081 (2021) - [i24]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. CoRR abs/2106.14112 (2021) - [i23]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
A Conditional Splitting Framework for Efficient Constituency Parsing. CoRR abs/2106.15760 (2021) - [i22]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. CoRR abs/2107.04470 (2021) - [i21]Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. CoRR abs/2108.06763 (2021) - [i20]Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-supervised Autoregressive Domain Adaptation for Time Series Data. CoRR abs/2111.14834 (2021) - 2020
- [j43]Zhuojia Wu, Yang Li, Jian Liao, Deyu Li, Xiaoli Li, Suge Wang:
Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification. IEEE Access 8: 29238-29248 (2020) - [j42]Zi-Chao Zhang, Xiao-Fei Zhang, Min Wu, Le Ou-Yang, Xing-Ming Zhao, Xiaoli Li:
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks. Bioinform. 36(11): 3474-3481 (2020) - [j41]Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting human microbe-drug associations via graph convolutional network with conditional random field. Bioinform. 36(19): 4918-4927 (2020) - [j40]Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Ensembling graph attention networks for human microbe-drug association prediction. Bioinform. 36(Supplement-2): i779-i786 (2020) - [j39]Hongyun Cai, Thanh Tung Nguyen, Yan Li, Vincent W. Zheng, Binbin Chen, Gao Cong, Xiaoli Li:
Modeling Marked Temporal Point Process Using Multi-relation Structure RNN. Cogn. Comput. 12(3): 499-512 (2020) - [j38]Linmei Hu, Shuqi Yu, Bin Wu, Chao Shao, Xiaoli Li:
A neural model for joint event detection and prediction. Neurocomputing 407: 376-384 (2020) - [j37]Xiaoli Li, Shan Zhang, Kang Wang:
PM2.5 Estimation Based on Image Analysis. KSII Trans. Internet Inf. Syst. 14(2): 907-923 (2020) - [j36]Hongyan Zhao, Ru Li, Xiaoli Li, Hongye Tan:
CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction. Knowl. Based Syst. 210: 106480 (2020) - [j35]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 748-757 (2020) - [j34]Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, Xiaoli Li:
Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori. IEEE Trans. Instrum. Meas. 69(7): 3992-4001 (2020) - [j33]Peng Zhang, Suge Wang, Deyu Li, Xiaoli Li, Zhikang Xu:
Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model. IEEE Trans. Knowl. Data Eng. 32(12): 2322-2335 (2020) - [c108]Shaoru Guo, Ru Li, Hongye Tan, Xiaoli Li, Yong Guan, Hongyan Zhao, Yueping Zhang:
A Frame-based Sentence Representation for Machine Reading Comprehension. ACL 2020: 891-896 - [c107]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
Efficient Constituency Parsing by Pointing. ACL 2020: 3284-3294 - [c106]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
Differentiable Window for Dynamic Local Attention. ACL 2020: 6589-6599 - [c105]Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li:
We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions. ICAPS 2020: 499-507 - [c104]Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang:
WEKE: Learning Word Embeddings for Keyphrase Extraction. APWeb/WAIM (2) 2020: 245-260 - [c103]Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM 2020: 455-459 - [c102]Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan:
Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension. COLING 2020: 2635-2641 - [c101]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Deep learning with long short-term memory networks for classification of dementia related travel patterns. EMBC 2020: 5563-5566 - [c100]Wenyue Zhang, Xiaoli Li, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng:
Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder. EMNLP (1) 2020: 3762-3767 - [c99]Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Raed M. Shubair:
Mahalanobis Distance Based Adversarial Network for Anomaly Detection. ICASSP 2020: 3192-3196 - [c98]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. ICIP 2020: 2496-2500 - [c97]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. ICPHM 2020: 1-7 - [c96]Xuefeng Su, Ru Li, Xiaoli Li:
Multi-domain Transfer Learning for Text Classification. NLPCC (1) 2020: 457-469 - [c95]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xianling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. SIGIR 2020: 169-178 - [c94]Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li:
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. WSDM 2020: 609-617 - [i19]Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li:
Multi-View Collaborative Network Embedding. CoRR abs/2005.08189 (2020) - [i18]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
Efficient Constituency Parsing by Pointing. CoRR abs/2006.13557 (2020) - [i17]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
Differentiable Window for Dynamic Local Attention. CoRR abs/2006.13561 (2020) - [i16]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. CoRR abs/2007.09868 (2020) - [i15]Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li:
Recent Advances in Network-based Methods for Disease Gene Prediction. CoRR abs/2007.10848 (2020) - [i14]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. CoRR abs/2010.15344 (2020) - [i13]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng:
Exploring Global Information for Session-based Recommendation. CoRR abs/2011.10173 (2020) - [i12]Ziyang Wang, Wei Wei, Gao Cong, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng:
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation. CoRR abs/2012.05422 (2020)
2010 – 2019
- 2019
- [j32]Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey. Briefings Bioinform. 20(4): 1337-1357 (2019) - [j31]Yang Li, Ying Lv, Suge Wang, Jiye Liang, Juanzi Li, Xiaoli Li:
Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification. Symmetry 11(2): 133 (2019) - [c93]Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li:
A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data. BHI 2019: 1-4 - [c92]Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li:
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. EMNLP/IJCNLP (1) 2019: 4820-4829 - [c91]Shudong Liu, Xiaoli Li, Shili Xiang, Min Wu:
Mobile Robot Routing with Energy Consumption Optimization. ICRAI 2019: 30-35 - [c90]Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li:
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation. SIGIR 2019: 255-264 - 2018
- [j30]Bo Zhang, Wei Li, Xiao-Li Li, See-Kiong Ng:
Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks. IEEE Access 6: 66367-66384 (2018) - [c89]Jiangtao Zhang, Juanzi Li, Xiao-Li Li, Yixin Cao, Lei Hou, Shuai Wang:
Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition. DASFAA (1) 2018: 830-846 - [c88]Sujatha Das Gollapalli, Xiaoli Li:
Using PageRank for Characterizing Topic Quality in LDA. ICTIR 2018: 115-122 - [c87]Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin:
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback. IJCAI 2018: 3463-3469 - [c86]Ali Zonoozi, Jung-Jae Kim, Xiao-Li Li, Gao Cong:
Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns. IJCAI 2018: 3732-3738 - [c85]Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou, Xiao-Li Li:
Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts. PAKDD (2) 2018: 275-287 - [c84]Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiaoli Li, Bin Wu:
A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph. PAKDD (2) 2018: 288-299 - [c83]Shili Xiang, Dong Huang, Xiaoli Li:
A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs. TENCON 2018: 695-700 - [i11]Tran Dang Quang Vinh, Tuan-Anh Nguyen Pham, Gao Cong, Xiao-Li Li:
Attention-based Group Recommendation. CoRR abs/1804.04327 (2018) - [i10]Bo Zhang, Wei Li, Jie Hao, Xiao-Li Li, Meng Zhang:
Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition. CoRR abs/1805.00778 (2018) - [i9]Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li:
Hyperbolic Recommender Systems. CoRR abs/1809.01703 (2018) - [i8]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. CoRR abs/1810.08726 (2018) - 2017
- [j29]Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha:
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250: 1-15 (2017) - [j28]Jian Liao, Suge Wang, Deyu Li, Xiaoli Li:
FREERL: Fusion relation embedded representation learning framework for aspect extraction. Knowl. Based Syst. 135: 9-17 (2017) - [j27]Fei Wang, Xiaoli Li, Jason T. L. Wang, See-Kiong Ng:
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 501-502 (2017) - [j26]Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 646-656 (2017) - [j25]Min Wu, Le Ou-Yang, Xiaoli Li:
Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 733-739 (2017) - [j24]Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li:
Network Motif Discovery: A GPU Approach. IEEE Trans. Knowl. Data Eng. 29(3): 513-528 (2017) - [j23]Lei Hou, Juanzi Li, Xiaoli Li, Jie Tang, Xiaofei Guo:
Learning to Align Comments to News Topics. ACM Trans. Inf. Syst. 36(1): 9:1-9:31 (2017) - [c82]Sujatha Das Gollapalli, Xiaoli Li, Peng Yang:
Incorporating Expert Knowledge into Keyphrase Extraction. AAAI 2017: 3180-3187 - [c81]Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao:
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. AAAI 2017: 3450-3456 - [c80]Shili Xiang, Lu Li, Si Min Lo, Xiaoli Li:
People-Centric Mobile Crowdsensing Platform for Urban Design. ADMA 2017: 569-581 - [c79]Shudong Liu, Huayu Wu, Shili Xiang, Xiaoli Li:
Mobile Robot Scheduling with Multiple Trips and Time Windows. ADMA 2017: 608-620 - [c78]Yuxiang Zhang, Yaocheng Chang, Xiaoqing Liu, Sujatha Das Gollapalli, Xiaoli Li, Chunjing Xiao:
MIKE: Keyphrase Extraction by Integrating Multidimensional Information. CIKM 2017: 1349-1358 - [c77]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li:
Learning User Dependencies for Recommendation. IJCAI 2017: 2379-2385 - [c76]Yangtao Wang, Lihui Chen, Xiaoli Li:
Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization. IJCAI 2017: 2971-2977 - [c75]Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu:
Entity Set Expansion with Meta Path in Knowledge Graph. PAKDD (1) 2017: 317-329 - [i7]Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio:
Pruning Convolutional Neural Networks for Image Instance Retrieval. CoRR abs/1707.05455 (2017) - 2016
- [j22]Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiaoli Li, Hong Yan:
A two-layer integration framework for protein complex detection. BMC Bioinform. 17: 100 (2016) - [j21]Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Drug-target interaction prediction via class imbalance-aware ensemble learning. BMC Bioinform. 17(S-19): 267-276 (2016) - [j20]Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li:
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. PLoS Comput. Biol. 12(2) (2016) - [c74]Jiangtao Zhang, Juanzi Li, Xiaoli Li, Yao Shi, Junpeng Li, Zhigang Wang:
Domain-Specific Entity Linking via Fake Named Entity Detection. DASFAA (1) 2016: 101-116 - [c73]Giduthuri Sateesh Babu, Peilin Zhao, Xiaoli Li:
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life. DASFAA (1) 2016: 214-228 - [c72]Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li:
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data. EMNLP 2016: 1817-1826 - [c71]Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li:
Semantic proximity search on graphs with metagraph-based learning. ICDE 2016: 277-288 - [c70]Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li:
Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization. ICML 2016: 1660-1669 - [c69]Xin Liu, Yong Liu, Xiaoli Li:
Exploring the Context of Locations for Personalized Location Recommendations. IJCAI 2016: 1188-1194 - [c68]G. Sateesh Babu, Xiaoli Li, Suresh Sundaram:
Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation. IJCNN 2016: 4803-4810 - [c67]Yuxiang Zhang, Lulu Wang, Xiaoli Li, Chunjing Xiao:
Social Identity Link Across Incomplete Social Information Sources Using Anchor Link Expansion. PAKDD (1) 2016: 395-408 - [c66]Lei Hou, Juan-Zi Li, Xiaoli Li, Jianbin Jin:
Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test. ECML/PKDD (2) 2016: 331-346 - [c65]Eran Shaham, Honghai Yu, Xiaoli Li:
On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach. SDM 2016: 315-323 - [c64]Peng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li, Sujatha Das Gollapalli:
Learning Correlative and Personalized Structure for Online Multi-Task Classification. SDM 2016: 666-674 - [c63]Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li:
Efficient Multi-Class Selective Sampling on Graphs. UAI 2016 - [i6]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Xiaoli Li:
Learning Optimal Social Dependency for Recommendation. CoRR abs/1603.04522 (2016) - [i5]Honghai Yu, Pierre Moulin, Hong Wei Ng, Xiaoli Li:
Variable-Length Hashing. CoRR abs/1603.05414 (2016) - [i4]Sujatha Das Gollapalli, Xiaoli Li:
Keyphrase Extraction using Sequential Labeling. CoRR abs/1608.00329 (2016) - [i3]Yangtao Wang, Lihui Chen, Xiaoli Li:
Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data. CoRR abs/1608.07001 (2016) - 2015
- [j19]Xiaoli Li, Jie Zheng:
Introduction to the CSBio2014 special issue. J. Bioinform. Comput. Biol. 13(3): 1502002:1-1502002:4 (2015) - [j18]Fan Zhang, Min Wu, Xuejuan Li, Xiaoli Li, Chee Keong Kwoh, Jie Zheng:
Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates. J. Bioinform. Comput. Biol. 13(3): 1541002:1-1541002:14 (2015) - [c62]Lei Liao, Fei Xue, Miao Lin, Xiaoli Li, Shonali Priyadarsini Krishnaswamy:
Human activity classification in people centric sensing exploiting sparseness measurement. ICICS 2015: 1-5 - [c61]Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu:
Learning Topic Hierarchies for Wikipedia Categories. ACL (2) 2015: 346-351 - [c60]Xutao Li, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan, Xiaoli Li, Shonali Krishnaswamy:
Where you Instagram?: Associating Your Instagram Photos with Points of Interest. CIKM 2015: 1231-1240 - [c59]Zhipeng Xie, Liyang Jiang, Tengju Ye, Xiaoli Li:
A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning. DASFAA (2) 2015: 3-18 - [c58]Lei Hou, Juanzi Li, Xiaoli Li, Yu Su:
Measuring the Influence from User-Generated Content to News via Cross-dependence Topic Modeling. DASFAA (1) 2015: 125-141 - [c57]Linmei Hu, Juanzi Li, Xiaoli Li, Chao Shao, Xuzhong Wang:
TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering. EMNLP 2015: 787-792 - [c56]Sujatha Das Gollapalli, Xiaoli Li:
EMNLP versus ACL: Analyzing NLP research over time. EMNLP 2015: 2002-2006 - [c55]Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li:
Network motif discovery: A GPU approach. ICDE 2015: 831-842 - [c54]Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li:
CDR-To-MoVis: Developing a Mobility Visualization System from CDR data. ICDE 2015: 1452-1455 - [c53]Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li:
An Aggressive Graph-Based Selective Sampling Algorithm for Classification. ICDM 2015: 509-518 - [c52]Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi:
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. ICDM 2015: 649-658 - [c51]Lei Liao, Xiaoli Li, Andy W. H. Khong, Xin Liu:
Analysis of the noise robustness problem and a new blind channel identification algorithm. DSP 2015: 838-842 - [c50]Shukai Li, Xiaoli Li, Whye Loon Tung, Kelvin Sim:
Behaviors and Profit Based Sales Campaign Design. ICTAI 2015: 353-360 - [c49]Jianbo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiaoli Li, Shonali Krishnaswamy:
Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition. IJCAI 2015: 3995-4001 - [c48]Girish Kumar, Jian Min Sim, Eng Yeow Cheu, Xiaoli Li:
Stochastic least squares learning for deep architectures. IJCNN 2015: 1-7 - [c47]Dong Huang, Shuguo Han, Xiaoli Li:
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy. PAKDD (2) 2015: 305-316 - [c46]Xutao Li, Gao Cong, Xiaoli Li, Tuan-Anh Nguyen Pham, Shonali Krishnaswamy:
Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation. SIGIR 2015: 433-442 - [c45]Dong Huang, Shuguo Han, Xiaoli Li, Philip S. Yu:
Orthogonal mechanism for answering batch queries with differential privacy. SSDBM 2015: 24:1-24:10 - [e1]Xiaoli Li, Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9441, Springer 2015, ISBN 978-3-319-25659-7 [contents] - [i2]Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li:
Classification and its application to drug-target interaction prediction. CoRR abs/1502.04469 (2015) - 2014
- [j17]Le Ou-Yang, Dao-Qing Dai, Xiaoli Li, Min Wu, Xiao-Fei Zhang, Peng Yang:
Detecting temporal protein complexes from dynamic protein-protein interaction networks. BMC Bioinform. 15: 335 (2014) - [j16]Min Wu, Chee Keong Kwoh, Xiaoli Li, Jie Zheng:
Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast. BMC Syst. Biol. 8: 107 (2014) - [j15]Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning:
Microbial community pattern detection in human body habitats via ensemble clustering framework. BMC Syst. Biol. 8(S-4): S7 (2014) - [c44]Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim:
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. ICPR 2014: 2631-2636 - [c43]Manoranjan Dash, Hai-Long Nguyen, Hong Cao, Ghim-Eng Yap, Minh Nhut Nguyen, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Spiros Antonatos, Yue Wang, Dang The Anh, Amy Shi Nash:
Home and Work Place Prediction for Urban Planning Using Mobile Network Data. MDM (2) 2014: 37-42 - [c42]Wei Wu, Yue Wang, João Bártolo Gomes, Dang The Anh, Spiros Antonatos, Mingqiang Xue, Peng Yang, Ghim-Eng Yap, Xiaoli Li, Shonali Krishnaswamy, James Decraene, Amy Shi Nash:
Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling. MDM (1) 2014: 321-328 - [c41]Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Hong Cao, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Amy Shi Nash:
An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data. MDM (1) 2014: 345-348 - [c40]Heidar Davoudi, Xiaoli Li, Minh Nhut Nguyen, Shonali Priyadarsini Krishnaswamy:
Activity Recognition Using a Few Label Samples. PAKDD (1) 2014: 521-532 - [c39]Sujatha Das Gollapalli, Cornelia Caragea, Xiaoli Li, C. Lee Giles:
Document Analysis and Retrieval Tasks in Scientific Digital Libraries. RuSSIR 2014: 3-20 - [c38]Hong Cao, Chunyu Bao, Xiaoli Li, David Yew-Kwong Woon:
Class Augmented Active Learning. SDM 2014: 1-9 - [p1]Xiaoli Li, Bing Liu:
Rule-Based Classification. Data Classification: Algorithms and Applications 2014: 121-156 - [i1]Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning:
Microbial community pattern detection in human body habitats via ensemble clustering framework. CoRR abs/1412.7384 (2014) - 2013
- [j14]Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng:
Drug-target interaction prediction by learning from local information and neighbors. Bioinform. 29(2): 238-245 (2013) - [j13]Henry Han, Xiaoli Li, See-Kiong Ng, Zhou Ji:
Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics. J. Bioinform. Comput. Biol. 11(6) (2013) - [j12]Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng:
Integrated Oversampling for Imbalanced Time Series Classification. IEEE Trans. Knowl. Data Eng. 25(12): 2809-2822 (2013) - [c37]Min Wu, Xuejuan Li, Fan Zhang, Xiaoli Li, Chee Keong Kwoh, Jie Zheng:
Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer. BCB 2013: 384 - [c36]Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang:
What Users Care About: A Framework for Social Content Alignment. IJCAI 2013: 1401-1407 - 2012
- [j11]Peng Yang, Xiaoli Li, Jian-Ping Mei, Chee Keong Kwoh, See-Kiong Ng:
Positive-unlabeled learning for disease gene identification. Bioinform. 28(20): 2640-2647 (2012) - [j10]Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng, Limsoon Wong:
Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data. J. Comput. Biol. 19(9): 1027-1042 (2012) - [j9]Minh Nhut Nguyen, Chunyu Bao, Kar Leong Tew, Sintiani Dewi Teddy, Xiaoli Li:
Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics. IEEE Trans. Reliab. 61(2): 303-313 (2012) - [c35]Min Wu, Chee Keong Kwoh, Jie Zheng, Xiaoli Li:
NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots. BCB 2012: 20-27 - [c34]Ghim-Eng Yap, Xiaoli Li, Philip S. Yu:
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining. DASFAA (2) 2012: 48-64 - [c33]Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng:
Ensemble Based Positive Unlabeled Learning for Time Series Classification. DASFAA (1) 2012: 243-257 - [c32]Kar Leong Tew, Minh Nhut Nguyen, Sintiani Dewi Teddy, Xiaoli Li:
Real-time adaptive classification system for intelligent sensing in manufacturing environment A feasibility study. GrC 2012: 761-766 - [c31]Hong Cao, Minh Nhut Nguyen, Clifton Phua, Shonali Krishnaswamy, Xiaoli Li:
An integrated framework for human activity classification. UbiComp 2012: 331-340 - [c30]Hong Cao, Minh Nhut Nguyen, Clifton Phua, Shonali Krishnaswamy, Xiaoli Li:
An integrated framework for human activity recognition. UbiComp 2012: 621-622 - [c29]Zhiqiang Toh, Wenting Wang, Man Lan, Xiaoli Li:
An NER-based Product Identification and Lucene-based Product Linking Approach to CPROD1 Challenge: Description of Submission System to CPROD1 Challenge. ICDM Workshops 2012: 869-871 - [c28]Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng:
Globalized bipartite local model for drug-target interaction prediction. BIOKDD 2012: 8-14 - 2011
- [j8]Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu:
Construction of co-complex score matrix for protein complex prediction from AP-MS data. Bioinform. 27(13): 159-166 (2011) - [j7]Henry Han, Xiaoli Li:
Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery. BMC Bioinform. 12(S-1): S7 (2011) - [c27]Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li:
Integrating Community Question and Answer Archives. AAAI 2011: 1255-1260 - [c26]Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng:
ECODE: Event-Based Community Detection from Social Networks. DASFAA (1) 2011: 22-37 - [c25]Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng:
SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification. ICDM 2011: 1008-1013 - [c24]Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng:
Positive Unlabeled Leaning for Time Series Classification. IJCAI 2011: 1421-1426 - 2010
- [j6]Min Wu, Xiaoli Li, Hon Nian Chua, Chee Keong Kwoh, See-Kiong Ng:
Integrating diverse biological and computational sources for reliable protein-protein interactions. BMC Bioinform. 11(S-7): S8 (2010) - [c23]Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng:
Distributional Similarity vs. PU Learning for Entity Set Expansion. ACL (2) 2010: 359-364 - [c22]Chinh T. T. Su, Stephanus Daniel Handoko, Chee Keong Kwoh, Christian Schönbach, Xiaoli Li:
A possible mutation that enables H1N1 influenza a virus to escape antibody recognition. BIBM 2010: 81-84 - [c21]Xiaoli Li, Bing Liu, See-Kiong Ng:
Negative Training Data Can be Harmful to Text Classification. EMNLP 2010: 218-228
2000 – 2009
- 2009
- [j5]Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng:
A core-attachment based method to detect protein complexes in PPI networks. BMC Bioinform. 10 (2009) - [c20]Xiaoli Li, Chuan Sheng Foo, Kar Leong Tew, See-Kiong Ng:
Searching for Rising Stars in Bibliography Networks. DASFAA 2009: 288-292 - [c19]Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng:
Positive Unlabeled Learning for Data Stream Classification. SDM 2009: 259-270 - [r1]Xiaoli Li:
Positive Unlabelled Learning for Document Classification. Encyclopedia of Data Warehousing and Mining 2009: 1552-1557 - 2008
- [j4]Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng:
Inferring Transcription Factor interactions using a novel HV-SVM classifier. Int. J. Comput. Biol. Drug Des. 1(1): 59-73 (2008) - [c18]Hon Nian Chua, Kar Leong Tew, Xiaoli Li, See-Kiong Ng:
A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks. ICTAI (2) 2008: 66-73 - 2007
- [c17]Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng:
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations. BIBE 2007: 1360-1364 - [c16]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Classify Documents with Only a Small Positive Training Set. ECML 2007: 201-213 - [c15]Rui Xu, Xiaoli Li, Xiaomin Song, Gang Liu:
The Analysis of Bullwhip Effect in Supply Chain Based on Strategic Alliance. I3E (1) 2007: 452-458 - [c14]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Identify Unexpected Instances in the Test Set. IJCAI 2007: 2802-2807 - 2006
- [j3]Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng:
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method. BMC Bioinform. 7(S-4) (2006) - [j2]Xiaoli Li, Soon-Heng Tan, See-Kiong Ng:
Improving domain-based protein interaction prediction using biologically-significant negative dataset. Int. J. Data Min. Bioinform. 1(2): 138-149 (2006) - [c13]Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng:
Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data. IMSCCS (1) 2006: 171-178 - 2005
- [c12]Xiaoli Li, Bing Liu:
Learning from Positive and Unlabeled Examples with Different Data Distributions. ECML 2005: 218-229 - [c11]Xiaoli Li, Soon-Heng Tan, See-Kiong Ng:
Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset. ICCSA (3) 2005: 318-326 - 2004
- [c10]Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Text Classification by Labeling Words. AAAI 2004: 425-430 - [c9]Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong:
Classifying Biomedical Citations without Labeled Training Examples. ICDM 2004: 455-458 - [c8]Xiaoli Li, Bing Liu:
Dealing with different distributions in learning from. WWW (Alternate Track Papers & Posters) 2004: 440-441 - 2003
- [c7]Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Building Text Classifiers Using Positive and Unlabeled Examples. ICDM 2003: 179-188 - [c6]Xiaoli Li, Bing Liu:
Learning to Classify Texts Using Positive and Unlabeled Data. IJCAI 2003: 587-594 - [c5]Lan Yi, Bing Liu, Xiaoli Li:
Eliminating noisy information in Web pages for data mining. KDD 2003: 296-305 - 2002
- [j1]Xiaoli Li, Zhongzhi Shi:
Innovating Web Page Classification Through Reducing Noise. J. Comput. Sci. Technol. 17(1): 9-17 (2002) - [c4]Xiaoli Li, Tong-Heng Phang, Minqing Hu, Bing Liu:
Using micro information units for internet search. CIKM 2002: 566-573 - [c3]Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li:
Partially Supervised Classification of Text Documents. ICML 2002: 387-394 - [c2]Haoran Wu, Tong-Heng Phang, Bing Liu, Xiaoli Li:
A refinement approach to handling model misfit in text categorization. KDD 2002: 207-216 - 2000
- [c1]Xiaoli Li, Jimin Liu, Zhongzhi Shi:
A Document Classifier Based on Word Semantic Association. PRICAI 2000: 824
Coauthor Index
[j119] [j117] [j116] [c158] [i83] [j114] [j113] [j111] [j109] [j108] [j107] [j106] [j105] [j102] [j101] [j99] [j98] [c156] [c155] [c146] [c142] [i74] [i72] [i71] [i70] [i69] [i66] [i65] [i64] [j93] [j91] [j85] [j83] [j81] [j79] [j78] [c141] [c133] [c130] [c128] [i59] [i58] [i57] [i50] [i49] [i48] [i46] [i45] [i42] [j76] [j74] [j68] [j67] [j66] [j65] [j64] [c127] [i40] [i39] [i36] [i35] [i34] [i33] [i32] [i31] [j59] [j58] [j53] [j52] [j51] [j50] [j49] [j48] [c112] [c111] [p2] [e2] [i24] [i22] [i20] [j34] [c101] [c99] [c97] [i16] [c93]
Shonali Krishnaswamy
aka: Shonali Priyadarsini Krishnaswamy
aka: Shonali Priyadarsini Krishnaswamy
J. Senthilnath 0001
aka: Senthilnath Jayavelu
aka: Senthilnath Jayavelu
[j119] [j117] [j116] [c158] [i83] [i82] [j111] [j109] [j108] [j107] [j106] [j105] [j102] [j101] [j99] [j98] [c156] [c155] [c151] [c146] [c142] [i77] [i76] [i74] [i72] [i71] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [j96] [j95] [j93] [j91] [j85] [j83] [j81] [j79] [j78] [c141] [c133] [c132] [c130] [c128] [i59] [i58] [i50] [i49] [i48] [i47] [i46] [i45] [i42] [j77] [j76] [j74] [j71] [j68] [j67] [j66] [j65] [j64] [c127] [i39] [i36] [i35] [i34] [i33] [i31] [j63] [j62] [j59] [j58] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [c112] [c111] [p2] [e2] [i24] [i22] [i20] [j42] [j41] [j40] [j35] [j34] [c103] [c101] [c99] [c97] [i19] [i16] [i15] [j32] [c93] [c91] [i8] [j26] [j25] [c77] [j22] [j21] [j20] [c71] [i6] [j18] [c52] [j17] [j16] [c37] [j10] [c35] [j8] [j6] [j5]
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