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2020 – today
- 2025
[j111]Adnan Ali, Jinlong Li, Huanhuan Chen, Ali Kashif Bashir:
From overfitting to robustness: Quantity, quality, and variety oriented negative sample selection in graph contrastive learning. Appl. Soft Comput. 170: 112672 (2025)- [j110]Zhenchao Tao, Yanze Gao, Yijia Sun, Qiang Tu, Fei Gao, Lyuzhou Chen, Wei Wang, Huanhuan Chen:
Active differentiable structure learning for clinical causal discovery. Knowl. Based Syst. 327: 114145 (2025) - [j109]Ao Chen, Xiren Zhou, Yizhan Fan, Huanhuan Chen:
Anomaly Detection in Multi-Level Model Space. IEEE Trans. Big Data 11(5): 2376-2387 (2025) - [j108]Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Derui Lyu, Xi Fan, Huanhuan Chen:
Harnessing the Power of Knowledge Graphs to Improve Causal Discovery. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2256-2268 (2025) - [j107]Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Qinrui Zhu, Huanhuan Chen:
LLM-Driven Causal Discovery via Harmonized Prior. IEEE Trans. Knowl. Data Eng. 37(4): 1943-1960 (2025) - [j106]Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Derui Lyu, Qinrui Zhu, Huanhuan Chen:
Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge. IEEE Trans. Knowl. Data Eng. 37(5): 2695-2711 (2025) - [j105]Shikang Liu, Xiren Zhou, Huanhuan Chen:
Multiscale Temporal Dynamic Learning for Time Series Classification. IEEE Trans. Knowl. Data Eng. 37(6): 3543-3555 (2025) - [j104]Liangwei Chen, Xiren Zhou, Qiuju Chen, Fang Xiong, Huanhuan Chen:
Investigating the Effective Dynamic Information of Spectral Shapes for Audio Classification. IEEE Trans. Multim. 27: 1114-1126 (2025) - [j103]Yubin Xiao, Di Wang, Boyang Li, Huanhuan Chen, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou:
Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems. IEEE Trans. Neural Networks Learn. Syst. 36(7): 13402-13416 (2025) - [c50]Ao Chen, Xiren Zhou, Huanhuan Chen:
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space. AAAI 2025: 15731-15739 - [c49]Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yijia Sun, Kangtao Hu, Xiangyu Wang, Huanhuan Chen:
Continuous Structure Constraint Integration for Robust Causal Discovery. AISTATS 2025: 3160-3168 - [c48]Xingjian Lin, Shengfei Lyu, Xin Wang, Qiuju Chen, Huanhuan Chen:
Generation-Augmented and Embedding Fusion in Document-Level Event Argument Extraction. COLING 2025: 4078-4084 - [c47]Xinjia Yu, Xin Zhou, Shengfei Lyu, Xiaoqiao Wang, Huanhuan Chen, Chunyan Miao:
Report Friendly: An Interface Design for an LLM-Empowered ESG Report Generation System. HCI (56) 2025: 226-241 - [c46]Xinyu Chen, Jinlong Li, Faiza Amin, Huanhuan Chen:
Characterizing Trainability, Expressivity and Generalization of Neural Architecture with Metrics from Neural Tangent Kernel. ICANN (1) 2025: 55-67 - [c45]Ziyu Tang, Xiren Zhou, Ao Chen, Shikang Liu, Chuyang Wei, Huanhuan Chen:
Inside and Inside: Efficient Anomaly Detection by Fully Capturing the Detailed Dynamics. ICASSP 2025: 1-5 - [c44]Ziyu Tang, Xiren Zhou, Shikang Liu, Chuyang Wei, Ao Chen, Huanhuan Chen:
Learning in the Model Space: Fault Diagnosis by Co-objective Learning in DynInt Model Space. ICASSP 2025: 1-5 - [c43]Chengfei Wang, Xiangyu Wang, Huanhuan Chen:
Instruction Tuning with Data Augmentation for Event Argument Extraction. ICIC (23) 2025: 257-268 - [c42]Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen:
Expanding the Category of Classifiers with LLM Supervision. IJCAI 2025: 5905-5913 - [c41]Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao:
Enhancing Counterfactual Estimation: A Focus on Temporal Treatments. IJCAI 2025: 6442-6450 - [c40]Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen:
Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space. IJCAI 2025: 7200-7208 - [c39]Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen:
Fault Diagnosis in REDNet Model Space. IJCAI 2025: 7209-7217 - [i23]Xiren Zhou, Shikang Liu, Xinyu Yan, Yizhan Fan, Xiangyu Wang, Yu Kang, Jiancheng Lv, Huanhuan Chen:
Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis. CoRR abs/2504.18802 (2025) - 2024
- [j102]Adnan Ali, Jinlong Li, Huanhuan Chen:
Heterogeneous data augmentation in graph contrastive learning for effective negative samples. Comput. Electr. Eng. 118: 109304 (2024) - [j101]Muhammad Usman, Huanhuan Chen:
Bin.INI: An ensemble approach for dynamic data streams. Expert Syst. Appl. 256: 124853 (2024) - [j100]Shengfei Lyu, Linghao Sun, Huixiong Yi, Yong Liu, Huanhuan Chen, Chunyan Miao:
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition. Int. J. Crowd Sci. 8(3): 140-148 (2024) - [j99]Jinpeng Du, Xiren Zhou, Huanhuan Chen:
Enhanced Change Detection in Unregistered Images With CNNs and Attention GANs. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j98]Ao Chen, Xiren Zhou, Yizhan Fan, Huanhuan Chen:
Underground Diagnosis Based on GPR and Learning in the Model Space. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3832-3844 (2024) - [j97]Xuan Wu, Di Wang, Huanhuan Chen, Lele Yan, Yubin Xiao, Chunyan Miao, Hongwei Ge, Dong Xu, Yanchun Liang, Kangping Wang, Chunguo Wu, You Zhou:
Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming. IEEE Trans. Evol. Comput. 28(3): 638-652 (2024) - [j96]Shengfei Lyu, Xiren Zhou, Xingyu Wu, Qiuju Chen, Huanhuan Chen:
Self-Attention Over Tree for Relation Extraction With Data-Efficiency and Computational Efficiency. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1253-1263 (2024) - [j95]Muhammad Usman, Huanhuan Chen:
Intensive Class Imbalance Learning in Drifting Data Streams. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3503-3517 (2024) - [j94]Shikang Liu, Xiren Zhou, Huanhuan Chen:
From Data to D3 Model: Adaptive Subsurface Anomaly Detection in GPR Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j93]Derui Lyu, Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Qinrui Zhu, Xiren Zhou, Huanhuan Chen:
Leveraging Multisource Label Learning for Underground Object Recognition. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j92]Chuyang Wei, Xiren Zhou, Shikang Liu, Huanhuan Chen:
Enhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - [j91]Yunhui Zhu, Buliao Huang, Yizhan Fan, Muhammad Usman, Huanhuan Chen:
Iterative Polygon Deformation for Building Extraction. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j90]Lyuzhou Chen, Xiangyu Wang, Taiyu Ban, Muhammad Usman, Shikang Liu, Derui Lyu, Huanhuan Chen:
Research Ideas Discovery via Hierarchical Negative Correlation. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1639-1650 (2024) - [j89]Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Xingyu Wu, Qiuju Chen, Huanhuan Chen:
Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1980-1992 (2024) - [j88]Bingbing Jiang, Xingyu Wu, Xiren Zhou, Yi Liu, Anthony G. Cohn, Weiguo Sheng, Huanhuan Chen:
Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3615-3629 (2024) - [j87]Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xingyu Wu, Derui Lyu, Huanhuan Chen:
Knowledge Verification From Data. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4324-4338 (2024) - [j86]Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao:
A Survey on Reinforcement Learning for Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13164-13184 (2024) - [j85]Yajing Kong, Liu Liu, Huanhuan Chen, Janusz Kacprzyk, Dacheng Tao:
Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16196-16210 (2024) - [j84]Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Muhammad Usman, Yifeng Guan, Derui Lyu, Jian Cheng, Huanhuan Chen, Cyril Leung, Chunyan Miao:
Decentralised Knowledge Graph Evolution via Blockchain. IEEE Trans. Serv. Comput. 17(1): 169-182 (2024) - [c38]Liangwei Chen, Xiren Zhou, Huanhuan Chen:
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification. AAAI 2024: 11355-11363 - [c37]Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen:
Constructing a Knowledge-Guided Mental Health Chatbot with LLMs. ACML 2024: 287-302 - [c36]Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen:
A Dual-module Framework for Counterfactual Estimation over Time. ICML 2024 - [c35]Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen:
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data. IJCAI 2024: 5662-5670 - [c34]Qinrui Zhu, Derui Lyu, Xi Fan, Xiangyu Wang, Qiang Tu, Yibin Zhan, Huanhuan Chen:
Multi-Model Consistency for LLMs' Evaluation. IJCNN 2024: 1-8 - [c33]Liangwei Chen, Xiren Zhou, Qiang Tu, Huanhuan Chen:
Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features. INTERSPEECH 2024 - [c32]Runlai Hao, Jinlong Li, Qiuju Chen, Huanhuan Chen:
DualStyle3D: Real-time Exemplar-based Artistic Portrait View Synthesis Based on Radiance Field. ICMR 2024: 869-877 - [c31]Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Xin Wang, Derui Lyu, Huanhuan Chen:
Differentiable Structure Learning with Partial Orders. NeurIPS 2024 - [i22]Adnan Ali, Jinlong Li, Huanhuan Chen, Ali Kashif Bashir:
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning. CoRR abs/2406.15044 (2024) - [i21]Changcheng Li, Xiangyu Wang, Qiuju Chen, Xiren Zhou, Huanhuan Chen:
MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM. CoRR abs/2412.03987 (2024) - 2023
- [j83]Ziqiang Li, Muhammad Usman, Rentuo Tao, Pengfei Xia, Chaoyue Wang, Huanhuan Chen, Bin Li:
A Systematic Survey of Regularization and Normalization in GANs. ACM Comput. Surv. 55(11): 232:1-232:37 (2023) - [j82]Adnan Ali, Jinlong Li, Huanhuan Chen, Uzair Aslam Bhatti, Asad Khan:
Real-Time Spammers Detection Based on Metadata Features with Machine Learning. Intell. Autom. Soft Comput. 38(3): 241-258 (2023) - [j81]Xin Wang, Shengfei Lyu, Xiangyu Wang, Xingyu Wu, Huanhuan Chen:
Temporal knowledge graph embedding via sparse transfer matrix. Inf. Sci. 623: 56-69 (2023) - [j80]Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Muhammad Usman, Tianhao Wu, Qiuju Chen, Huanhuan Chen:
A distribution-based representation of Knowledge Quality. Knowl. Based Syst. 281: 111054 (2023) - [j79]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4964-4980 (2023) - [j78]Xiangyu Wang, Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yifeng Guan, Xingyu Wu, Xiren Zhou, Huanhuan Chen:
Accurate Label Refinement From Multiannotator of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j77]Xiren Zhou, Ao Chen, Muhammad Usman, Qiuju Chen, Fang Xiong, Jibing Wu, Huanhuan Chen:
Underground Pipeline Mapping From Multipositional Data: Data Acquisition Platform and Pipeline Mapping Model. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j76]Xiren Zhou, Shikang Liu, Ao Chen, Qiuju Chen, Fang Xiong, Yumin Wang, Huanhuan Chen:
Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j75]Lei Li, Mengjiao Yan, Zhenchao Tao, Huanhuan Chen, Xindong Wu:
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location. ACM Trans. Knowl. Discov. Data 17(1): 6:1-6:26 (2023) - [j74]Lei Li, Zhiyuan Liu, Zan Zhang, Huanhuan Chen, Xindong Wu:
Three-way Preference Completion via Preference Graph. ACM Trans. Knowl. Discov. Data 17(6): 89:1-89:19 (2023) - [j73]Buliao Huang, Yunhui Zhu, Muhammad Usman, Xiren Zhou, Huanhuan Chen:
Graph Neural Networks for Missing Value Classification in a Task-Driven Metric Space. IEEE Trans. Knowl. Data Eng. 35(8): 8073-8084 (2023) - [j72]Xinyan Zhao, Xiao Feng, Huanhuan Chen:
A Background Knowledge Revising and Incorporating Dialogue Model. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3874-3884 (2023) - [j71]Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing, Chunyan Miao:
Brain-Inspired Search Engine Assistant Based on Knowledge Graph. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4386-4400 (2023) - [j70]Xinyan Zhao, Liangwei Chen, Huanhuan Chen:
A Weighted Heterogeneous Graph-Based Dialog System. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5212-5217 (2023) - [j69]Xingyu Wu, Bingbing Jiang, Xiangyu Wang, Taiyu Ban, Huanhuan Chen:
Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6740-6754 (2023) - [j68]Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu:
Multicomponent Adversarial Domain Adaptation: A General Framework. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6824-6838 (2023) - [j67]Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu:
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6940-6954 (2023) - [c30]Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen:
Practical Markov Boundary Learning without Strong Assumptions. AAAI 2023: 10388-10398 - [c29]Jun Yao, Huanhuan Chen:
Adaptive Nonlinear Dimensionality Reduction with a Local Metric. SoICT 2023: 141-148 - [i20]Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Derui Lyu, Huanhuan Chen:
Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge. CoRR abs/2306.07032 (2023) - [i19]Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Huanhuan Chen:
From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data. CoRR abs/2306.16902 (2023) - [i18]Yubin Xiao, Di Wang, Huanhuan Chen, Boyang Li, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou:
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems. CoRR abs/2308.00560 (2023) - [i17]Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Huanhuan Chen:
Causal Structure Learning Supervised by Large Language Model. CoRR abs/2311.11689 (2023) - 2022
- [j66]Adnan Ali, Jinlong Li, Huanhuan Chen, Ali Kashif Bashir:
Temporal pattern mining from user-generated content. Digit. Commun. Networks 8(6): 1027-1039 (2022) - [j65]Lei Li, Minghe Xue, Zan Zhang, Huanhuan Chen, Xindong Wu:
Certainty-based Preference Completion. Data Intell. 4(1): 112-133 (2022) - [j64]Jiarun Zhu, Xingyu Wu, Muhammad Usman, Xiangyu Wang, Huanhuan Chen:
Link Prediction in Continuous-Time Dynamic Heterogeneous Graphs with Causality of Event Types. Int. J. Crowd Sci. 6(2): 80-91 (2022) - [j63]Xingyu Wu, Zhenchao Tao, Bingbing Jiang, Tianhao Wu, Xin Wang, Huanhuan Chen:
Domain knowledge-enhanced variable selection for biomedical data analysis. Inf. Sci. 606: 469-488 (2022) - [j62]Bingbing Jiang, Junhao Xiang, Xingyu Wu, Yadi Wang, Huanhuan Chen, Weiwei Cao, Weiguo Sheng:
Robust multi-view learning via adaptive regression. Inf. Sci. 610: 916-937 (2022) - [j61]Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen:
Ellipse Inversion Model for Estimating the Orientation and Radius of Pipes From GPR Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8299-8308 (2022) - [j60]Gangqiang Hu, Shengfei Lyu, Xingyu Wu, Jinlong Li, Huanhuan Chen:
Contextual-Aware Information Extractor with Adaptive Objective for Chinese Medical Dialogues. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(5): 96:1-96:21 (2022) - [j59]Yijun Bian, Huanhuan Chen:
When Does Diversity Help Generalization in Classification Ensembles? IEEE Trans. Cybern. 52(9): 9059-9075 (2022) - [j58]Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao:
Auxiliary Learning for Relation Extraction. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 182-191 (2022) - [j57]Lei Li, Ping Ding, Huanhuan Chen, Xindong Wu:
Frequent Pattern Mining in Big Social Graphs. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 638-648 (2022) - [j56]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) - [j55]Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen:
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 883-892 (2022) - [j54]Guanfeng Liu, An Liu, Qing Li, Huanhuan Chen, Deepak Puthal:
Guest Editorial Special Issue on Computational Intelligence in Big Graph Data Management. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1027-1029 (2022) - [j53]Xiren Zhou, Qiuju Chen, Bingbing Jiang, Huanhuan Chen:
An Underground Pipeline Mapping Method Based on Fusion of Multisource Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j52]Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen:
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j51]Yunhui Zhu, Buliao Huang, Jian Gao, Enxing Huang, Huanhuan Chen:
Adaptive Polygon Generation Algorithm for Automatic Building Extraction. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j50]Xiangyu Wang, Yuan Li, Taiyu Ban, Jiarun Zhu, Lyuzhou Chen, Muhammad Usman, Xin Wang, Huanhuan Chen, Xiaomei Chen, Cyril Leung, Chunyan Miao:
Dynamic Link Prediction for Discovery of New Impactful COVID-19 Research Approaches. IEEE J. Biomed. Health Informatics 26(12): 5883-5894 (2022) - [j49]Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Subarchitecture Ensemble Pruning in Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7928-7936 (2022) - [c28]Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen:
Nonlinear Causal Discovery in Time Series. CIKM 2022: 4575-4579 - [c27]Xin Wang, Shengfei Lyu, Xingyu Wu, Tianhao Wu, Huanhuan Chen:
Generalization Bounds for Estimating Causal Effects of Continuous Treatments. NeurIPS 2022 - [c26]Yunhui Zhu, Buliao Huang, Xiren Zhou, Huanhuan Chen:
Level-wise Dynamic Label Assignment for Oriented Object Detection. SSCI 2022: 1304-1311 - [c25]Buliao Huang, Yunhui Zhu, Xiren Zhou, Huanhuan Chen:
Conditional Inpainting Generative Flow. SSCI 2022: 1312-1318 - [i16]Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen:
Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model. CoRR abs/2201.10184 (2022) - [i15]Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen:
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression. CoRR abs/2201.11253 (2022) - [i14]Xiren Zhou, Shikang Liu, Ao Chen, Yizhan Fan, Huanhuan Chen:
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data. CoRR abs/2210.11833 (2022) - [i13]Ao Chen, Xiren Zhou, Yizhan Fan, Huanhuan Chen:
Underground Diagnosis Based on GPR and Learning in the Model Space. CoRR abs/2211.15480 (2022) - 2021
- [j48]Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen:
Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition. Inf. Sci. 571: 262-278 (2021) - [j47]Weibo Shu, Yaqiang Yao, Shengfei Lyu, Jinlong Li, Huanhuan Chen:
Short isometric shapelet transform for binary time series classification. Knowl. Inf. Syst. 63(8): 2023-2051 (2021) - [j46]Peng Zhang, Jinlong Li, Tengfei Li, Huanhuan Chen:
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes. IEEE Trans. Evol. Comput. 25(2): 334-345 (2021) - [j45]Weijie Zheng, Huanhuan Chen, Xin Yao:
Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property. IEEE Trans. Evol. Comput. 25(4): 696-709 (2021) - [j44]Yaqiang Yao, Huanhuan Chen, Xin Yao:
Discriminative Learning in the Model Space for Symbolic Sequence Classification. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 154-167 (2021) - [j43]Yang Li, Bingbing Jiang, Huanhuan Chen, Xin Yao:
Symbolic Sequence Classification in the Fractal Space. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 168-177 (2021) - [j42]Caijun Ren, Xiangyu Wang, Jian Gao, Xiren Zhou, Huanhuan Chen:
Unsupervised Change Detection in Satellite Images With Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 59(12): 10047-10061 (2021) - [j41]Yaqiang Yao, Yang Li, Bingbing Jiang, Huanhuan Chen:
Multiple Kernel k-Means Clustering by Selecting Representative Kernels. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4983-4996 (2021) - [c24]Weijie Zheng, Huanhuan Chen, Xin Yao:
Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021). GECCO Companion 2021: 47-48 - [c23]Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao:
When non-elitism meets time-linkage problems. GECCO 2021: 741-749 - [c22]Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen:
Multi-Label Local-to-Global Feature Selection. IJCNN 2021: 1-8 - [i12]Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao:
When Non-Elitism Meets Time-Linkage Problems. CoRR abs/2104.06831 (2021) - [i11]Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen:
Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition. CoRR abs/2105.09045 (2021) - 2020
- [j40]Qingyuan Wu, Xiren Zhou, Huanhuan Chen:
Underground Pipeline Mapping Based on Dirichlet Process Mixture Model. IEEE Access 8: 118114-118124 (2020) - [j39]Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang:
Weighted partial order oriented three-way decisions under score-based common voting rules. Int. J. Approx. Reason. 123: 41-54 (2020) - [j38]Bo Yuan, Bin Li, Huanhuan Chen, Zhigang Zeng, Xin Yao:
Multi-objective redundancy hardening with optimal task mapping for independent tasks on multi-cores. Soft Comput. 24(2): 981-995 (2020) - [j37]Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen:
Accurate Markov Boundary Discovery for Causal Feature Selection. IEEE Trans. Cybern. 50(12): 4983-4996 (2020) - [j36]Bo Yuan, Huanhuan Chen, Xin Yao:
Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems. IEEE Trans. Evol. Comput. 24(1): 157-169 (2020) - [j35]Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen:
Multiclass Probabilistic Classification Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3906-3919 (2020) - [c21]Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao:
Multi-Label Causal Feature Selection. AAAI 2020: 6430-6437 - [c20]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Tolerant Markov Boundary Discovery for Feature Selection. CIKM 2020: 2261-2264 - [c19]Tong Zhang, Di Wang, Huanhuan Chen, Zhiwei Zeng, Wei Guo, Chunyan Miao, Lizhen Cui:
BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection. IJCNN 2020: 1-8 - [i10]Weijie Zheng, Huanhuan Chen, Xin Yao:
Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property. CoRR abs/2004.12304 (2020) - [i9]Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen:
Probabilistic Classification Vector Machine for Multi-Class Classification. CoRR abs/2006.15791 (2020) - [i8]Caijun Ren, Xiangyu Wang, Jian Gao, Huanhuan Chen:
Unsupervised Change Detection in Satellite Images with Generative Adversarial Network. CoRR abs/2009.03630 (2020) - [i7]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables. CoRR abs/2011.04176 (2020) - [i6]Lei Li, Minghe Xue, Huanhuan Chen, Xindong Wu:
Trustworthy Preference Completion in Social Choice. CoRR abs/2012.07228 (2020) - [i5]Peng Zhang, Jinlong Li, Tengfei Li, Huanhuan Chen:
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes. CoRR abs/2012.08063 (2020) - [i4]Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing, Chunyan Miao:
Brain-inspired Search Engine Assistant based on Knowledge Graph. CoRR abs/2012.13529 (2020)
2010 – 2019
- 2019
- [j34]Guiping Jiang, Xiren Zhou, Jinlong Li, Huanhuan Chen:
A Cable-Mapping Algorithm Based on Ground-Penetrating Radar. IEEE Geosci. Remote. Sens. Lett. 16(10): 1630-1634 (2019) - [j33]Zhichen Gong, Huanhuan Chen, Bo Yuan, Xin Yao:
Multiobjective Learning in the Model Space for Time Series Classification. IEEE Trans. Cybern. 49(3): 918-932 (2019) - [j32]Xiren Zhou, Huanhuan Chen, Tong Hao:
Efficient Detection of Buried Plastic Pipes by Combining GPR and Electric Field Methods. IEEE Trans. Geosci. Remote. Sens. 57(6): 3967-3979 (2019) - [j31]Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao, Huanhuan Chen:
Probabilistic Feature Selection and Classification Vector Machine. ACM Trans. Knowl. Discov. Data 13(2): 21:1-21:27 (2019) - [j30]Junyuan Hong, Yang Li, Huanhuan Chen:
Variant Grassmann Manifolds: A Representation Augmentation Method for Action Recognition. ACM Trans. Knowl. Discov. Data 13(2): 23:1-23:23 (2019) - [j29]Xiren Zhou, Huanhuan Chen, Jinlong Li:
Probabilistic Mixture Model for Mapping the Underground Pipes. ACM Trans. Knowl. Discov. Data 13(5): 47:1-47:26 (2019) - [j28]Kui Yu, Huanhuan Chen:
Markov Boundary-Based Outlier Mining. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1259-1264 (2019) - [j27]Yang Li, Junyuan Hong, Huanhuan Chen:
Short Sequence Classification Through Discriminable Linear Dynamical System. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3396-3408 (2019) - [c18]Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen:
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI 2019: 3983-3990 - [i3]Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Sub-Architecture Ensemble Pruning in Neural Architecture Search. CoRR abs/1910.00370 (2019) - 2018
- [j26]Zhichen Gong, Huanhuan Chen:
Sequential data classification by dynamic state warping. Knowl. Inf. Syst. 57(3): 545-570 (2018) - [j25]Yaqiang Yao, Yan Liu, Zhenyu Liu, Huanhuan Chen:
Human Activity Recognition with Posture Tendency Descriptors on Action Snippets. IEEE Trans. Big Data 4(4): 530-541 (2018) - [j24]Xiren Zhou, Huanhuan Chen, Jinlong Li:
An Automatic GPR B-Scan Image Interpreting Model. IEEE Trans. Geosci. Remote. Sens. 56(6): 3398-3412 (2018) - [j23]Huanhuan Chen, Bingbing Jiang, Xin Yao:
Semisupervised Negative Correlation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5366-5379 (2018) - [j22]Bingbing Jiang, Zhengyu Li, Huanhuan Chen, Anthony G. Cohn:
Latent Topic Text Representation Learning on Statistical Manifolds. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5643-5654 (2018) - [j21]Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao:
Efficient Cluster-Based Boosting for Semisupervised Classification. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5667-5680 (2018) - [j20]Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen:
Mining Markov Blankets Without Causal Sufficiency. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6333-6347 (2018) - [e1]Xindong Wu, Yew-Soon Ong, Charu C. Aggarwal, Huanhuan Chen:
2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-9125-0 [contents] - 2017
- [j19]Xindong Wu, Huanhuan Chen, Jun Liu, Gong-Qing Wu, Ruqian Lu, Nanning Zheng:
Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project. IEEE Access 5: 12696-12701 (2017) - [j18]Bo Yuan, Huanhuan Chen, Xin Yao:
Optimal relay placement for lifetime maximization in wireless underground sensor networks. Inf. Sci. 418: 463-479 (2017) - [j17]Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao:
A Cluster-Based Semisupervised Ensemble for Multiclass Classification. IEEE Trans. Emerg. Top. Comput. Intell. 1(6): 408-420 (2017) - [j16]Bingbing Jiang, Huanhuan Chen, Bo Yuan, Xin Yao:
Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model. IEEE Trans. Knowl. Data Eng. 29(12): 2758-2771 (2017) - [c17]Liangang Zhang, Yang Li, Huanhuan Chen:
An Effective Martin Kernel for Time Series Classification. ICONIP (1) 2017: 384-393 - 2016
- [j15]Bo Yuan, Bin Li, Huanhuan Chen, Xin Yao:
Defect- and Variation-Tolerant Logic Mapping in Nanocrossbar Using Bipartite Matching and Memetic Algorithm. IEEE Trans. Very Large Scale Integr. Syst. 24(9): 2813-2826 (2016) - [c16]Yang Li, Junyuan Hong, Huanhuan Chen:
Sequential Data Classification in the Space of Liquid State Machines. ECML/PKDD (1) 2016: 313-328 - [i2]Chang Li, Huanhuan Chen, Xin Yao:
Probabilistic Feature Selection and Classification Vector Machine. CoRR abs/1609.05486 (2016) - 2015
- [j14]Xindong Wu, Huanhuan Chen, Gong-Qing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou, Zhong-Qiu Zhao, Bifan Wei, Yang Li, Qiping Zhang, Shichao Zhang:
Knowledge Engineering with Big Data. IEEE Intell. Syst. 30(5): 46-55 (2015) - [j13]Shan He, Huanhuan Chen, Zexuan Zhu, Douglas G. Ward, Helen J. Cooper, Mark R. Viant, John K. Heath, Xin Yao:
Robust twin boosting for feature selection from high-dimensional omics data with label noise. Inf. Sci. 291: 1-18 (2015) - [j12]Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen:
The Benefits of Modeling Slack Variables in SVMs. Neural Comput. 27(4): 954-981 (2015) - [j11]Bo Yuan, Bin Li, Huanhuan Chen, Xin Yao:
A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem. IEEE Trans. Cybern. 45(5): 1040-1053 (2015) - [c15]Huanhuan Chen, Fengzhen Tang, Peter Tiño, Anthony G. Cohn, Xin Yao:
Model Metric Co-Learning for Time Series Classification. IJCAI 2015: 3387-3394 - 2014
- [j10]Huanhuan Chen, Peter Tiño, Xin Yao:
Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space. Comput. Chem. Eng. 67: 33-42 (2014) - [j9]Joseba Quevedo, Huanhuan Chen, Miquel Àngel Cugueró, Peter Tiño, Vicenç Puig, Diego García, Ramon Sarrate, Xin Yao:
Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network. Eng. Appl. Artif. Intell. 30: 18-29 (2014) - [j8]Huanhuan Chen, Peter Tiño, Ali Rodan, Xin Yao:
Learning in the Model Space for Cognitive Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 25(1): 124-136 (2014) - [j7]Huanhuan Chen, Peter Tiño, Xin Yao:
Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection. IEEE Trans. Neural Networks Learn. Syst. 25(2): 356-369 (2014) - [c14]Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen:
Support Vector Ordinal Regression using Privileged Information. ESANN 2014 - [c13]Fengzhen Tang, Peter Tiño, Huanhuan Chen:
Learning the deterministically constructed Echo State Networks. IJCNN 2014: 77-83 - 2013
- [c12]Huanhuan Chen, Fengzhen Tang, Peter Tiño, Xin Yao:
Model-based kernel for efficient time series analysis. KDD 2013: 392-400 - 2012
- [j6]Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao:
Semisupervised Classification With Cluster Regularization. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1779-1792 (2012) - [c11]Francisco Fernández-Navarro, Huanhuan Chen, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao:
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. HAIS (2) 2012: 308-318 - [i1]Huanhuan Chen, Peter Tiño, Xin Yao, Ali Rodan:
Learning in the Model Space for Fault Diagnosis. CoRR abs/1210.8291 (2012) - 2011
- [c10]Huanhuan Chen, Anthony G. Cohn:
Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach. IJCAI 2011: 2411-2417 - 2010
- [j5]Huanhuan Chen, Xin Yao:
Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning. IEEE Trans. Knowl. Data Eng. 22(12): 1738-1751 (2010) - [c9]Huanhuan Chen, Anthony G. Cohn:
Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar. ECAI 2010: 987-988 - [c8]Huanhuan Chen, Anthony G. Cohn:
Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data. IJCNN 2010: 1-8 - [c7]Shuo Wang, Huanhuan Chen, Xin Yao:
Negative correlation learning for classification ensembles. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j4]Huanhuan Chen, Peter Tiño, Xin Yao:
Predictive Ensemble Pruning by Expectation Propagation. IEEE Trans. Knowl. Data Eng. 21(7): 999-1013 (2009) - [j3]Huanhuan Chen, Peter Tiño, Xin Yao:
Probabilistic Classification Vector Machines. IEEE Trans. Neural Networks 20(6): 901-914 (2009) - [j2]Huanhuan Chen, Xin Yao:
Regularized Negative Correlation Learning for Neural Network Ensembles. IEEE Trans. Neural Networks 20(12): 1962-1979 (2009) - [c6]Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao:
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning. ICANN (2) 2009: 185-194 - 2007
- [c5]Huanhuan Chen, Xin Yao:
Evolutionary random neural ensembles based on negative correlation learning. IEEE Congress on Evolutionary Computation 2007: 1468-1474 - [c4]Huanhuan Chen, Xin Yao:
Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity. ICIC (2) 2007: 1162-1171 - 2006
- [c3]Huanhuan Chen, Xin Yao:
Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection. IEEE Congress on Evolutionary Computation 2006: 267-274 - [c2]Huanhuan Chen, Peter Tiño, Xin Yao:
A Probabilistic Ensemble Pruning Algorithm. ICDM Workshops 2006: 878-882 - [p1]Arjun Chandra, Huanhuan Chen, Xin Yao:
Trade-Off Between Diversity and Accuracy in Ensemble Generation. Multi-Objective Machine Learning 2006: 429-464 - 2004
- [j1]Huanhuan Chen, Bin Li, Zhenquan Zhuang:
Quantum secure circuit evaluation. Sci. China Ser. F Inf. Sci. 47(6): 717-727 (2004) - [c1]Yi Zou, Zhenquan Zhuang, Huanhuan Chen:
HW-SW partitioning based on genetic algorithm. IEEE Congress on Evolutionary Computation 2004: 628-633
Coauthor Index
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