Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. - Bo Yang 002; Hongbin Pei; Hechang Chen; Jiming Liu 001; Shang Xia (ICDM, 2014)

Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks. - Xuehua Zhao; Bo Yang 002; Hechang Chen (PAKDD (1), 2014)

Heterogeneous Data Mining for Planning Active Surveillance of Malaria. - Xiao Gu 004; Hechang Chen; Bo Yang 002 (ASE BD&SI, 2015)

On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking. - Bo Yang 002; Hechang Chen; Xuehua Zhao; Masato Naka; Jing Huang 002 (Knowl. Based Syst., 2015)

IASM: A System for the Intelligent Active Surveillance of Malaria. - Xinlei Wang 005; Bo Yang 002; Jing Huang 002; Hechang Chen; Xiao Gu 004; Yuan Bai; Zhanwei Du (Comput. Math. Methods Medicine, 2016)

Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. - Bo Yang 002; Hongbin Pei; Hechang Chen; Jiming Liu 001; Shang Xia (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Deep social collaborative filtering by trust. - Yuan Jiang 007; Hechang Chen; Bo Yang 002 (ICBDT, 2018)

Partially Observable Reinforcement Learning for Sustainable Active Surveillance. - Hechang Chen; Bo Yang 002; Jiming Liu 001 (KSEM (2), 2018)

Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions. - Yang Li 030; Hechang Chen; Bo Yang 002 (IEEE Access, 2018)

Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks. - Shuqiu Ping; Dayou Liu; Bo Yang 002; Yungang Zhu; Hechang Chen; Zheng Wang (IEEE Access, 2018)

Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning. - Hechang Chen; Bo Yang 002; Jiming Liu 001; Xiao-Nong Zhou; Philip S. Yu (IEEE Access, 2019)

Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. - Hechang Chen; Bo Yang 002; Hongbin Pei; Jiming Liu 001 (IEEE Access, 2019)

Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL. - Shuqiu Ping; Dayou Liu; Bo Yang 002; Yungang Zhu; Hechang Chen; Zheng Wang (IEEE Access, 2019)

Detecting Hot Topics From Academic Big Data. - Beibei Wang 003; Bo Yang 002; Shuangshuang Shan; Hechang Chen (IEEE Access, 2019)

Constrained Consistency Modeling for Attributed Network Embedding. - Xuan Zang; Bo Yang 002; Shuang Yang; Hechang Chen (IEEE Access, 2019)

Self-paced Ensemble for Highly Imbalanced Massive Data Classification. - Zhining Liu 002; Wei Cao 007; Zhifeng Gao; Jiang Bian 002; Hechang Chen; Yi Chang 001; Tie-Yan Liu (ICDE, 2020)

Attention-based Multi-level Feature Fusion for Named Entity Recognition. - Zhiwei Yang 005; Hechang Chen; Jiawei Zhang 001; Jing Ma 004; Yi Chang 001 (IJCAI, 2020)

Beyond-Visual-Range Air Combat Tactics Auto-Generation by Reinforcement Learning. - Haiyin Piao; Zhixiao Sun; Guanglei Meng; Hechang Chen; Bohao Qu; Kuijun Lang; Yang Sun; Shengqi Yang; Xuanqi Peng (IJCNN, 2020)

MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. - Sili Huang; Bo Yang 002; Hechang Chen; Haiyin Piao; Zhixiao Sun; Yi Chang 001 (KSEM (2), 2020)

Deep Ensemble Learning for Human Action Recognition in Still Images. - Xiangchun Yu; Zhe Zhang; Lei Wu; Wei Pang 001; Hechang Chen; Zhezhou Yu; Bin Li 004 (Complex., 2020)

Weakly supervised learning for image keypoint matching using graph convolutional networks. - Shu-Chao Pang; AnAn Du; Mehmet A. Orgun; Hechang Chen (Knowl. Based Syst., 2020)

HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. - Zhiwei Yang 005; Jing Ma 004; Hechang Chen; Yunke Zhang; Yi Chang 001 (EMNLP (Findings), 2021)

Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks. - Yunke Zhang; Zhiwei Yang 005; Bo Yu 013; Hechang Chen; Yang Li 030; Xuehua Zhao (KSEM, 2021)

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. - Siyuan Guo; Lixin Zou; Yiding Liu; Wenwen Ye; Suqi Cheng; Shuaiqiang Wang; Hechang Chen; Dawei Yin; Yi Chang 001 (SIGIR, 2021)

Unbiased Learning to Rank in Feeds Recommendation. - Xinwei Wu 001; Hechang Chen; Jiashu Zhao; Li He; Dawei Yin; Yi Chang 001 (WSDM, 2021)

Multi-agent hierarchical policy gradient for Air Combat Tactics emergence via self-play. - Zhixiao Sun; Haiyin Piao; Zhen Yang 011; Yiyang Zhao; Guang Zhan; Deyun Zhou; Guanglei Meng; Hechang Chen; Xing Chen; Bohao Qu; Yuanjie Lu (Eng. Appl. Artif. Intell., 2021)

A Scalable Redefined Stochastic Blockmodel. - Xueyan Liu 001; Bo Yang 002; Hechang Chen; Katarzyna Musial; Hongxu Chen 002; Yang Li 030; Wanli Zuo (ACM Trans. Knowl. Discov. Data, 2021)

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. - Zhiwei Yang 005; Jing Ma 004; Hechang Chen; Hongzhan Lin 001; Ziyang Luo; Yi Chang 001 (COLING, 2022)

Pyramid Tokens-to-Token Vision Transformer for Thyroid Pathology Image Classification. - Peng Yin; Bo Yu 013; Chengwei Jiang; Hechang Chen (IPTA, 2022)

District-Coupled Epidemic Control via Deep Reinforcement Learning. - Xinqi Du; Tianyi Liu; Songwei Zhao; Jiuman Song; Hechang Chen (KSEM (2), 2022)

LAM: Lightweight Attention Module. - Qiwei Ji; Bo Yu 013; Zhiwei Yang 005; Hechang Chen (KSEM (2), 2022)

Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization. - Songwei Zhao; Jiuman Song; Xinqi Du; Tianyi Liu; Huiling Chen 001; Hechang Chen (KSEM (2), 2022)

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Hechang Chen; Sili Huang; Haiyin Piao; Yi Chang 001; Lichao Sun 001 (NeurIPS, 2022)

Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction. - Shisong Tang; Qing Li 006; Xiaoteng Ma; Ci Gao; Dingmin Wang; Yong Jiang 001; Qian Ma; Aoyang Zhang; Hechang Chen (WWW, 2022)

Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning. - Xing Chen; Dongcui Diao; Hechang Chen; Hengshuai Yao; Jielong Yang; Haiyin Piao; Zhixiao Sun; Bei Jiang; Yi Chang 001 (CoRR, 2022)

Learning the Network of Graphs for Graph Neural Networks. - Yixiang Shan; Jielong Yang; Xing Liu 009; Yixing Gao; Hechang Chen; Shuzhi Sam Ge (CoRR, 2022)

Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data. - Liping Huang; Yongjian Yang 001; Hechang Chen; Yunke Zhang; Zijia Wang; Lifang He 001 (Knowl. Based Syst., 2022)

A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification. - Xiangchun Yu; Hechang Chen; Miaomiao Liang; Qing Xu; Lifang He 001 (Multim. Tools Appl., 2022)

The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. - Xing Chen; Dongcui Diao; Hechang Chen; Hengshuai Yao; Haiyin Piao; Zhixiao Sun; Zhiwei Yang 005; Randy Goebel; Bei Jiang; Yi Chang 001 (AAAI, 2023)

QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. - Jiao Huang; Jifeng Hu; Luheng Yang; Zhihang Ren; Hechang Chen; Bo Yang 002 (IJCNN, 2023)

Learning Generalizable Agents via Saliency-guided Features Decorrelation. - Sili Huang; Yanchao Sun; Jifeng Hu; Siyuan Guo; Hechang Chen; Yi Chang 001; Lichao Sun 001; Bo Yang 002 (NeurIPS, 2023)

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Sili Huang; Siyuan Guo; Hechang Chen; Li Shen 008; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2023)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. - Siyuan Guo; Yanchao Sun; Jifeng Hu; Sili Huang; Hechang Chen; Haiyin Piao; Lichao Sun 001; Yi Chang 001 (CoRR, 2023)

Careful at Estimation and Bold at Exploration. - Xing Chen; Yijun Liu; Zhaogeng Liu; Hechang Chen; Hengshuai Yao; Yi Chang 001 (CoRR, 2023)

SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks. - Yang Li 030; Bo Yang 002; Xuehua Zhao; Zhejian Yang; Hechang Chen (Knowl. Based Syst., 2023)

Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides. - Bo Yu 013; Hechang Chen; Yunke Zhang; Lele Cong; Shuchao Pang; Hongren Zhou; Ziye Wang; Xianling Cong (Knowl. Based Syst., 2023)

Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear. - Bo Yu 013; Peng Yin; Hechang Chen; Yifei Wang; Yu Zhao; Xianling Cong; Jouke Dijkstra; Lele Cong (Knowl. Based Syst., 2023)

Complex relationship graph abstraction for autonomous air combat collaboration: A learning and expert knowledge hybrid approach. - Haiyin Piao; Yue Han; Hechang Chen; Xuanqi Peng; Songyuan Fan; Yang Sun; Chen Liang; Zhimin Liu; Zhixiao Sun; Deyun Zhou (Expert Syst. Appl., 2023)

Multi-scale sequential feature selection for disease classification using Raman spectroscopy data. - Yue Wei; Hechang Chen; Bo Yu 013; Chengyou Jia; Xianling Cong; Lele Cong (Comput. Biol. Medicine, 2023)

Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history. - Bo Yu 013; Hechang Chen; Chengyou Jia; Hongren Zhou; Lele Cong; Xiankai Li; Jianhui Zhuang; Xianling Cong (Expert Syst. Appl., 2023)

HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. - Xinqi Du; Hechang Chen; Bo Yang 002; Cheng Long 001; Songwei Zhao (Inf. Sci., 2023)

ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining. - Yimin He; Shuchao Pang; Anan Du; Hechang Chen; Lele Cong; Mehmet A. Orgun (ADMA (4), 2024)

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. - Siyuan Guo; Cheng Deng; Ying Wen 001; Hechang Chen; Yi Chang 001; Jun Wang 012 (ICML, 2024)

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. - Sili Huang; Jifeng Hu; Hechang Chen; Lichao Sun 001; Bo Yang 002 (ICML, 2024)

Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning. - Sinuo Zhang; Jifeng Hu; Xinqi Du; Zhejian Yang; Yang Yu; Hechang Chen (IJCNN, 2024)

Contextual Distillation Model for Diversified Recommendation. - Fan Li 017; Xu Si; Shisong Tang; Dingmin Wang; Kunyan Han; Bing Han; Guorui Zhou; Yang Song 008; Hechang Chen (KDD, 2024)

Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. - Sili Huang; Jifeng Hu; Zhejian Yang; Liwei Yang; Tao Luo; Hechang Chen; Lichao Sun 001; Bo Yang 002 (NeurIPS, 2024)

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. - Jifeng Hu; Li Shen 008; Sili Huang; Zhejian Yang; Hechang Chen; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2024)

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. - Jifeng Hu; Sili Huang; Li Shen 008; Zhejian Yang; Shengchao Hu; Shisong Tang; Hechang Chen; Yi Chang 001; Dacheng Tao; Lichao Sun 001 (CoRR, 2024)

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. - Xinqi Du; Hechang Chen; Yongheng Xing; Philip S. Yu; Lifang He 001 (Expert Syst. Appl., 2024)

Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition. - Kang Yang; Zhiwei Yang 005; Songwei Zhao; Zhejian Yang; Sinuo Zhang; Hechang Chen (Knowl. Based Syst., 2024)

Robust multi-agent reinforcement learning via Bayesian distributional value estimation. - Xinqi Du; Hechang Chen; Che Wang; Yongheng Xing; Jielong Yang; Philip S. Yu; Yi Chang 001; Lifang He 001 (Pattern Recognit., 2024)

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. - Zhiwei Yang 005; Jing Ma 004; Hechang Chen; Jiawei Zhang 001; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Generalized multi-agent competitive reinforcement learning with differential augmentation. - Tianyi Liu; Hechang Chen; Jifeng Hu; Zhejian Yang; Bo Yu 013; Xinqi Du; Yinxiao Miao; Yi Chang 001 (Expert Syst. Appl., 2024)

An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides. - Hongren Zhou; Hechang Chen; Bo Yu 013; Shuchao Pang; Xianling Cong; Lele Cong (Expert Syst. Appl., 2024)

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy. - Zhiwei Yang 005; Jing Ma 004; Kang Yang; Huiru Lin; Hechang Chen; Ruichao Yang; Yi Chang 001 (Inf. Process. Manag., 2024)

Sample Efficient Offline-to-Online Reinforcement Learning. - Siyuan Guo; Lixin Zou; Hechang Chen; Bohao Qu; Haotian Chi; Philip S. Yu; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning. - Haiyin Piao; Shengqi Yang; Hechang Chen; Junnan Li 008; Jin Yu; Xuanqi Peng; Xin Yang 011; Zhen Yang 011; Zhixiao Sun; Yi Chang 001 (ACM Trans. Intell. Syst. Technol., 2024)

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. - Xinqi Du; Ziyue Li 002; Cheng Long 001; Yongheng Xing; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2024)

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. - Zhaogeng Liu; Feng Ji; Jielong Yang; Xiaofeng Cao 002; Muhan Zhang; Hechang Chen; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Novel Composite Graph Neural Network. - Zhaogeng Liu; Jielong Yang; Xionghu Zhong; Wenwu Wang 001; Hechang Chen; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis. - Haojian Liang; Shaohua Wang 001; Huilai Li; Liang Zhou; Hechang Chen; Xueyan Zhang; Xu Chen 049 (Int. J. Digit. Earth, 2024)

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs. - Songwei Zhao; Yuan Jiang 007; Zijing Zhang; Yang Yu; Hechang Chen (AAAI, 2025)

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract). - Xinqi Du; Ziyue Li 002; Cheng Long 001; Yongheng Xing; Philip S. Yu; Hechang Chen (ICDE, 2025)

Attention correction feature and boundary constraint knowledge distillation for efficient 3D medical image segmentation. - Xiangchun Yu; Longxiang Teng; Dingwen Zhang; Jian Zheng; Hechang Chen (Expert Syst. Appl., 2025)

HiPPO: Enhancing proximal policy optimization with highlight replay. - Shutong Zhang; Xing Chen; Zhaogeng Liu; Hechang Chen; Yi Chang 001 (Pattern Recognit., 2025)

A Survey on Post-training of Large Language Models. - Guiyao Tie; Zeli Zhao; Dingjie Song; Fuyang Wei; Rong Zhou; Yurou Dai; Wen Yin; Zhejian Yang; Jiangyue Yan; Yao Su 003; Zhenhan Dai; Yifeng Xie; et al. (CoRR, 2025)

Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. - Siyuan Guo; Huiwu Liu; Xiaolong Chen; Yuming Xie; Liang Zhang; Tao Han; Hechang Chen; Yi Chang 001; Jun Wang 012 (CoRR, 2025)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning. - Jifeng Hu; Sili Huang; Zhejian Yang; Shengchao Hu; Li Shen 008; Hechang Chen; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2025)

Decision Flow Policy Optimization. - Jifeng Hu; Sili Huang; Siyuan Guo; Zhaogeng Liu; Li Shen 008; Lichao Sun 001; Hechang Chen; Yi Chang 001; Dacheng Tao (CoRR, 2025)

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents. - Zhejian Yang; Yongchao Chen; Xueyang Zhou; Jiangyue Yan; Dingjie Song; Yinuo Liu; Yuting Li; Yu Zhang 044; Pan Zhou 001; Hechang Chen; Lichao Sun 001 (CoRR, 2025)

Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO. - Sili Huang; Hechang Chen; Haiyin Piao; Zhixiao Sun; Yi Chang 001; Lichao Sun 001; Bo Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Flexible Diffusion Convolution for Graph Neural Networks. - Songwei Zhao; Bo Yu 013; Kang Yang; Sinuo Zhang; Jifeng Hu; Yuan Jiang 007; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2025)

Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments. - Sili Huang; Jifeng Hu; Hechang Chen; Peng Cui 001; Haiyin Piao; Lichao Sun 001; Bo Yang 002 (IEEE Trans. Ind. Informatics, 2025)

ADAC: Actor-Double-Attention-Critic for Multi-Agent Cooperation in Mixed Cooperative-Competitive Environments. - He Kong; Qianli Xing 002; Qi Wang 078; Runliang Niu; Hechang Chen; Yu Wang 152; Shiqi Wang 006; Zhiyi Duan; Yi Chang 001 (IEEE Trans. Intell. Transp. Syst., 2025)