Hechang Chen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 70

Top Topics

Named Entity Recognition

Weakly Supervised Learning

Reinforcement Learning

Top Venues

Knowl. Based Syst.

Publications

Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang
Generalized multi-agent competitive reinforcement learning with differential augmentation. Expert Syst. Appl. 238 (Part C) (2024)
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. CoRR (2024)
Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen
Contextual Distillation Model for Diversified Recommendation. CoRR (2024)
Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. CoRR (2024)
Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145 (2024)
Kang Yang, Zhiwei Yang, Songwei Zhao, Zhejian Yang, Sinuo Zhang, Hechang Chen
Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition. Knowl. Based Syst. 296 (2024)
Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen
Contextual Distillation Model for Diversified Recommendation. KDD (2024)
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. CoRR (2024)
Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Xinqi Du, Hechang Chen, Yongheng Xing, Philip S. Yu, Lifang He
A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. Expert Syst. Appl. 245 (2024)
Hongren Zhou, Hechang Chen, Bo Yu, Shuchao Pang, Xianling Cong, Lele Cong
An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides. Expert Syst. Appl. 237 (Part A) (2024)
Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang
Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang
CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy. Inf. Process. Manag. 61 (2) (2024)
Yue Wei, Hechang Chen, Bo Yu, Chengyou Jia, Xianling Cong, Lele Cong
Multi-scale sequential feature selection for disease classification using Raman spectroscopy data. Comput. Biol. Medicine 162 (2023)
Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao
HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. Inf. Sci. 640 (2023)
Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen
SSBM: A Signed Stochastic Block Model for Multiple Structure Discovery in Large-Scale Exploratory Signed Networks. CoRR (2023)
Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. CoRR (2023)
Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang
Careful at Estimation and Bold at Exploration. CoRR (2023)
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Learning Generalizable Agents via Saliency-guided Features Decorrelation. NeurIPS (2023)
Bo Yu, Hechang Chen, Chengyou Jia, Hongren Zhou, Lele Cong, Xiankai Li, Jianhui Zhuang, Xianling Cong
Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history. Expert Syst. Appl. 224 (2023)
Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang
QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. IJCNN (2023)
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. CoRR (2023)
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Learning Generalizable Agents via Saliency-Guided Features Decorrelation. CoRR (2023)
Haiyin Piao, Yue Han, Hechang Chen, Xuanqi Peng, Songyuan Fan, Yang Sun, Chen Liang, Zhimin Liu, Zhixiao Sun, Deyun Zhou
Complex relationship graph abstraction for autonomous air combat collaboration: A learning and expert knowledge hybrid approach. Expert Syst. Appl. 215 (2023)
Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Chang Yi, Ivor W. Tsang, Yew-Soon Ong
Policy Dispersion in Non-Markovian Environment. CoRR (2023)
Bo Yu, Hechang Chen, Chengyou Jia, Hongren Zhou, Lele Cong, Xiankai Li, Jianhui Zhuang, Xianling Cong
Multi-Modality Multi-Scale Cardiovascular Disease Subtypes Classification Using Raman Image and Medical History. CoRR (2023)
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. AAAI (2023)
Bo Yu, Peng Yin, Hechang Chen, Yifei Wang, Yu Zhao, Xianling Cong, Jouke Dijkstra, Lele Cong
Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear. Knowl. Based Syst. 275 (2023)
Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen
SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks. Knowl. Based Syst. 259 (2023)
Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides. CoRR (2023)
Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong
Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides. Knowl. Based Syst. 260 (2023)
Xiangchun Yu, Hechang Chen, Miaomiao Liang, Qing Xu, Lifang He
A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification. Multim. Tools Appl. 81 (9) (2022)
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning. CoRR (2022)
Qiwei Ji, Bo Yu, Zhiwei Yang, Hechang Chen
LAM: Lightweight Attention Module. KSEM (2) (2022)
Shisong Tang, Qing Li, Xiaoteng Ma, Ci Gao, Dingmin Wang, Yong Jiang, Qian Ma, Aoyang Zhang, Hechang Chen
Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction. WWW (2022)
Xinqi Du, Tianyi Liu, Songwei Zhao, Jiuman Song, Hechang Chen
District-Coupled Epidemic Control via Deep Reinforcement Learning. KSEM (2) (2022)
Peng Yin, Bo Yu, Chengwei Jiang, Hechang Chen
Pyramid Tokens-to-Token Vision Transformer for Thyroid Pathology Image Classification. IPTA (2022)
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. CoRR (2022)
Liping Huang, Yongjian Yang, Hechang Chen, Yunke Zhang, Zijia Wang, Lifang He
Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data. Knowl. Based Syst. 245 (2022)
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. COLING (2022)
Songwei Zhao, Jiuman Song, Xinqi Du, Tianyi Liu, Huiling Chen, Hechang Chen
Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization. KSEM (2) (2022)
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. NeurIPS (2022)
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang
Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning. CoRR (2022)
Yixiang Shan, Jielong Yang, Xing Liu, Yixing Gao, Hechang Chen, Shuzhi Sam Ge
Learning the Network of Graphs for Graph Neural Networks. CoRR (2022)
Yunke Zhang, Zhiwei Yang, Bo Yu, Hechang Chen, Yang Li, Xuehua Zhao
Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks. KSEM (2021)
Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. EMNLP (Findings) (2021)
Zhixiao Sun, Haiyin Piao, Zhen Yang, Yiyang Zhao, Guang Zhan, Deyun Zhou, Guanglei Meng, Hechang Chen, Xing Chen, Bohao Qu, Yuanjie Lu
Multi-agent hierarchical policy gradient for Air Combat Tactics emergence via self-play. Eng. Appl. Artif. Intell. 98 (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR (2021)
Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang
Unbiased Learning to Rank in Feeds Recommendation. WSDM (2021)
Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo
A Scalable Redefined Stochastic Blockmodel. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Shu-Chao Pang, AnAn Du, Mehmet A. Orgun, Hechang Chen
Weakly supervised learning for image keypoint matching using graph convolutional networks. Knowl. Based Syst. 197 (2020)
Xiangchun Yu, Zhe Zhang, Lei Wu, Wei Pang, Hechang Chen, Zhezhou Yu, Bin Li
Deep Ensemble Learning for Human Action Recognition in Still Images. Complex. 2020 (2020)
Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI (2020)
Haiyin Piao, Zhixiao Sun, Guanglei Meng, Hechang Chen, Bohao Qu, Kuijun Lang, Yang Sun, Shengqi Yang, Xuanqi Peng
Beyond-Visual-Range Air Combat Tactics Auto-Generation by Reinforcement Learning. IJCNN (2020)
Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. KSEM (2) (2020)
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. ICDE (2020)
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. CoRR (2019)
Xuan Zang, Bo Yang, Shuang Yang, Hechang Chen
Constrained Consistency Modeling for Attributed Network Embedding. IEEE Access 7 (2019)
Beibei Wang, Bo Yang, Shuangshuang Shan, Hechang Chen
Detecting Hot Topics From Academic Big Data. IEEE Access 7 (2019)
Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu
Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 7 (2019)
Hechang Chen, Bo Yang, Jiming Liu, Xiao-Nong Zhou, Philip S. Yu
Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning. IEEE Access 7 (2019)
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang
Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL. IEEE Access 7 (2019)
Yang Li, Hechang Chen, Bo Yang
Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions. IEEE Access 6 (2018)
Hechang Chen, Bo Yang, Jiming Liu
Partially Observable Reinforcement Learning for Sustainable Active Surveillance. KSEM (2) (2018)
Yuan Jiang, Hechang Chen, Bo Yang
Deep social collaborative filtering by trust. ICBDT (2018)
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang
Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks. IEEE Access 6 (2018)
Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia
Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Trans. Pattern Anal. Mach. Intell. 39 (8) (2017)
Xinlei Wang, Bo Yang, Jing Huang, Hechang Chen, Xiao Gu, Yuan Bai, Zhanwei Du
IASM: A System for the Intelligent Active Surveillance of Malaria. Comput. Math. Methods Medicine 2016 (2016)
Xiao Gu, Hechang Chen, Bo Yang
Heterogeneous Data Mining for Planning Active Surveillance of Malaria. ASE BD&SI (2015)
Bo Yang, Hechang Chen, Xuehua Zhao, Masato Naka, Jing Huang
On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking. Knowl. Based Syst. 77 (2015)
Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. ICDM (2014)
Xuehua Zhao, Bo Yang, Hechang Chen
Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks. PAKDD (1) (2014)