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2020 – today
- 2025
[j38]Xiangchun Yu
, Longxiang Teng, Dingwen Zhang, Jian Zheng, Hechang Chen:
Attention correction feature and boundary constraint knowledge distillation for efficient 3D medical image segmentation. Expert Syst. Appl. 262: 125670 (2025)- [j37]Shutong Zhang, Xing Chen, Zhaogeng Liu, Hechang Chen, Yi Chang:
HiPPO: Enhancing proximal policy optimization with highlight replay. Pattern Recognit. 162: 111408 (2025) - 2024
- [j36]Haojian Liang, Shaohua Wang, Huilai Li, Liang Zhou, Hechang Chen, Xueyan Zhang, Xu Chen:
Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis. Int. J. Digit. Earth 17(1) (2024) - [j35]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): 121379 (2024) - [j34]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): 121760 (2024) - [j33]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: 123158 (2024) - [j32]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): 103657 (2024) - [j31]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: 111762 (2024) - [j30]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: 109917 (2024) - [j29]Haiyin Piao, Shengqi Yang, Hechang Chen, Junnan Li, Jin Yu, Xuanqi Peng, Xin Yang, Zhen Yang, Zhixiao Sun, Yi Chang:
Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning. ACM Trans. Intell. Syst. Technol. 15(4): 65:1-65:28 (2024) - [j28]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): 1299-1310 (2024) - [j27]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): 4678-4692 (2024) - [j26]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): 973-984 (2024) - [j25]Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang:
Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11720-11733 (2024) - [j24]Zhaogeng Liu, Jielong Yang, Xionghu Zhong, Wenwu Wang, Hechang Chen, Yi Chang:
A Novel Composite Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13411-13425 (2024) - [c29]Yimin He, Shuchao Pang, Anan Du, Hechang Chen, Lele Cong, Mehmet A. Orgun:
ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining. ADMA (4) 2024: 78-93 - [c28]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. ICML 2024 - [c27]Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang:
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. ICML 2024 - [c26]Sinuo Zhang, Jifeng Hu, Xinqi Du, Zhejian Yang, Yang Yu, Hechang Chen:
Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning. IJCNN 2024: 1-9 - [c25]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: 5307-5316 - [c24]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. NeurIPS 2024 - [i19]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 abs/2402.17453 (2024) - [i18]Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang:
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. CoRR abs/2405.20692 (2024) - [i17]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 abs/2406.00079 (2024) - [i16]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 abs/2406.09021 (2024) - [i15]Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao:
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. CoRR abs/2409.02512 (2024) - [i14]Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun:
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. CoRR abs/2410.15698 (2024) - 2023
- [j23]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: 107053 (2023) - [j22]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: 119285 (2023) - [j21]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: 119965 (2023) - [j20]Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao:
HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. Inf. Sci. 640: 119065 (2023) - [j19]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: 110068 (2023) - [j18]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: 110168 (2023) - [j17]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: 110721 (2023) - [c23]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: 7078-7086 - [c22]Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang:
QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. IJCNN 2023: 1-8 - [c21]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 - [i13]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 abs/2304.09314 (2023) - [i12]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 abs/2304.09322 (2023) - [i11]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 abs/2304.10955 (2023) - [i10]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 abs/2306.04875 (2023) - [i9]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 abs/2306.07541 (2023) - [i8]Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang:
Careful at Estimation and Bold at Exploration. CoRR abs/2308.11348 (2023) - [i7]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 abs/2310.05086 (2023) - 2022
- [j16]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: 108596 (2022) - [j15]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): 11949-11963 (2022) - [c20]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: 2608-2621 - [c19]Peng Yin, Bo Yu, Chengwei Jiang, Hechang Chen:
Pyramid Tokens-to-Token Vision Transformer for Thyroid Pathology Image Classification. IPTA 2022: 1-6 - [c18]Xinqi Du, Tianyi Liu, Songwei Zhao, Jiuman Song, Hechang Chen:
District-Coupled Epidemic Control via Deep Reinforcement Learning. KSEM (2) 2022: 417-428 - [c17]Songwei Zhao, Jiuman Song, Xinqi Du, Tianyi Liu, Huiling Chen, Hechang Chen:
Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization. KSEM (2) 2022: 457-468 - [c16]Qiwei Ji, Bo Yu, Zhiwei Yang, Hechang Chen:
LAM: Lightweight Attention Module. KSEM (2) 2022: 485-497 - [c15]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 - [c14]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: 2879-2887 - [i6]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 abs/2205.10047 (2022) - [i5]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 abs/2209.14642 (2022) - [i4]Yixiang Shan, Jielong Yang, Xing Liu, Yixing Gao, Hechang Chen, Shuzhi Sam Ge:
Learning the Network of Graphs for Graph Neural Networks. CoRR abs/2210.03907 (2022) - [i3]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 abs/2210.07636 (2022) - 2021
- [j14]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: 104112 (2021) - [j13]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): 46:1-46:28 (2021) - [c13]Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang:
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. EMNLP (Findings) 2021: 124-132 - [c12]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: 40-52 - [c11]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: 275-284 - [c10]Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang:
Unbiased Learning to Rank in Feeds Recommendation. WSDM 2021: 490-498 - [i2]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 abs/2105.13623 (2021) - 2020
- [j12]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: 9428612:1-9428612:23 (2020) - [j11]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: 105871 (2020) - [c9]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: 841-852 - [c8]Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang:
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI 2020: 3594-3600 - [c7]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: 1-8 - [c6]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: 3-14
2010 – 2019
- 2019
- [j10]Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu:
Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 7: 2633-2642 (2019) - [j9]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: 53667-53676 (2019) - [j8]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: 108458-108473 (2019) - [j7]Xuan Zang, Bo Yang, Shuang Yang, Hechang Chen:
Constrained Consistency Modeling for Attributed Network Embedding. IEEE Access 7: 185687-185697 (2019) - [j6]Beibei Wang, Bo Yang, Shuangshuang Shan, Hechang Chen:
Detecting Hot Topics From Academic Big Data. IEEE Access 7: 185916-185927 (2019) - [i1]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 abs/1909.03500 (2019) - 2018
- [j5]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: 4750-4758 (2018) - [j4]Yang Li, Hechang Chen, Bo Yang:
Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions. IEEE Access 6: 37615-37626 (2018) - [c5]Yuan Jiang, Hechang Chen, Bo Yang:
Deep social collaborative filtering by trust. ICBDT 2018: 52-56 - [c4]Hechang Chen, Bo Yang, Jiming Liu:
Partially Observable Reinforcement Learning for Sustainable Active Surveillance. KSEM (2) 2018: 425-437 - 2017
- [j3]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): 1532-1546 (2017) - 2016
- [j2]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: 2080937:1-2080937:11 (2016) - 2015
- [j1]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: 56-67 (2015) - [c3]Xiao Gu, Hechang Chen, Bo Yang:
Heterogeneous Data Mining for Planning Active Surveillance of Malaria. ASE BD&SI 2015: 34:1-34:6 - 2014
- [c2]Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia:
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. ICDM 2014: 630-639 - [c1]Xuehua Zhao, Bo Yang, Hechang Chen:
Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks. PAKDD (1) 2014: 374-385
Coauthor Index
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