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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) - [c30]Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen:
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs. AAAI 2025: 13383-13391 - [i21]Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao:
A Survey on Post-training of Large Language Models. CoRR abs/2503.06072 (2025) - [i20]Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang:
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. CoRR abs/2503.20576 (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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