Hechang Chen

119 papers A* 18A 1B 4C 1Journal 81Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
A degree-corrected stochastic block model for community discovery in signed networks with heterogeneous degree distributions.
Pattern Recognit.
Zhejian Yang, Yang Li, Bo Yu, Jifeng Hu, Hechang Chen
2026 J jnl
A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation.
Neural Networks
Bo Yu, Jiuman Song, Lele Cong, Xianling Cong, Jouke Dijkstra, Philip S. Yu, Hechang Chen
2026 J jnl
Compact exploration for continuous action reinforcement learning.
Pattern Recognit.
Xing Chen, Hechang Chen, Yi Chang
2026 A* conf
Effective Robotic Cloth Grasping Through Suppressing False Discoveries.
AAAI
Xingyu Zhu, Zhiwen Tu, Yan Wu, Shan Luo, Hechang Chen, Yixing Gao
2026 J jnl
FGBVD-KD: Frequency-Guided bias-variance decomposition knowledge distillation for fracture detection.
Eng. Appl. Artif. Intell.
Xiangchun Yu, Dingwen Zhang, Longxiang Teng, Hechang Chen, Jian Zheng, Huashuai Cai, Miaomiao Liang
2026 J jnl
GraspALL: Adaptive Structural Compensation from Illumination Variation for Robotic Garment Grasping in Any Low-Light Conditions.
CoRR
Haifeng Zhong, Wenshuo Han, Zhouyu Wang, Runyang Feng, Fan Tang, Tong-Yee Lee, Zipei Fan, Ruihai Wu, Yuran Wang, Hao Dong, Hechang Chen, Hyung Jin Chang, Yixing Gao
2026 J jnl
Instructed Diffuser With Temporal Condition Guidance for Offline Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2026 J jnl
MedCoRAG: Interpretable Hepatology Diagnosis via Hybrid Evidence Retrieval and Multispecialty Consensus.
CoRR
Zheng Li, Jiayi Xu, Zhikai Hu, Hechang Chen, Lele Cong, Yunyun Wang, Shuchao Pang
2026 A* conf
Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data.
WWW
Liping Huang, Gaoxi Xiao, Stefan Ma, Hechang Chen, Shisong Tang, Flora D. Salim
2026 J jnl
Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data.
CoRR
Liping Huang, Gaoxi Xiao, Stefan Ma, Hechang Chen, Shisong Tang, Flora Salim
2026 J jnl
State transition difference prediction for deep reinforcement learning.
Pattern Recognit.
Haotian Chi, Zhaogeng Liu, Xing Chen, Bohao Qu, Jifeng Hu, Yuan Jiang, Hechang Chen, Yi Chang
2026 A* conf
TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction.
WWW
Zhejian Yang, Songwei Zhao, Zilin Zhao, Hechang Chen
2026 J jnl
TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction.
CoRR
Zhejian Yang, Songwei Zhao, Zilin Zhao, Hechang Chen
2026 J jnl
Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xing Chen, Yewen Li, Xiaofeng Cao, Hechang Chen, Hengshuai Yao, Bo An, Yi Chang
2025 J jnl
A Flexible Diffusion Convolution for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Songwei Zhao, Bo Yu, Kang Yang, Sinuo Zhang, Jifeng Hu, Yuan Jiang, Philip S. Yu, Hechang Chen
2025 J jnl
A Survey on Post-training of Large Language Models.
CoRR
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
2025 J jnl
A position-aware sets based weakly supervised framework for whole-slide subtype classification.
Eng. Appl. Artif. Intell.
Jiuman Song, Bo Yu, Xiaomin Liu, Lele Cong, Zilong Zhou, Xianling Cong, Hongyan Sun, Shuchao Pang, Hechang Chen
2025 J jnl
ADAC: Actor-Double-Attention-Critic for Multi-Agent Cooperation in Mixed Cooperative-Competitive Environments.
IEEE Trans. Intell. Transp. Syst.
He Kong, Qianli Xing, Qi Wang, Runliang Niu, Hechang Chen, Yu Wang, Shiqi Wang, Zhiyi Duan, Yi Chang
2025 J jnl
Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents.
CoRR
Zhejian Yang, Yongchao Chen, Xueyang Zhou, Jiangyue Yan, Dingjie Song, Yinuo Liu, Yuting Li, Yu Zhang, Pan Zhou, Hechang Chen, Lichao Sun
2025 J jnl
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 J jnl
Attention correction feature and boundary constraint knowledge distillation for efficient 3D medical image segmentation.
Expert Syst. Appl.
Xiangchun Yu, Longxiang Teng, Dingwen Zhang, Jian Zheng, Hechang Chen
2025 J jnl
Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO.
IEEE Trans. Neural Networks Learn. Syst.
Sili Huang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang, Lichao Sun, Bo Yang
2025 A* conf
Calibrating Video Watch-time Predictions with Credible Prototype Alignment.
ICML
Chao Cui, Shisong Tang, Fan Li, Jiechao Gao, Hechang Chen
2025 J jnl
Continual Diffuser (CoD): Mastering Continual Offline RL With Experience Rehearsal.
IEEE Trans. Neural Networks Learn. Syst.
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 J jnl
Decision Flow Policy Optimization.
CoRR
Jifeng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Dacheng Tao
2025 J jnl
EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios.
IEEE Trans. Knowl. Data Eng.
Songwei Zhao, Bo Yu, Sinuo Zhang, Zhejian Yang, Jifeng Hu, Philip S. Yu, Hechang Chen
2025 A* conf
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract).
ICDE
Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
2025 A* conf
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs.
AAAI
Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen
2025 J jnl
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs.
CoRR
Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen
2025 J jnl
Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments.
IEEE Trans. Ind. Informatics
Sili Huang, Jifeng Hu, Hechang Chen, Peng Cui, Haiyin Piao, Lichao Sun, Bo Yang
2025 J jnl
HiPPO: Enhancing proximal policy optimization with highlight replay.
Pattern Recognit.
Shutong Zhang, Xing Chen, Zhaogeng Liu, Hechang Chen, Yi Chang
2025 — conf
Leveraging Label Distributions as Anchors to Enhance Video Recommendation.
KDD (2)
Yulin Xu, Chao Cui, Shisong Tang, Fan Li, Bing Han, Huafeng Cao, Jiechao Gao, Hechang Chen
2025 — conf
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models.
KDD (2)
Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang
2025 J jnl
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models.
CoRR
Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang
2025 — conf
PQIns: Pipeline-Driven Application-Specific Instruction-Set Architecture for Hybrid Post-quantum Cryptography Acceleration.
ICA3PP (1)
Danni Wang, Sibo Gong, Sizhao Li, Guisheng Yin, Hechang Chen, Yue Cao
2024 J jnl
A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning.
Expert Syst. Appl.
Xinqi Du, Hechang Chen, Yongheng Xing, Philip S. Yu, Lifang He
2024 J jnl
A Novel Composite Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Zhaogeng Liu, Jielong Yang, Xionghu Zhong, Wenwu Wang, Hechang Chen, Yi Chang
2024 — conf
ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining.
ADMA (4)
Yimin He, Shuchao Pang, Anan Du, Hechang Chen, Lele Cong, Mehmet A. Orgun
2024 J jnl
An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.
Expert Syst. Appl.
Hongren Zhou, Hechang Chen, Bo Yu, Shuchao Pang, Xianling Cong, Lele Cong
2024 J jnl
CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy.
Inf. Process. Manag.
Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang
2024 J jnl
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang
2024 A* conf
Contextual Distillation Model for Diversified Recommendation.
KDD
Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen
2024 J jnl
Contextual Distillation Model for Diversified Recommendation.
CoRR
Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen
2024 J jnl
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal.
CoRR
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2024 A* conf
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.
ICML
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
2024 J jnl
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.
CoRR
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
2024 A* conf
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.
NeurIPS
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024 J jnl
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.
CoRR
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024 J jnl
Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning.
ACM Trans. Intell. Syst. Technol.
Haiyin Piao, Shengqi Yang, Hechang Chen, Junnan Li, Jin Yu, Xuanqi Peng, Xin Yang, Zhen Yang, Zhixiao Sun, Yi Chang
2024 B conf
Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning.
IJCNN
Sinuo Zhang, Jifeng Hu, Xinqi Du, Zhejian Yang, Yang Yu, Hechang Chen
2024 J jnl
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
2024 J jnl
Generalized multi-agent competitive reinforcement learning with differential augmentation.
Expert Syst. Appl.
Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang
2024 A* conf
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought.
ICML
Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
2024 J jnl
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought.
CoRR
Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
2024 J jnl
Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang
2024 J jnl
Robust multi-agent reinforcement learning via Bayesian distributional value estimation.
Pattern Recognit.
Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He
2024 J jnl
Sample Efficient Offline-to-Online Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang
2024 J jnl
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.
CoRR
Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun
2024 J jnl
Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis.
Int. J. Digit. Earth
Haojian Liang, Shaohua Wang, Huilai Li, Liang Zhou, Hechang Chen, Xueyan Zhang, Xu Chen
2024 J jnl
Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition.
Knowl. Based Syst.
Kang Yang, Zhiwei Yang, Songwei Zhao, Zhejian Yang, Sinuo Zhang, Hechang Chen
2023 J jnl
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.
CoRR
Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang
2023 J jnl
Careful at Estimation and Bold at Exploration.
CoRR
Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang
2023 J jnl
Complex relationship graph abstraction for autonomous air combat collaboration: A learning and expert knowledge hybrid approach.
Expert Syst. Appl.
Haiyin Piao, Yue Han, Hechang Chen, Xuanqi Peng, Songyuan Fan, Yang Sun, Chen Liang, Zhimin Liu, Zhixiao Sun, Deyun Zhou
2023 J jnl
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides.
CoRR
Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong
2023 J jnl
Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides.
Knowl. Based Syst.
Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong
2023 J jnl
HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control.
Inf. Sci.
Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao
2023 J jnl
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2023 J jnl
Learning Generalizable Agents via Saliency-Guided Features Decorrelation.
CoRR
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023 A* conf
Learning Generalizable Agents via Saliency-guided Features Decorrelation.
NeurIPS
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023 J jnl
Multi-Modality Multi-Scale Cardiovascular Disease Subtypes Classification Using Raman Image and Medical History.
CoRR
Bo Yu, Hechang Chen, Chengyou Jia, Hongren Zhou, Lele Cong, Xiankai Li, Jianhui Zhuang, Xianling Cong
2023 J jnl
Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history.
Expert Syst. Appl.
Bo Yu, Hechang Chen, Chengyou Jia, Hongren Zhou, Lele Cong, Xiankai Li, Jianhui Zhuang, Xianling Cong
2023 J jnl
Multi-scale sequential feature selection for disease classification using Raman spectroscopy data.
Comput. Biol. Medicine
Yue Wei, Hechang Chen, Bo Yu, Chengyou Jia, Xianling Cong, Lele Cong
2023 J jnl
Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear.
Knowl. Based Syst.
Bo Yu, Peng Yin, Hechang Chen, Yifei Wang, Yu Zhao, Xianling Cong, Jouke Dijkstra, Lele Cong
2023 B conf
QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework.
IJCNN
Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang
2023 J jnl
SSBM: A Signed Stochastic Block Model for Multiple Structure Discovery in Large-Scale Exploratory Signed Networks.
CoRR
Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen
2023 J jnl
SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks.
Knowl. Based Syst.
Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen
2023 A* conf
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure.
AAAI
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang
2022 B conf
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
COLING
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
2022 J jnl
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
CoRR
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
2022 J jnl
A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification.
Multim. Tools Appl.
Xiangchun Yu, Hechang Chen, Miaomiao Liang, Qing Xu, Lifang He
2022 J jnl
Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data.
Knowl. Based Syst.
Liping Huang, Yongjian Yang, Hechang Chen, Yunke Zhang, Zijia Wang, Lifang He
2022 J jnl
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning.
CoRR
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
2022 A* conf
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning.
NeurIPS
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
2022 — conf
District-Coupled Epidemic Control via Deep Reinforcement Learning.
KSEM (2)
Xinqi Du, Tianyi Liu, Songwei Zhao, Jiuman Song, Hechang Chen
2022 — conf
Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization.
KSEM (2)
Songwei Zhao, Jiuman Song, Xinqi Du, Tianyi Liu, Huiling Chen, Hechang Chen
2022 A* conf
Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction.
WWW
Shisong Tang, Qing Li, Xiaoteng Ma, Ci Gao, Dingmin Wang, Yong Jiang, Qian Ma, Aoyang Zhang, Hechang Chen
2022 — conf
LAM: Lightweight Attention Module.
KSEM (2)
Qiwei Ji, Bo Yu, Zhiwei Yang, Hechang Chen
2022 J jnl
Learning the Network of Graphs for Graph Neural Networks.
CoRR
Yixiang Shan, Jielong Yang, Xing Liu, Yixing Gao, Hechang Chen, Shuzhi Sam Ge
2022 — conf
Pyramid Tokens-to-Token Vision Transformer for Thyroid Pathology Image Classification.
IPTA
Peng Yin, Bo Yu, Chengwei Jiang, Hechang Chen
2022 J jnl
Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning.
CoRR
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang
2021 J jnl
A Scalable Redefined Stochastic Blockmodel.
ACM Trans. Knowl. Discov. Data
Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo
2021 A* conf
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
SIGIR
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021 J jnl
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation.
CoRR
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021 — conf
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition.
EMNLP (Findings)
Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang
2021 J jnl
Multi-agent hierarchical policy gradient for Air Combat Tactics emergence via self-play.
Eng. Appl. Artif. Intell.
Zhixiao Sun, Haiyin Piao, Zhen Yang, Yiyang Zhao, Guang Zhan, Deyun Zhou, Guanglei Meng, Hechang Chen, Xing Chen, Bohao Qu, Yuanjie Lu
2021 C conf
Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks.
KSEM
Yunke Zhang, Zhiwei Yang, Bo Yu, Hechang Chen, Yang Li, Xuehua Zhao
2021 A conf
Unbiased Learning to Rank in Feeds Recommendation.
WSDM
Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang
2020 A* conf
Attention-based Multi-level Feature Fusion for Named Entity Recognition.
IJCAI
Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
2020 B conf
Beyond-Visual-Range Air Combat Tactics Auto-Generation by Reinforcement Learning.
IJCNN
Haiyin Piao, Zhixiao Sun, Guanglei Meng, Hechang Chen, Bohao Qu, Kuijun Lang, Yang Sun, Shengqi Yang, Xuanqi Peng
2020 J jnl
Deep Ensemble Learning for Human Action Recognition in Still Images.
Complex.
Xiangchun Yu, Zhe Zhang, Lei Wu, Wei Pang, Hechang Chen, Zhezhou Yu, Bin Li
2020 — conf
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning.
KSEM (2)
Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang
2020 A* conf
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
ICDE
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2020 J jnl
Weakly supervised learning for image keypoint matching using graph convolutional networks.
Knowl. Based Syst.
Shu-Chao Pang, Anan Du, Mehmet A. Orgun, Hechang Chen
2019 J jnl
Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL.
IEEE Access
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang
2019 J jnl
Constrained Consistency Modeling for Attributed Network Embedding.
IEEE Access
Xuan Zang, Bo Yang, Shuang Yang, Hechang Chen
2019 J jnl
Detecting Hot Topics From Academic Big Data.
IEEE Access
Beibei Wang, Bo Yang, Shuangshuang Shan, Hechang Chen
2019 J jnl
Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning.
IEEE Access
Hechang Chen, Bo Yang, Jiming Liu, Xiao-Nong Zhou, Philip S. Yu
2019 J jnl
Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking.
IEEE Access
Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu
2019 J jnl
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
CoRR
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2018 J jnl
Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks.
IEEE Access
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang
2018 — conf
Deep social collaborative filtering by trust.
ICBDT
Yuan Jiang, Hechang Chen, Bo Yang
2018 — conf
Partially Observable Reinforcement Learning for Sustainable Active Surveillance.
KSEM (2)
Hechang Chen, Bo Yang, Jiming Liu
2018 J jnl
Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions.
IEEE Access
Yang Li, Hechang Chen, Bo Yang
2017 J jnl
Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare.
IEEE Trans. Pattern Anal. Mach. Intell.
Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia
2016 J jnl
IASM: A System for the Intelligent Active Surveillance of Malaria.
Comput. Math. Methods Medicine
Xinlei Wang, Bo Yang, Jing Huang, Hechang Chen, Xiao Gu, Yuan Bai, Zhanwei Du
2015 — conf
Heterogeneous Data Mining for Planning Active Surveillance of Malaria.
ASE BD&SI
Xiao Gu, Hechang Chen, Bo Yang
2015 J jnl
On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking.
Knowl. Based Syst.
Bo Yang, Hechang Chen, Xuehua Zhao, Masato Naka, Jing Huang
2014 — conf
Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks.
PAKDD (1)
Xuehua Zhao, Bo Yang, Hechang Chen
2014 A* conf
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data.
ICDM
Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia