Hechang Chen

According to our database, Hechang Chen authored at least 58 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sample Efficient Offline-to-Online Reinforcement Learning.

Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang

IEEE Trans. Knowl. Data Eng., March, 2024

An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.

Hongren Zhou, Hechang Chen, Bo Yu, Shuchao Pang, Xianling Cong, Lele Cong

Expert Syst. Appl., March, 2024

Generalized multi-agent competitive reinforcement learning with differential augmentation.

Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang

Expert Syst. Appl., March, 2024

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition.

Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang

IEEE Trans. Neural Networks Learn. Syst., January, 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, Lifang He

Pattern Recognit., January, 2024

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.

Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang

CoRR, 2024

2023

HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control.

Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao

Inf. Sci., September, 2023

Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history.

Bo Yu, Hechang Chen, Chengyou Jia, Hongren Zhou, Lele Cong, Xiankai Li, Jianhui Zhuang, Xianling Cong

Expert Syst. Appl., August, 2023

Multi-scale sequential feature selection for disease classification using Raman spectroscopy data.

Yue Wei, Hechang Chen, Bo Yu, Chengyou Jia, Xianling Cong, Lele Cong

Comput. Biol. Medicine, August, 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., April, 2023

Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear.

Bo Yu, Peng Yin, Hechang Chen, Yifei Wang, Yu Zhao, Xianling Cong, Jouke Dijkstra, Lele Cong

Knowl. Based Syst., 2023

Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides.

Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong

Knowl. Based Syst., 2023

SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks.

Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen

Knowl. Based Syst., 2023

Careful at Estimation and Bold at Exploration.

Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang

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, Yi Chang

CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.

Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao

CoRR, 2023

SSBM: A Signed Stochastic Block Model for Multiple Structure Discovery in Large-Scale Exploratory Signed Networks.

Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen

CoRR, 2023

Policy Dispersion in Non-Markovian Environment.

Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Yi Chang, Ivor W. Tsang, Yew-Soon Ong

CoRR, 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation.

Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework.

Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang

Proceedings of the International Joint Conference on Neural Networks, 2023

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, Randy Goebel, Bei Jiang, Yi Chang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Multim. Tools Appl., 2022

Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data.

Liping Huang, Yongjian Yang, Hechang Chen, Yunke Zhang, Zijia Wang, Lifang He

Knowl. Based Syst., 2022

Learning the Network of Graphs for Graph Neural Networks.

Yixiang Shan, Jielong Yang, Xing Liu, Yixing Gao, Hechang Chen, Shuzhi Sam Ge

CoRR, 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

CoRR, 2022

Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction.

Shisong Tang, Qing Li, Xiaoteng Ma, Ci Gao, Dingmin Wang, Yong Jiang, Qian Ma, Aoyang Zhang, Hechang Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning.

Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization.

Songwei Zhao, Jiuman Song, Xinqi Du, Tianyi Liu, Huiling Chen, Hechang Chen

Proceedings of the Knowledge Science, Engineering and Management, 2022

LAM: Lightweight Attention Module.

Qiwei Ji, Bo Yu, Zhiwei Yang, Hechang Chen

Proceedings of the Knowledge Science, Engineering and Management, 2022

District-Coupled Epidemic Control via Deep Reinforcement Learning.

Xinqi Du, Tianyi Liu, Songwei Zhao, Jiuman Song, Hechang Chen

Proceedings of the Knowledge Science, Engineering and Management, 2022

Pyramid Tokens-to-Token Vision Transformer for Thyroid Pathology Image Classification.

Peng Yin, Bo Yu, Chengwei Jiang, Hechang Chen

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.

Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

A Scalable Redefined Stochastic Blockmodel.

Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo

ACM Trans. Knowl. Discov. Data, 2021

Multi-agent hierarchical policy gradient for Air Combat Tactics emergence via self-play.

Zhixiao Sun, Haiyin Piao, Zhen Yang, Yiyang Zhao, Guang Zhan, Deyun Zhou, Guanglei Meng, Hechang Chen, Xing Chen, Bohao Qu, Yuanjie Lu

Eng. Appl. Artif. Intell., 2021

Unbiased Learning to Rank in Feeds Recommendation.

Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang

Proceedings of the WSDM '21, 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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks.

Yunke Zhang, Zhiwei Yang, Bo Yu, Hechang Chen, Yang Li, Xuehua Zhao

Proceedings of the Knowledge Science, Engineering and Management, 2021

HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition.

Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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

Deep Ensemble Learning for Human Action Recognition in Still Images.

Xiangchun Yu, Zhe Zhang, Lei Wu, Wei Pang, Hechang Chen, Zhezhou Yu, Bin Li

Complex., 2020

MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning.

Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang

Proceedings of the Knowledge Science, Engineering and Management, 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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Attention-based Multi-level Feature Fusion for Named Entity Recognition.

Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.

Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Constrained Consistency Modeling for Attributed Network Embedding.

Xuan Zang, Bo Yang, Shuang Yang, Hechang Chen

IEEE Access, 2019

Detecting Hot Topics From Academic Big Data.

Beibei Wang, Bo Yang, Shuangshuang Shan, Hechang Chen

IEEE Access, 2019

Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL.

Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang

IEEE Access, 2019

Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking.

Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu

IEEE Access, 2019

Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning.

Hechang Chen, Bo Yang, Jiming Liu, Xiao-Nong Zhou, Philip S. Yu

IEEE Access, 2019

2018

Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks.

Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang

IEEE Access, 2018

Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions.

Yang Li, Hechang Chen, Bo Yang

IEEE Access, 2018

Partially Observable Reinforcement Learning for Sustainable Active Surveillance.

Hechang Chen, Bo Yang, Jiming Liu

Proceedings of the Knowledge Science, Engineering and Management, 2018

2017

Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare.

Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

IASM: A System for the Intelligent Active Surveillance of Malaria.

Xinlei Wang, Bo Yang, Jing Huang, Hechang Chen, Xiao Gu, Yuan Bai, Zhanwei Du

Comput. Math. Methods Medicine, 2016

2015

On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking.

Bo Yang, Hechang Chen, Xuehua Zhao, Masato Naka, Jing Huang

Knowl. Based Syst., 2015

Heterogeneous Data Mining for Planning Active Surveillance of Malaria.

Xiao Gu, Hechang Chen, Bo Yang

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014

Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks.

Xuehua Zhao, Bo Yang, Hechang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data.

Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014