陈贺昌｜吉林大学｜学者主页

2026

Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy

Junhao Shi, Zezheng Huai, Siyin Wang, Jia Chen, Yubang Wang, Zhao-Ye Fei, Hechang Chen, Jingjing Gong, Xi-Peng Qiu, Yu-Gang Jiang

arXiv.org

DOI

2026

ETA: A New Agentic Paradigm for Embodied Tasks

Yi-Tong Chen, Zezheng Huai, Si-Xian Li, Yubang Wang, Haozhe Zhang, Yifei Zhang, Hechang Chen, Jingjing Gong, Yu-Gang Jiang, Xi-Peng Qiu

2026

Learning Optimal Policies With Local Observations for Cooperative Multiagent Reinforcement Learning

He Kong, Qianli Xing, Qi Wang, Hechang Chen, Run-Liang Niu, Zhi-Yi Duan, Shiqi Wang, Yi Chang, Irwin King

IEEE Transactions on Neural Networks and Learning Systems

DOI

2026

LH-AVLN: A Benchmark for Long-Horizon Audio-Visual-Language Navigation

Ru-Feng Chen, Yue Chang, Zili Shao, Zhao-Fan Zhang, Li Chen, Hechang Chen, Hui Xiong, Si-Hong Xie

arXiv.org

DOI

2026

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning

Ru-Feng Chen, Zhao-Fan Zhang, Zhejian Yang, Hechang Chen, Si-Hong Xie

arXiv.org

DOI

2026

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

Siyuan Guo, Yali Du, Hechang Chen, Yi Chang, Jun Wang

arXiv.org

DOI

2026

PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making

Ru-Feng Chen, Yue Chang, Xia-Qiang Tang, Hechang Chen, Sihong Xie

arXiv.org

DOI

2025

Attention correction feature and boundary constraint knowledge distillation for efficient 3D medical image segmentation

Xiangchun Yu, Longxiang Teng, Dingwen Zhang, Jian Zheng, Hechang Chen

Expert Systems With Applications，Vol. 262

DOI

2025

面向无目标后门攻击的投毒样本检测方法

逄淑超，李政骁，曲俊怡，马儒昊，陈贺昌，杜安安

《信息网络安全》

2025

HiPPO: Enhancing proximal policy optimization with highlight replay

Shutong Zhang, Xing Chen, Zhaogeng Liu, Hechang Chen, Yi Chang

Pattern Recognition

DOI

2025

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning

Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

neural information processing systems

DOI

2025

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents

Zhejian Yang, Yong-Chao Chen, Xue-Yang Zhou, Jiangyue Yan, D. Song, Yinuo Liu, Yuting Li, Yu Zhang, Pan Zhou, Hechang Chen, Lichao Sun

arXiv.org

DOI

2025

Decision Flow Policy Optimization

Ji-Feng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Da-Cheng Tao

arXiv.org

DOI

2025

Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces

Ji-Feng Hu, Sili Huang, Li Shen, Zhejian Yang, Sheng-Chao Hu, Shisong Tang, Hechang Chen, Lichao Sun, Yi Chang, Da-Cheng Tao

Neural Information Processing Systems

DOI

2025

Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models

Siyuan Guo, Huiwu Liu, Xiao-Long Chen, Yu-Ming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang

Knowledge Discovery and Data Mining

DOI

2025

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

2025

Leveraging Label Distributions as Anchors to Enhance Video Recommendation

Yulin Xu, Chao Cui, Shisong Tang, Fan Li, Bing Han, Huafeng Cao, Jiechao Gao, Hechang Chen

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning

Xinqi Du, Hechang Chen, Yongheng Xing, Philip S. Yu, Lifang He

Expert Systems With Applications，Vol. 245

DOI

2024

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy

Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang

Information Processing & Management，Vol. 61, No. 3

DOI

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 Systems With Applications，Vol. 237

DOI

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 Systems With Applications，Vol. 238

DOI

2024

Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning

Haiyin Piao, Shengqi Yang, Hechang Chen, Junnan Li, Jin Yu, Xuanqi Peng, Xin Yang, Zhen Yang, Zhixiao Sun, Yi Chang

ACM Transactions on Intelligent Systems and Technology

DOI

2024

Sample Efficient Offline-to-Online Reinforcement Learning

Siyuan Guo, Li-Xin Zou, Hechang Chen, B. Qu, Haotian Chi, Philip S. Yu, Yi Chang

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

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

International Conference on Machine Learning

DOI

2024

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal

Ji-Feng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Da-Cheng Tao

arXiv.org

DOI

2024

ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining

Yimin He, Shuchao Pang, Anan Du, Hechang Chen, Lele Cong, Mehmet Ali Orgun

Lecture notes in computer science

DOI

2024

Contextual Distillation Model for Diversified Recommendation

Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning

Sinuo Zhang, Jifeng Hu, Xinqi Du, Zhejian Yang, Yang Yu, Hechang Chen

DOI

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 Systems With Applications，Vol. 224

DOI

2023

[Review] 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 Systems With Applications，Vol. 215

DOI

2023

Large Language Models for Robotics: A Survey

Fan-Long Zeng, Wen-Sheng Gan, Zezheng Huai, Li-Chao Sun, Hechang Chen, Yongheng Wang, Ning Liu, Philip S. Yu

arXiv.org

DOI

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

ACM Web Conference (WWW)

DOI

2022

Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization

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

Lecture notes in computer science

DOI

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

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2021

A Scalable Redefined Stochastic Blockmodel

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

ACM Transactions on Knowledge Discovery from Data

DOI

2021

Unbiased Learning to Rank in Feeds Recommendation

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

ACM International Conference on Web Search and Data Mining (WSDM)

DOI

2020

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

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

Engineering Applications of Artificial Intelligence

DOI

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

Complexity

DOI

2019

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

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

IEEE Access

DOI

2019

Grid Partition and Agglomeration for Bidirectional Hierarchical Clustering

Lei Wu, Hechang Chen, Xiangchun Yu, Chao Sun, Zhezhou Yu, RuiTing Dou

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2018

面向传染病主动监控的异构数据挖掘方法研究

陈贺昌

《吉林大学》

2018

一种基于异域自适应的新型社团发现算法

段明月，黄晶，陈贺昌，金弟

《南京大学学报(自然科学)》

2018

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

Hechang Chen, Bo Xiong Yang, Hongbin Pei, Jiming Liu

IEEE Access

DOI

2018

Partially Observable Reinforcement Learning for Sustainable Active Surveillance

Hechang Chen, Bo Xiong Yang, Jiming Liu

Lecture notes in computer science

DOI

2018

Deep social collaborative filtering by trust

Yuan Jiang, Hechang Chen, Bo Xiong Yang

DOI

2017

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

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

IEEE Access

DOI

2016

Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2016

IASM: A System for the Intelligent Active Surveillance of Malaria

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

Computational and Mathematical Methods in Medicine

DOI

2015

Heterogeneous Data Mining for Planning Active Surveillance of Malaria

Xiao Gu, Hechang Chen, Bo Xiong Yang

DOI

2015

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

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

Knowledge-Based Systems

DOI

2014

基于超链接多样性分析的新型网页排名算法

杨博，陈贺昌，朱冠宇，赵学华

《计算机学报》

2014

Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data

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

Proceedings

DOI

2014

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

Xuehua Zhao, Bo Yang, Hechang Chen

Lecture notes in computer science

DOI

LLMV-A G E: V ERIFYING LLM-G UIDED P LANNING FOR A GENTIC E XPLORATION IN O PEN -W ORLD RL

Haotian Chi, Song-Wei Zhao, I. Tsang, Y. Ong, Hechang Chen, Yi Chang, Haiyan Yin

精选作品

期刊论文

Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy

ETA: A New Agentic Paradigm for Embodied Tasks

Learning Optimal Policies With Local Observations for Cooperative Multiagent Reinforcement Learning

LH-AVLN: A Benchmark for Long-Horizon Audio-Visual-Language Navigation

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making

Attention correction feature and boundary constraint knowledge distillation for efficient 3D medical image segmentation

面向无目标后门攻击的投毒样本检测方法

HiPPO: Enhancing proximal policy optimization with highlight replay

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents

Decision Flow Policy Optimization

Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces

Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning

Leveraging Label Distributions as Anchors to Enhance Video Recommendation

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy

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

Generalized multi-agent competitive reinforcement learning with differential augmentation

Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning

Sample Efficient Offline-to-Online Reinforcement Learning

Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO

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

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal

ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining

Contextual Distillation Model for Diversified Recommendation

Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning

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

[Review] Complex relationship graph abstraction for autonomous air combat collaboration: A learning and expert knowledge hybrid approach

Large Language Models for Robotics: A Survey

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

Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation

A Scalable Redefined Stochastic Blockmodel

Unbiased Learning to Rank in Feeds Recommendation

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

Deep Ensemble Learning for Human Action Recognition in Still Images

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

Grid Partition and Agglomeration for Bidirectional Hierarchical Clustering

面向传染病主动监控的异构数据挖掘方法研究

一种基于异域自适应的新型社团发现算法

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

Partially Observable Reinforcement Learning for Sustainable Active Surveillance

Deep social collaborative filtering by trust

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

Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare

IASM: A System for the Intelligent Active Surveillance of Malaria

Heterogeneous Data Mining for Planning Active Surveillance of Malaria

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

基于超链接多样性分析的新型网页排名算法

Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data

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

LLMV-A G E: V ERIFYING LLM-G UIDED P LANNING FOR A GENTIC E XPLORATION IN O PEN -W ORLD RL

预印本

Exposure-Debiased Sequential Recommendation via Preference Disentanglement

S3BM: A Poisson-based Scalable Stochastic Block Model for Large-scale Signed Networks

Coa-Tuning: Collaborative Adapter Ensembling with Prompt Enhancement for Class-Incremental Learning

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought

研究方向