Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks. - Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi; Jinlin Sun; Tianyi Xiong; Tenghai Qiu (CASE, 2020)

Multi-agent Cooperation and Competition with Two-Level Attention Network. - Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi; Huimu Wang (ICONIP (2), 2020)

Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. - Tianle Zhang; Zhen Liu 020; Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi (IJCNN, 2020)

Multi-robot Dynamic Task Allocation Based on Improved Auction Algorithm. - Shiguang Wu 001; Xiaojie Liu; Xingwei Wang 001; Xiaolin Zhou; Mingyang Sun (CACRE, 2021)

Multi-Robot Coverage Path Planning based on Deep Reinforcement Learning. - Xiaolin Zhou; Xiaojie Liu; Xingwei Wang 001; Shiguang Wu 001; Mingyang Sun (CSE, 2021)

Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. - Shiguang Wu 001; Zhiqiang Pu; Zhen Liu 020; Tenghai Qiu; Jianqiang Yi; Tianle Zhang (ICRA, 2021)

Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. - Shiguang Wu 001; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi (IROS, 2021)

Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration. - Zezhi Sui; Zhiqiang Pu; Jianqiang Yi; Shiguang Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Shiguang Wu 001 (AAAI, 2022)

Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems. - Yiqun Chen 004; Wei Yang; Tianle Zhang; Shiguang Wu 001; Hongxing Chang (IJCNN, 2022)

Multi-Agent Local Information Reconstruction for Situational Cognition. - Shiguang Wu 001; Zhiqiang Pu; Tianle Zhang; Tenghai Qiu; Jianqiang Yi (IJCNN, 2022)

Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. - Tianle Zhang; Zhen Liu 020; Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi (IJCNN, 2022)

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Hangyu Mao; Tianle Zhang; Shiguang Wu 001; Bin Zhang 052; Jianye Hao; Dong Li 016; Bin Wang 034; Hongxing Chang (CoRR, 2022)

Modal-aware Bias Constrained Contrastive Learning for Multimodal Recommendation. - Wei Yang; Zhengru Fang; Tianle Zhang; Shiguang Wu 001; Chi Lu (ACM Multimedia, 2023)

Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed. - Shiguang Wu 001; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi; Tianle Zhang (IEEE Trans. Ind. Informatics, 2023)

Attention Enhanced Reinforcement Learning for Multi agent Cooperation. - Zhiqiang Pu; Huimu Wang; Zhen Liu 020; Jianqiang Yi; Shiguang Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts. - Fei Ni 001; Jianye Hao; Shiguang Wu 001; Longxin Kou; Jiashun Liu; Yan Zheng 002; Bin Wang 034; Yuzheng Zhuang (CVPR, 2024)

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Hangyu Mao; Jiaxin Mao; Shiguang Wu 001; Tianle Zhang; Bin Zhang 052; Wei Yang; Hongxing Chang (IJCAI, 2024)

PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation. - Fei Ni 001; Jianye Hao; Shiguang Wu 001; Longxin Kou; Yifu Yuan; Zibin Dong; Jinyi Liu 002; Mingzhi Li; Yuzheng Zhuang; Yan Zheng 002 (NeurIPS, 2024)

Multiexperience-Assisted Efficient Multiagent Reinforcement Learning. - Tianle Zhang; Zhen Liu 020; Jianqiang Yi; Shiguang Wu 001; Zhiqiang Pu; Yanjie Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cognition-Oriented Multiagent Reinforcement Learning. - Tenghai Qiu; Shiguang Wu 001; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Yuqian Zhao; Biao Luo (IEEE Trans. Neural Networks Learn. Syst., 2025)