Shiguang Wu

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 22

Top Topics

Relational Graph

Collision Avoidance

Reinforcement Learning

Dynamic Task Allocation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shiguang Wu, Yaqing Wang, Quanming Yao
Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction. CoRR (2023)
Zhiqiang Pu, Huimu Wang, Zhen Liu, Jianqiang Yi, Shiguang Wu
Attention Enhanced Reinforcement Learning for Multi agent Cooperation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. CoRR (2023)
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR (2023)
Shiguang Wu, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang
Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed. IEEE Trans. Ind. Informatics 19 (1) (2023)
Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren
Learning Robust Sequential Recommenders through Confident Soft Labels. CoRR (2023)
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW (2023)
Wei Yang, Zhengru Fang, Tianle Zhang, Shiguang Wu, Chi Lu
Modal-aware Bias Constrained Contrastive Learning for Multimodal Recommendation. ACM Multimedia (2023)
Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang
Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems. IJCNN (2022)
Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. CoRR (2022)
Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi
Multi-Agent Local Information Reconstruction for Situational Cognition. IJCNN (2022)
Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi
Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. IJCNN (2022)
Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. CoRR (2022)
Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. AAAI (2022)
Xiaolin Zhou, Xiaojie Liu, Xingwei Wang, Shiguang Wu, Mingyang Sun
Multi-Robot Coverage Path Planning based on Deep Reinforcement Learning. CSE (2021)
Shiguang Wu, Xiaojie Liu, Xingwei Wang, Xiaolin Zhou, Mingyang Sun
Multi-robot Dynamic Task Allocation Based on Improved Auction Algorithm. CACRE (2021)
Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Shiguang Wu
Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang
Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. ICRA (2021)
Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi
Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. IROS (2021)
Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Jinlin Sun, Tianyi Xiong, Tenghai Qiu
Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks. CASE (2020)
Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang
Multi-agent Cooperation and Competition with Two-Level Attention Network. ICONIP (2) (2020)
Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi
Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. IJCNN (2020)