Input Space Partitioning for Neural Network Learning. - Shujuan Guo; Sheng-Uei Guan; Weifan Li; Ka Lok Man; Fei Liu 003; A. Kai Qin (Int. J. Appl. Evol. Comput., 2013)

Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. - Weifan Li; Yuanheng Zhu; Dongbin Zhao (SSCI, 2019)

BViT: Broad Attention based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao (CoRR, 2022)

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. - Jiajun Chai; Weifan Li; Yuanheng Zhu; Dongbin Zhao; Zhe Ma; Kewu Sun; Jishiyu Ding (CoRR, 2022)

Naruto Mobile: AI Sparring Partner Using Heterogeneous Deep Reinforcement Learning. - Elvis S. Liu; Weifan Li; Yuan Zhou; Hugh Cao; Zhengwen Zeng (CoG, 2023)

Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. - Weifan Li; Yuanheng Zhu; Dongbin Zhao (IJCNN, 2023)

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. - Jiajun Chai; Weifan Li; Yuanheng Zhu; Dongbin Zhao; Zhe Ma; Kewu Sun; Jishiyu Ding (IEEE Trans. Neural Networks Learn. Syst., 2023)

Empirical Policy Optimization for n-Player Markov Games. - Yuanheng Zhu; Weifan Li; Mengchen Zhao; Jianye Hao; Dongbin Zhao (IEEE Trans. Cybern., 2023)

High-Resolution and Wide-Span Terahertz Frequency Measurement Using Nonlinear Up-Conversion. - Qiaoqiao Fu; Pengxiang Liu; Wei Li; Feng Qi; Zibo Pang; Weifan Li; Yelong Wang; Zhaoyang Liu (IEEE Trans. Instrum. Meas., 2024)

BViT: Broad Attention-Based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao; Shuai Nie (IEEE Trans. Neural Networks Learn. Syst., 2024)