Weifan Li

12 papers B 1C 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CMIP: Combining Constructive Model With Improvement Policy for Large-Scale Min-Max Multiple Traveling Salesman Problem.
IEEE Trans. Intell. Transp. Syst.
Binbin Zuo, Weifan Li, Jiankuo Zhao, Tianxiang Bai, Linqian Yang, Zhe Ma, Yuanheng Zhu
2024 J jnl
BViT: Broad Attention-Based Vision Transformer.
IEEE Trans. Neural Networks Learn. Syst.
Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie
2024 J jnl
High-Resolution and Wide-Span Terahertz Frequency Measurement Using Nonlinear Up-Conversion.
IEEE Trans. Instrum. Meas.
Qiaoqiao Fu, Pengxiang Liu, Wei Li, Feng Qi, Zibo Pang, Weifan Li, Yelong Wang, Zhaoyang Liu
2023 B conf
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning.
IJCNN
Weifan Li, Yuanheng Zhu, Dongbin Zhao
2023 J jnl
Empirical Policy Optimization for n-Player Markov Games.
IEEE Trans. Cybern.
Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao
2023 C conf
Naruto Mobile: AI Sparring Partner Using Heterogeneous Deep Reinforcement Learning.
CoG
Elvis S. Liu, Weifan Li, Yuan Zhou, Hugh Cao, Zhengwen Zeng
2023 J jnl
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios.
IEEE Trans. Neural Networks Learn. Syst.
Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2022 J jnl
BViT: Broad Attention based Vision Transformer.
CoRR
Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao
2022 J jnl
Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target.
Complex Intell. Syst.
Weifan Li, Yuanheng Zhu, Dongbin Zhao
2022 J jnl
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios.
CoRR
Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2019 — conf
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games.
SSCI
Weifan Li, Yuanheng Zhu, Dongbin Zhao
2013 J jnl
Input Space Partitioning for Neural Network Learning.
Int. J. Appl. Evol. Comput.
Shujuan Guo, Sheng-Uei Guan, Weifan Li, Ka Lok Man, Fei Liu, A. K. Qin