Weifan Li - RankMe

12 papers B 1C 1Journal 9Unranked 1

Year	Rank	Type	Title / 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

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski