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2020 – today
- 2024
[j5]Qiaoqiao Fu, Pengxiang Liu
, Wei Li, Feng Qi, Zibo Pang, Weifan Li, Yelong Wang, Zhaoyang Liu:
High-Resolution and Wide-Span Terahertz Frequency Measurement Using Nonlinear Up-Conversion. IEEE Trans. Instrum. Meas. 73: 1-7 (2024)- [j4]Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie:
BViT: Broad Attention-Based Vision Transformer. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12772-12783 (2024) - 2023
- [j3]Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao:
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53(10): 6443-6455 (2023) - [j2]Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding:
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2093-2104 (2023) - [c3]Elvis S. Liu, Weifan Li, Yuan Zhou, Hugh Cao, Zhengwen Zeng:
Naruto Mobile: AI Sparring Partner Using Heterogeneous Deep Reinforcement Learning. CoG 2023: 1-8 - [c2]Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - 2022
- [i2]Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao:
BViT: Broad Attention based Vision Transformer. CoRR abs/2202.06268 (2022) - [i1]Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding:
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR abs/2203.14477 (2022)
2010 – 2019
- 2019
- [c1]Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. SSCI 2019: 57-63 - 2013
- [j1]Shujuan Guo, Sheng-Uei Guan, Weifan Li, Ka Lok Man, Fei Liu, A. Kai Qin:
Input Space Partitioning for Neural Network Learning. Int. J. Appl. Evol. Comput. 4(2): 56-66 (2013)
Coauthor Index
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