Weixun Wang
About
Weixun Wang has authored 36 papers that have received a total of 1.6k indexed citations.
This includes 10 papers in Hardware and Architecture, 9 papers in Molecular Biology and 8 papers in Artificial Intelligence. The topics of these papers are Parallel Computing and Optimization Techniques (10 papers), Reinforcement Learning in Robotics (8 papers) and Embedded Systems Design Techniques (8 papers). Weixun Wang is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Reinforcement Learning in Robotics (8 papers) and Embedded Systems Design Techniques (8 papers) and collaborates with scholars based in United States, China and Canada. Weixun Wang's co-authors include Prabhat Mishra, Jianye Hao, Michael H. Hecht, Nathan A. Yates and Yujing Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Chemistry
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