Mengdi Wang
About
Mengdi Wang has authored 142 papers that have received a total of 1.7k indexed citations.
This includes 42 papers in Artificial Intelligence, 25 papers in Computational Mechanics and 19 papers in Molecular Biology. The topics of these papers are Sparse and Compressive Sensing Techniques (21 papers), Reinforcement Learning in Robotics (14 papers) and Stochastic Gradient Optimization Techniques (14 papers). Mengdi Wang is often cited by papers focused on Sparse and Compressive Sensing Techniques (21 papers), Reinforcement Learning in Robotics (14 papers) and Stochastic Gradient Optimization Techniques (14 papers) and collaborates with scholars based in China, United States and United Kingdom. Mengdi Wang's co-authors include Xiang Wu, Di Xiao, Ethan X. Fang, Shiying Xiong and Anru R. Zhang and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Molecular Cell.
In The Last Decade
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