Min Si

47 total papers · 425 total citations
4 papers, 16 citations indexed

Min Si is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Min Si has authored 4 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Hardware and Architecture. Recurrent topics in Min Si’s work include Machine Learning and Data Classification (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Advanced Neural Network Applications (1 paper). Min Si is often cited by papers focused on Machine Learning and Data Classification (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Advanced Neural Network Applications (1 paper). Min Si collaborates with scholars based in United States, Canada and Japan. Min Si's co-authors include Pavan Balaji, Wu-chun Feng, Jeff R. Hammond, Yutaka Ishikawa, Masamichi Takagi, Antonio J. Peña, Sayan Ghosh, Ryan E. Grant and Zhiyi Huang and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Micro and Parallel Computing.