Peter Jin

7 papers and 397 indexed citations i.

Peter Jin has authored 7 papers that have received a total of 397 indexed citations. This includes 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Advanced Neural Network Applications (4 papers), Adversarial Robustness in Machine Learning (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Peter Jin is often cited by papers focused on Advanced Neural Network Applications (4 papers), Adversarial Robustness in Machine Learning (2 papers) and Stochastic Gradient Optimization Techniques (2 papers) and collaborates with scholars based in United States and United Kingdom. Peter Jin's co-authors include Kurt Keutzer, Xiangyu Yue, Amir Gholami, Bichen Wu and Sicheng Zhao and has published in prestigious journals such as and