Dr. Ye Shi graduated from the University of Technology, Sydney, Australia in 2018 and worked as a postdoctoral fellow at the University of Technology, Sydney, Australia from 2019 to 2020. In January 2021, Dr. Ishino joined the School of Information Science and Technology of ShanghaiTech University as an assistant professor, researcher, and doctoral supervisor. Dr. Ye Shi was selected into the Shanghai Leading Talents Program, the Shanghai Sail Program, and recived the National Natural Science Foundation of China. He has also won the National Scholarship for Outstanding International Students, the IEEE ICCSCE Best Paper Award, the University of Technology Sydney High-Level Thesis Award, the National Scholarship, etc. In addition, Dr. Ye Shi has served as a reviewer for internationally renowned journals, including IEEE TNNLS, TIP, TFS, JSAC, TSG, TPS, TII, TIE, etc.; and a reviewer for internationally renowned Class A artificial intelligence conferences, including ICML, NeurIPS, ICLR, CVPR, AAAI, etc.

Home page: https://shiye21.github.io/

Research area: 

• Trustworthy AI: controllable diffusion models, reliable reinforcement learning, heterogeneous federated learning;

• Deep Learning Basics: optimal transport, implicit differentiation, optimization layer, deep equilibrium models;

• AI \& Optimization Applications: humanoid robot, 3D vision, smart grid, learn to optimize, etc.