Tianyi Chen

Tianyi Chen is a senior researcher in Microsoft’s Applied Sciences Group (ASG).

He received his Ph.D. degree in applied mathematics and his M.S. degree in computer science from Johns Hopkins University in 2018; his B.S. degree was in mathematics from Dalian University of Technology in 2014; he is currently pursuing a (part-time) M.S. degree in physics from the University of Washington.

Before joining ASG, Tianyi was an applied scientist in Microsoft’s InkAI team developing various deep-learning methods for solving inking scenarios.

He has a broad interest in development ranging from computer vision, optimization, and natural language processing techniques.

• OTOV2: Automatic, Generic, User-Friendly

  The Eleventh International Conference on Learning Representations (ICLR), 2023 June, 2023 Pages 1-25

  By Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov, Zhihui Zhu
• Only Train Once: A One-Shot Neural Network Training And Pruning Framework

  35th Conference on Neural Information Processing Systems (NeurIPS 2021) July, 2021

  By Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu