I am a PhD student in the Department of Electrical Engineering and Computer Science at the University of Michigan, advised by Prof. Mingyan Liu. I received my M.Sc. degree in Electrical and Computer Engineering from University of Michigan in 2016, and B.Eng. degree in Electronic and Information Engineering from Beihang University (BUAA), Beijing, China, in 2015.My research focuses on the societal aspects of machine learning and algorithmic decision-making, especially in the areas of privacy, security, and fairness. I study these problems using approaches from machine learning, statistics, optimization, game theory, and economics. For more details, please see my research statement and publications.
I will be joining the Department of Computer Science and Engineering at The Ohio State University as an Assistant Professor in Fall 2021. I am looking for highly motivated students. Please see group page for details.
- [12/2020] - One paper got accepted to the 35th AAAI Conference on Artificial Intelligence (AAAI).
- [10/2020] - I was selected to participate in EECS Rising Stars workshop.
- [09/2020] - One paper got accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS).
- [07/2020] - I gave a talk at the University of Michigan-Shanghai Jiao Tong University Joint Institute.
- [07/2020] - We (with Swetasudha Panda and Emily Black) organized the session Fairness and bias in ML and NLP at the WiML Un-Workshop at ICML 2020.
- [04/2020] - I was awarded Rackham Predoctoral Fellowship.
- [03/2020] - One paper got accepted to 2020 American Control Conference (ACC).
- [02/2020] - I gave a talk on Graduation Day at Information Theory and Applications (ITA) Workshop.