Steven Wu
Assistant Professor
Computer Science & Engineering Department
University of Minnesota
Assistant Professor
Computer Science & Engineering Department
University of Minnesota
My name is Zhiwei Steven Wu. I am an Assistant Professor at the University of Minnesota in the Computer Science & Engineering Department. I spent a year as a post-doctoral researcher at Microsoft Research-New York City. Before that, I received my PhD in Computer Science from the University of Pennsylvania, where I was extremely fortunate to have been co-advised by Michael Kearns and Aaron Roth.
I am broadly interested in algorithms and machine learning, especially in the areas of privacy-preserving data analysis, fairness in machine learning, and algorithmic economics.
My research has been generously supported by the National Science Foundation, a Google Faculty Research Award, a J.P. Morgan Faculty Award, a Facebook Research Award, and a Mozilla Research Grant.
My CV can be found here.
I am currently
looking for self-motivated and mathematically mature PhD
students!
July, 2019
I received a Mozilla Research Grant.
June, 2019
One paper accepted at FOCS'19.
April, 2019
One paper accepted at EC'19.
April, 2019
Three papers accepted at ICML'19.
Feb, 2019
I received a Google Faculty Research Award.
Feb, 2019
I received a J.P. Morgan Faculty Award.
Jan, 2019
One paper accepted at The Web Conference'19 with oral presentation.
Jan, 2019
With Haiyi Zhu, we received the Facebook Mechanism Design for Social Good research award.
Fall 2019
Program Committees
ICLR 2020 (area chair)
FAT* 2019 (track co-chair)
TheWebConf 2020, 2018
EC 2019, 2018
ICML 2018, 2017
TPDP 2019
AAAI 2019
NIPSML4H18
Other
During my undergraduate, I was involved in the Bard Prison Initiative and serving as a math tutor in New York Eastern Correctional Facility.
Workshop
Recent Developments in Research on Fairness. The Simons Institute for the Theory of Computing, Berkeley, CA. July 8-10, 2019.