Yifeng Teng (滕依峰)

I'm a research scientist in the Algorithms and Optimization team at Google Research New York. I'm broadly interested in theoretical computer science and economics, primarily in algorithmic game theory, mechanism design, online algorithms and learning theory.

Prior to joining Google Research, I received my Ph.D. and M.S. in Computer Sciences from University of Wisconsin-Madison, where I was fortunate to be advised by Professor Shuchi Chawla. Before joining UW-Madison, I received my B.Eng in Computer Science from Institute for Interdisciplinary Information Sciences (Yao Class) at Tsinghua University, advised by Professor Pingzhong Tang. During my graduate and undergraduate studies, I interned at Google and Microsoft Research Asia, working on auctions and algorithms.

Here is my CV (Last updated: Oct 2022).



           with Shuchi Chawla and Christos Tzamos. SIGecom Exchanges, 2020.


           with Shuchi Chawla, Rojin Rezvan and Christos Tzamos. WINE 2023.

           with Robert Kleinberg, Renato Paes Leme and Jon Schneider. COLT 2023.

           with Paul Dütting, Evangelia Gergatsouli, Rojin Rezvan and Alexandros Tsigonias-Dimitriadis. EC 2023.

           with Renato Paes Leme, Balasubramanian Sivan and Pratik Worah. EC 2023.

           with Zihan Tan and Mingfei Zhao. WWW 2023.

           with Renato Paes Leme, Balasubramanian Sivan and Pratik Worah. SODA 2023.

           Spotlight talk with panel discussion at RMP 2022.

           with Melika Abolhassani, Hossein Esfandiari, Yasamin Nazari, Balasubramanian Sivan, and Creighton Thomas. WINE 2022.

           with Shuchi Chawla, Rojin Rezvan and Christos Tzamos. STOC 2022.

           with Renato Paes Leme, Balasubramanian Sivan and Pratik Worah. ICML 2021.

           with Shuchi Chawla, Evangelia Gergatsouli, Christos Tzamos and Ruimin Zhang. FOCS 2020.

           Evangelia's poster in IPCO 2023 received Best Poster Award.

           with Shuchi Chawla and Christos Tzamos. EC 2020.

           with Renato Paes Leme and Balasubramanian Sivan. WWW 2020.

           with Shuchi Chawla, Shaleen Deep and Paraschos Koutris. VLDB 2020.

           with Shuchi Chawla and Christos Tzamos. EC 2019.

           Invited to Special Issue.

           Journal version in Games and Economic Behavior (GEB) Volume 134, 2022.

           with Shuchi Chawla and Benjamin Miller. SODA 2019.

           with Pingzhong Tang, Zihe Wang, Shenke Xiao and Yichong Xu. AAAI 2017.

           with Shenghao Yang, Siwei Wang and Mingfei Zhao. IEEE Transactions on Information Theory, 62(4), 2016.

Academic Services

Conference reviewer: ALT'24, SODA'24, WINE'23, FOCS'23, EC'23, STOC'23, ITCS'23, SODA'23, EC'22, STOC'22, WWW'22, ITCS'22, AAAI'22, SODA'22, WINE'21, FOCS'21, EC'21, STOC'21, AAAI'21, WINE'20, NeurIPS'20, EC'20, STOC'20, AAAI'20, SODA'20, ICALP'19, STOC'19, ESA'18, EC'18.

Journal reviewer: Games and Economic Behavior (GEB), SIAM Journal on Computing (SICOMP), Artificial Intelligence (AIJ).