Tianyu Pang  

Ph.D. Candidate

Room 1-509, FIT Building
Dept. of Computer Science and Technology
Tsinghua University
Beijing, China, 100084.

Email: pty17@mails.tsinghua.edu.cn; tianyupang3@gmail.com
Github: P2333

[Google Scholar] [Twitter]


I am a fourth-year bachelor-straight-to-PhD student of TSAIL Group in the Department of Computer Science and Technology, Tsinghua University, advised by Prof. Jun Zhu. Before that, I received my B.S. degree of Mathematics and Physics in 2017.

I was a visiting student from July, 2016 to September, 2016 in the Computational Biology Department, Carnegie Mellon University, advised by Prof. Wei Wu. I collaborated with Prof. Stefano Ermon from February, 2020 to June, 2020 (online) in the Computer Science Department, Stanford University. I was a research intern from August, 2019 to Novemeber, 2019 at Microsoft Research Asia (MSRA), advised by Yujing Wang. I am now a research intern from July, 2020 at MSRA, advised by Huishuai Zhang.

My research interests span the areas of machine learning and deep learning, including adversarial robustness, deep generative models, and representation learning. My research is supported by MSRA Fellowship and Baidu Scholarship.

Paper reading list of recent research on Robust ML

Bag of tricks for adversarial training


Honors & Awards



PC member: AAAI 2020
Reviewer: ICLR 2020, 2021
Reviewer: NeurIPS 2019, 2020
Reviewer: ICML 2019, 2020, 2021
Reviewer: CVPR 2019, 2020, 2021
Reviewer: ICCV 2019
Reviewer: ECCV 2020
Reviewer: AISTATS 2020
Reviewer: TPAMI 2019
Reviewer: TKDD 2019

Invited Talks


2019 Fall, TA in Machine Learning, instructed by Prof. Jun Zhu

© 2021 Tianyu Pang