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 final-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.

Recently I am a research intern at Sea AI Lab, advised by Min Lin. I was a research intern from August, 2019 to Novemeber, 2019 (advised by Yujing Wang) and from July, 2020 to February, 2021 (advised by Huishuai Zhang) at Microsoft Research Asia. I collaborated with Prof. Stefano Ermon from February, 2020 to June, 2020 (online) in the Computer Science Department, Stanford University. I was a visiting student from July, 2016 to September, 2016 in the Computational Biology Department, Carnegie Mellon University, advised by Prof. Wei Wu.

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



I was an organizer of:
AAAI 2022 Workshop (Adversarial Machine Learning and Beyond) [link]
ICML 2021 Workshop (A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning) [link]
ICCV 2021 Workshop (Adversarial Robustness in the Real World) [link]

I was a reviewer / PC member of conferences:
ICML 2019, 2020, 2021, 2022
ICLR 2020, 2021, 2022
NeurIPS 2019, 2020, 2021
AISTATS 2020, 2022
CVPR 2019, 2020, 2021, 2022
ICCV 2019, 2021
ECCV 2020
AAAI 2020

I was a reviewer of journals:
TPAMI, IJCV, TNNLS, TKDD, T-IFS, Neurocomputing

Invited Talks


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

© 2022 Tianyu Pang