Tianyu Pang  

Senior Research Scientist

Sea AI Lab
1 Fusionopolis Place, #16
Galaxis, Singapore 138522

Email: tianyupang@sea.com; tianyupang3@gmail.com
Github: P2333

[Google Scholar] [Twitter]

Biography

I am a Senior Research Scientist at Sea AI Lab (SAIL). I received my Ph.D. degree from 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 from Tsinghua University in 2017. 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, including trustworthy machine learning and deep generative models. My research was supported by MSRA Fellowship and Baidu Scholarship.

My PhD Thesis (in Chinese) has been selected as CAAI Outstanding Doctoral Dissertation Award.

We are currently hiring Research Interns working on Trustworthy AI for Large Models. Please do not hesitate to contact me if you are interested and meet the minimum Requirements.

Publications

(* indicates equal contribution)

Honors & Awards

Competitions

Services

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, 2023, 2024
ICLR 2020, 2021, 2022, 2023, 2024, 2025
NeurIPS 2019, 2020, 2021, 2022, 2023, 2024
AISTATS 2020, 2022, 2023, 2024
CVPR 2019, 2020, 2021, 2022, 2023, 2024
ICCV 2019, 2021, 2023
ECCV 2020, 2022, 2024
AAAI 2020

I was a reviewer of journals:
TPAMI, IJCV, TNNLS, TKDD, TIFS, ACM TOPS, SPL, MLJ, Neurocomputing

Invited Talks

Teaching

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

© 2024 Tianyu Pang