About me

I am currently a 3rd-year Computer Science and Engineering Ph.D. candidate at University of California, Santa Cruz, fortunately advised by Prof. Yang Liu!

My research interests are robust learning with imperfect data (weakly supervised learning), incentive design for data collection, adversarial machine learning.

Previously, I received my Master of Science degree (Data Science) at Brown University and B. S. degree in Honors Science (Mathematics and Applied Mathematics) & Honors Youth (Gifted Young) from Xi’an Jiaotong University.


[2022. 08] Invited talk from AI-Time.

[2022. 07] Oral presentation at ICML 2022 (Deep Learning: Robustness).

[2022. 07] One paper accepted to ECCV 2022.

[2022. 06] Invited talk from AI-Time.

[2022. 05] One paper accepted to ICML 2022 (Long Presentation, 2.1%).

[2022. 04] Call for participation: 1st Learning and Mining with Noisy Labels Challenge at IJCAI-ECAI 2022 [link].

[2022. 02] I start my journey at Google Brain (student researcher), fortunately advised by Abhishek Kumar and Ehsan Amid!

[2022. 01] One paper accepted to ICLR 2022.

[2021. 12] I become a PhD candidate (with Honors).

[2021. 11] noisylabels.com is online! We collected and published re-annotated versions of the CIFAR-10 and CIFAR-100 data which contain real-world human annotation errors.

[2021. 11] I gave a short talk in the Weakly Supervised Learning (WSL) workshop at ACML 2021.

[2021. 02] One paper accepted to AISTATS 2021.

[2021. 01] One paper accepted to ICLR 2021.

Conference Review

Reviewer at AAAI 2020, AISTATS 2021, CVPR 2021, ICCV 2021, NeurIPS 2021, ICLR 2022, CVPR 2022, ICML 2022.