About

Hi, I am a first-year Computer Science Ph.D. student at Stanford, where I am fortunately to be rotating with Prof. James Zou and Prof. Stefano Ermon. I obtained my B.S. (Honors) degree in Mathematics and Applied Mathematics from Zhejiang University.
Previously, I was a research intern at DeepSeek AI and Microsoft Research Asia. Before that, I was also a visiting research student at UCLA Scalable Analytics Institute (ScAi), supervised by Prof. Yizhou Sun and Prof. Wei Wang.

Education

Ph.D. Sep. 2024 - Present Stanford University, Palo Alto, CA, U.S. Ph.D. student in Computer Science
B.S. Sep. 2x020 - Jun. 2024 Zhejiang University (ZJU) , Hangzhou, China. B.S.(Honors) in Mathematics and Applied Mathematics Advisor: Prof. Fei Wu

Jun. 2024 -- Sept. 2024, DeepSeek AI , Beijing, China Research Intern, Work on LLM for mathematical reasoning

Feb. 2024 -- Jun. 2024, Machine Learning Group, Microsoft Research Lab - Asia, Beijing, China Research Intern, Work on LLM for decision making

Jun. 2023 -- Oct. 2023, University of California Los Angeles (UCLA), Los Angeles, CA, U.S. Visiting Research Student, Work on Physics informed ML Supervisor: Prof. Yizhou Sun and Prof. Wei Wang

One paper accepted to NeurIPS 2024.
Awarded SenseTime Scholarship, a research scholarship selecting 30 undergraduate AI talents in China.
Our paper was selected for the Best Paper Award and a Spotlight Talk at the Neurips 2023 DLDE Workshop!
One paper on Physics informed Machine Learning (TANGO) now available on arXiv.
One paper accepted to AAAI 2023.

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling

Zijie Huang*, Wanjia Zhao*, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang (* equal contribution)

[ Paper] [www] [Code] [Project Website]

Conference on Neural Information Processing Systems (NeurIPS 2024) Best Paper Award @ NeurIPS 2023 DLDE

DeepSeek-Prover-V1. 5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Huajian Xin, ZZ Ren, Junxiao Song, Zhihong Shao, Wanjia Zhao, Haocheng Wang, Bo Liu, Liyue Zhang, Xuan Lu, Qiushi Du, Wenjun Gao, Qihao Zhu, Dejian Yang, Zhibin Gou, ZF Wu, Fuli Luo, Chong Ruan

[ Paper] [www] [Code] [Huggingface] [X.com]

International Conference on Learning Representations (ICLR 2025)

Positive Distribution Pollution: Rethinking Positive Unlabeled Learning From a Unified Perspective

Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng

AAAI Conference on Artificial Intelligence (AAAI 2023)

[ Paper] [www]