Me
Wanjia Zhao (赵万佳)
CS PHD Student @ Stanford

About

Hi, I am a CS PhD student at Stanford. I obtained my B.S. (Honors) degree in Mathematics and Applied Mathematics from Zhejiang University, where I was honored to be advised by Prof. Fei Wu. Previously, I was a research intern at Microsoft Research Asia and an AGI intern at DeepSeek AI. 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. 2020 - Jun. 2024
                     Zhejiang University (ZJU) , Hangzhou, China.
                     B.S.(Honors) in Mathematics and Applied Mathematics

Experiences

  • Jun. 2024 -- Sept. 2024, DeepSeek AI , Beijing, China
         AGI 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

  • News

    • 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.

    Publications and Manuscripts

    Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
    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
    Preperint, 2024

    Positive Distribution Pollution: Rethinking Positive Unlabeled Learning From a Unified Perspective
    AAAI Conference on Artificial Intelligence (AAAI 2023)
    [ Paper] [www]

    Selected Honors & Awards

    Teaching

  • Math 061B0020: Complex Variable Functions & Integral Transformation - Fall 2023
         Teaching Assistant (TA), with Prof. Xiang Xu
  • Math 0609001001(Graduate Courses): Applied Mathematical Methods - Winter 2023
         Teaching Assistant (TA), with Prof. Xiang Xu
  • Academic Services

    Conference Reviewer: NeurIPS, COLING, IJCAI, ACM MM
    Journal Reviewer: IEEE Transactions on Big Data, PLOS ONE
    Volunteer: KDD 2023, NeurIPS 2023

    Miscellaneous

    I love running, piano, debating, traveling and so much more.
    🎤 Champion and Best Debater of the CKC Honors College Debate Tournament
    🏃‍♀️ Runner-up of the Women's Pentathlon at Zhejiang University
    🎹 Pianist of amateur level 10

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