About Me

I am a third-year undergraduate at Fudan University, majoring in Statistics. My earlier research was at the intersection of statistics and machine learning, focused on conformal prediction.

More rescently, my interests have broadened toward the science of foundation models. I hope to understand the phenomena that occur during the training and emergence of models in a scientific way (controled experiments/mathmetical framework). Currently I'm working on adaptive computation, looped architectures, and what reinforcement learning actually does on top of pretrained priors. In the long run, I hope to help build a science of foundation models that produces rules we can predict with, not just descriptions that explain after the fact.

I am currently seeking a PhD position for Fall 2027. Please feel free to reach out by email if you are interested in my research or background.

News

May 2026

One paper is accepted to ICML 2026!

December 2025

I was honored to receive the Zheng Zukang Scholarship.

October 2025

I was honored to receive the National Scholarship.

June 2025

One paper was accepted by ICML 2025 Workshop.

Education

Department of Statistics and Data Science, Fudan University

BSc in Statistics, Zhuoyan Honor Program

Expected 2027

Experience

Princeton Language Intelligence, Princeton University

Research Intern, focus on agentic reinforcement learning & VLM

Hosts: Prof. Chi Jin and Chengshuai Shi

January 2026 - Present

Institute for Interdisciplinary Information Sciences, Tsinghua University

Research Intern, focus on looped transformer & adaptive computing

Host: Prof. Jingzhao Zhang

December 2025 - Present

Big AI Dream Lab, Shanghai AI Laboratory

Research Intern, focus on LLM post-train & formal language (Dafny)

Host: Jie Fu

July 2025 - October 2025

School of Statistics and Data Science, Shanghai University of Finance and Economics

Research Assistant, focus on conformal prediction

Host: Prof. Jiaye Teng

April 2024 - Present

Publications

* denotes equal contribution.

  1. Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
    Chengshuai Shi*, Wenzhe Li*, Xinran Liang*, Yizhou Lu, Wenjia Yang, Ruirong Feng, Seth Karten, Ziran Yang, Zihan Ding, Gabriel Sarch, Danqi Chen, Karthik Narasimhan, Chi Jin
    arXiv
  2. Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better
    Yizhou Min*, Yizhou Lu*, Lanqi Li*, Zhen Zhang, Jiaye Teng
    ICML 2026 Poster
  3. Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
    Mingyi Zheng*, Hongyu Jiang*, Yizhou Lu*, Jiaye Teng
    ICML 2025 NewInML Workshop

Awards

🏅
Zheng Zukang Scholarship, Fudan University 2024 - 2025, Top 1%
🏅
National Scholarship, Fudan University 2024 - 2025, Top 1%

Teaching