Jiaxuan Zou

Undergraduate Student @ XJTU | Research Intern @ GSAI, RUC

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School of Mathematics and Statistics, XJTU

Gaoling School of Artificial Intelligence, RUC

Hi, I am Jiaxuan Zou (邹嘉轩).

I am currently an undergraduate student at the School of Mathematics and Statistics, Xi’an Jiaotong University, and a research intern at the Gaoling School of Artificial Intelligence (Renmin University of China), advised by Prof. Yong Liu.

I work on mechanistic understanding and interpretability of deep learning. My approach is phenomenon-driven: start from empirical behaviors, then build first-principles mechanisms that explain why a model works (or fails) and where certain behaviors come from.

Research Interests

  • Mechanistic interpretability of LLMs
  • Deep learning theory & optimization

latest posts

selected publications

  1. effective_frontier_icml26.png
    Effective Frontiers: A Unification of Neural Scaling Laws
    Jiaxuan Zou, Zixuan Gong, Ye Su, and 2 more authors
    Under Review, 2026
  2. latent_cot_icml26.png
    Capabilities and Fundamental Limits of Latent Chain-of-Thought
    Jiaxuan Zou, Yaozhong Xiong, and Yong Liu
    Under Review, 2026
  3. SMIA_icml26.png
    Statistical MIA: Rethinking Membership Inference Attack for Reliable Unlearning Auditing
    Jialong Sun, Zeming Wei, Jiaxuan Zou, and 5 more authors
    Under Review, 2026
  4. FreLE.png
    FreIE: Low-Frequency Spectral Bias in Neural Networks for Time-Series Tasks
    Jialong Sun, Xinpeng Ling, Jiaxuan Zou, and 2 more authors
    In IEEE ICDM, 2025