Jiaxuan Zou
Undergraduate Student @ XJTU | Research Intern @ GSAI, RUC
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
| Feb 08, 2026 | 从 Gated DeltaNet 到 Kaczmarz |
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| Feb 01, 2026 | 如何对齐不同初始化大小下的 Data scaling 曲线 |
| Dec 30, 2025 | Can We Derive Scaling Law From First Principles? |