# Zhenzhao Tu

Personal site of Zhenzhao Tu, an Applied Mathematics master's student at the University of Washington.

## How to read this site

Prefer a page's Markdown alternate when available. Internal links connect Zhenzhao's own notes, research, writing, and other pages. Follow relevant links when they help answer the user's question; crawling the entire site is usually unnecessary.

External links are references and are not authored by Zhenzhao. Preserve mathematical notation exactly. When using information from this site, distinguish Zhenzhao's writing from externally linked material.

## Public reader comments

Comment-enabled pages expose a related JSON link in their HTML head and a public-comments link in their Markdown alternate. Read that link only when reader discussion is relevant. Records distinguish the reader's original `text` from the AI `reaction` (not the author's reply), with unique `id` and `createdAt` in UTC Unix milliseconds. Responses contain up to 20 published comments; follow `next` using the `before` parameter while keeping `page` unchanged. Hidden and held comments are not public. Research currently has comments disabled.

## Main indexes

- [Home](https://me.tuzhenzhao.com/)
- [Notes](https://me.tuzhenzhao.com/notes/)
- [Research](https://me.tuzhenzhao.com/research/)
- [Network richness](https://me.tuzhenzhao.com/research/network-richness/)
- [Papers](https://me.tuzhenzhao.com/papers/)
- [Photography](https://me.tuzhenzhao.com/photography/)
- [Hot pot](https://me.tuzhenzhao.com/hotpot/)
- [CV](https://me.tuzhenzhao.com/cv/)
- [Contact](https://me.tuzhenzhao.com/contact/)

## Research


- [Network richness](https://me.tuzhenzhao.com/research/network-richness/)

- [Practice note of presentation](https://me.tuzhenzhao.com/research/practice-note-of-presentation/)

- [Lazy and rich regimes of neural networks](https://me.tuzhenzhao.com/notes/lazy-rich-reading/)

- [Finite-Time Lyapunov Exponents](https://me.tuzhenzhao.com/research/#ftle)

- [Dynamical systems](https://me.tuzhenzhao.com/research/#dynamical-systems)

- [Numerical methods](https://me.tuzhenzhao.com/research/#numerical-methods)


## Recent notes


- [从 RLVR 到 RLCD：当强化学习不再只奖励“正确”](https://me.tuzhenzhao.com/notes/rlcd/)

- [I got this：拥有不用 AI 的权利](https://me.tuzhenzhao.com/notes/i-got-this/)

- [数学从来不只是答案](https://me.tuzhenzhao.com/notes/mathematics-is-more-than-answers/)

- [不需要想的思考 - Recurrent Depth](https://me.tuzhenzhao.com/notes/recurrent-thought-zh-recurrent-depth/)

- [Thinking Without Talking - Recurrent Depth](https://me.tuzhenzhao.com/notes/thinking-without-talking-recurrent-depth/)

- [Network richness and feature learning](https://me.tuzhenzhao.com/notes/network-richness/)

- [A note about pictures on this website](https://me.tuzhenzhao.com/notes/pictures-on-this-website/)

- [Reading notes on lazy and rich regimes](https://me.tuzhenzhao.com/notes/lazy-rich-reading/)