Hi, welcome to my page. I am Changrui, you can also call me Ray. Now I am a PhD candidate at CS department of City University of Hong Kong(CityUHK), where I am supervised by Prof. MA Ziye(马梓业). Before that, I was an undergraduate student at Wuhan University, majoring in Information and Computational Science (also called Computational Mathematics), where I was fortunate to receive guidance from Prof. ZHANG Jiwei(张继伟) and Prof. HU Jie(胡捷).

My research interest:

  • Data centric AI: LLM data selection
  • Optimization: optimization landscape, training dynamics

Here are my CVs(Curriculum Vitae): CV in English ・ CV in Chinese

🎯 News

📚 Publications

No formal publications yet. Currently working on preprints related to optimization and machine learning.

🏅 Honors and Awards

  • 2025.04 ‧ Outstanding undergraduate graduates of the School of Mathematics and Statistics, Wuhan University
    Selected as one of the top graduates for exceptional academic and research performance.

  • 2023.12 ‧ National Encouragement Scholarship.

  • 2023.12 ‧ Excellent Student Scholarship, Wuhan University
    Awarded based on GPA and overall performance.

  • 2023.11 ‧ National Second Prize, China Undergraduate Mathematical Contest in Modeling (CUMCM)
    Top 2% of 180,000 participants. Team members: LIAO Yang, ZHOU Dingbo.

  • 2021.09 ‧ Freshman Scholarship
    The top 10% of Anhui students of Wuhan University Class of 2021

📖 Educations

  • 2026.09 - Present, PhD candidate, Computer Science, City University of Hong Kong, Hong Kong.
  • 2025.09 - 2026.08, PhD student, Computer Science, City University of Hong Kong, Hong Kong.
  • 2023.02 - 2025.06, Undergraduate, Information and Computational Science, Wuhan University, Wuhan.
  • 2021.09 - 2023.02, Undergraduate, Hongyi Honor College(Mathematics), Wuhan University, Wuhan.
  • 2018.09 - 2021.06, Chuzhou High School, Chuzhou

🏫 Teaching

  • 2026 Fall ‧ GE1362: Exploring Generative AI in Practice Teaching Assistant
  • 2026 Spring ‧ CS6487: Topics in Machine Learning Teaching Assistant
  • 2025 Fall ‧ GE1362: Exploring Generative AI in Practice Teaching Assistant

📸 Hobbies

  • Traveling with my girlfriend 🥰
  • Photography 📸
  • Running 🏃🏻‍➡️

Knowledge archive

📝 Reading Notes (Latest updates)

A growing collection of my notes on textbooks, courses, and technical materials.

6 notes 4 updating 2 completed Checking GitHub updates…
All of Statistics cover
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All of Statistics

Larry Wasserman

Textbook notes covering core statistical concepts, inference, and theory.

围绕统计学核心概念、推断方法与理论基础整理的教材笔记。

LLM Tutorial cover
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LLM Tutorial

Large Language Models

Learning notes on the foundations, training, and practice of large language models.

大语言模型相关基础、训练方法与实践内容的学习记录。

Machine Learning cover
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Machine Learning

Stanford University · CS229

Notes from Stanford CS229 on supervised learning, unsupervised learning, and learning theory.

Stanford CS229 机器学习课程笔记,涵盖监督学习、无监督学习与学习理论。

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Language Modeling from Scratch

Stanford University · CS336

Course notes on building language models from scratch, from data to training systems.

从零构建语言模型,记录模型架构、训练系统与数据处理等课程内容。