Li Yueyao’s Academicpages

Hi, I am a first-year Mphil student in Computer and Information Engineering at The Chinese University of Hong Kong, Shenzhen. My research interests include decentralized finance, multimedia applications, and machine learning.

I am very fortunate to be advised by Prof. Caiwei of Human-Crypto Society Laboratory Human-Crypto Society Laboratory.

Email / Github / Wechat / Medium

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Education

The Chinese University of Hong Kong, Shenzhen

Major in Applied Mathematics (Bachelor’s Degree)

2019-09 ~ 2023-06

Relevant Courses: Linear Algebra/Ordinary Differential Equations/Data Structures/Machine Learning/Image Processing and Computer Vision/Optimization/Game Design and Development/Computer Graphics/Software Development

Honors/Awards: Outstanding Student Assistant, 2019-2022; Second Prize in the National College Student Mathematics Modeling Competition (CUMCM) in Guangdong Province

The Chinese University of Hong Kong, Shenzhen

Major in Computer and Information Engineering (Mphil Master’s Degree)

2023-09 ~ Expected 2025-06

Relevant Courses: Data Analysis/Advanced Wireless Transmission/Blockchain

Academic Achievement: ACM-MM Second Author, “BranchClash: A Fully On-Chain Tower Defense Blockchain Game with New Collaboration Mechanism”

Teaching and Services

Tencent i-MUR Galaxy Signal Research Project - Online

User Research Assistant

2022-04 ~ 2023-10

What I did: Analyzed user behavior data to identify key gameplay and highlights of popular new games. Utilized technical knowledge to analyze hot products, comparing GAN and VAE, and studying the advantages of the Diffusion Model in T2V Make-A-Video, Phenaki, and Imagen. Five articles were adopted by the official account, achieving a ranking in the top 15%.

Collaborated with the user research manager on student evaluations and comments in subsequent semesters.

Antalpha Venture Capital - Online

Financial Analysis Intern

2023-04 ~ Present

What I did: Utilized RPC to obtain on-chain transaction data for meme coins, conducted graph theory analysis of community trading behavior, and performed valuation. Published findings on the Medium website.

Summarized the total trading volume and LP behavior of Uniswap v3 in the first half of 2023, using traditional financial methods such as CAPM to identify high-value addresses.