A photo of myself

Hi! I am Yiu-Fai (Frankie) CHEUNG 張耀輝. 👋🏻

I am a final-year student majoring in Computer Science at the Chinese University of Hong Kong ( CUHK ). I am also enrolled in the ELITE Stream of the Faculty of Engineering.

My research interest includes AI for Mental Health, AI for Social Good, the reliability and safety of Large Language Models, multi-agent systems and other applications.

I am actively seeking opportunities for PhD programs. Currently, I am working closely with Prof. Wenxuan Wang .

Education

B.Sc. in Computer Science

The Chinese University of Hong Kong (CUHK)

Sep 2022 - Jul 2026 (Expected)
  • CGPA: 3.803/4.0
  • Major in Computer Science, Minor in Statistics
  • Enrolled in ELITE Stream of the Faculty of Engineering

2023 Globex Julmester Program

College of Engineering, Peking University

Jul 2023
  • 3-week summer school program in Peking University
  • Course taken: “Machine Learning Algorithms: From Math to Code”

Publications

2025

  • Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models

    Zizhan Ma, Wenxuan Wang, Guo Yu, Yiu-Fai Cheung, Meidan Ding, Jie Liu, Wenting Chen, Linlin Shen

    ACL Main Conference, 2026

Research experiences

UG Summer Research Internship

Department of Computer Science and Engineering, CUHK

Jun 2025 - Aug 2025
  • Project title: Rethinking Medical LLM Benchmarks
  • Developed a lifecycle-oriented assessment framework specifically designed for medical benchmarks for LLMs
  • Conducted an in-depth empirical evaluation of 53 medical LLM benchmarks, uncovering widespread, systemic issues of the current evaluation landscape

Work in progress

The Efficacy of Large Language Model-based Interventions for Mental Health Outcomes: A Systematic Review and Meta-Analysis

Department of Computer Science and Engineering, CUHK

Aug 2025 - Present
  • Advised by Prof. Wenxuan Wang
  • Co-led a systematic review and meta-analysis on the effectiveness of LLM-based interventions for mental disorders
  • Registered in PROSPERO CRD420251270068

Application of LLMs on medical meta-analysis

Department of Computer Science and Engineering, CUHK

Jun 2024 - Present
  • Advised by Dr. Kao-Jung Chang
  • Decomposed the process of meta-analysis into sub-tasks and constructed a dataset of medical meta-analysis
  • Fine-tuned and evaluated performance of existing closed-source and open-source LLMs on tasks in meta-analysis

Work Experiences

Software Developer Intern

KEEP (Knowledge and Education Exchange Platform)

Jun 2024 - Jan 2025
  • Supervised by Prof. Irwin King
  • Participate in the development of AI course assessment platform using React and Node.js
  • Develop the backend of online course searching platform with Node.js and Python

Awards