I'm currently pursuing a PhD in Computing Science at the University of Alberta, Edmonton, as a member of the U-A-Goose Lab. I received my B.Sc. in Computer Science from The Hong Kong Polytechnic University. Prior to and during my Master's studies, I worked closely with PhD candidates in the ARISE lab under the supervision of Prof. Michael R. Lyu. My recent research focus on the automated software development and vuneribility detection of coding agents, and my interests revolve around AI Agents, AI4SE & SE4AI, and Formal Verification. My existing research have also contributed to AI and strategic practices in engineering management.
Interests
- Coding Agents
- Software Engineering
- AI4SE
Education
- MSc Information EngineeringThe Chinese University of Hong Kong
- BSc Computer ScienceThe Hong Kong Polytechnic University
ualberta
caUniversity of Alberta
news
selected publications

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
J Xiao, M Wang, MH Lam, Y Wan, J Liu, Y Huo, MR Lyu
ArXiv Preprint. Link, June 2025

How Large Language Models Empower the Analysis of Online Public Engagement for Mega Infrastructure Projects: Cases in Hong Kong
M Wang, R Ma, GQ Shen, J Xue
IEEE Transactions on Engineering Management. Link, March 2025

Large Language Model-Based Data-Driven Framework for Digital Transformation in the Construction Industry
R Ma, GQ Shen, P Lou, M Wang
ASCE International Conference on Computinng in Civil Engineering, Pittsburgh, USA. Link, August 2024
experiences

Research Intern
Jan 2026 – Apr 2026 | RemoteDepartment of Electrical and Computer Engineering, University of Waterloo
- Working on exploring the cost structure of MLLM educational deployment in block-based programming
- Proposing a cost-aware multimodal repair pipeline for block-based programming that uses a cheap runtime probe to estimate repair difficulty and schedule the optimal repair option
Advisor: Jialu Zhang Assistant Professor, University of Waterloo

Co-researcher
Mar 2025 – Sep 2025 | Hong KongDepartment of Computer Science and Engineering, The Chinese University of Hong Kong
- Worked on analyzing code intelligence of Multi-modal LLMs in various front-end programming scenarios, contributing to the paper Designbench
- Proposed a multi-framework, multi-task evaluation benchmark for assessing MLLMs' capabilities in automated front-end engineering
- Data Collection and Processing, Metrics, Evaluation, Benchmarking
Advisor: Michael R. Lyu Professor, The Chinese University of Hong Kong

Research Assistant
March 2023 – Mar 2025 | Hong KongDepartment of Building and Real Estate, The Hong Kong Polytechnic University
- Worked on LLM-driven Online Social Network Analysis for Mega infrastructure Project Stakeholder Analysis. Published a Journal paper in IEEE-TEM as the 1st author; co-authored a conference paper, which proposed a LLM-based data-driven framework for digital transformation in civil engineering
- Data Retrieval, Large Language Model, Social Network Analysis, Paper Completion and revision
Advisor: Jin Xue Lecturer, The University of Sydney



