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 understanding code inteligence of Multi-modal Large Language Models (MLLMs) in multimodal scenarios, and my interests revolve around Agentic AI, AI4SE & SE4AI, Social Network Analysis, and Graph Neural Networks. My existing research have also contributed to AI and strategic practices in engineering management.


I am actively seeking opportunities for Ph.D. studies in the fall of 2026!

Interests

  • Multimodal LLM
  • Software Engineering
  • AI4SE

Education

  • MSc Information Engineering
    The Chinese University of Hong Kong
  • BSc Computer Science
    The Hong Kong Polytechnic University
Profile photo
Ming Melvin Wang
cddotmelvindotwangatoutlookdotcom
MSc Information Engineering
The Chinese University of Hong Kong

news

June 10, 2025Thanks Rohan Paul for reposting our work - Designbench! 😊
Mar 15, 2025My undergraduate research is accepted at IEEE-TEM! 🎉
Nov 15, 2024Excited to attend PolyU's 30th congregation as a graduate! 🎓
Aug 5, 2024One conference paper presented at i3CE2024, held by Carneige Mellon University! 💬

selected publications

ArXiv
Paper Preview

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

DOIHTML
IEEE-TEM
Paper Preview

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

DOIHTML
i3CE
Paper Preview

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

DOIHTML

experiences

Department of Electrical and Computer Engineering, University of Waterloo

Research Intern

Jan 2026 – Present | Remote

Department 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

Department of Computer Science and Engineering, The Chinese University of Hong Kong

Co-researcher

Mar 2025 – Present | Hong Kong

Department 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

Department of Building and Real Estate, The Hong Kong Polytechnic University

Research Assistant

Sep 2024 – Present | Hong Kong

Department 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

services

ReviewerIEEE Transactions on Engineering Management (IEEE-TEM)

© 2026 Ming Wang. Last updated on Jan 31.