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 in 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

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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

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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

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services

ReviewerIEEE Transactions on Engineering Management (IEEE-TEM)

© 2026 Ming Wang. Last updated on Jan 31.