Minh Nguyen

Introduction

I am a Master's student in Computer Science currently in Cophi Group under DDST Lab of SJTU, supervised by Prof. Yun Lin. My research focuses on AI in SE, GUI agents, and Information Retrieval.

Publications

(*): Co-first Author

ARC: Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems (ISSTA26) [paper] [code]

Weiyu Kong, Yun Lin, Xiwen Teoh, Duc-Minh Nguyen, Ruofei Ren, Jiaxin Chang, Haoxu Hu, Haoyu Chen

WebTestPilot: Agentic End-to-End Web Testing against Natural Language Specification by Inferring Oracles with Symbolized GUI Elements (FSE26) [paper] [code]

Xiwen Teoh, Yun Lin, Duc-Minh Nguyen, Ruofei Ren, Wenjie Zhang, Jin Song Dong

Enhancing legal document retrieval: a multi-phase approach with large language models (JURISIN 2024) [paper]

Hai-Long Nguyen*, Duc-Minh Nguyen*, Tan-Minh Nguyen, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong, Ken Satoh

Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval (NeLaMKRR 2024) [paper]

Hai-Long Nguyen, Tan-Minh Nguyen, Duc-Minh Nguyen, Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, Xuan-Hieu Phan

XOSA-NOWJ@ ALQAC 2024: Efficient Legal Information Processing with the Combination of Semantic–Based Model and LLMs (KSE 2024) [paper]

Hai-Long Nguyen, Duc-Minh Nguyen, Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, et al.

Professional Experience

2024-2025

Software Engineer

Employment Hero

Worked on automation, workflow features, data residency for Australian HRM software.

2023-2024

Software Engineer

LexEngine

Worked on Legal AI systems for Vietnamese law. Also built internal data annotation tools.

Education

2025-2028

M.Sc. in Computer Science

Shanghai Jiao Tong University

2020-2024

B.Eng. in Software Engineering (Honours)

RMIT University

Awards & Certificates

2021

CommonLit Readability Prize Gold Medalist

Kaggle

Trained NLP models to rate the complexity of literary passages for grades 3-12 classroom use.

2020

Google Code-in 2019 Grand Prize Winner

Google

Participated in over 2 months of open-source development among 3500 participants worldwide.