Yunbo Lyu
Scholar

Yunbo Lyu

Google Scholar ID: OnSWwOwAAAAJ
PhD Candidate, Singapore Management University
Software Engineering
Citations & Impact
All-time
Citations
151
 
H-index
6
 
i10-index
5
 
Publications
13
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Won ACM SIGSOFT Distinguished Paper award at ASE 2025
  • - One paper accepted by Research Papers of ASE 2025
  • - One paper accepted by Regular Papers of Multimedia 2025
  • - Received SMU PhD Research Excellence Award (Tier 1)
  • - One paper accepted by Research Papers Track of ICSME 2025
  • - Two papers accepted by FSE 2025
  • - One paper accepted by New and Emerging Ideas Track of ICSA 2025
  • - One paper accepted by IEEE Transactions on Software Engineering
  • - One paper accepted by Technical Track of ICSE 2023
  • Reviewer experience:
  • - Reviewer for IEEE Transactions on Software Engineering (2025-Now)
  • - Junior PC Member for MSR 2025, 2026
  • - PC Member for EASE 2026 (AI Models / Data)
  • - PC Member for ICSE 2025 (Artifact Evaluation)
  • - PC Member for QUATIC 2025
  • - Reviewer for Neurocomputing Journal (2023-Now)
  • - External Reviewer for ICSE, FSE, ASE, EMSE, MM, etc.
Research Experience
  • Conducting research in the SOAR group, collaborating with many talented researchers.
Education
  • Currently a third-year PhD candidate at the SOAR (Software Analytics Research) Group, School of Computing and Information Systems, Singapore Management University, advised by Prof. David Lo. Received B.Sc. degree from the School of Information Engineering, Yangzhou University, China, in 2021. Undergraduate research interest was in game theory and game description language.
Background
  • Research interests include software engineering, artificial intelligence, and mining software repositories.
Miscellany
  • Invited Talks:
  • - Nov 5, 2025: University College London (Invited by Federica Sarro), Talk: "Towards Trustworthy Generative AI: Insights from Text-to-Image Models and AI Coding Assistants"
  • - Sep 30, 2025: National University of Singapore, TEST Lab (Invited by Manuel Rigger), Talk: "Towards Trustworthy In-IDE AI Coding Assistants"
  • - Jul 17, 2025: Yangzhou University, Guest Lecture (Invited by Zhou Yang), Talk: "Users' Perceptions of AI Coding Assistants"