Xin ZHOU
Scholar

Xin ZHOU

Google Scholar ID: eQxzKOUAAAAJ
Research Scientist (Postdoc), Singapore Management University
LLM4SESoftware EngineeringSoftware Analytics
Citations & Impact
All-time
Citations
949
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - [TOSEM 2025] Large language model for vulnerability detection and repair: Literature review and the road ahead
  • - [TOSEM 2025] Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
  • - [TOSEM 2025] How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective
  • - [EMSE 2025] Bridging expert knowledge with deep learning techniques for just-in-time defect prediction
  • - [ICSE 2024] Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources
  • - [ICSE 2024] Curiosity-Driven Testing for Sequential Decision-Making Process
  • - [TSE 2024] Leveraging Large Language Model for Automatic Patch Correctness Assessment
  • - [ASE 2023] The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models
  • - [ICSME 2023] CCBERT: Self-Supervised Code Change Representation Learning
  • - [ESEC/FSE 2023] On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
  • - [TOSEM 2023] Representation Learning for Stack Overflow Posts: How Far are We?
  • - [TSE 2023] DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode
  • - [ICPC 2023] Generation-based Code Review Automation: How Far Are We?
  • - [ICPC 2022] Simple or Complex? Together for a More Accurate Just-in-time Defect Predictor
  • - [ASE 2022] Answer Summarization for Technical Queries: Benchmark and New Approach
  • - [ICSME 2021] Assessing generalizability of CodeBERT
Research Experience
  • - Research Scientist in Software Engineering at Singapore Management University, under the supervision of Prof. David Lo
  • - Teaching Assistant, Introduction to Programming, Singapore Management University, 2022
  • - Teaching Assistant, Advanced Research Topics, Singapore Management University, 2023
Education
  • - B.S. in Automation Engineering, Beijing Institute of Technology, August 2016 – July 2020
  • - Ph.D. in Computer Science, Singapore Management University, August 2020 – January 2025, Supervisor: Prof. David Lo
Background
  • Currently a Research Scientist in Software Engineering at Singapore Management University (SMU), with research interests mainly focusing on understanding and enhancing the ability of large language models in code.
Co-authors
0 total
Co-authors: 0 (list not available)