Scholar
Xin ZHOU
Google Scholar ID: eQxzKOUAAAAJ
Research Scientist (Postdoc), Singapore Management University
Citations & Impact
Citations
949
H-index
16
i10-index
19
Publications
20
Co-authors
0
Resume
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.