My name is Xin Zhou, a four-year Ph.D. student in Computer Science at Singapore Management University (SMU). I am very honored and fortunate to be supervised by Prof. David Lo and be a member of SOAR. Previously, I got my Bachelor degree from Beijing Institute of Technology (BIT)

Education

• B.S. in Automation Engineering (a sub-major of Electronic Engineering), Beijing Institute of Technology, Aug. 2016 – Jun. 2020
• Ph.D. candidate in Computer Science, Singapore Management University, Aug. 2020 – Dec. 2024 (expected)

Research Interest

My research interest mainly lies in:

• Understanding the ability of large language models of code (ICSME’21, ICPC’23, ESEC/FSE’23, ASE’23);
• Enhancing the ability of large language models of code (ICSME’23, TOSEM’23, TSE’23, ICSE’24).

Publications

• [ICSE 2024]. Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources
  Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo

• [ICSE 2024]. Curiosity-Driven Testing for Sequential Decision-Making Process
  Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo

• [ASE 2023]. The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models
  Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo

• [ICSME 2023]. CCBERT: Self-Supervised Code Change Representation Learning
  Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo

• [ESEC/FSE 2023]. On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
  Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari Sahraoui

• [TOSEM 2023]. Representation Learning for Stack Overflow Posts: How Far are We?
  Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ivana Clairine Irsan, Ferdian Thung, David Lo

• [TSE 2023]. DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode
  Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F Bissyandé, Jacques Klein

• [ICPC 2023]. Generation-based Code Review Automation: How Far Are We?
  Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo

• [ICPC 2022]. Simple or Complex? Together for a More Accurate Just-in-time Defect Predictor
  Xin Zhou, DongGyun Han, David Lo

• [ASE 2022]. Answer Summarization for Technical Queries: Benchmark and New Approach
  Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, Donggyun Han, David Lo

• [ICSME 2021]. Assessing generalizability of CodeBERT
  Xin Zhou, DongGyun Han, David Lo

Teaching

• Teaching assistant of IS786 Advanced Research Topics (2023-24 Term1, SMU)
• Teaching assistant of IS111 Introduction to Programming (2022-23 Term2, SMU)

Talk

• Data-Centric Analysis of Large Language Models of Code (2023 Fall, NCSU)

Services

• Journal Reviewer @ Empirical Software Engineering
• Junior PC member of the Technical Papers Track @ MSR’24
• Junior PC member of the Technical Papers Track @ MSR’23
• Student Volunteer @ ICSME’23

Honors & Awards

• Full Scholarship for the Ph.D. study, 2020 - 2024.
• Outstanding Student Award at Beijing Institute of Technology, 2018.