Assessing Generalizability of CodeBERT. - Xin Zhou 014; DongGyun Han; David Lo 001 (ICSME, 2021)

Simple or complex?: together for a more accurate just-in-time defect predictor. - Xin Zhou 014; DongGyun Han; David Lo 001 (ICPC, 2022)

Answer Summarization for Technical Queries: Benchmark and New Approach. - Chengran Yang; Bowen Xu; Ferdian Thung; Yucen Shi; Ting Zhang 011; Zhou Yang 003; Xin Zhou 014; Jieke Shi; Junda He; DongGyun Han; David Lo 001 (ASE, 2022)

A Pre-Trained BERT Model for Android Applications. - Tiezhu Sun; Kevin Allix; Kisub Kim; Xin Zhou 014; Dongsun Kim 001; David Lo 001; Tegawendé F. Bissyandé; Jacques Klein (CoRR, 2022)

CCBERT: Self-Supervised Code Change Representation Learning. - Xin Zhou 014; Bowen Xu; DongGyun Han; Zhou Yang 003; Junda He; David Lo 001 (ICSME, 2023)

Generation-based Code Review Automation: How Far Are Weƒ. - Xin Zhou 014; Kisub Kim; Bowen Xu; DongGyun Han; Junda He; David Lo 001 (ICPC, 2023)

The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. - Xin Zhou 014; Kisub Kim; Bowen Xu; Jiakun Liu; DongGyun Han; David Lo 001 (ASE, 2023)

On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. - Martin Weyssow; Xin Zhou 014; Kisub Kim; David Lo 001; Houari A. Sahraoui (ESEC/SIGSOFT FSE, 2023)

Prioritizing Speech Test Cases. - Zhou Yang 003; Jieke Shi; Muhammad Hilmi Asyrofi; Bowen Xu; Xin Zhou 014; DongGyun Han; David Lo 001 (CoRR, 2023)

PatchZero: Zero-Shot Automatic Patch Correctness Assessment. - Xin Zhou 014; Bowen Xu; Kisub Kim; DongGyun Han; Thanh Le-Cong; Junda He; Bach Le 001; David Lo 001 (CoRR, 2023)

Generation-based Code Review Automation: How Far Are We? - Xin Zhou 014; Kisub Kim; Bowen Xu; DongGyun Han; Junda He; David Lo 001 (CoRR, 2023)

DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. - Tiezhu Sun; Kevin Allix; Kisub Kim; Xin Zhou 014; Dongsun Kim 001; David Lo 001; Tegawendé F. Bissyandé; Jacques Klein (IEEE Trans. Software Eng., 2023)

Curiosity-Driven Testing for Sequential Decision-Making Process. - Junda He; Zhou Yang 003; Jieke Shi; Chengran Yang; Kisub Kim; Bowen Xu; Xin Zhou 014; David Lo 001 (ICSE, 2024)

Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources. - Xin Zhou 014; Kisub Kim; Bowen Xu; DongGyun Han; David Lo 001 (ICSE, 2024)

Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. - Xin Zhou 014; Ting Zhang 011; David Lo 001 (NIER@ICSE, 2024)

Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair. - Xin Zhou 014; Kisub Kim; Bowen Xu; DongGyun Han; David Lo 001 (CoRR, 2024)

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection. - Xin Zhou 014; Duc-Manh Tran; Thanh Le-Cong; Ting Zhang 011; Ivana Clairine Irsan; Joshua Sumarlin; Bach Le 001; David Lo 001 (CoRR, 2024)

Less is More: DocString Compression in Code Generation. - Guang Yang 019; Yu Zhou 010; Wei Cheng; Xiangyu Zhang 005; Xiang Chen 005; Terry Yue Zhuo; Ke Liu; Xin Zhou 014; David Lo 001; Taolue Chen 001 (CoRR, 2024)

A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection. - Beiqi Zhang; Peng Liang 001; Xin Zhou 014; Xiyu Zhou; David Lo 001; Qiong Feng; Zengyang Li; Lin Li (CoRR, 2024)

Big Code Search: A Bibliography. - Kisub Kim; Sankalp Ghatpande; Dongsun Kim 001; Xin Zhou 014; Kui Liu 001; Tegawendé F. Bissyandé; Jacques Klein; Yves Le Traon (ACM Comput. Surv., 2024)

Representation Learning for Stack Overflow Posts: How Far Are We? - Junda He; Xin Zhou 014; Bowen Xu; Ting Zhang 011; Kisub Kim; Zhou Yang 003; Ferdian Thung; Ivana Clairine Irsan; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Leveraging Large Language Model for Automatic Patch Correctness Assessment. - Xin Zhou 014; Bowen Xu; Kisub Kim; DongGyun Han; Hung Huu Nguyen; Thanh Le-Cong; Junda He; Bach Le 001; David Lo 001 (IEEE Trans. Software Eng., 2024)

JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction. - Xiaolin Ju; Yi Cao; Xiang Chen 005; Lina Gong; Vaskar Chakma; Xin Zhou 014 (Inf. Softw. Technol., 2025)

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks. - Xin Zhou 014; Martin Weyssow; Ratnadira Widyasari; Ting Zhang 011; Junda He; Yunbo Lyu; Jianming Chang; Beiqi Zhang; Dan Huang; David Lo 001 (CoRR, 2025)

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models. - Jianming Chang; Xin Zhou 014; Lulu Wang 001; David Lo 001; Bixin Li (CoRR, 2025)

Bridging expert knowledge with deep learning techniques for just-in-time defect prediction. - Xin Zhou 014; DongGyun Han; David Lo 001 (Empir. Softw. Eng., 2025)

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks. - Xing Hu 008; Feifei Niu; Junkai Chen; Xin Zhou 014; Junwei Zhang; Junda He; Xin Xia 001; David Lo 001 (CoRR, 2025)

CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation. - Guang Yang 019; Yu Zhou 010; Xiang Chen 005; Wei Zheng 006; Xing Hu 008; Xin Zhou 014; David Lo 001; Taolue Chen 001 (CoRR, 2025)

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks. - Xin Zhou 014; Kisub Kim; Ting Zhang 011; Martin Weyssow; Luis F. Gomes; Guang Yang 019; David Lo 001 (CoRR, 2025)

Prioritizing Speech Test Cases. - Zhou Yang 003; Jieke Shi; Muhammad Hilmi Asyrofi; Bowen Xu; Xin Zhou 014; Dong-Gyun Han; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Mind the Gap: A Readability-Aware Metric for Test Code Complexity. - Wendkûuni C. Ouédraogo; Yinghua Li; Xueqi Dang; Xin Zhou 014; Anil Koyuncu; Jacques Klein; David Lo 001; Tegawendé F. Bissyandé (CoRR, 2025)

Beyond Surface Similarity: Evaluating LLM-Based Test Refactorings with Structural and Semantic Awareness. - Wendkûuni C. Ouédraogo; Yinghua Li; Xueqi Dang; Xin Zhou 014; Anil Koyuncu; Jacques Klein; David Lo 001; Tegawendé F. Bissyandé (CoRR, 2025)

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead. - Xin Zhou 014; Sicong Cao; Xiaobing Sun 001; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents. - Jianming Chang; Jieke Shi; Yunbo Lyu; Xin Zhou 014; Lulu Wang 001; Zhou Yang 003; Bixin Li; David Lo 001 (CoRR, 2025)

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? - Yikun Li; Ngoc Tan Bui; Ting Zhang 011; Martin Weyssow; Chengran Yang; Xin Zhou 014; Jinfeng Jiang; Junkai Chen; Huihui Huang; Huu Hung Nguyen; Chiok Yew Ho; Jie Tang 001; et al. (CoRR, 2025)

How Are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective. - Kisub Kim; Xin Zhou 014; Dongsun Kim 001; Julia Lawall; Kui Liu 001; Tegawendé F. Bissyandé; Jacques Klein; Jaekwon Lee; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. - Martin Weyssow; Xin Zhou 014; Kisub Kim; David Lo 001; Houari A. Sahraoui (ACM Trans. Softw. Eng. Methodol., 2025)