Xin Zhou

According to our database, Xin Zhou authored at least 37 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.

Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui

ACM Trans. Softw. Eng. Methodol., September, 2025

How Are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective.

Kisub Kim, Xin Zhou, Dongsun Kim, Julia Lawall, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Jaekwon Lee, David Lo

ACM Trans. Softw. Eng. Methodol., July, 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, Martin Weyssow, Chengran Yang, Xin Zhou, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tang, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, July, 2025

SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents.

Jianming Chang, Jieke Shi, Yunbo Lyu, Xin Zhou, Lulu Wang, Zhou Yang, Bixin Li, David Lo

CoRR, July, 2025

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead.

Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo

ACM Trans. Softw. Eng. Methodol., June, 2025

Beyond Surface Similarity: Evaluating LLM-Based Test Refactorings with Structural and Semantic Awareness.

Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé

CoRR, June, 2025

Mind the Gap: A Readability-Aware Metric for Test Code Complexity.

Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé

CoRR, June, 2025

Prioritizing Speech Test Cases.

Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, Dong-Gyun Han, David Lo

ACM Trans. Softw. Eng. Methodol., May, 2025

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks.

Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luis F. Gomes, Guang Yang, David Lo

CoRR, May, 2025

CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation.

Guang Yang, Yu Zhou, Xiang Chen, Wei Zheng, Xing Hu, Xin Zhou, David Lo, Taolue Chen

CoRR, May, 2025

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks.

Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo

CoRR, May, 2025

Bridging expert knowledge with deep learning techniques for just-in-time defect prediction.

Xin Zhou, DongGyun Han, David Lo

Empir. Softw. Eng., February, 2025

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models.

Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li

CoRR, February, 2025

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks.

Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, David Lo

CoRR, February, 2025

JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction.

Xiaolin Ju, Yi Cao, Xiang Chen, Lina Gong, Vaskar Chakma, Xin Zhou

Inf. Softw. Technol., 2025

2024

Leveraging Large Language Model for Automatic Patch Correctness Assessment.

Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Hung Huu Nguyen, Thanh Le-Cong, Junda He, Bach Le, David Lo

IEEE Trans. Software Eng., November, 2024

Representation Learning for Stack Overflow Posts: How Far Are We?

Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo

ACM Trans. Softw. Eng. Methodol., March, 2024

Big Code Search: A Bibliography.

Kisub Kim, Sankalp Ghatpande, Dongsun Kim, Xin Zhou, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon

ACM Comput. Surv., January, 2024

A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection.

Beiqi Zhang, Peng Liang, Xin Zhou, Xiyu Zhou, David Lo, Qiong Feng, Zengyang Li, Lin Li

CoRR, 2024

Less is More: DocString Compression in Code Generation.

Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Ke Liu, Xin Zhou, David Lo, Taolue Chen

CoRR, 2024

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.

Xin Zhou, Duc-Manh Tran, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo

CoRR, 2024

Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair.

Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo

CoRR, 2024

Large Language Model for Vulnerability Detection: Emerging Results and Future Directions.

Xin Zhou, Ting Zhang, David Lo

Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

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

IEEE Trans. Software Eng., October, 2023

Generation-based Code Review Automation: How Far Are We?

Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo

CoRR, 2023

PatchZero: Zero-Shot Automatic Patch Correctness Assessment.

Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo

CoRR, 2023

Prioritizing Speech Test Cases.

Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo

CoRR, 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 A. Sahraoui

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Generation-based Code Review Automation: How Far Are Weƒ.

Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

CCBERT: Self-Supervised Code Change Representation Learning.

Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

2022

A Pre-Trained BERT Model for Android Applications.

Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein

CoRR, 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

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Simple or complex?: together for a more accurate just-in-time defect predictor.

Xin Zhou, DongGyun Han, David Lo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2021

Assessing Generalizability of CodeBERT.

Xin Zhou, DongGyun Han, David Lo

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021