Xin Zhou - RankMe

58 papers A* 6A 5Journal 45Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection. CoRR Yikun Li, Ting Zhang, Jieke Shi, Chengran Yang, Junda He, Xin Zhou, Jinfeng Jiang, Huihui Huang, Wen Bin Leow, Yide Yin, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2026	J	`jnl`	CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences. ACM Trans. Softw. Eng. Methodol. Martin Weyssow, Aton Kamanda, Xin Zhou, Houari A. Sahraoui
2026	J	`jnl`	Less Is More: DocString Compression in Code Generation. ACM Trans. Softw. Eng. Methodol. Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Ke Liu, Xin Zhou, David Lo, Taolue Chen
2025	J	`jnl`	An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks. CoRR Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luís F. Gomes, Guang Yang, David Lo
2025	J	`jnl`	Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks. CoRR Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo
2025	J	`jnl`	Beyond Surface Similarity: Evaluating LLM-Based Test Refactorings with Structural and Semantic Awareness. CoRR Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	J	`jnl`	Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models. CoRR Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li
2025	J	`jnl`	Bridging expert knowledge with deep learning techniques for just-in-time defect prediction. Empir. Softw. Eng. Xin Zhou, DongGyun Han, David Lo
2025	J	`jnl`	CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation. CoRR Guang Yang, Yu Zhou, Xiang Chen, Wei Zheng, Xing Hu, Xin Zhou, David Lo, Taolue Chen
2025	A*	`conf`	Code-DiTing: Automatic Evaluation of Code Generation without References or Test Cases. ASE Guang Yang, Yu Zhou, Xiang Chen, Wei Zheng, Xing Hu, Xin Zhou, David Lo, Taolue Chen
2025	J	`jnl`	Curiosity-Driven Testing for Sequential Decision-Making Process. CoRR Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2025	J	`jnl`	Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. ACM Trans. Softw. Eng. Methodol. Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
2025	J	`jnl`	How Are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective. ACM Trans. Softw. Eng. Methodol. Kisub Kim, Xin Zhou, Dongsun Kim, Julia Lawall, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Jaekwon Lee, David Lo
2025	J	`jnl`	Human-Aligned Code Readability Assessment with Large Language Models. CoRR Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Pawel Borsukiewicz, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	J	`jnl`	JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction. Inf. Softw. Technol. Xiaolin Ju, Yi Cao, Xiang Chen, Lina Gong, Vaskar Chakma, Xin Zhou
2025	J	`jnl`	Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead. ACM Trans. Softw. Eng. Methodol. Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo
2025	J	`jnl`	LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks. CoRR Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, David Lo
2025	J	`jnl`	Mind the Gap: A Readability-Aware Metric for Test Code Complexity. CoRR Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	J	`jnl`	Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? CoRR 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
2025	J	`jnl`	Prioritizing Speech Test Cases. ACM Trans. Softw. Eng. Methodol. Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, Dong-Gyun Han, David Lo
2025	A	`conf`	Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception. ICSME Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	A*	`conf`	SE-Jury: An LLM-as-Ensemble-Judge Metric for Narrowing the Gap with Human Evaluation in SE. ASE Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luís F. Gomes, Guang Yang, Kui Liu, Xin Xia, David Lo
2025	J	`jnl`	SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents. CoRR Jianming Chang, Jieke Shi, Yunbo Lyu, Xin Zhou, Lulu Wang, Zhou Yang, Bixin Li, David Lo
2025	J	`jnl`	SecureAgentBench: Benchmarking Secure Code Generation under Realistic Vulnerability Scenarios. CoRR Junkai Chen, Huihui Huang, Yunbo Lyu, Junwen An, Jieke Shi, Chengran Yang, Ting Zhang, Haoye Tian, Yikun Li, Zhenhao Li, Xin Zhou, Xing Hu, David Lo
2025	J	`jnl`	Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework. CoRR Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	VisDocSketcher: Towards Scalable Visual Documentation with Agentic Systems. CoRR Luís F. Gomes, Xin Zhou, David Lo, Rui Abreu
2024	J	`jnl`	A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection. CoRR Beiqi Zhang, Peng Liang, Xin Zhou, Xiyu Zhou, David Lo, Qiong Feng, Zengyang Li, Lin Li
2024	J	`jnl`	Big Code Search: A Bibliography. ACM Comput. Surv. Kisub Kim, Sankalp Ghatpande, Dongsun Kim, Xin Zhou, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
2024	J	`jnl`	Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction. CoRR Xin Zhou, DongGyun Han, David Lo
2024	J	`jnl`	Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection. CoRR Xin Zhou, Duc-Manh Tran, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo
2024	A*	`conf`	Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2024	J	`jnl`	Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair. CoRR Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo
2024	J	`jnl`	Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead. CoRR Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo
2024	—	`conf`	Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. NIER@ICSE Xin Zhou, Ting Zhang, David Lo
2024	J	`jnl`	Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. CoRR Xin Zhou, Ting Zhang, David Lo
2024	J	`jnl`	Less is More: DocString Compression in Code Generation. CoRR Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Ke Liu, Xin Zhou, David Lo, Taolue Chen
2024	J	`jnl`	Leveraging Large Language Model for Automatic Patch Correctness Assessment. IEEE Trans. Software Eng. Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Hung Huu Nguyen, Thanh Le-Cong, Junda He, Bach Le, David Lo
2024	A*	`conf`	Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources. ICSE Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo
2024	J	`jnl`	Representation Learning for Stack Overflow Posts: How Far Are We? ACM Trans. Softw. Eng. Methodol. Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
2023	A	`conf`	CCBERT: Self-Supervised Code Change Representation Learning. ICSME Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
2023	J	`jnl`	CCBERT: Self-Supervised Code Change Representation Learning. CoRR Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
2023	J	`jnl`	DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. IEEE Trans. Software Eng. Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein
2023	J	`jnl`	Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. CoRR Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
2023	J	`jnl`	Generation-based Code Review Automation: How Far Are We? CoRR Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo
2023	A	`conf`	Generation-based Code Review Automation: How Far Are Weƒ. ICPC Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo
2023	J	`jnl`	How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective. CoRR Kisub Kim, Xin Zhou, Dongsun Kim, Julia Lawall, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Jaekwon Lee, David Lo
2023	—	`conf`	On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. ESEC/SIGSOFT FSE Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
2023	J	`jnl`	On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. CoRR Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
2023	J	`jnl`	PatchZero: Zero-Shot Automatic Patch Correctness Assessment. CoRR Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo
2023	J	`jnl`	Prioritizing Speech Test Cases. CoRR Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo
2023	J	`jnl`	Representation Learning for Stack Overflow Posts: How Far are We? CoRR Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
2023	A*	`conf`	The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. ASE Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo
2023	J	`jnl`	The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. CoRR Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo
2022	J	`jnl`	A Pre-Trained BERT Model for Android Applications. CoRR Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein
2022	A*	`conf`	Answer Summarization for Technical Queries: Benchmark and New Approach. ASE Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	J	`jnl`	Answer Summarization for Technical Queries: Benchmark and New Approach. CoRR Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	A	`conf`	Simple or complex?: together for a more accurate just-in-time defect predictor. ICPC Xin Zhou, DongGyun Han, David Lo
2021	A	`conf`	Assessing Generalizability of CodeBERT. ICSME Xin Zhou, DongGyun Han, David Lo