Παρακολούθηση
Xin ZHOU
Xin ZHOU
Research Scientist (Postdoc), Singapore Management University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα phdcs.smu.edu.sg - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Assessing generalizability of codebert
X Zhou, DG Han, D Lo
2021 IEEE International Conference on Software Maintenance and Evolution …, 2021
982021
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
M Weyssow, X Zhou, K Kim, D Lo, H Sahraoui
arXiv preprint arXiv:2308.10462, 2023
622023
Large language model for vulnerability detection: Emerging results and future directions
X Zhou, T Zhang, D Lo
Proceedings of the 2024 ACM/IEEE 44th International Conference on Software …, 2024
562024
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources
X Zhou, K Kim, B Xu, DG Han, D Lo
Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024
262024
Representation Learning for Stack Overflow Posts: How Far are We?
J He, X Zhou, B Xu, T Zhang, K Kim, Z Yang, F Thung, I Irsan, D Lo
ACM Transactions on Software Engineering and Methodology, 2023
242023
Generation-based Code Review Automation: How Far Are We?
X Zhou, K Kim, B Xu, DG Han, J He, D Lo
31st IEEE/ACM International Conference on Program Comprehension (ICPC 2023), 2023
222023
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models
X Zhou, K Kim, B Xu, J Liu, DG Han, D Lo
38th IEEE/ACM International Conference on Automated Software Engineering …, 2023
202023
Codeultrafeedback: An llm-as-a-judge dataset for aligning large language models to coding preferences
M Weyssow, A Kamanda, X Zhou, H Sahraoui
arXiv preprint arXiv:2403.09032, 2024
182024
Leveraging large language model for automatic patch correctness assessment
X Zhou, B Xu, K Kim, DG Han, HH Nguyen, T Le-Cong, J He, B Le, D Lo
IEEE Transactions on Software Engineering, 2024
17*2024
CCBERT: Self-Supervised Code Change Representation Learning
X Zhou, B Xu, DG Han, Z Yang, J He, D Lo
39th The International Conference on Software Maintenance and Evolution …, 2023
162023
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode
T Sun, K Allix, K Kim, X Zhou, D Kim, D Lo, TF Bissyandé, J Klein
IEEE Transactions on Software Engineering, 2023
162023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
M Weyssow, X Zhou, K Kim, D Lo, H Sahraoui
The ACM Joint European Software Engineering Conference and Symposium on the …, 2023
152023
Large Language Model for Vulnerability Detection and Repair: Literature Review and Roadmap
X Zhou, S Cao, X Sun, D Lo
arXiv preprint arXiv:2404.02525, 2024
142024
Answer Summarization for Technical Queries: Benchmark and New Approach
C Yang, B Xu, F Thung, Y Shi, T Zhang, Z Yang, X Zhou, J Shi, J He, ...
37th IEEE/ACM International Conference on Automated Software Engineering, 1-13, 2022
132022
Big Code Search: a Bibliography
K Kim, S Ghatpande, D Kim, X Zhou, K Liu, TF Bissyandé, J Klein, ...
ACM Computing Surveys, 2022
112022
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection
X Zhou, DM Tran, T Le-Cong, T Zhang, IC Irsan, J Sumarlin, B Le, D Lo
arXiv preprint arXiv:2407.16235, 2024
72024
Simple or complex? together for a more accurate just-in-time defect predictor
X Zhou, DG Han, D Lo
Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022
72022
Prioritizing speech test cases
Z Yang, J Shi, MH Asyrofi, B Xu, X Zhou, DG Han, D Lo
ACM Transactions on Software Engineering and Methodology, 2023
62023
Bridging expert knowledge with deep learning techniques for just-in-time defect prediction
X Zhou, DG Han, D Lo
Empirical Software Engineering 30 (1), 1-44, 2025
22025
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective
K Kim, X Zhou, D Kim, J Lawall, K Liu, TF Bissyandé, J Klein, J Lee, D Lo
ACM Transactions on Software Engineering and Methodology, 2023
22023
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