Jacky Wai Keung

51 papers A* 1A 2B 2C 5Journal 38Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
LogMeta: A few-shot model-agnostic meta-learning framework for robust and adaptive log anomaly detection.
J. Syst. Softw.
Yicheng Sun, Jacky Wai Keung, Hi Kuen Yu, Wenqiang Luo
2026 J jnl
R
Empir. Softw. Eng.
Zhen Yang, Hongyi Lin, Xiao Yu, Jacky Wai Keung, Shuo Liu, Pak Yuen Patrick Chan, Yicheng Sun, Fengji Zhang
2026 J jnl
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair.
ACM Trans. Softw. Eng. Methodol.
Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawendé F. Bissyandé, Haoye Tian, Bach Le
2025 J jnl
ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation.
Proc. ACM Softw. Eng.
Pengyu Xue, Linhao Wu, Zhen Yang, Chengyi Wang, Xiang Li, Yuxiang Zhang, Jia Li, Ruikai Jin, Yifei Pei, Zhaoyan Shen, Xiran Lyu, Jacky Wai Keung
2025 J jnl
Large language model ChatGPT versus small deep learning models for self-admitted technical debt detection: Why not together?
Softw. Pract. Exp.
Jun Li, Lixian Li, Jin Liu, Xiao Yu, Xiao Liu, Jacky Wai Keung
2025 J jnl
Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection.
ACM Trans. Softw. Eng. Methodol.
Xiao Yu, Guancheng Lin, Xing Hu, Jacky Wai Keung, Xin Xia
2025 J jnl
NegCPARBP: Enhancing Privacy Protection for Cross-Project Aging-Related Bug Prediction Based on Negative Database.
IEEE Trans. Emerg. Top. Comput.
Dongdong Zhao, Zhihui Liu, Fengji Zhang, Lei Liu, Jacky Wai Keung, Xiao Yu
2025 J jnl
R2ComSync: Improving Code-Comment Synchronization with In-Context Learning and Reranking.
CoRR
Zhen Yang, Hongyi Lin, Xiao Yu, Jacky Wai Keung, Shuo Liu, Pak Yuen Patrick Chan, Yicheng Sun, Fengji Zhang
2025 A* conf
RealisticCodeBench: Towards More Realistic Evaluation of Large Language Models for Code Generation.
ASE
Xiao Yu, Haoxuan Chen, Lei Liu, Xing Hu, Jacky Wai Keung, Xin Xia
2025 J jnl
SemiRALD: A semi-supervised hybrid language model for robust Anomalous Log Detection.
Inf. Softw. Technol.
Yicheng Sun, Jacky Wai Keung, Zhen Yang, Shuo Liu, Hi Kuen Yu
2025 J jnl
SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning.
Inf. Softw. Technol.
Yicheng Sun, Jacky Wai Keung, Zhen Yang, Shuo Liu, Yihan Liao
2025 J jnl
Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models.
CoRR
Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia
2025 J jnl
Unlocking LLM Repair Capabilities in Low-Resource Programming Languages Through Cross-Language Translation and Multi-Agent Refinement.
CoRR
Wenqiang Luo, Jacky Wai Keung, Boyang Yang, Tegawendé F. Bissyandé, Haoye Tian, Bach Le
2024 J jnl
A multi-objective effort-aware defect prediction approach based on NSGA-II.
Appl. Soft Comput.
Xiao Yu, Liming Liu, Lin Zhu, Jacky Wai Keung, Zijian Wang, Fuyang Li
2024 J jnl
Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review.
CoRR
Fengji Zhang, Zexian Zhang, Jacky Wai Keung, Xiangru Tang, Zhen Yang, Xiao Yu, Wenhua Hu
2024 J jnl
Data preparation for Deep Learning based Code Smell Detection: A systematic literature review.
J. Syst. Softw.
Fengji Zhang, Zexian Zhang, Jacky Wai Keung, Xiangru Tang, Zhen Yang, Xiao Yu, Wenhua Hu
2024 — conf
Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study.
Internetware
Yanzhong He, Guancheng Lin, Xiaoxue Ma, Jacky Wai Keung, Cheng Tan, Wenhua Hu, Fuyang Li
2024 J jnl
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
CoRR
Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li
2024 J jnl
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
Proc. ACM Softw. Eng.
Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li
2024 J jnl
Fight Fire With Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?
IEEE Trans. Software Eng.
Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia
2024 J jnl
Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?
CoRR
Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia
2024 J jnl
Improving domain-specific neural code generation with few-shot meta-learning.
Inf. Softw. Technol.
Zhen Yang, Jacky Wai Keung, Zeyu Sun, Yunfei Zhao, Ge Li, Zhi Jin, Shuo Liu, Yishu Li
2024 J jnl
Improving effort-aware defect prediction by directly learning to rank software modules.
Inf. Softw. Technol.
Xiao Yu, Jiqing Rao, Lei Liu, Guancheng Lin, Wenhua Hu, Jacky Wai Keung, Junwei Zhou, Jianwen Xiang
2024 B conf
Practitioners' Expectations on Code Smell Detection.
COMPSAC
Zexian Zhang, Shuang Yin, Wenliu Wei, Xiaoxue Ma, Jacky Wai Keung, Fuyang Li, Wenhua Hu
2024 J jnl
TerGEC: A graph enhanced contrastive approach for program termination analysis.
Sci. Comput. Program.
Shuo Liu, Jacky Wai Keung, Zhen Yang, Yihan Liao, Yishu Li
2024 J jnl
UniAda: Universal Adaptive Multiobjective Adversarial Attack for End-to-End Autonomous Driving Systems.
IEEE Trans. Reliab.
Jingyu Zhang, Jacky Wai Keung, Yan Xiao, Yihan Liao, Yishu Li, Xiaoxue Ma
2024 J jnl
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair.
CoRR
Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawendé F. Bissyandé, Haoye Tian, Bach Le
2024 J jnl
Where Are Large Language Models for Code Generation on GitHub?
CoRR
Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia
2023 J jnl
AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation.
IEEE Trans. Reliab.
Xiaoxue Ma, Jacky Wai Keung, Xiao Yu, Huiqi Zou, Jingyu Zhang, Yishu Li
2023 J jnl
Finding the best learning to rank algorithms for effort-aware defect prediction.
Inf. Softw. Technol.
Xiao Yu, Heng Dai, Li Li, Xiaodong Gu, Jacky Wai Keung, Kwabena Ebo Bennin, Fuyang Li, Jin Liu
2023 J jnl
ISSRE 2021 special section.
Inf. Softw. Technol.
Jacky Wai Keung, Leonardo Mariani, Jianwen Xiang, Xiao Yu
2023 B conf
New Technique for Stock Trend Analysis - Volume-weighted Squared Moving Average Convergence & Divergence.
COMPSAC
Sze Chit Au, Jacky Wai Keung
2023 J jnl
On the Significance of Category Prediction for Code-Comment Synchronization.
ACM Trans. Softw. Eng. Methodol.
Zhen Yang, Jacky Wai Keung, Xiao Yu, Yan Xiao, Zhi Jin, Jingyu Zhang
2023 J jnl
On the relative value of imbalanced learning for code smell detection.
Softw. Pract. Exp.
Fuyang Li, Kuan Zou, Jacky Wai Keung, Xiao Yu, Shuo Feng, Yan Xiao
2023 J jnl
Revisiting 'revisiting supervised methods for effort-aware cross-project defect prediction'.
IET Softw.
Fuyang Li, Peixin Yang, Jacky Wai Keung, Wenhua Hu, Haoyu Luo, Xiao Yu
2023 — conf
The Impact of the bug number on Effort-Aware Defect Prediction: An Empirical Study.
Internetware
Peixin Yang, Lin Zhu, Wenhua Hu, Jacky Wai Keung, Liping Lu, Jianwen Xiang
2023 J jnl
The impact of feature selection techniques on effort-aware defect prediction: An empirical study.
IET Softw.
Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li
2021 J jnl
An Integration Test Order Strategy to Consider Control Coupling.
CoRR
Shujuan Jiang, Miao Zhang, Yanmei Zhang, Rongcun Wang, Qiao Yu, Jacky Wai Keung
2021 J jnl
An Integration Test Order Strategy to Consider Control Coupling.
IEEE Trans. Software Eng.
Shujuan Jiang, Miao Zhang, Yanmei Zhang, Rongcun Wang, Qiao Yu, Jacky Wai Keung
2021 J jnl
Evaluating the effects of similar-class combination on class integration test order generation.
Inf. Softw. Technol.
Miao Zhang, Jacky Wai Keung, Yan Xiao, Md. Alamgir Kabir
2021 J jnl
Validating class integration test order generation systems with Metamorphic Testing.
Inf. Softw. Technol.
Miao Zhang, Jacky Wai Keung, Tsong Yueh Chen, Yan Xiao
2020 J jnl
Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM.
IEEE Trans. Reliab.
Xiao Yu, Jin Liu, Jacky Wai Keung, Qing Li, Kwabena Ebo Bennin, Zhou Xu, Junping Wang, Xiaohui Cui
2019 A conf
An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction.
SANER
Xiao Yu, Kwabena Ebo Bennin, Jin Liu, Jacky Wai Keung, Xiaofei Yin, Zhou Xu
2017 C conf
Adoption of Computer Programming Exercises for Automatic Assessment - Issues and Caution.
ICCE
Yuen-Tak Yu, Chung Man Tang, Chung Keung Poon, Jacky Wai Keung
2017 C conf
An Empirical Analysis of Three-Stage Data-Preprocessing for Analogy-Based Software Effort Estimation on the ISBSG Data.
QRS
Jianglin Huang, Yan-Fu Li, Jacky Wai Keung, Yuen-Tak Yu, W. K. Chan
2017 C conf
Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.
QRS
Wai Nam Poon, Kwabena Ebo Bennin, Jianglin Huang, Passakorn Phannachitta, Jacky Wai Keung
2017 J jnl
Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study.
J. Syst. Softw.
Jianglin Huang, Jacky Wai Keung, Federica Sarro, Yan-Fu Li, Yuen-Tak Yu, W. K. Chan, Hongyi Sun
2012 C conf
A Heuristic Rule Reduction Approach to Software Fault-proneness Prediction.
APSEC
Akito Monden, Jacky Wai Keung, Shuji Morisaki, Yasutaka Kamei, Ken-ichi Matsumoto
2012 — conf
An Investigation on Software Bug-Fix Prediction for Open Source Software Projects - A Case Study on the Eclipse Project.
APSEC Workshops
Akinori Ihara, Yasutaka Kamei, Akito Monden, Masao Ohira, Jacky Wai Keung, Naoyasu Ubayashi, Ken-ichi Matsumoto
2012 C conf
Incorporating Expert Judgment into Regression Models of Software Effort Estimation.
APSEC
Masateru Tsunoda, Akito Monden, Jacky Wai Keung, Ken-ichi Matsumoto
2008 A conf
An over-sampling method for analogy-based software effort estimation.
ESEM
Yasutaka Kamei, Jacky Wai Keung, Akito Monden, Ken-ichi Matsumoto