Prof. KEUNG Wai Jacky (姜煒)
Research Output
- 2024
- Published
Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study
He, Y., Lin, G., Ma, X., Keung, J. W., Tan, C., Hu, W. & Li, F., 2024, 15th Asia-Pacific Symposium on Internetware (Internetware 2024) - Proceedings. Mei, H., Lv, J., Helal, A., Ma, X., Cheung, S.-C., Zhang, J. & Zhang, T. (eds.). Association for Computing Machinery, p. 85-94 (ACM International Conference Proceeding Series).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- Published
Enhancing Valid Test Input Generation with Distribution Awareness for Deep Neural Networks
Zhang, J., Keung, J., Ma, X., Li, X., Xiao, Y., Li, Y. & Chan, W. K., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference. Shahriar, H., Ohsaki, H. & Sharmin, M. (eds.). Institute of Electrical and Electronics Engineers, Inc., p. 1095-1100Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- Published
Integrating Generative AI in Software Engineering Education: Practical Strategies
LI, Y., Keung, J. & MA, K. X., 2024, Proceedings - 2024 International Symposium on Educational Technology: ISET 2024. Institute of Electrical and Electronics Engineers, Inc., p. 49-53Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- Published
LLM-based Class Diagram Derivation from User Stories with Chain-of-Thought Promptings
Li, Y., Keung, J., Ma, X., Chong, C. Y., Zhang, J. & Liao, Y., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024. Institute of Electrical and Electronics Engineers, Inc., p. 45-50 (Proceedings - IEEE Annual Computers, Software, and Applications Conference, COMPSAC).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 1 - Published
Practitioners' Expectations on Code Smell Detection
Zhang, Z., Yin, S., Wei, W., Ma, X., Keung, J. W., Li, F. & Hu, W., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC 2024). Institute of Electrical and Electronics Engineers, Inc., p. 1324-1333 (Proceedings - IEEE Annual Computers, Software, and Applications Conference, COMPSAC).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- Published
Uncertainty-Based Metamorphic Testing for Validating Plagiarism Detection Systems
Chan, P. Y. P., Keung, J. & Yang, Z., 2024, Technology in Education. Innovative Practices for the New Normal: 6th International Conference on Technology in Education, ICTE 2023, Hong Kong, China, December 19–21, 2023, Proceedings. Cheung, S. K. S., Wang, F. L., Paoprasert, N., Charnsethikul, P., Li, K. C. & Phusavat, K. (eds.). Springer , p. 299-314 (Communications in Computer and Information Science; vol. 1974).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- Published
Validating Unsupervised Machine Learning Techniques for Software Defect Prediction with Generic Metamorphic Testing
CHAN, P. Y. P. & KEUNG, J., 2024, In: IEEE Access. 12, p. 165155-165172Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- 2023
- Published
A multi-objective effort-aware defect prediction approach based on NSGA-II
Yu, X., Liu, L., Zhu, L., Keung, J. W., Wang, Z. & Li, F., Dec 2023, In: Applied Soft Computing. 149, Part A, 110941.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6 - Published
ATTSUM: A Deep Attention-Based Summarization Model for Bug Report Title Generation
Ma, X., Keung, J. W., Yu, X., Zou, H., Zhang, J. & Li, Y., Dec 2023, In: IEEE Transactions on Reliability. 72, 4, p. 1663-1677Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 12 - Published
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
Zhang, F., Chen, B., Zhang, Y., Keung, J., Liu, J., Zan, D. & Mao, Y. & 2 others, , Dec 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics, p. 2471–2484 (EMNLP - Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 18 - Published
Towards Requirements Engineering Activities for Machine Learning-enabled FinTech Applications
LI, Y., Keung, J., Bennin, K. E., Ma, X., Huang, Y. & Zhang, J., Dec 2023, Proceedings - 2023 30th Asia-Pacific Software Engineering Conference: APSEC 2023. Institute of Electrical and Electronics Engineers, Inc., p. 121-130Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- Published
Cross-Modal and Cross-Domain Knowledge Transfer for Label-Free 3D Segmentation
Zhang, J., Yang, H., Wu, D.-J., Keung, J., Li, X., Zhu, X. & Ma, Y., Oct 2023, Pattern Recognition and Computer Vision: 6th Chinese Conference, PRCV 2023, Proceedings, Part III. Liu, Q., Wang, H., Ma, Z., Zheng, W., Zha, H., Chen, X., Wang, L. & Ji, R. (eds.). 1 ed. Springer Singapore, p. 465-477 (Lecture Notes in Computer Science; vol. 14427).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 1 - Published
On the relative value of imbalanced learning for code smell detection
Li, F., Zou, K., Keung, J. W., Yu, X., Feng, S. & Xiao, Y., Oct 2023, In: Software - Practice and Experience. 53, 10, p. 1902-1927Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 12 - Published
Revisiting ‘revisiting supervised methods for effort-aware cross-project defect prediction’
Li, F., Yang, P., Keung, J. W., Hu, W., Luo, H. & Yu, X., Aug 2023, In: IET Software. 17, 4, p. 472-495Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9 - Published
ISSRE 2021 special section
Keung, J. W., Mariani, L., Xiang, J. & Yu, X., Jul 2023, In: Information and Software Technology. 159, 107227.Research output: Journal Publications and Reviews › Editorial Preface
- Published
Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer
Zhang, F., Liu, J., Wan, Y., Yu, X., Liu, X. & Keung, J., Jun 2023, In: The Journal of Systems and Software. 200, 111672.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 7 - Published
Finding the best learning to rank algorithms for effort-aware defect prediction
Yu, X., Dai, H., Li, L., Gu, X., Keung, J. W., Bennin, K. E. & Li, F. & 1 others, , May 2023, In: Information and Software Technology. 157, 107165.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 17 - Published
On the Significance of Category Prediction for Code-Comment Synchronization
YANG, Z., KEUNG, J. W., YU, X., XIAO, Y., JIN, Z. & ZHANG, J., Apr 2023, In: ACM Transactions on Software Engineering and Methodology. 32, 2, p. 1–41Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 31 - Published
The impact of feature selection techniques on effort-aware defect prediction: An empirical study
Li, F., Lu, W., Keung, J. W., Yu, X., Gong, L. & Li, J., Apr 2023, In: IET Software. 17, 2, p. 168-193Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 20 - Published
The impact of class imbalance techniques on crashing fault residence prediction models
Zhao, K., Xu, Z., Yan, M., Zhang, T., Xue, L., Fan, M. & Keung, J., Mar 2023, In: Empirical Software Engineering. 28, 2, 49.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5
