Deep Probabilistic Reasoning and Statistical Analysis Using Deep-Learning – Phase 2 - RMGS

Research output

Research output per year 2023 2024 2025 2026

• 16 RGC 21 - Publication in refereed journal
• 11 RGC 32 - Refereed conference paper (with host publication)

Research output per year

Research output per year

Search results

• 2026

  An Empirical Study of Parameter-Efficient Fine-Tuning in Code Change Learning and Beyond

  Liu, S., Keung, J., Jin, Z., Yang, Z., Liu, F. & Zhang, H., Jan 2026, In: IEEE Transactions on Software Engineering. 52, 1, p. 3-21 19 p.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Pre-Trained Language Models 100%
  • Just-in-Time 50%
  • Defect Prediction 50%
  • Knowledge Transfer 25%
  • Domain Adaptation 25%
• 2025

  ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation

  XUE, P. (Co-first Author), WU, L. (Co-first Author), YANG, Z., WANG, C., LI, X., ZHANG, Y., LI, J., JIN, R., PEI, Y., SHEN, Z., LYU, X. & KEUNG, J. W., Jul 2025, Proceedings of the ACM on Software Engineering. Baresi, L. (ed.). ISSTA ed. Association for Computing Machinery, Vol. 2. p. 1421-1444 ISSTA063. (Proceedings of the ACM on Software Engineering; vol. 2).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  Open Access

  • Large Language Model 100%
  • Experimental Result 11%
  • Usage Scenario 11%
  • Game Design 11%
  • Code Generation 11%

• Effectiveness of Symmetric Metamorphic Relations on Validating the Stability of code generation LLM

  Chan, P. Y. P., Keung, J. & Yang, Z., Apr 2025, In: The Journal of Systems and Software. 222, 112330.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Code Generation 100%
  • Large Language Model 100%
  • Artificial Intelligence 100%
  • Software Development 100%
  • Data Mining 12%

• Exploring continual learning in code intelligence with domain-wise distilled prompts

  Liu, S., Keung, J., Yang, Z., Liu, F., Zhang, F. & Sun, Y., Sept 2025, In: Information and Software Technology. 185, 107775.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Prompt Tuning 100%
  • Continual Learning 100%
  • Experimental Result 11%
  • Training Sample 11%
  • Effective Method 11%

• Identifying Inconsistent Software Defect Predictions with Symmetry Metamorphic Relation Pattern

  Chan, P. Y. P., Keung, J. & Yang, Z., Sept 2025, In: The Journal of Systems and Software. 227, 112449.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Software Defect 100%
  • Defect Prediction 100%
  • Explainable Artificial Intelligence 66%
  • Training Dataset 33%
  • Machine Learning Algorithm 33%
  1 Citation (Scopus)

• Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser

  Sun, Y., Keung, J., Yang, Z., Liu, S. & Yu, H. K., Jun 2026, In: Automated Software Engineering. 33, 1, 12.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Language Modeling 100%
  • Anomaly Detection 100%
  • Bidirectional Long Short-Term Memory Network 28%
  • Performance Model 14%
  • Robust Solution 14%
  1 Citation (Scopus)

• Improving Learning Efficacy in Basic Programming Practice Based on Three-Stage Thinking

  Cai, X., Keung, J., Shen, Z., Zhao, M., Yang, Z., Jia, Z., Han, F. & Yu, D., 2025, Proceedings - 2025 International Symposium on Educational Technology (ISET 2025). IEEE, p. 201-205 5 p. (Proceedings - International Symposium on Educational Technology, ISET).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Chinese 100%
  • Student Learning 100%
  • Computer Science 100%
  • Teaching Methods 100%
  • Survey Analysis 100%

• Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection

  YU, X., LIN, G., HU, X., KEUNG, J. W. & XIA, X., Mar 2025, In: ACM Transactions on Software Engineering and Methodology. 34, 3, 62.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Vulnerability Detection 100%
  • Deep Learning Method 100%
  • Limited Labeled Data 25%
  • Training Data 16%
  • Deep Learning Model 16%
  6 Citations (Scopus)

• On the value of imbalance loss functions in enhancing deep learning-based vulnerability detection

  Ma, X., He, Y., Keung, J., Tan, C., Ma, C., Hu, W. & Li, F., 1 Oct 2025, In: Expert Systems with Applications. 291, 128504.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Vulnerability Detection 100%
  • Deep Learning Method 100%
  • Performance Model 14%
  • Information Security 14%
  • Performance Metric 14%
  1 Citation (Scopus)

• SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning

  Sun, Y., Keung, J. W., Yang, Z., Liu, S. & Liao, Y., Nov 2025, In: Information and Software Technology. 187, 17 p., 107869.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Anomaly Detection 100%
  • Leaning Parameter 100%
  • Long Short-Term Memory Network 60%
  • Parsing 40%
  • Sequential Model 40%
  2 Citations (Scopus)

  65 Downloads (CityUHK Scholars)

• StuLAC: An Adaptive LLM-Driven Framework for Scalable Student Feedback Analysis in Software-Driven Educational Systems

  Sun, Y., Yu, H. K., Keung, J., Cao, Y. & Liao, Y., 2025, 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, p. 121-130 (IEEE Annual International Computer Software and Applications Conference (COMPSAC)).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Driven Software 100%
  • Driven Framework 100%
  • Large Language Model 100%
  • Decision-Making 50%
  • Processing Time 50%
• 2024

  Agile Requirements Engineering in a Distributed Environment: Experiences from the Software Industry during Unprecedented Global Challenges

  Li, Y., Keung, J., Bennin, K. E., Ma, X., Zhang, J. & Yang, Z., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference. Shahriar, H., Ohsaki, H. & Sharmin, M. (eds.). IEEE, p. 682-691

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Distributed Environment 100%
  • Requirement Engineering 100%
  • Software Development 12%
  • COVID 19 Epidemic 12%
  • COVID-19 12%
  2 Citations (Scopus)

• A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering

  Ma, X., Keung, J., He, P., Xiao, Y., Yu, X. & Li, Y., Feb 2024, In: IEEE Transactions on Industrial Informatics. 20, 2, p. 1687-1697 12 p., 10138120.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Detect Anomaly 100%
  • Anomaly Detection 100%
  • Contextual Information 50%
  • Rapid Development 50%
  • Log Data 50%
  14 Citations (Scopus)

• Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review

  Zhang, F., Zhang, Z., Keung, J. W., Tang, X., Yang, Z., Yu, X. & Hu, W., Oct 2024, In: Journal of Systems and Software. 216, 112131.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Data Preparation 100%
  • Deep Learning Method 100%
  • Detection Method 66%
  • Deep Learning Technique 66%
  • Maintainability 33%
  10 Citations (Scopus)

• 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

  • Vulnerability Detection 100%
  • Deep Learning Method 100%
  • Interpretability 22%
  • Information Loss 22%
  • Performance Metric 11%
  1 Citation (Scopus)

• 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.). IEEE, p. 1095-1100

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Classification Task 100%
  • Deep Neural Network 100%
  • Regression Task 100%
  • Deep Learning Method 100%
  • Neural Network 100%
  1 Citation (Scopus)

• Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?

  Yu, X., Liu, L., Hu, X., Keung, J. W., Liu, J. & Xia, X., Dec 2024, In: IEEE Transactions on Software Engineering. 50, 12, p. 3435-3453

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • ChatGPT 100%
  • multi agent 13%
  • Code Generation 13%
  • Software Development 6%
  • Large Language Model 6%
  3 Citations (Scopus)

• 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. IEEE, p. 49-53

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Software Engineering Education 100%
  • Generative Artificial Intelligence 100%
  • Engineering Education 100%
  • Software Engineering 100%
  • Software Development 40%
  2 Citations (Scopus)

• 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. IEEE, 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

  • class diagram 100%
  • Large Language Model 100%
  • Chain-of-Thought 100%
  • Conceptual Model 20%
  • Applied Technique 20%
  6 Citations (Scopus)

• 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). IEEE, 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

  • Maintainability 100%
  • Software Development 100%
  • Software Practitioner 100%
  • Literature Review 100%
  1 Citation (Scopus)

• SimAC: Simulating Agile Collaboration to Generate Acceptance Criteria in User Story Elaboration

  Li, Y., Keung, J., Yang, Z., Ma, X., Zhang, J. & Liu, S., Nov 2024, In: Automated Software Engineering. 31, 2, 55.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Acceptance Criterion 100%
  • Large Language Model 75%
  • Requirement Engineering 25%
  • Supervised Learning 12%
  • Case Study 12%
  8 Citations (Scopus)

• TerGEC: A Graph Enhanced Contrastive Approach for Program Termination Analysis

  Liu, S., Keung, J. W., Yang, Z., Liao, Y. & Li, Y., Oct 2024, In: Science of Computer Programming. 237, 103141.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Detection Process 100%
  • Termination Analysis 100%
  • Deep Learning Method 100%
  • Detection Method 50%
  • Denial-of-Service 50%

• Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis

  Sun, Y., Keung, J., Zhang, J., Yu, H. K., Luo, W. & Liu, S., Jul 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024. Shahriar, H., Ohsaki, H., Sharmin, M., Towey, D., Majumder, A. J. A., Hori, Y., Yang, J.-J., Takemoto, M., Sakib, N., Banno, R. & Ahamed, S. I. (eds.). Los Alamitos, Calif.: IEEE, p. 1178-1183 6 p. (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

  • Log Analysis 100%
  • Long Short-Term Memory Network 100%
  • Sequential Model 100%
  • Short Term Memory 100%
  • Memory Model 33%
  3 Citations (Scopus)

• Validating pretrained language models for content quality classification with semantic-preserving metamorphic relations

  Chan, P. Y. P. & Keung, J., Dec 2024, In: Natural Language Processing Journal. 9, 8 p., 100114.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Content Quality 100%
  • Language Modeling 100%
  • Common Practice 7%
  • Training Dataset 7%
  • Common Sense Knowledge 7%
  49 Downloads (CityUHK Scholars)
• 2023

  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. 1663-1677

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • bug report 100%
  • Long Short-Term Memory Network 25%
  • Representation Method 12%
  • Training Data 12%
  • Software Developer 12%
  15 Citations (Scopus)

• 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. & Liu, J., May 2023, In: Information and Software Technology. 157, 107165.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Defect Prediction 100%
  • Rank Algorithm 100%
  • Design Experiment 20%
  • Software Module 20%
  • Support Vector Machine 20%
  20 Citations (Scopus)

• 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. IEEE, p. 121-130

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Requirement Engineering 100%
  • Machine Learning 100%
  • Learning System 100%
  • Data Scientist 16%
  • Related Requirement 16%
  1 Citation (Scopus)