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

Research output

Research output per year 2023 2024 2025 2026

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

Research output per year

Research output per year

Search results

• 2025

  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%

• 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%
  4 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%

• 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%
  1 Citation (Scopus)

  4 Downloads (CityUHK Scholars)
• 2024

  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%
  12 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%
  9 Citations (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%
  2 Citations (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%
  6 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%

• 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%
  47 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)