Dr. Xiao YU, 余嘯

Research output

Research output per year 2017 2021 2023 2025

• 18 RGC 21 - Publication in refereed journal
• 5 RGC 32 - Refereed conference paper (with host publication)
• 1 Editorial Preface

Research output per year

Research output per year

Search results

• 2025

  NegCPARBP: Enhancing Privacy Protection for Cross-Project Aging-Related Bug Prediction Based on Negative Database

  Zhao, D., Liu, Z., Zhang, F., Liu, L., Keung, J. W. & Yu, X., 6 Mar 2025, (Online published) In: IEEE Transactions on Emerging Topics in Computing.

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

  • Feature Vector 100%
  • Privacy Protection 100%
  • Experimental Result 25%
  • Software Systems 25%
  • Performance Degradation 25%
• 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%
  9 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%
  5 Citations (Scopus)
• 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%
  13 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%
  19 Citations (Scopus)

• 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

• 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. 1902-1927

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

  • Learning Technique 100%
  • Relative Value 100%
  • Sampling Technique 28%
  • Detection Performance 28%
  • Machine Learning 28%
  18 Citations (Scopus)

• 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. 1–41

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

  • Ensemble Learning 100%
  • Deep Learning Method 100%
  • Prediction Model 50%
  • Machine Translation 50%
  • Relative Distance 50%
  35 Citations (Scopus)

• 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. 472-495

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

  Open Access

  File

  • Supervised Method 100%
  • Defect Prediction 100%
  • Defect Density 100%
  • Metrics 40%
  • Joint Distribution 40%
  10 Citations (Scopus)

  77 Downloads (CityUHK Scholars)

• 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. 168-193

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

  Open Access

  File

  • Feature Selection 100%
  • Defect Prediction 100%
  • Feature Extraction 100%
  • Forward Search 50%
  • Prediction Model 33%
  27 Citations (Scopus)

  31 Downloads (CityUHK Scholars)
• 2022

  CASMS: Combining clustering with attention semantic model for identifying security bug reports

  Ma, X., Keung, J., Yang, Z., Yu, X., Li, Y. & Zhang, H., Jul 2022, In: Information and Software Technology. 147, 106906.

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

  • bug report 100%
  • Experimental Result 6%
  • Software Systems 6%
  • k-means Clustering 6%
  • Detection Method 6%
  19 Citations (Scopus)

• Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information

  Zhang, F., Yu, X., Keung, J., Li, F., Xie, Z., Yang, Z., Ma, C. & Zhang, Z., Aug 2022, In: Information and Software Technology. 148, 106922.

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

  • Range Dependency 100%
  • Long Short-Term Memory Network 66%
  • Effective Approach 33%
  • Performance Degradation 33%
  • Software Developer 33%
  25 Citations (Scopus)

• Predicting the precise number of software defects: Are we there yet?

  Yu, X., Keung, J., Xiao, Y., Feng, S., Li, F. & Dai, H., Jun 2022, In: Information and Software Technology. 146, 106847.

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

  • Prediction Model 100%
  • Software Defect 100%
  • Absolute Error 100%
  • Resource Allocation 100%
  • Selection Method 100%
  36 Citations (Scopus)
• 2021

  AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features

  Yang, Z., Keung, J., Kabir, M. A., Yu, X., Tang, Y., Zhang, M. & Feng, S., Nov 2021, In: Applied Soft Computing. 111, 107649.

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

  • Neural Network 100%
  • Regional Feature 100%
  • Financial Time 100%
  • Attention (Machine Learning) 100%
  • Experimental Result 20%
  17 Citations (Scopus)

• A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts

  Yang, Z., Keung, J., Yu, X., Gu, X., Wei, Z., Ma, X. & Zhang, M., 2021, Proceedings - 2021 IEEE/ACM 29th International Conference on Program Comprehension: ICPC 2021. IEEE, p. 1-12 12 p. 9463060. (IEEE International Conference on Program Comprehension).

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

  • Smart Contract 100%
  • Multimodal Transformer 100%
  • Abstract Syntax Tree 33%
  • Coder 33%
  • Experimental Result 16%
  58 Citations (Scopus)

• COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction

  Feng, S., Keung, J., Yu, X., Xiao, Y., Bennin, K. E., Kabir, M. A. & Zhang, M., Jan 2021, In: Information and Software Technology. 129, 106432.

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

  • Software Defect 100%
  • Class Imbalance Problem 100%
  • Defect Prediction 100%
  • Prediction Model 75%
  • Testing Effort 75%
  107 Citations (Scopus)

• ROCT: Radius-based class overlap cleaning technique to alleviate the class overlap problem in software defect prediction

  Feng, S., Keung, J., Liu, J., Xiao, Y., Yu, X. & Zhang, M., 2021, Proceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021. IEEE, p. 228-237 (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

  • Prediction Model 100%
  • Software Defect 100%
  • Defect Prediction 100%
  • Leaning Parameter 100%
  • Class Imbalance Problem 66%
  7 Citations (Scopus)
• 2020

  Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM

  Yu, X., Liu, J., Keung, J. W., Li, Q., Bennin, K. E., Xu, Z., Wang, J. & Cui, X., Mar 2020, In: IEEE Transactions on Reliability. 69, 1, p. 139-153

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

  • Support Vector Machine 100%
  • Defect Prediction 100%
  • Prediction Model 12%
  • Software Module 12%
  • Experimental Result 6%
  51 Citations (Scopus)

• Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance

  Bennin, K. E., Ali, N. B., Börstler, J. & Yu, X., Dec 2020, Proceedings 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security: QRS 2020. IEEE, p. 53-59 9282807. (Proceedings - IEEE International Conference on Software Quality, Reliability, and Security, QRS).

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

  • Prediction Model 100%
  • Just-in-Time 100%
  • Prediction Performance 100%
  • Concept Drift 100%
  • Defect Prediction 100%
  10 Citations (Scopus)
• 2019

  An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction

  Yu, X., Bennin, K. E., Liu, J., Keung, J. W., Yin, X. & Xu, Z., Feb 2019, SANER '19 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering. Wang, X., Lo, D. & Shihab, E. (eds.). IEEE, p. 298-309 8668033. (Proceedings of the ... IEEE International Conference on Software Analysis, Evolution, and Reengineering).

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

  • Ridge Regression 100%
  • Defect Prediction 100%
  • Rank Algorithm 100%
  • Performance Measure 75%
  • Lines of Code 50%
  42 Citations (Scopus)

• Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning

  Xu, Z., Pang, S., Zhang, T., Luo, X.-P., Liu, J., Tang, Y.-T., Yu, X. & Xue, L., Sept 2019, In: Journal of Computer Science and Technology. 34, 5, p. 1039-1062

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

  • Transfer Learning 100%
  • Defect Prediction 100%
  • Defectives 33%
  • Minimizes 33%
  • Prediction Method 33%
  64 Citations (Scopus)

• Scalable and parallel sequential pattern mining using spark

  Yu, X., Li, Q. & Liu, J., Jan 2019, In: World Wide Web. 22, 1, p. 295–324

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

  • Sequential Pattern Mining 100%
  • Map-Reduce 100%
  • Resilient Distributed Dataset 100%
  • Load Balancing 33%
  • Load Balance 33%
  20 Citations (Scopus)
• 2018

  Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning

  Yu, X., Wu, M., Jian, Y., Bennin, K. E., Fu, M. & Ma, C., May 2018, In: Soft Computing. 22, 10, p. 3461-3472

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

  • Transfer Learning 100%
  • Defect Prediction 100%
  • Data Filtering 100%
  • Supervised Clustering 100%
  • Prediction Model 50%
  49 Citations (Scopus)
• 2017

  Learning from Imbalanced Data for Predicting the Number of Software Defects

  Yu, X., Liu, J., Yang, Z., Jia, X., Ling, Q. & Ye, S., Oct 2017, Proceedings : 2017 IEEE 28th International Symposium on Software Reliability Engineering. IEEE Computer Society, Vol. 2017-October. p. 78-89 8109075. (Proceedings - International Symposium on Software Reliability Engineering, ISSRE; vol. 2017-October).

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

  • Experimental Result 100%
  • Software Defect 100%
  • Learning Technique 100%
  • Imbalanced Data 100%
  • Ensemble Learning 100%
  48 Citations (Scopus)