All Stories

  1. Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code

    Article • April 2024, ACM (Association for Computing Machinery)

    Qinghua Lu

  2. Where is it? Tracing the Vulnerability-relevant Files from Vulnerability Reports

    Article • April 2024, ACM (Association for Computing Machinery)

    Qinghua Lu

  3. Enhancing Exploratory Testing by Large Language Model and Knowledge Graph

    Article • April 2024, ACM (Association for Computing Machinery)

    Qinghua Lu

  4. On the Way to SBOMs: Investigating Design Issues and Solutions in Practice

    Article • ACM Transactions on Software Engineering and Methodology, March 2024, ACM (Association for Computing Machinery)

    Qinghua Lu

  5. Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains

    Article • ACM Transactions on Software Engineering and Methodology, December 2023, ACM (Association for Computing Machinery)

    Qinghua Lu

  6. Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications

    Article • October 2023, ACM (Association for Computing Machinery)

    Qinghua Lu

  7. Improving Adversarial Transferability via Frequency-based Stationary Point Search

    Article • October 2023, ACM (Association for Computing Machinery)

    Zhiyu Zhu, Zhibo Jin, Qinghua Lu, Prof Jun Shen

  8. FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning

    Article • October 2023, ACM (Association for Computing Machinery)

    Zhiyu Zhu, Qinghua Lu, Prof Jun Shen, Zhibo Jin

  9. Aspect-Level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods

    Article • ACM Transactions on Software Engineering and Methodology, October 2023, ACM (Association for Computing Machinery)

    Qinghua Lu

  10. Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering

    Article • ACM Computing Surveys, October 2023, ACM (Association for Computing Machinery)

    Qinghua Lu

  11. FQN Inference in Partial Code by Prompt-tuned Language Model of Code

    Article • ACM Transactions on Software Engineering and Methodology, August 2023, ACM (Association for Computing Machinery)

    Qinghua Lu

  12. API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model

    Article • ACM Transactions on Software Engineering and Methodology, July 2023, ACM (Association for Computing Machinery)

    Qinghua Lu

  13. Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation

    Article • May 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Qinghua Lu

  14. Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence

    Article • May 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Qinghua Lu

  15. SoapOperaTG: A Tool for System Knowledge Graph Based Soap Opera Test Generation

    Article • May 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Qinghua Lu

  16. Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing

    Article • October 2022, ACM (Association for Computing Machinery)

    Qinghua Lu

  17. Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code

    Article • October 2022, ACM (Association for Computing Machinery)

    Qinghua Lu

  18. A Collection of Architectural Patterns for Blockchain Governance

    Article • July 2022, ACM (Association for Computing Machinery)

    Qinghua Lu, Yue Liu

  19. A Systematic Literature Review on Federated Machine Learning

    Article • ACM Computing Surveys, June 2022, ACM (Association for Computing Machinery)

    Qinghua Lu

  20. Performance Modeling of Hyperledger Fabric 2.0

    Article • June 2022, ACM (Association for Computing Machinery)

    Shanshan Li, Qinghua Lu

  21. Software engineering for responsible AI

    Article • May 2022, ACM (Association for Computing Machinery)

    Qinghua Lu

  22. Dependency tracking for risk mitigation in machine learning (ML) systems

    Article • May 2022, ACM (Association for Computing Machinery)

    Qinghua Lu

  23. Towards a roadmap on software engineering for responsible AI

    Article • May 2022, ACM (Association for Computing Machinery)

    Qinghua Lu

  24. Patterns for Blockchain-Based Payment Applications

    Article • July 2021, ACM (Association for Computing Machinery)

    shiping Chen, Qinghua Lu