All Stories

  1. From Exploration to Revelation: App-Level Context-Aware Deceptive Pattern Detection for Mobile Applications

    Article • ACM Transactions on Software Engineering and Methodology, May 2026, ACM (Association for Computing Machinery)

    Qinghua Lu

  2. Responsible AI Question Bank for Risk Assessment

    Article • ACM Computing Surveys, January 2026, ACM (Association for Computing Machinery)

    Qinghua Lu

  3. OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories

    Article • November 2025, ACM (Association for Computing Machinery)

    Qinghua Lu, Laurent Cherubin

  4. Quality Attributes in the Age of Artificial Intelligence

    Article • ACM SIGSOFT Software Engineering Notes, July 2025, ACM (Association for Computing Machinery)

    Qinghua Lu

  5. SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation

    Article • April 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Qinghua Lu

  6. DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models

    Article • April 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Qinghua Lu

  7. Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models

    Article • April 2025, ACM (Association for Computing Machinery)

    Qinghua Lu

  8. Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines

    Article • ACM Transactions on Software Engineering and Methodology, March 2025, ACM (Association for Computing Machinery)

    Qinghua Lu

  9. Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges

    Article • ACM Computing Surveys, February 2025, ACM (Association for Computing Machinery)

    QIN WANG, Qinghua Lu, Prof Shiping Chen, Lam Nguyen

  10. Responsible AI Engineering from a Data Perspective (Keynote)

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

    Qinghua Lu

  11. Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models

    Article • Proceedings of the ACM on Software Engineering, July 2024, ACM (Association for Computing Machinery)

    Qinghua Lu

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

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

    Qinghua Lu, Boming Xia

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

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

    Qinghua Lu

  14. Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future

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

    Boming Xia, Yue Liu, Qinghua Lu

  15. A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture

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

    Qinghua Lu, Yue Liu

  16. Responsible AI: Key Metrics for Measuring Accountability

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

    Yue Liu, Boming Xia, Qinghua Lu

  17. Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective

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

    Yue Liu, Qinghua Lu, Boming Xia

  18. 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

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

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

    Qinghua Lu

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

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

    Qinghua Lu

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

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

    Qinghua Lu

  22. 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

  23. 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

  24. 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

  25. 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

  26. Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain

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

    Qinghua Lu

  27. 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

  28. 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

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

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

    Qinghua Lu

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

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

    Qinghua Lu

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

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

    Qinghua Lu

  32. 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

  33. 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

  34. A Collection of Architectural Patterns for Blockchain Governance

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

    Qinghua Lu, Yue Liu

  35. A Systematic Literature Review on Federated Machine Learning

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

    Qinghua Lu

  36. Performance Modeling of Hyperledger Fabric 2.0

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

    Shanshan Li, Qinghua Lu

  37. Software engineering for responsible AI

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

    Qinghua Lu

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

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

    Qinghua Lu

  39. Towards a roadmap on software engineering for responsible AI

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

    Qinghua Lu

  40. Patterns for Blockchain-Based Payment Applications

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

    Prof Shiping Chen, Qinghua Lu