All Stories

  1. LLM See, LLM Do: Enhancing Repository-Aware Code Generation in LLMs Through Logical Context and Usage Knowledge

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

    Yue Yu

  2. Dynamic Memory Forest: Constructing and Tracing Conversational Trajectories for Long-Term Conversation

    Article • July 2026, ACM (Association for Computing Machinery)

    Yue Yu, 晖 王

  3. Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs during Code Adaptation

    Article • Proceedings of the ACM on Software Engineering, June 2026, ACM (Association for Computing Machinery)

    Yue Yu, Shangwen Wang

  4. PPFedIT: Towards Privacy-Preserving Federated Instruction Tuning with Few-shot Local Examples

    Article • ACM Transactions on Intelligent Systems and Technology, May 2026, ACM (Association for Computing Machinery)

    晖 王, Yue Yu

  5. Crimson: Collaborative Parameter Updates for Efficient Pipeline Training of Large Language Models

    Article • April 2026, ACM (Association for Computing Machinery)

    Yue Yu

  6. swKokkos: An Athread Backend for Enhanced Kokkos with the Sunway Heterogeneous Architecture

    Article • April 2026, ACM (Association for Computing Machinery)

    Yue Yu

  7. NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models

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

    Yue Yu

  8. Fate: Fa s s s sE sdge Inference of Mixture-of-Experts Models via Cross-Layer Gate

    Article • April 2026, ACM (Association for Computing Machinery)

    Yue Yu

  9. CrossFS: Improving Cross-Domain File System Performance with CRDT-Based Metadata Synchronization

    Article • ACM Transactions on Storage, March 2026, ACM (Association for Computing Machinery)

    Yue Yu

  10. Survey on Learning-based Dynamic Fault Localization: From Traditional Machine Learning to Large Language Models

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

    Yue Yu

  11. OBDD-NET: End-to-End Learning of Ordered Binary Decision Diagrams

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

    Yue Yu

  12. Test-Time Adaptation of Medical Vision-Language Models with Mixture of Modality Experts

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

    Yue Yu, Tong Zhang

  13. Are External Contributions Important to Project Productivity in Open Source Software? A Deep Insight based on Issue Entropy

    Article • Proceedings of the ACM on Human-Computer Interaction, October 2025, ACM (Association for Computing Machinery)

    Xunhui Zhang, Yang Zhang, Yue Yu

  14. Looking Back to Move Forward: Unveiling the Mysteries of HBM Errors to Predict Future Failures

    Article • ACM Transactions on Storage, September 2025, ACM (Association for Computing Machinery)

    Yue Yu

  15. Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models

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

    Kele Xu, Yue Yu, 晖 王

  16. K lotski : Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline

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

    Yue Yu

  17. Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs

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

    Yue Yu

  18. ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering

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

    Yue Yu

  19. Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation

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

    Yue Yu

  20. Can Machine Learning Pipelines Be Better Configured?

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

    Yue Yu

  21. Mask Again: Masked Knowledge Distillation for Masked Video Modeling

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

    Yue Yu

  22. Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning

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

    Yue Yu

  23. Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension

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

    Yue Yu

  24. Understanding and Detecting On-The-Fly Configuration Bugs

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

    Yue Yu

  25. Ginver: Generative Model Inversion Attacks Against Collaborative Inference

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

    Yue Yu

  26. Influential Global and Local Contexts Guided Trace Representation for Fault Localization

    Article • ACM Transactions on Software Engineering and Methodology, December 2022, ACM (Association for Computing Machinery)

    Yue Yu, Zhang Zhuo

  27. Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study

    Article • Proceedings of the ACM on Human-Computer Interaction, November 2022, ACM (Association for Computing Machinery)

    Yue Yu

  28. Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach

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

    Yue Yu, Shangwen Wang, Zhang Zhuo

  29. de G raph CS: Embedding Variable-based Flow Graph for Neural Code Search

    Article • ACM Transactions on Software Engineering and Methodology, July 2022, ACM (Association for Computing Machinery)

    Yue Yu

  30. NeuronFair

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

    Yue Yu

  31. A universal data augmentation approach for fault localization

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

    Yue Yu

  32. Bridging pre-trained models and downstream tasks for source code understanding

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

    Yue Yu

  33. Multi-intention-aware configuration selection for performance tuning

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

    Yue Yu

  34. Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github’s Sponsor Mechanism

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

    Xunhui Zhang, Yue Yu

  35. Detecting Adversarial Samples with Graph-Guided Testing

    Article • November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Yue Yu, Zuohui Chen

  36. CP-detector

    Article • December 2020, ACM (Association for Computing Machinery)

    Yue Yu

  37. An Empirical Study of Multi-discussing Pattern in Open-Source Software Development

    Article • November 2020, ACM (Association for Computing Machinery)

    Yang Zhang, Yue Yu

  38. BugSum

    Article • July 2020, ACM (Association for Computing Machinery)

    Yue Yu

  39. On the Shoulders of Giants

    Article • June 2020, ACM (Association for Computing Machinery)

    Yue Yu, Xunhui Zhang

  40. Software visualization and deep transfer learning for effective software defect prediction

    Article • June 2020, ACM (Association for Computing Machinery)

    Yue Yu

  41. Transferring Well-Trained Models for Cross-Project Issue Classification

    Article • September 2018, ACM (Association for Computing Machinery)

    Yue Yu

  42. Who Will Become a Long-Term Contributor?

    Article • September 2018, ACM (Association for Computing Machinery)

    Yue Yu

  43. A dataset of duplicate pull-requests in github

    Article • May 2018, ACM (Association for Computing Machinery)

    Yue Yu

  44. Detecting Duplicate Pull-requests in GitHub

    Article • September 2017, ACM (Association for Computing Machinery)

    Yue Yu