All Stories

  1. CrossFS: Improving Cross-Domain File System Performance with CRDT-Based Metadata Synchronization
  2. OBDD-NET: End-to-End Learning of Ordered Binary Decision Diagrams
  3. Test-Time Adaptation of Medical Vision-Language Models with Mixture of Modality Experts
  4. Are External Contributions Important to Project Productivity in Open Source Software? A Deep Insight based on Issue Entropy
  5. Looking Back to Move Forward: Unveiling the Mysteries of HBM Errors to Predict Future Failures
  6. NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models
  7. Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models
  8. K lotski : Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline
  9. ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering
  10. Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation
  11. Can Machine Learning Pipelines Be Better Configured?
  12. Mask Again: Masked Knowledge Distillation for Masked Video Modeling
  13. Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning
  14. Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension
  15. Understanding and Detecting On-The-Fly Configuration Bugs
  16. Ginver: Generative Model Inversion Attacks Against Collaborative Inference
  17. Influential Global and Local Contexts Guided Trace Representation for Fault Localization
  18. Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study
  19. Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach
  20. de G raph CS: Embedding Variable-based Flow Graph for Neural Code Search
  21. NeuronFair
  22. A universal data augmentation approach for fault localization
  23. Bridging pre-trained models and downstream tasks for source code understanding
  24. Multi-intention-aware configuration selection for performance tuning
  25. Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github’s Sponsor Mechanism
  26. Detecting Adversarial Samples with Graph-Guided Testing
  27. CP-detector
  28. An Empirical Study of Multi-discussing Pattern in Open-Source Software Development
  29. BugSum
  30. On the Shoulders of Giants
  31. Software visualization and deep transfer learning for effective software defect prediction
  32. Transferring Well-Trained Models for Cross-Project Issue Classification
  33. Who Will Become a Long-Term Contributor?
  34. A dataset of duplicate pull-requests in github
  35. Detecting Duplicate Pull-requests in GitHub