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• On the Importance of Building High-quality Training Datasets for Neural Code Search
  2022 · 65 citations
• CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
  2021 · 11 citations
• AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation
  2024 · 8 citations
• FDI: Attack Neural Code Generation Systems through User Feedback Channel
  2024 · 5 citations
• Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
  2022 · 3 citations
• CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
  2026 · 1 citations
• To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program Repair
  2026
• Executing as You Generate: Hiding Execution Latency in LLM Code Generation
  2026
• Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
  2026
• The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget
  2025
• Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning
  2025
• Source Code Data Augmentation for Deep Learning: A Survey
  2023
• When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
  2024
• Towards Agentic Runtime Healing
  2024