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• CCT5: A Code-Change-Oriented Pre-Trained Model
  2023 · 53 citations
• How Different Is It Between Machine-Generated and Developer-Provided Patches? An Empirical Study on The Correct Patches Generated by Automated Program Repair Techniques
  2019 · 32 citations
• On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs
  2020 · 14 citations
• Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
  2023 · 9 citations
• Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
  2022 · 3 citations
• Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
  2025 · 2 citations
• Large Language Models-Aided Program Debloating
  2025 · 2 citations
• Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
  2025