Guang Yang (杨光)

Guang Yang (杨光)

PhD in NUAA

🗺️ Maps

👀 About Me

I am a PhD student in the College of Computer Science and Technology of Nanjing University of Aeronautics and Astronautics.

My research focuses on Intelligent Software Engineering, with a spotlight on the following key areas:

  • Reliability
  • Robustness
  • Security
  • Economy
  • Evaluation Metrics
  • Others

My advisor is Professor Yu Zhou (周宇), Xiang Chen (陈翔), and David Lo. I have published over 30 papers at the international SE conferences (e.g., SANER, ICSME) and journals (e.g., TSE, TOSEM, EMSE).

🔥 News

  • 2024.08:  🎉 One paper is accepted by TSE!

📖 Educations

  • 2024.08 - 2025.08, Visiting Ph.D student, Singapore Management University, Singapore.
  • 2022.09 - present, Nanjing University of Aeronautics and Astronautics, major in Software Engineering.
  • 2019.09 - 2022.06, Nantong University, major in Computer Technology.
  • 2015.09 - 2019.06, Nantong University, major in Software Engineering.

📝 Selected Publications

  1. TSE'24 Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models.
    Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, and Taolue Chen.
    In Transactions on Software Engineering, To appear. (IF2024: 6.5, CCF-A)
    [Code] [DOI]

  2. TOSEM'24 How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective.
    Guang Yang, Yu Zhou, Wenhua Yang, Tao Yue, Xiang Chen, and Taolue Chen.
    In ACM Transactions on Software Engineering and Methodology, March, 2024. (IF2024: 6.6, CCF-A)
    [Code] [DOI]

  3. 计算机研究与发展'24 CodeScore-R：用于评估代码合成功能准确性的自动化鲁棒指标.
    杨光, 周宇, 陈翔, 张翔宇.
    In 计算机研究与发展, 2024. (IF2024: 4.149, 中文 CCF-A)
    [DOI]

  4. KBS'22 CCGIR: Information Retrieval-based Code Comment Generation Method for Smart Contracts.
    Guang Yang, Ke Liu, Xiang Chen, Yanlin Zhou, Chi Yu, and Hao Lin.
    In Knowledge-Based Systems, February, 2022. (IF2022: 8.139, SCI-Q1)
    [Code] [DOI]

  5. EMSE'23 A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation.
    Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Yiran Xu, Tingting Han, and Taolue Chen.
    In Empirical Software Engineering, October, 2023. (IF2023: 4.1, CCF-B)
    [Code] [DOI]

  6. JSS'23 ExploitGen: Template-Augmented Exploit Code Generation Based on CodeBERT.
    Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Tingting Han, Taolue Chen.
    In Journal of Systems and Software, March, 2023. (IF2023: 3.5, CCF-B)
    [Code] [DOI]

  7. SANER'22 DualSC: Automatic Generation and Summarization of ShellCode via Transformer and Dual Learning.
    Guang Yang, Xiang Chen, Yanlin Zhou, and Chi Yu.
    In Proceedings of the 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), March, 2022. (CCF-B)
    [Code] [DOI]

  8. APSEC'21 Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer.
    Guang Yang, Yanlin Zhou, Xiang Chen, and Chi Yu.
    In Proceedings of the 28th Asia-Pacific Software Engineering Conference (APSEC), December, 2021. (CCF-C)
    [Code] [DOI]

  9. SEKE'21 DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa.
    Guang Yang, Yanlin Zhou, Chi Yu, and Xiang Chen.
    In Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE), July, 2021. (CCF-C)
    [Code] [DOI]

🔍 Reviewers

  • ICLR ICLR 2025
  • CCF-B Automated Software Engineering
  • CCF-B Information Processing & Management
  • CCF-B EMNLP 2023
  • CCF-C Expert Systems With Applications
  • CCF-C Soft Computing
  • CCF-C Engineering Applications of Artificial Intelligence