Publications

2024

• [ISSTA’24] SCALE: Constructing Symbolic Comment Trees for Software Vulnerability Detection (CCF-A)
  Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao and Michael R. Lyu
  The 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, September 16-20, 2024, Vienna, Austria

• [ICSE’24] Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models (CCF-A)
  Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia and Michael R. Lyu
  The 46th International Conference on Software Engineering, April 14-20, 2024, Lisbon, Portugal

• [ICSE’24] Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors (CCF-A)
  Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo and Michael R. Lyu
  The 46th International Conference on Software Engineering, April 14-20, 2024, Lisbon, Portugal
  [Arxiv] | [Code]

2023

• [ASE’23] What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs? (CCF-A)
  Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang and Michael R. Lyu
  The 38th International Conference on Automated Software Engineering, September 11-15, 2023, Kirchberg, Luxembourg
  [Arxiv] | [Code]

• [ASE-Inch’23] REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes
  Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao and Michael R. Lyu
  The 38th International Conference on Automated Software Engineering (Industry Challenge Track), September 11-15, 2023, Kirchberg, Luxembourg
  [Arxiv] | [Code] | Distinguished Paper Award

• [ICSE’23] Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension (CCF-A)
  Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo and Yue Yu
  The 45th International Conference on Software Engineering, May 14-20, 2023, Melbourne, Australia
  [Arxiv] | [Code]

• [ICSE’23] Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models (CCF-A)
  Shuzheng Gao, Hongyu Zhang, Cuiyun Gao and Chaozheng Wang
  The 45th International Conference on Software Engineering, May 14-20, 2023, Melbourne, Australia
  [Arxiv] | [Code]

• [TOSEM’23] Code Structure Guided Transformer for Source Code Summarization (CCF-A)
  Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lun Yiu Nie, Xin Xia and Michael R. Lyu
  ACM Transactions on Software Engineering and Methodology
  [Arxiv] | [Code] | Presented as a journal-first paper at ASE 2022

2022

• [TNNLS’22] Label-Aware Distribution Calibration for Long-tailed Classification (CCF-B)
  Chaozheng Wang*, Shuzheng Gao*, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan and Zenglin Xu
  IEEE Transactions on Neural Networks and Learning Systems
  [Arxiv]

• [ACAIT’22] Improving Long-Tailed Classification Via Decoupling and Regularization
  Shuzheng Gao*, Chaozheng Wang*, Cuiyun Gao, Wenjian Luo, Peiyi Han and Qing Liao
  The 6th Asian Conference on Artificial Intelligence Technology, December 9-11, 2022, Changzhou, China
  Best student paper award

• [TRel’22] Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit (JCR Q1)
  Shiyi Qi, Yaoxian Li, Cuiyun Gao, Xiaohong Su, Shuzheng Gao, Zibin Zheng and Chuanyi Liu
  IEEE Transactions on Reliability

Preprint

1. BadCS: A Backdoor Attack Framework for Code search
   Shiyi Qi, Yuanhang Yang, Shuzheng Gao, Cuiyun Gao and Zenglin Xu

(* denotes equal contribution.)