Xiaodong GU


Associate Professor

School of Computer Science, Shanghai Jiao Tong University

Contact:

Room 1208, Software Building, No.800 Dongchuan Road, Shanghai, China
Email:

Research Interest:

My research focuses on large language models for natural and programming languages. I develop efficient machine learning methodologies for software code. My research topics are:

Github 

Selected Publications

[Full List] [Google Scholar]

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
Yuling Shi, Songsong Wang, Chengcheng Wan, Min Wang and Xiaodong Gu*
In Proceedings of the 48th International Conference on Software Engineering (ICSE 2026). Rio De Janeiro, Brazil, April 12 - 18, 2026. (CCF-A)
[paper] [code]

LongCodeZip: Compress Long Context for Code Language Models
Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu*
In Proceedings of the 40th International Conference on Automated Software Engineering (ASE 2025), Seoul, Korea, Nov. 16-20, 2025 (CCF-A)
[paper] [code]

Transplant Then Regenerate: A New Paradigm for Text Data Augmentation
Guangzhan Wang, Hongyu Zhang, Beijun Shen and Xiaodong Gu*
In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). Suzhou, China, Nov 5 - 9, 2025. (CCF-B)
[code]

LastingBench: Defend Benchmarks Against Knowledge Leakage
Yixiong Fang, Tianran Sun, Yuling Shi, Min Wang and Xiaodong Gu*
In Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Findings). Suzhou, China, Nov 5 - 9, 2025. (CCF-B)
[paper] [code]

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
Yuling Shi, Hongyu Zhang, Chengcheng Wan and Xiaodong Gu*
In Proceedings of the 47th International Conference on Software Engineering (ICSE 2025). Ottawa, Ontario, Canada, April 27 - May 3, 2025. (CCF-A)
[paper] [code] [bibtex]

On the Effectiveness of Large Language Models in Domain-Specific Code Generation
Xiaodong Gu*, Meng Chen, Yalan Lin, Yuhan Hu, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, Juhong Wang
ACM Transactions on Software Engineering and Methodology (TOSEM 2024) (CCF-A, ESI Highly Citated Paper)
[paper]

How Effectively Do Code Language Models Understand Poor-Readability Code?
Chao Hu, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou and Xiaodong Gu*
In Proceedings of the 39th ACM/IEEE International Conference on Automated Software Engineering (ASE 2024). Sacramento, California, United States, Oct 27 - Nov 1, 2024. (CCF-A)
[paper] [code] [bibtex]

VarGAN: Adversarial Learning of Variable Semantic Representations
Yalan Lin, Chengcheng Wan, Shuwen Bai, Xiaodong Gu*
IEEE Transactions on Software Engineering (TSE 2024) (CCF-A)
[paper] [code]

On the Evaluation of Neural Code Translation: Taxonomy and Benchmark
Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu*, Beijun Shen
In Proceedings of the 38th International Conference on Automated Software Engineering (ASE 2023), Kirchberg, Luxembourg, Sept. 11-15, 2023 (CCF-A)
[paper] [slides] [code]

InfeRE: Step-by-Step Regex Generation via Chain of Inference
Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen
In Proceedings of the 38th International Conference on Automated Software Engineering (ASE 2023), Kirchberg, Luxembourg, Sept. 11-15, 2023 (CCF-A)
[paper] [slides] [code] [bibtex]

Self-Supervised Query Reformulation for Code Search
Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu*
In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023), San Francisco, California, United States, Dec 3-9, 2023 (CCF-A)
[paper] [slides] [code] [bibtex]

Diet Code Is Healthy: Simplifying Programs for Pre-Trained Models of Code
Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu*
In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), Singapore, Nov 14-18, 2022 (CCF-A)
[paper] [slides] [code] [bibtex]

Cross-Domain Deep Code Search with Meta Learning
Yitian Chai, Hongyu Zhang, Beijun Shen and Xiaodong Gu*
In Proceedings of the 44th International Conference on Software Engineering (ICSE 2022) (CCF-A)
[paper] [code] [slides] [bibtex]

Teaching

Students

I am grateful to the wonderful students I have been collaborating with

Alumni

Grants

Services

Program Committee ASE (2025), ACL (2023), EMNLP (2021, 2022, 2023), COLING (2020, 2022, 2024), IJCAI (2023), EACL (2023)
Reviewer Board Automated Software Engineering (AUSE), Empirical Software Engineering (EMSE)
Journal Reviewer TSE, TOSEM, EMSE, IST, JSS, FCS