Xiaodong GU


Associate Professor

School of Software, Shanghai Jiao Tong University

Contact:

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

Research Interest:

My research focuses on deep learning 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]

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]

Zero-Shot Program Representation Learning
Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen,
In Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022), Virtual, May 16-17, 2022 (CCF-B)
[paper] [code] [slides] [bibtex]

Self-Supervised Learning of Smart Contract Representations
Shouliang Yang, Xiaodong Gu, Beijun Shen
In Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022), Virtual, May 16-17, 2022 (CCF-B)
[code] [slides] [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]

DialogBERT: Discource Aware Response Generation via Learning to Recover and Rank Utterances
Xiaodong Gu, Kang Min Yoo, and Jung-Woo Ha
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021) (CCF-A)

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts
Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, and Miao Zhang
The 2021 International Conference on Program Comprehension (ICPC 2021) (CCF-B)
[arXiv] [code] [data]

Deep Code Search
Xiaodong Gu, Hongyu Zhang, Sunghun Kim
In Proceedings of the 40th International Conference on Software Engineering (ICSE 2018), Gothenburg, Sweden, May 27 - June 3, 2018 (CCF-A)
[paper] [code] [slides] [bibtex]

Deep API Learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
In Proceedings of the 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2016), Seattle, WA, USA, November 13–18, 2016 (CCF-A)
[project website] [paper] [slides] [code] [bibtex]

Teaching

Students

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

Alumni

Grants

Services

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