Welcome to my academic page :)

Hello 😊

I am a Ph.D. candidate at Fudan University under the supervision of Prof. Wenqiang Zhang. Before going to Fudan, I received the B.S. degree in computer science from East China Normal University.

My research interests include Intelligent Software Maintenance and Evolution and LLM-based Agent. The intersection of LLM and software engineering is my favorite area of research lately.

Publications 📝

KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation

Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang

ACM Transactions on Software Engineering and Methodology (TOSEM), 2024

[pdf] [code]

A Large-Scale Empirical Study of Commit Message Generation: Models, Datasets and Evaluation

Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang

Empirical Software Engineering (EMSE), 2022

[pdf] [code]

On the Evaluation of Commit Message Generation Models: An Experimental Study

Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang

IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021

[pdf] [code]

Type-Aware Medical Visual Question Answering

Anda Zhang, Wei Tao, Ziyan Li, Haofen Wang, Wenqiang Zhang

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

[pdf] [code]

Triple Sequence Generative Adversarial Nets for Unsupervised Image Captioning

Yucheng Zhou, Wei Tao, Wenqiang Zhang

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021

[pdf]

RACE: Retrieval-augmented Commit Message Generation

Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

Empirical Methods in Natural Language Processing (EMNLP), 2022

[pdf] [code]

A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances

Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang

Information Fusion, 2022

[pdf]

Experiences 💼

Services 🖊

  • Reviewer: ACL 2023, EMNLP 2022 2023, IJCAI 2024

Selected Awards

  • Stars of Tomorrow (Award of Excellent Intern) at MSRA, in 2021
  • 1st Class Scholarship at Fudan Univ., in 2019,2020,2021,2022
  • Excellent Student Cadre at Fudan Univ., in 2020
  • Outstanding League Cadres at Fudan Univ., in 2020
  • Merit Student at Fudan Univ., in 2019
  • Outstanding Graduates at ECNU, in 2018
  • 2nd National Prize at Chinese Undergraduate Computer Design Competition, in 2018
  • Outstanding Volunteer at ECNU, in 2015