Welcome to my academic page :)
Hello
I received my Ph.D. degree from Fudan University under the supervision of Prof. Wenqiang Zhang. I am very fortunate to collaborate on research with Dr. Yanlin Wang, Prof. Hongyu Zhang and Prof. Yu Cheng. Before going to Fudan, I received the B.S. degree in computer science from East China Normal University.
My research interests include Intelligent Software Evolution and LLM-based Agent. The intersection of LLM and software engineering is my favorite area of research lately.
Publications 📝
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng
Advances in Neural Information Processing Systems (NeurIPS), 2024
[pdf]
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
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
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
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
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
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 💼
- 2023.08-2024.06 Research Intern at Shanghai Artificial Intelligence Laboratory
- 2020.11-2021.07 Research Intern at Microsoft Research Asia
Services 🖊
- Reviewer / PC: ACL 2023, EMNLP 2022 2023, IJCAI 2024
Selected Awards ✨
- Outstanding Graduate of Shanghai, in 2024
- 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
- Outstanding League Member by Communist Youth League Anhui Provincial Committee, in 2014