Awards
- ACM SIGSOFT Distinguished Paper Award for Paper "Generative Type Inference for Python" at ASE'23, Sep 2023.
- ACM SIGSOFT Distinguished Paper Award Nomination for Paper "Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python" at ICSE'22, May 2022.
Talks
- "大模型时代下的智能化代码分析与修复" @ USTC, 2023. [Slices]
Statistics
Total Publications
First-author Publications
2024
"Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors"
Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu
46th International Conference on Software Engineering, Lisbon, Portugal, Apr 14-20, 2024 
"Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem"
Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu
46th International Conference on Software Engineering, Lisbon, Portugal, Apr 14-20, 2024
2023
"Generative Type Inference for Python"
Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu
38th IEEE/ACM International Conference on Automated Software Engineering, Kirchberg, Luxembourg, Sep 11-15, 2023
ACM SIGSOFT Distinguished Paper Award 
"REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes"
Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu
38th IEEE/ACM International Conference on Automated Software Engineering, Kirchberg, Luxembourg, Sep 11-15, 2023 (Industry Challenge)
Distinguished Paper Award for Industry Challenge Track
"Prompt Tuning in Code Intelligence: An Experimental Evaluation"
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu
IEEE Transactions on Software Engineering
"API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning"
Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu
IEEE Transactions on Software Engineering
2022
"Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?"
Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu
IEEE Transactions on Software Engineering
"No More Fine-tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence"
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang and Michael R. Lyu
30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Singapore, Nov 14-18, 2022
”Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python”
Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu
44th International Conference on Software Engineering, Pittsburgh, PA, USA, May 21-29, 2022
Nominated for ACM SIGSOFT Distinguished Paper Award
"Source code summarization with structural relative position guided Transformer"
Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng and Zenglin Xu
29th IEEE International Conference onSoftware Analysis, Evolution and Reengineering, March 15-18, 2022
2021
”An Empirical Study for Common Language Features Used in Python Projects”
Yun Peng, YuZhang, Mingzhe Hu
28th IEEE International Conference on Software Analysis, Evolution and Reengineering, Honolulu, HI, USA, March 9-12, 2021
Detailed Research Projects
ASE 2023
ASE 2023 Generative Type Inference for Python Paper Information Paper Name: Generative Type Inference for Python Conference: 38th IEEE/ACM International…
TSE 2022
TSE 2022 Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? Paper Information Paper Name: Revisiting, Benchmarking and Exploring…
ICSE22
ICSE 2022 Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python Paper Information Paper Name: Static Inference…
SANER2021
SANER 2021 An Empirical Study for Common Language Features Used in Python Projects Paper Information Paper Name: An Empirical Study for…