Yun Peng

According to our database, Yun Peng authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps.

Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu

Proc. ACM Softw. Eng., 2024

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps.

Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu

CoRR, 2024

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.

Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu

LLM4CODE@ICSE, 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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Prompt Tuning in Code Intelligence: An Experimental Evaluation.

Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu

IEEE Trans. Software Eng., November, 2023

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.

Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu

Dataset, November, 2023

(p,q)-biclique counting and enumeration for large sparse bipartite graphs.

Jianye Yang, Yun Peng, Dian Ouyang, Wenjie Zhang, Xuemin Lin, Xiang Zhao

VLDB J., September, 2023

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 Trans. Software Eng., April, 2023

API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning.

Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu

IEEE Trans. Software Eng., 2023

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

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Generative Type Inference for Python.

Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities.

Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu

CoRR, 2022

Source Code Summarization with Structural Relative Position Guided Transformer.

Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu

Proceedings of the IEEE International Conference on Software Analysis, 2022

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence.

Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python.

Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.

Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu

Dataset, December, 2021

(p, q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs.

Jianye Yang, Yun Peng, Wenjie Zhang

Proc. VLDB Endow., 2021

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu

CoRR, 2021