Yun Peng

35 papers A* 6A 1Journal 25Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
3D Software Synthesis Guided by Constraint-Expressive Intermediate Representation.
CoRR
Shuqing Li, Anson Y. Lam, Yun Peng, Wenxuan Wang, Michael R. Lyu
2025 J jnl
COFFE: A Code Efficiency Benchmark for Code Generation.
Proc. ACM Softw. Eng.
Yun Peng, Jun Wan, Yichen Li, Xiaoxue Ren
2025 J jnl
ComboBench: Can LLMs Manipulate Physical Devices to Play Virtual Reality Games?
CoRR
Shuqing Li, Jiayi Yan, Chenyu Niu, Jen-tse Huang, Yun Peng, Wenxuan Wang, Yepang Liu, Michael R. Lyu
2025 A* conf
Metamorphic Testing for Audio Content Moderation Software.
ASE
Wenxuan Wang, Yongjiang Wu, Junyuan Zhang, Shuqing Li, Yun Peng, Wenting Chen, Shuai Wang, Michael R. Lyu
2025 J jnl
Metamorphic Testing for Audio Content Moderation Software.
CoRR
Wenxuan Wang, Yongjiang Wu, Junyuan Zhang, Shuqing Li, Yun Peng, Wenting Chen, Shuai Wang, Michael R. Lyu
2025 — conf
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback.
Forge@ICSE
Yun Peng, Akhilesh Deepak Gotmare, Michael R. Lyu, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2025 J jnl
Understanding the Robustness of Transformer-Based Code Intelligence via Code Transformation: Challenges and Opportunities.
IEEE Trans. Software Eng.
Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Michael R. Lyu, Zenglin Xu
2025 J jnl
\texttt{ReMind}: Understanding Deductive Code Reasoning in LLMs.
CoRR
Jun Gao, Yun Peng, Xiaoxue Ren
2024 A* conf
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors.
ICSE
Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu
2024 — conf
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.
LLM4CODE@ICSE
Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu
2024 J jnl
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.
CoRR
Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu
2024 J jnl
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps.
CoRR
Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu
2024 J jnl
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps.
Proc. ACM Softw. Eng.
Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu
2024 A* conf
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem.
ICSE
Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu
2024 J jnl
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback.
CoRR
Yun Peng, Akhilesh Deepak Gotmare, Michael R. Lyu, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2023 J jnl
(p,q)-biclique counting and enumeration for large sparse bipartite graphs.
VLDB J.
Jianye Yang, Yun Peng, Dian Ouyang, Wenjie Zhang, Xuemin Lin, Xiang Zhao
2023 J jnl
API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning.
IEEE Trans. Software Eng.
Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu
2023 J jnl
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors.
CoRR
Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu
2023 A* conf
Generative Type Inference for Python.
ASE
Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu
2023 J jnl
Generative Type Inference for Python.
CoRR
Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu
2023 J jnl
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem.
CoRR
Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu
2023 J jnl
Prompt Tuning in Code Intelligence: An Experimental Evaluation.
IEEE Trans. Software Eng.
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu
2023 A* conf
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.
ASE
Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu
2023 J jnl
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.
CoRR
Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu
2023 J jnl
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
IEEE Trans. Software Eng.
Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu
2022 J jnl
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities.
CoRR
Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu
2022 J jnl
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning.
CoRR
Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu
2022 J jnl
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence.
CoRR
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu
2022 — conf
No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence.
ESEC/SIGSOFT FSE
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu
2022 A conf
Source Code Summarization with Structural Relative Position Guided Transformer.
SANER
Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu
2022 J jnl
Source Code Summarization with Structural Relative Position Guided Transformer.
CoRR
Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu
2022 A* conf
Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python.
ICSE
Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu
2021 J jnl
(p, q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs.
Proc. VLDB Endow.
Jianye Yang, Yun Peng, Wenjie Zhang
2021 J jnl
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.
CoRR
Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu
2021 J jnl
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
CoRR
Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu