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Yun Peng 0003
Person information
- unicode name: 彭昀
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Yun Peng — disambiguation page
- Yun Peng 0001 — University of Maryland, Department of Computer Science and Electrical Engineering, Baltimore County, MD, USA
- Yun Peng 0002
— Guangzhou University, Guangdong Provincial Key Laboratory of Blockchain Security, China (and 1 more)
- Yun Peng 0004 — Jiangxi Normal University, College of Computer Information Engineering, Nanchang, China
- Yun Peng 0005 — Capital Medical University, Beijing Children's Hospital, Department of Radiology, China
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2020 – today
- 2024
- [j6]Shuqing Li
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps. Proc. ACM Softw. Eng. 1(FSE): 2167-2189 (2024) - [c8]Yun Peng
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. ICSE 2024: 4:1-4:13 - [c7]Yun Peng
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. ICSE 2024: 202:1-202:12 - [c6]Yichen Li
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. LLM4CODE@ICSE 2024: 70-74 - [i12]Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu:
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. CoRR abs/2402.03630 (2024) - [i11]Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu:
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps. CoRR abs/2406.09313 (2024) - 2023
- [j5]Yun Peng
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? IEEE Trans. Software Eng. 49(4): 1876-1897 (2023) - [j4]Yujia Chen
API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. IEEE Trans. Software Eng. 49(5): 3289-3304 (2023) - [j3]Chaozheng Wang
Prompt Tuning in Code Intelligence: An Experimental Evaluation. IEEE Trans. Software Eng. 49(11): 4869-4885 (2023) - [j2]Jianye Yang, Yun Peng, Dian Ouyang, Wenjie Zhang, Xuemin Lin, Xiang Zhao:
(p,q)-biclique counting and enumeration for large sparse bipartite graphs. VLDB J. 32(5): 1137-1161 (2023) - [c5]Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. ASE 2023: 988-999 - [c4]Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. ASE 2023: 1952-1962 - [d2]Yun Peng
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. Version 2. Zenodo, 2023 [all versions] - [i10]Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu:
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. CoRR abs/2306.01394 (2023) - [i9]Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. CoRR abs/2307.09163 (2023) - [i8]Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. CoRR abs/2309.08115 (2023) - [i7]Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu:
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. CoRR abs/2310.12598 (2023) - 2022
- [c3]Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo
Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. ICSE 2022: 2019-2030 - [c2]Chaozheng Wang
No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. ESEC/SIGSOFT FSE 2022: 382-394 - [c1]Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu:
Source Code Summarization with Structural Relative Position Guided Transformer. SANER 2022: 13-24 - [i6]Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu:
Source Code Summarization with Structural Relative Position Guided Transformer. CoRR abs/2202.06521 (2022) - [i5]Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu:
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. CoRR abs/2207.04285 (2022) - [i4]Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence. CoRR abs/2207.11680 (2022) - [i3]Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning. CoRR abs/2208.01971 (2022) - 2021
- [j1]Jianye Yang, Yun Peng, Wenjie Zhang:
(p, q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs. Proc. VLDB Endow. 15(2): 141-153 (2021) - [d1]Yun Peng
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. Version v1.0. Zenodo, 2021 [all versions] - [i2]Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu:
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. CoRR abs/2105.03595 (2021) - [i1]Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? CoRR abs/2112.12653 (2021)
Coauthor Index
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