HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. - Yun Peng 003; Zongjie Li; Cuiyun Gao 001; Bowei Gao; David Lo 001; Michael R. Lyu (CoRR, 2021)

(p, q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs. - Jianye Yang 001; Yun Peng 003; Wenjie Zhang 001 (Proc. VLDB Endow., 2021)

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (Zenodo, 2021)

Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. - Yun Peng 003; Cuiyun Gao 001; Zongjie Li; Bowei Gao; David Lo 001; Qirun Zhang; Michael R. Lyu (ICSE, 2022)

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. - Chaozheng Wang; Yuanhang Yang; Cuiyun Gao 001; Yun Peng 003; Hongyu Zhang 002; Michael R. Lyu (ESEC/SIGSOFT FSE, 2022)

Source Code Summarization with Structural Relative Position Guided Transformer. - Zi Gong; Cuiyun Gao 001; Yasheng Wang; Wenchao Gu; Yun Peng 003; Zenglin Xu (SANER, 2022)

A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. - Yaoxian Li; Shiyi Qi; Cuiyun Gao 001; Yun Peng 003; David Lo 001; Zenglin Xu; Michael R. Lyu (CoRR, 2022)

Generative Type Inference for Python. - Yun Peng 003; Chaozheng Wang; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (ASE, 2023)

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. - Chaozheng Wang; Zongjie Li; Yun Peng 003; Shuzheng Gao; Sirong Chen; Shuai Wang 011; Cuiyun Gao 001; Michael R. Lyu (ASE, 2023)

API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. - Yujia Chen; Cuiyun Gao 001; Xiaoxue Ren; Yun Peng 003; Xin Xia 001; Michael R. Lyu (IEEE Trans. Software Eng., 2023)

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (IEEE Trans. Software Eng., 2023)

(p,q)-biclique counting and enumeration for large sparse bipartite graphs. - Jianye Yang 001; Yun Peng 003; Dian Ouyang; Wenjie Zhang 001; Xuemin Lin 001; Xiang Zhao 002 (VLDB J., 2023)

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (Zenodo, 2023)

Prompt Tuning in Code Intelligence: An Experimental Evaluation. - Chaozheng Wang; Yuanhang Yang; Cuiyun Gao 001; Yun Peng 003; Hongyu Zhang 002; Michael R. Lyu (IEEE Trans. Software Eng., 2023)

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. - Yun Peng 003; Shuzheng Gao; Cuiyun Gao 001; Yintong Huo; Michael R. Lyu (ICSE, 2024)

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. - Yun Peng 003; Ruida Hu; Ruoke Wang; Cuiyun Gao 001; Shuqing Li 001; Michael R. Lyu (ICSE, 2024)

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. - Yichen Li 003; Yun Peng 003; Yintong Huo; Michael R. Lyu (LLM4CODE@ICSE, 2024)

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps. - Shuqing Li 001; Cuiyun Gao 001; Jianping Zhang 002; Yujia Zhang; Yepang Liu 001; Jiazhen Gu; Yun Peng 003; Michael R. Lyu (CoRR, 2024)

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps. - Shuqing Li 001; Cuiyun Gao 001; Jianping Zhang 002; Yujia Zhang; Yepang Liu 001; Jiazhen Gu; Yun Peng 003; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback. - Yun Peng 003; Akhilesh Deepak Gotmare; Michael R. Lyu; Caiming Xiong; Silvio Savarese; Doyen Sahoo (Forge@ICSE, 2025)

COFFE: A Code Efficiency Benchmark for Code Generation. - Yun Peng 003; Jun Wan; Yichen Li 003; Xiaoxue Ren (Proc. ACM Softw. Eng., 2025)

Understanding the Robustness of Transformer-Based Code Intelligence via Code Transformation: Challenges and Opportunities. - Yaoxian Li; Shiyi Qi; Cuiyun Gao 001; Yun Peng 003; David Lo 001; Michael R. Lyu; Zenglin Xu (IEEE Trans. Software Eng., 2025)

3D Software Synthesis Guided by Constraint-Expressive Intermediate Representation. - Shuqing Li 001; Anson Y. Lam; Yun Peng 003; Wenxuan Wang 001; Michael R. Lyu (CoRR, 2025)