Zhenyu Qi
Ph.D. Student in Computer Science & Engineering
Department of Electrical and Computer Engineering, University of Arizona
Tucson, Arizona, United States
Email: qzydustin@arizona.edu
Profiles: LinkedIn · DBLP · Google Scholar
OpenReview · Semantic Scholar · ORCID
Research Interests
- Large Language Models for Code Generation and Software Engineering
- Program Analysis, Testing, and Software Security
- Reinforcement Learning for Coding and Decision-Making Systems
Education
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University of Arizona, Tucson, AZ
Ph.D. in Computer Science & Engineering, advised by Dr. Sen He
Jan 2024 - Present -
University of Arizona, Tucson, AZ
M.S. in Computer Science
Aug 2021 - Dec 2023 -
University of Wisconsin-Eau Claire, Eau Claire, WI
B.S. in Computer Science
Jan 2019 - May 2021
Academic Appointments
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Research Assistant, University of Arizona
Supervised by Dr. Sen He
Jan 2024 - Present -
Teaching Assistant, University of Arizona
CSc 460: Database Design
Sep 2023
Ongoing Research
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Enhanced Code Generation via a Performance-Guided LLM Ensemble
Developing a performance-guided ensemble of large language models to improve code generation accuracy, efficiency, and overall performance. -
Evaluating the Effectiveness of RL-based LLM Distillation on Coding Tasks
Investigating the impact of reinforcement learning-based distillation on LLMs for coding tasks.
Publications
Published
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Zhenyu Qi, Haotang Li, Hao Qin, Kebin Peng, Sen He, Xue Qin.
Harnessing Large Language Models for Virtual Reality Exploration Testing: A Case Study.
Automated Software Engineering, 33(1), Article 7, 2026. -
Haotang Li, Zhenyu Qi, Tan Ahmed, Shuyuan Zhang, Sen He, Zhengkun Wang, Guoqiang Li.
Ultra-Wideband Radar-Based Sensing Poultry Litter Moisture Content Monitoring System.
Animals, 16(9), 1382, 2026. -
Haotang Li, Zhenyu Qi, Sen He, Kebin Peng, Sheng Tan, Yunchao Ren, Tomas Cerny, Jiawei Zhao, Zhengkun Wang.
UWB-PostureGuard: A Privacy-Preserving RF Sensing System for Continuous Ergonomic Sitting Posture Monitoring.
Hawaii International Conference on System Sciences (HICSS 2026), 2026. -
Xin Du, Shan Zhong, Shengrong Gong, Yali Si, Zhenyu Qi.
Enhancing Model Learning in Reinforcement Learning Through Q-Function-Guided Trajectory Alignment.
Applied Intelligence, 2025. -
Wenjie Huang, Jinfu Chen, Huashan Chen, Zhenyu Qi, Xiaojia Yang, Kebin Peng, Sen He.
A Study of Code Clone on Open Source VR Software.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024. -
Yuantian Zhang, Weixia Cai, Huashan Chen, Zhenyu Qi, Hong Chen, Feng Liu, Sen He.
A Learning-Based POMDP Approach for Adaptive Cyber Defense Against Multi-Stage Attacks.
The 26th IEEE International Conference on High Performance Computing and Communications, 2024.
Preprints
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Haotang Li, Zhenyu Qi, Sheng-Hao Wang, Kebin Peng, Zhengkun Wang, Qing Guo, Sen He, Huanrui Yang.
PaceVGGT: Pre-Alternating-Attention Token Pruning for Visual Geometry Transformers.
arXiv:2605.08371, 2026. -
Haotang Li, Yunchao Ren, Zhenyu Qi, Sen He, Kebin Peng, Sheng Tan, Baichen Liu, Jiawei Zhao, Zhengkun Wang.
UWB-Fat: Non-Intrusive Body Fat Measurement Using Commodity Ultra-Wideband Radar.
arXiv:2605.08403, 2026. -
Zhenyu Qi, Qian Zhang, Haotang Li, Sen He, Jianjun Wang.
Isolating Recurring Execution-Dependent Abnormal Patterns on NISQ Quantum Devices.
arXiv:2604.17519, 2026. -
Kebin Peng, Haotang Li, Zhenyu Qi, Huashan Chen, Zi Wang, Wei Zhang, Sen He, Huanrui Yang, Qing Guo.
PhysDepth: Plug-and-Play Physical Refinement for Monocular Depth Estimation in Challenging Environments.
arXiv:2412.04666, 2026. -
Huashan Chen*, Zhenyu Qi*, Haotang Li, Hong Chen, Jinfu Chen, Kebin Peng, In Kee Kim, Kyu Hyung Lee, Sen He, et al.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths.
arXiv:2510.01379, 2025. -
Yifan Xu, Jinfu Chen, Zhenyu Qi, Huashan Chen, Junyi Wang, Pengfei Hu, Feng Liu, Sen He.
An Empirical Study on Virtual Reality Software Security Weaknesses.
arXiv:2507.17324, 2025. -
Haotang Li, Zhenyu Qi, Hao Qin, Huanrui Yang, Kebin Peng, Qing Guo, Sen He.
MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation.
arXiv:2512.23997, 2025. -
Md Hassan, Suman Ghimire, Md Mamun, Haotang Li, Zhenyu Qi, Tomas Cerny.
A Systematic Literature Review: Advancing Microservice Deployment Using Artificial Intelligence Techniques.
SSRN 6170085, 2025.
Presentations
- A Study of Code Clone on Open Source VR Software
International Conference on Automated Software Engineering (ASE 2024)
Sacramento, CA.
Honors and Awards
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Research and Project (ReaP) Grant
Graduate and Professional Student Council, University of Arizona
2026 -
Herbold Fellowship
The Herbold Foundation
2024 -
Academic Distinction
College of Arts and Sciences, University of Wisconsin-Eau Claire
2021 -
Second Prize
The 9th Lanqiao Cup Jiangsu Provincial Software Competition (C/C++)
2019