Ming is a second-year Ph.D student at the Chinese University of Hong Kong (CUHK). His research interests primarily focus on compilers . Previously, he worked on several projects of LLMs for classical compiler construction, and currently his research interests focus on quantum compilers (e.g., quantum compiler design, AI for quantum compilers).
📖 Educations
2025.08 - Now , The Chinese University of Hong Kong , Hong Kong, SAR.
Ph.D student in Computer Science and Engineering.
Advised by Professor Zhiding Liang .
2021.09 - 2024.06 , Institute of Computing Technology, Chinese Academy of Sciences , Beijing, China.
2017.09 - 2021.06 , Beijing University of Posts and Telecommmunications , Beijing, China.
B.S. in Computer Science and Technology.
📝 Publications
Selected
Full
Quantum Compilers
Classical Compilers
[SANER '26] A Multi-Modal Retrieval-Augmented Framework for Compiler Backend Generation with LLMs. M. Zhong , F. Lv, H. Geng, X. Sun, L. Wang, L. Qiu, H. Cui, X. FengIEEE 33rd International Conference on Software Analysis, Evolution and Reengineering, 2026. (CORE A)
[TOSEM '25] BePilot: An AI Programming Assistant for Compiler Backend Development. M. Zhong , X. Sun, F. Lv, L. Wang, H. Geng, L. Qiu, H. Cui, X. FengACM Transactions on Software Engineering and Methodology, 2025. (CORE A*)
[CGO '25] VEGA: Automatically Generating Compiler Backends Using a Pre-Trained Transformer Model. M. Zhong , F. Lv, L. Wang, L. Qiu, Y. Wang, Y. Liu, H. Cui, X. Feng, J. XueACM/IEEE 23rd International Symposium on Code Generation and Optimization, 2025. (CORE A)
[NeurIPS '24] ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency. M. Zhong , F. Lv, L. Wang, H. Geng, L. Qiu, H. Cui, X. Feng38th Annual Conference on Neural Information Processing Systems, 2024. (CORE A*)
[Pre-print] QuTuner: Feature-and Learning-Guided Optimization Pass Tuning for Quantum Compilers. M. Zhong , X. Ren, J. Cheng, S. Li, Z. Liang
[Pre-print] Lazy-Move Compilation for Neutral-Atom Quantum Computers via a Buffer-Relay Fabric. C. Huang, J. Wang, Z. Zhang, M. Zhong , Z. Fu, Z. Liang, Y. Sun, D. Liu
[Pre-print] Beyond Pass-by-Pass Optimization: Intent-Driven IR Optimization with Large Language Models. L. Qiu, Z. Yang, F. Lv, M. Zhong , H. Cui, X. Feng
[ICCAD '26] MERA: Mid-Circuit-Measurement Error-Aware Compilation Framework for Quantum Circuits. M. Zhong , Z. Zhang, X. Ren, C. Zhu, S. Niu, Z. LiangIEEE/ACM 45th International Conference on Computer-Aided Design, 2026. (CORE A)
[ICCD '26] LLM-Empowered Cross-SDK Tuning of Quantum Compiler Optimization Passes. M. Zhong , Z. LiangIEEE 44th International Conference on Computer Design, 2026. (CORE C)
[ICS-W '26] Towards Fully Automated Compiler Backend Generation with Multi-Agent Systems: How Far Are We? M. Zhong , L. Qiu, L. Wang, H. Geng, X. Sun, F. LvACM 40th International Conference on Supercomputing - Workshops, 2026.
[SANER '26] A Multi-Modal Retrieval-Augmented Framework for Compiler Backend Generation with LLMs. M. Zhong , F. Lv, H. Geng, X. Sun, L. Wang, L. Qiu, H. Cui, X. FengIEEE 33rd International Conference on Software Analysis, Evolution and Reengineering, 2026. (CORE A)
[TOSEM '25] BePilot: An AI Programming Assistant for Compiler Backend Development. M. Zhong , X. Sun, F. Lv, L. Wang, H. Geng, L. Qiu, H. Cui, X. FengACM Transactions on Software Engineering and Methodology, 2025. (CORE A*)
[CGO '25] VEGA: Automatically Generating Compiler Backends Using a Pre-Trained Transformer Model. M. Zhong , F. Lv, L. Wang, L. Qiu, Y. Wang, Y. Liu, H. Cui, X. Feng, J. XueACM/IEEE 23rd International Symposium on Code Generation and Optimization, 2025. (CORE A)
[SANER '25] Boosting Large Language Models for System Software Retargeting: A Preliminary Study. M. Zhong , F. Lv, L. Wang, L. Qiu, H. Geng, H. Cui, X. FengIEEE 32nd International Conference on Software Analysis, Evolution and Reengineering, 2025. (CORE A)
[NeurIPS '25] IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer. Z. Yang, L. Qiu, F. Lv, M. Zhong , Z. Chai, H. Zhou, H. Cui, X. Feng 39th Annual Conference on Neural Information Processing Systems, 2025. (CORE A*)
[ICONIP '25] RELOPT: A Retriever-Augmented Framework for Optimizing Code with Long-range Dependencies. L. Qiu, F. Lv, M. Zhong , L. Wang, X. Feng 32nd International Conference on Neural Information Processing, 2025. (CORE B)
[APSEC '25] Towards Function-Level Correctness Assessment of System Software with LLMs: A Case Study. M. Zhong , X. Sun32nd Asia-Pacific Software Engineering Conference, 2025. (CORE C)
[ICOECAI '25] Automating Target Descriptions Processing for Efficient Compiler Backend Development. X. Sun, M. Zhong , L. Wang, F. Lv, X. He International Conference on Electrical, Control and Artificial Intelligence, 2025.
[NeurIPS '24] ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency. M. Zhong , F. Lv, L. Wang, H. Geng, L. Qiu, H. Cui, X. Feng38th Annual Conference on Neural Information Processing Systems, 2024. (CORE A*)
[ISSRE '23] OPTango: Multi-central Representation Learning against Innumerable Compiler Optimization for Binary Diffing. H. Geng, M. Zhong , P. Zhang, F. Lv, X. Feng IEEE 34rd International Symposium on Software Reliability Engineering, 2023. (CORE A)
[JCST '23] Automatic Target Description File Generation. H. Geng, F. Lv, M. Zhong , H. Cui, J. Xue, X. Feng Journal of Computer Science and Technology, 2023. (CORE B)
🎖 Awards
National Scholarship.
Distinguished Undergraduate Graduation Thesis in Beijing.
🌟 Miscellaneous
International English Language Testing System (IELTS): Overall 8.0.
💻 Working Experience
2024.09 - 2025.05 , Research Assistant, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Clarification and Reflections
Clarification . I was supposed to begin my Ph.D. studies at The University of New South Wales (UNSW) in Fall 2024. However, due to the High-Risk University List , I did not receive a student visa in time and was unable to enroll. Consequently, I continued as a research assistant at Institute of Computing Technology (ICT), until I decided to pursue my Ph.D. degree in Hong Kong.
I am deeply grateful to Professors Xiaobing Feng and Fang Lv at ICT for their support during this anxious gap period, and I sincerely regret not being able to pursue my studies at UNSW. Some Reflections . People say that a speck of dust in the era, when it falls on an individual, becomes a mountain. But I believe that a small but firm conviction can carry one a very long way, even across that mountain . So, please accept what can not be changed and strive to change what can be changed. Even these dark days will eventually become a valuable asset in one's life.
