Ming Zhong

Orcid: 0009-0002-7814-7523

Affiliations:
  • Chinese University of Hong Kong (CUHK), Hong Kong
  • Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Processors, Beijing, China
  • University of Chinese Academy of Sciences, Beijing, China


According to our database1, Ming Zhong authored at least 9 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
BePilot: An AI Programming Assistant for Compiler Backend Development.
ACM Trans. Softw. Eng. Methodol., June, 2026

Beyond Pass-by-Pass Optimization: Intent-Driven IR Optimization with Large Language Models.
CoRR, February, 2026

2025
Boosting Large Language Models for System Software Retargeting: A Preliminary Study.
Proceedings of the IEEE International Conference on Software Analysis, 2025

IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ReLOpt: A Retriever-Augmented Framework for Optimizing Code with Long-Range Dependencies.
Proceedings of the Neural Information Processing - 32nd International Conference, 2025

VEGA: Automatically Generating Compiler Backends using a Pre-trained Transformer Model.
Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025

2024
ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Automatic Target Description File Generation.
J. Comput. Sci. Technol., December, 2023

OPTango: Multi-central Representation Learning against Innumerable Compiler Optimization for Binary Diffing.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023


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