Mingjie Xing

Orcid: 0009-0009-5459-5779

According to our database1, Mingjie Xing authored at least 29 papers between 2012 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Case for Agentic Tuning: From Documentation to Action in PostgreSQL.
CoRR, May, 2026

ECCO: Evidence-Driven Causal Reasoning for Compiler Optimization.
CoRR, February, 2026

2025
VecIntrinBench: Benchmarking Cross-Architecture Intrinsic Code Migration for RISC-V Vector.
CoRR, November, 2025

A Hybrid, Knowledge-Guided Evolutionary Framework for Personalized Compiler Auto-Tuning.
CoRR, October, 2025

Synergy-Guided Compiler Auto-Tuning of Nested LLVM Pass Pipelines.
CoRR, October, 2025

GRACE: Globally-Seeded Representation-Aware Cluster-Specific Evolution for Compiler Auto-Tuning.
CoRR, October, 2025

Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction.
CoRR, October, 2025

AwareCompiler: Agentic Context-Aware Compiler Optimization via a Synergistic Knowledge-Data Driven Framework.
CoRR, October, 2025

IntrinTrans: LLM-based Intrinsic Code Translator for RISC-V Vector.
CoRR, October, 2025

OS-R1: Agentic Operating System Kernel Tuning with Reinforcement Learning.
CoRR, August, 2025

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning.
CoRR, June, 2025

BYOS: Knowledge-driven Large Language Models Bring Your Own Operating System More Excellent.
CoRR, March, 2025

KGCompiler: Deep Learning Compilation Optimization for Knowledge Graph Complex Logical Query Answering.
CoRR, March, 2025

Preface to the Special Issue on RISC-V System Software and Hardware/Software Co-design Technology.
Int. J. Softw. Informatics, 2025

Optimization Method for High-performance Libraries Targeting RISC-V Vector Extension.
Int. J. Softw. Informatics, 2025

COMPASS: An Agent for MLIR Compilation Pass Pipeline Generation.
Proceedings of the Theoretical Aspects of Software Engineering, 2025

Navigating the SIMD Optimization Maze: A Reinforcement Learning Approach to Library and Compiler Co-Optimization.
Proceedings of the 37th International Conference on Software Engineering and Knowledge Engineering, 2025

MLProf: A Multi-Level Runtime Performance Profiling Framework for MLIR Operations.
Proceedings of the 37th International Conference on Software Engineering and Knowledge Engineering, 2025

HybridSIMD: A Super C++ SIMD Library with Integrated Auto-tuning Capabilities.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Exploring the Feasibility of End-to-End Large Language Model as a Compiler.
Proceedings of the International Joint Conference on Neural Networks, 2025

Breaking the Fusion Barrier: An Online Algorithm for Fused Normalization and Linear Layers.
Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

A Method for Co-Design of Compiler and Large-Scale HPC System Architecture.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Towards Efficient Compiler Auto-tuning: Leveraging Synergistic Search Spaces.
Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025

HDCC: A Hierarchical Dataflow-Oriented CGRA Compiler for Complex Applications.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
HETOCompiler: An MLIR-based crypTOgraphic Compilation Framework for HEterogeneous Devices.
CoRR, 2024

Time-Series based phase-ordering selection for code-size reduction.
Proceedings of the 36th International Conference on Software Engineering and Knowledge Engineering, 2024

Using Context and Hierarchy Features to Enhance Code Completion in Code Modification Scenarios.
Proceedings of the 36th International Conference on Software Engineering and Knowledge Engineering, 2024

2023
Predicting physiological responses of dairy cows using comprehensive variables.
Comput. Electron. Agric., April, 2023

2012
A software memory partition approach for eliminating bank-level interference in multicore systems.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2012


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