Xun Wang
Software Engineer at Intel Asia & Pacific R&D incorporation
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolXun Wang is a software engineer based in Shanghai with a decade of experience specializing in context-awareness for mobile and wearable devices, currently driving algorithm design and firmware integration at Intel Asia & Pacific R&D. He has deep expertise in motion and location algorithms—Activity, Pedometer, Energy Expenditure, and Gesture—paired with pattern recognition and machine learning skills that emphasize real-world optimization and low-power constraints. Xun has a strong track record of performance-focused engineering, including open-source contributions to the high-performance Hyperscan regex engine where he refactored max clique analysis to cut overhead in core compilation code. Trained at Zhejiang University with an M.S. in Information & Communication Engineering, he blends rigorous academic foundations with pragmatic firmware-level delivery.
10 years of coding experience
Master of Science (M.S.), Information & Communication Engineering, Master of Science (M.S.), Information & Communication Engineering at Zhejiang University
Chinese
Github Skills (10)
algorithm10
regular-expression10
data-structures10
algorithms10
c-language10
cprogramming-language10
performance-optimization10
data-structure10
refactor9
refactoring9
Programming languages (1)
Github contributions (5)
intel/hyperscan
Aug 2015 - Jan 2021
High-performance regular expression matching library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 62 commits, 4 PRs in 5 years 6 months
Contributions summary:Xun's contributions primarily focus on optimizing the max clique analysis within the Hyperscan regular expression matching library. They refactored code to use vectors of state IDs, reducing overhead and improving performance. The code changes involve modifications to the `castlecompile.cpp` file, indicating involvement in the core compilation process and likely touching the engine's internal data structures. Further contributions included refactoring and simplifying the max clique analysis, demonstrating a focus on code efficiency and performance improvement within the library's core functionality.
regular-expressionsnfaregexmatchingregular-expression
xiangwang1/hyperscan
Mar 2018 - Jan 2021
Contributions:2 pushes in 2 years 10 months
matchingregular-expressionregularperformancehigh-performance
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