Haiwen Cao
Researcher at Huawei Hong Kong Research Center(HKRC)
Sha Tin District, Hong Kong
Summary
👤
Senior🎓
Top SchoolHaiwen Cao is a researcher at Huawei’s Theory Lab in Hong Kong with nine years of experience bridging information theory and practical communications engineering. He holds a Ph.D. from CUHK and a strong undergraduate pedigree from Harbin Institute of Technology, and his early work focused on modern channel coding (LDPC, polar, and sparse regression codes) with tangible outcomes including publications and a patent. Recently he has pivoted toward data compression, quantization, image processing, and information retrieval, applying theoretical rigor to applied problems. Comfortable in both academic and industrial research settings, he has taught and TA’d advanced math and coding courses and contributed to collaborative projects at CUHK and HKRC. Known for pairing deep theoretical insight with hands-on implementation, he excels at turning abstract coding and graphical-model ideas into deployable algorithms.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Coding Theory, Information Theory, Graphical Models, Doctor of Philosophy - PhD, Coding Theory, Information Theory, Graphical Models at Department of Information Engineering, CUHKBachelor’s Degree, Communications Engineering, 90.16/100 (Rank: 4/115), Bachelor’s Degree, Communications Engineering, 90.16/100 (Rank: 4/115) at Harbin Institute of TechnologyDoctor of Philosophy (Ph.D.), Information and Communications Engineering, Doctor of Philosophy (Ph.D.), Information and Communications Engineering at Shanghai Jiao Tong University
Chinese, EnglishGithub contributions (5)
shhyang/nclab
Dec 2016 - Jun 2017
Contributions:34 commits, 32 pushes in 5 months
caohaiwen/SPA_for_LDPC
Feb 2018 - Feb 2021
Contributions:17 pushes, 1 branch in 3 years
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