Zhihe Zhao
Co-Founder at ThingX Technologies Limited
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolZhihe (Kyrie) Zhao is a researcher-entrepreneur focused on efficient DNN inference and ML systems, currently co-founder and COO of ThingX while pursuing a PhD in Information Engineering at The Chinese University of Hong Kong. He holds a B.S. from University of Liverpool and an M.S. in Computer Engineering from Duke, and has nine years of experience spanning academic research, industry internships at Huawei, and early-stage startups. Zhihe’s work on systems for AI and DNN compilers has been published in top venues (SenSys, IoTDI, HotMobile, IPSN) and earned awards including SenSys Best Poster and industry fellowships from Bosch and Huawei. He contributes to the research community as a PC/reviewer for conferences like EuroSys, MLSys, and MobiCom and to practical edge/cloud innovation through Huawei ECIL experience. Notably, he co-founded a prior smart-home startup that secured $1M in VC funding, reflecting a pattern of turning research into products. Based in Hong Kong, he blends deep systems research with hands-on product and startup execution.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at University of LiverpoolDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Duke UniversityDoctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at 香港中文大学
Github Skills (32)
inference9
residual-networks8
arcore8
android-studio7
datasets7
latency6
tensorflow5
machine-learning5
acceleration5
numpy4
python4
nms4
deep-learning3
yolov53
neural-architecture-search3
Programming languages (2)
Github contributions (5)
Kyrie-Zhao/Kyrie-Zhao.github.io
Oct 2021 - Jul 2024
Contributions:194 pushes, 1 branch in 2 years 9 months
Kyrie-Zhao/awesome-real-time-AI
Aug 2022 - Jan 2023
This is a list of awesome edgeAI inference related papers.
Contributions:100 commits, 158 pushes, 1 branch in 5 months
inference
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