Zhenyu Chen
AI Research Scientist at 华为
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolZhenyu Chen is an AI research scientist at Huawei Noah’s Ark Lab with nine years of experience bridging visual computing research and applied machine learning. He completed a PhD in Visual Computing at the Technical University of Munich after research stints as a visiting scholar at Simon Fraser University and earlier roles at TUM, demonstrating a strong academic-to-industry trajectory. His work blends deep technical rigor from doctoral research with practical collaboration in large research labs, now focused on advancing AI at scale in Shenzhen. Less obvious: Zhenyu’s career builds on international research mobility and early developer engagement (Microsoft Student Partner), indicating both academic depth and a knack for community-facing technical initiatives.
9 years of coding experience
Doctor of Philosophy - PhD Visual Computing, Doctor of Philosophy - PhD Visual Computing at Technical University of MunichMaster of Science - MS Informatik, Master of Science - MS Informatik at Ludwig-Maximilians-Universität MünchenBachelor of Engineering - BE Computer Science and Technology, Bachelor of Engineering - BE Computer Science and Technology at University of Electronic Science and Technology of China
Chinese, English, German
Github Skills (42)
rgb10
computer-vision10
point-cloud10
image-processing9
pytorch9
mesh9
semantic-segmentation9
pointnet9
paper9
natural-language-processing9
3d9
image-segmentation9
localization9
deep-learning9
3d-reconstruction9
Programming languages (4)
Github contributions (5)
daveredrum/ScanRefer
Jan 2020 - Jan 2023
[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
Contributions:97 commits, 4 PRs, 92 pushes in 3 years
pytorchrgb-ddeep-learningeccvobject-localization
daveredrum/3d-captioning
Apr 2018 - Jan 2019
Contributions:285 commits, 17 pushes, 3 branches in 8 months
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