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 (41)
pytorch10
image-segmentation10
localization10
3d10
rgb10
computer-vision10
point-cloud10
3d-reconstruction10
image-processing9
mesh9
semi-supervised-learning9
semantic-segmentation9
pytorch-lightning9
natural-language-processing9
paper9
Programming languages (4)
Github contributions (5)
daveredrum/3d-captioning
Apr 2018 - Jan 2019
Contributions:285 commits, 17 pushes, 3 branches in 8 months
daveredrum/Pointnet2.ScanNet
Jul 2019 - Dec 2021
PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration
Contributions:86 commits, 85 pushes, 3 branches in 2 years 5 months
cudapytorchsemantic-segmentation
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