Ren Yang
Senior Researcher at Microsoft
Beijing, China
Summary
👤
Senior🎓
Top SchoolRen Yang is a Senior Researcher and applied scientist with eight years of experience bridging academic rigor and industry impact in computer vision and AI, currently contributing to Microsoft Copilot from Beijing. He holds a Doctor of Science from ETH Zürich and a dual-strong technical background from Beihang University, blending computer vision, communications engineering, and mathematics. His career spans research-intensive roles at ETH, TRACE, SenseTime, and Microsoft, moving research prototypes toward real-world systems in autonomous driving and intelligent assistants. Known for navigating both deep theoretical problems and production constraints, he brings PhD-level insight to applied ML engineering and product-focused research. An uncommon strength is his track record of moving across academia and industry internationally, enabling rapid translation of novel algorithms into deployed features.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Information and Communication Engineering, Master of Science - MS Information and Communication Engineering at Beihang UniversityDoctor of Science Computer Vision, Doctor of Science Computer Vision at ETH Zürich
Chinese, English
Github Skills (1)
lstm8
Programming languages (1)
Github contributions (5)
ryangchn/QG-ConvLSTM
Apr 2019 - Jan 2021
The project page of the paper: Ren Yang, Xiaoyan Sun, Mai Xu and Wenjun Zeng, "Quality-Gated Convolutional LSTM for Enhancing Compressed Video", in IEEE International Conference on Multimedia and Expo (ICME), 2019.
Contributions:40 commits, 1 PR, 41 pushes in 1 year 9 months
lstm
ryangBUAA/Videos
Jul 2017 - Feb 2020
Contributions:23 commits, 22 pushes, 1 branch in 2 years 7 months
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