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.
8 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 (8)
yang9
ieee9
lstm8
sun8
computer-vision7
pytorch6
deep-learning6
multimedia5
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
yangenhancingmultimediavideocomputer-vision
ryangBUAA/Videos
Jul 2017 - Feb 2020
Contributions:23 commits, 22 pushes, 1 branch in 2 years 7 months
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