Sheng Lin is a deep learning researcher and engineer with a decade of experience building computer vision and model-compression solutions for media and mobile platforms. At Tencent America’s Media Lab he led research and deployment work across image/video enhancement, super-resolution, compression, interpolation and 3D digital humans, and contributed to standards like JPEG AI and MPEG NNVC. His background spans industry R&D and full-stack engineering—from implementing web apps at Hikvision to researching in-vehicle vision at DiDi—coupled with a PhD in Computer Engineering. Sheng also contributes to open-source tooling, improving cross-platform UI test recording and localization in a notable alibaba/uirecorder project. Based in Shenzhen with experience in U.S. research environments, he blends rigorous academic training with production-focused engineering for performance-constrained devices.
10 years of coding experience
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at Syracuse University
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Northeastern University
Bachelor of Science - BS Information Engineering, Bachelor of Science - BS Information Engineering at Zhejiang University
Contributions:126 commits, 102 PRs, 67 pushes in 1 year 10 months
Contributions summary:Sheng contributed to the UI Recorder project by implementing new features and making improvements to the existing codebase. They added functionality for window size maximization, removed Chrome options from the template, and updated the jwebdriver version. Furthermore, they made changes to support specific symbols in Chinese and refactored the code to support relative image paths in the generated reports.
Contributions:11 commits, 2 PRs, 10 pushes in 2 years 8 months
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