Zenglin Shi

Research And Development Scientist at A*STAR - Agency for Science, Technology and Research

Singapore, Singapore
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Summary

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Senior
🎓
Top School
Zenglin Shi is a research and development scientist at A*STAR I2R with 11 years of experience in machine learning, deep learning, and computer vision, anchored by a Ph.D. in Artificial Intelligence from the University of Amsterdam. His work spans academia and industry, including research stints at ADSC Singapore and the University of Bern, and a PhD under Prof. Cees Snoek and Dr. Pascal Mettes focused on visual understanding. Zenglin now focuses on reliable continual learning for visual tasks and medical image analysis, bridging rigorous research with applied R&D. He combines strong theoretical grounding with hands-on experimentation and has a track record of transferring academic insights into practical systems in Singapore’s research ecosystem. An understated strength is his cross-cultural research experience, having trained and collaborated across China, the Netherlands, Switzerland, and Singapore.
code11 years of coding experience
job1 year of employment as a software developer
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Zhengzhou University
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Amsterdam
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Github Skills (9)

denoising10
upsampling9
triangular6
image-processing5
deep-learning5
perfect4
ruler4
jekyll-theme2
jekyll2

Programming languages (3)

C++CSSPython

Github contributions (5)

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The codes for "On Measuring and Controlling the Spectral Bias of the Deep Image Prior", accepted by IJCV
Contributions:108 commits, 106 pushes, 1 branch in 12 days
Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"
Contributions:31 commits, 30 pushes, 1 branch in 6 months
image-processingfiltering-algorithmdeep-learningguided-image-filteringupsampling
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