Yijun Li is a senior research scientist with nine years of experience specializing in computational models for realistic image and video synthesis, currently advancing generative research at Adobe. His work spans a steady progression from research internships at NVIDIA and Google to senior roles at Adobe, contributing to publications at top venues (CVPR, ECCV, NeurIPS, WACV) on topics like style transfer, photorealistic stylization, and controllable image extrapolation. Trained in control and automation (Zhejiang Univ., Shanghai Jiao Tong) with a doctoral degree in EECS from UC Merced, he blends rigorous academic foundations with product-facing research. Known for turning visual creativity into practical tools, he focuses on user experience and collaboration transformations rather than purely theoretical gains. Outside papers, his personal homepage and GitHub reflect a thoughtful practitioner who values craft and the aesthetics of computation.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Control Science and Engineering, Bachelor of Science - BS Control Science and Engineering at Zhejiang University
Doctor's Degree EECS, Doctor's Degree EECS at University of California, Merced
Master of Science - MS Automation, Master of Science - MS Automation at Shanghai Jiao Tong University
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