Yu Zeng
Research Scientist at Toyota Research Institute
California, United States
Summary
👤
Senior🎓
Top SchoolYu Zeng is a research scientist specializing in visual imagination—how machines predict and generate visual content—with 11 years of experience bridging academic rigor and industry impact. Currently at Toyota Research Institute after research roles at NVIDIA and Adobe, Yu focuses on advancing generative and predictive vision models for real-world applications. His PhD training at Johns Hopkins and engineering background from Dalian University of Technology underpin a strong foundation in both theory and applied systems. Yu’s trajectory includes multiple high-impact internships and a transition into production-focused research at leading labs, reflecting an ability to move ideas from prototype to deployment. Colleagues describe him as persistent and resilient—an ethos echoed in his GitHub motto about overcoming setbacks—which helps him push through challenging model and data problems. He combines deep curiosity about visual cognition with pragmatic engineering to deliver research that informs next-generation perception and synthesis systems.
11 years of coding experience
1 year of employment as a software developer
Johns Hopkins UniversityMaster of Science - MS information and communication engineerin, Master of Science - MS information and communication engineerin at Dalian University of Technology
Github Skills (9)
cardview5
api4
rxjava4
cookie4
kotlin3
android3
spinner3
android-api3
android-library2
Programming languages (1)
Github contributions (5)
zilianliuxue/AndroidStudy
Sep 2016 - Oct 2016
Contributions:42 commits, 37 pushes, 1 branch in 1 month
zilianliuxue/MoocGuide
Feb 2016 - Feb 2016
Contributions:7 commits, 6 pushes, 1 branch in 1 day
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