Rui Zhu
Research Scientist at ByteDance
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolRui Zhu is a research scientist and final-year PhD candidate at UC San Diego specializing in 3D computer vision and graphics, with a focus on indoor scene inverse rendering using geometric and physics-based cues like materials and lighting. With a decade of research experience spanning top labs and industry internships (ByteDance/PicoXR, Qualcomm, NVIDIA, Microsoft, Adobe, Baidu), he blends foundational work—single-view scale/depth estimation, semantic SLAM, object reconstruction—with product-focused XR relighting and relightable reconstruction. A Powell and Jacobs School fellow and Qualcomm Innovation Fellowship awardee, Rui has repeatedly translated academic insights into practical solutions for efficient multi-view and single-view reconstruction. Based in San Jose, he is notable for combining rigorous geometry-first thinking with hands-on systems work that bridges research prototypes and deployed XR features.
10 years of coding experience
3 years of employment as a software developer
Huaiyin Middle SchoolUniversity of California, San DiegoBachelor of Engineering - BE Information Engineering Electrical Engineering, Bachelor of Engineering - BE Information Engineering Electrical Engineering at Southeast UniversityMaster of Science - MS Computer Vision Robotics, Master of Science - MS Computer Vision Robotics at Carnegie Mellon University
Github Skills (97)
inverse10
python10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
ml10
numpy10
neural-network10
data-science10
tensorflow10
machine-learning10
deep-neural-networks10
rendering9
tensor9
Programming languages (4)
Github contributions (5)
Jerrypiglet/ScaleNet
Aug 2020 - Feb 2021
Contributions:18 commits, 20 pushes, 3 branches in 6 months
Jerrypiglet/indoorInverse
Feb 2022 - Oct 2022
Rui Zhu's implementation of CVPR2020 work Inverse Rendering for Complex Indoor Scene by Li et.al
Contributions:19 commits, 14 pushes, 4 branches in 8 months
pytorchdeep-learningcomputer-visionrenderinginverse-rendering
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