Zhiding Yu
Principal Research Scientist & Research Lead at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolZhiding Yu is a Principal Research Scientist and Research Lead at NVIDIA with nine years of research experience building multimodal foundation models, data engines, and general intelligence systems. He holds a PhD in Electrical & Computer Engineering from Carnegie Mellon and progressed through research roles at NVIDIA from Research Scientist to Principal, reflecting deep expertise in large-scale AI research and productization. His early work on semantic edge detection and facial expression recognition was published at top venues and partly integrated into production APIs, demonstrating a track record of turning novel research into practical systems. Based in California, he blends academic rigor with engineering leadership to advance general autonomy across virtual and embodied domains, and he is known for bridging foundational model research with data and systems engineering.
9 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Information Engineering (Talented Student Program), Bachelor's Degree Information Engineering (Talented Student Program) at South China University of TechnologyDoctor of Philosophy (Ph.D.) Electrical & Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical & Computer Engineering at Carnegie Mellon UniversityHong Kong University of Science and Technology (HKUST)
Chinese, English, Chinese
Github Skills (41)
language-model10
occupancy-grid-map10
semantic-segmentation10
3d-object-detection10
large-language-models10
corruption10
huggingface10
self-attention10
coco10
segformer10
visual-recognition10
edge-detection10
backbone10
eagle10
computer-vision9
Programming languages (4)
Github contributions (5)
Chrisding/sbd-preprocess
Oct 2017 - Sep 2018
SBD Dataset proprocessing code for CASENet
Contributions:6 commits, 5 pushes, 1 branch in 10 months
Chrisding/seal
Sep 2018 - Nov 2018
Code for Simultaneous Edge Alignment and Learning (SEAL)
Contributions:85 commits, 65 pushes, 1 branch in 2 months
computer-visiondeep-learningedge-detectionboundary-detectionnoisy-label-learning
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