Hanrong Ye
Research Scientist at NVIDIA
United States
Summary
👤
Senior🎓
Top SchoolHanrong Ye is a Research Scientist specializing in computer vision and machine learning with a decade of experience and an active research trajectory spanning top industry labs. Currently at NVIDIA, Hanrong focuses on multi-modal and large-scale foundation models, building on internships at Apple, Adobe, and a prior NVIDIA stint where they worked on any-to-any modality LLMs and egocentric video multi-modality models. Their PhD work at HKUST, combined with earlier studies at Peking University and Sun Yat-sen University, grounds a strong theoretical background in addition to applied research. Hanrong is comfortable bridging low-level vision tasks like panoptic and instance segmentation with high-level generative and multimodal model design, and often works at the intersection of video, audio, image, and language modalities. Colleagues describe them as someone who pairs rigorous academic training with fast iteration in industrial research settings.
10 years of coding experience
Dongguan Tungwah High SchoolComputer Applied Technology, Computer Applied Technology at Peking UniversitySchool of Physics, School of Physics at Sun Yat-sen UniversityHong Kong University of Science and Technology (HKUST)
English, Chinese, Chinese
Github Skills (84)
feature-engineering10
model-compression10
neural-architecture-search10
nas10
automated-machine-learning10
architecture9
machine-learning-algorithms9
hyperparameter-tuning9
3d-object-detection9
deep-learning9
hyper9
compression9
pytorch9
multi-task-learning9
parameter-tuning9
Programming languages (6)
Github contributions (5)
prismformore/expAT
Jun 2020 - Mar 2021
Contributions:18 commits, 13 pushes, 7 comments in 9 months
prismformore/SDSEN
May 2019 - May 2020
Contributions:16 commits, 3 pushes in 1 year
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