Zhen Dong

Assistant Professor at NVIDIA

Menlo Park, California, United States
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Summary

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Senior
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Zhen Dong is an assistant professor and research scientist with eight years of experience at the intersection of large language model post-training and efficient AI, currently holding roles at UC Santa Barbara and NVIDIA. Trained at Peking University (BS EECS) and Berkeley (PhD, BAIR), his work spans AI agents, efficient MLLMs, video generation, and embodied AI, with a track record from founding a startup (Nexusflow) to research positions at ByteDance, Meta, and NVIDIA. He blends deep academic rigor with product-minded research—moving ideas from PhD-level innovation at BAIR to real-world impact via industry collaborations and a startup that became part of NVIDIA. Based in Menlo Park, he publishes actively (see Google Scholar) and emphasizes efficiency and embodied modalities, suggesting a practical focus on making large multimodal models usable at scale.
code8 years of coding experience
job5 years of employment as a software developer
bookPhD Computer Science, PhD Computer Science at University of California, Berkeley
bookBachelor of Science - BS EECS, Bachelor of Science - BS EECS at Peking University
languagesChinese, English
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Github Skills (21)

model-compression10
quantization10
hessian10
8-bit10
tvm9
pytorch9
hardware9
compression9
deep-learning8
machine-learning8
edge-computing6
diffusion-models5
large-language-models3
classification1
text-classification1

Programming languages (1)

Python

Github contributions (5)

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Zhen-Dong/HAWQ

Nov 2020 - Sep 2022

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Contributions:29 commits, 2 PRs, 30 pushes in 1 year 10 months
pytorchquantized-neural-networks8-bitdistillationmixed-precision
Zhen-Dong/CoDeNet

Mar 2021 - Mar 2021

Contributions:18 commits, 20 pushes, 1 branch in 15 days
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Zhen Dong - Assistant Professor at NVIDIA