Jinghuan Shang

Research Scientist at RAI Institute

Town of Brookhaven, New York, United States
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Summary

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Senior
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Top School
Jinghuan Shang is a research scientist with 11 years of experience specializing in representation learning, reinforcement learning, and robot learning, currently working at RAI Institute. He completed a PhD in Computer Science at Stony Brook University where his graduate research focused on visual representation learning for robotics and he has internships at Motional and Tsinghua that bridged autonomy and perception. Jinghuan’s work spans from trajectory prediction to embodied learning, combining rigorous academic research with applied lab experience in robot learning and computer vision. Based in Brookhaven, NY, he brings a proven ability to translate complex RL and representation ideas into practical robotic systems and has a track record of moving seamlessly between research and applied engineering.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at 上海交通大学
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stony Brook University
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Stackoverflow

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Github Skills (43)

reinforcement-learning9
large-language-models9
natural-language-processing9
theia9
fine-tuning9
ai9
nlp9
lora9
quantization9
gpt8
data-augmentation8
agent8
rlhf8
action-recognition8
llama8

Programming languages (3)

JavaVuePython

Github contributions (5)

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elicassion/3DTRL

May 2022 - Nov 2022

Code for NeurIPS 2022 paper "Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space"
Contributions:13 commits, 16 pushes, 1 branch in 6 months
3d3d-modelsaction-recognitiondeep-learningimage-classification
elicassion/SJTU_OnlineJudge

May 2015 - Apr 2016

Contributions:2 commits, 1 push, 1 branch in 10 months
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