Shuijing Liu
Postdoctoral Researcher at University of Illinois Urbana-Champaign
Urbana, Illinois, United States
Summary
👤
Senior🎓
Top SchoolShuijing Liu is a postdoctoral researcher and PhD-trained robotics and machine learning specialist with nine years of experience bridging learning-based robotics, human-robot interaction, and applied ML. Trained at UIUC under Prof. Katherine Driggs-Campbell and now at UT Austin, Shuijing has combined academic research with industry internships at Bosch BCAI and Amazon, focusing on AI planning for autonomous driving and robotic manipulation. Comfortable across simulation-to-hardware workflows, they emphasize learning-driven approaches to make robots more predictable and collaborative with humans. Seeking full-time roles in machine learning and robotics, Shuijing brings both deep technical expertise and hands-on experience deploying research in industrial settings.
10 years of coding experience
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at University of Illinois Urbana-Champaign
English, Chinese
Github Skills (20)
deep-reinforcement-learning10
artificial-intelligence9
reinforcement-learning8
scenarios8
generalization7
person-detection7
graph7
deep-learning7
ros7
simulator6
autonomous-driving5
machine-learning5
robot4
computer-vision4
transformer4
Programming languages (4)
Github contributions (5)
Shuijing725/CrowdNav_DSRNN
Mar 2021 - Jan 2023
[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
Contributions:29 commits, 1 PR, 30 pushes in 1 year 9 months
deep-reinforcement-learningcrowd-navigationhuman-robot-interactioncollision-avoidance
Shuijing725/Shuijing725.github.io
Sep 2019 - Apr 2026
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:128 pushes, 1 branch in 6 years 7 months
templategithub-pages-templatemmistakesmistakesjekyll
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