Jiaheng Hu 胡佳恒
Welcome! My name is Jiaheng Hu (Jeff). I'm a 1st year Computer Science PhD student at UT-Austin researching at the intersection of Machine Learning and Robotics. I'm fortunate to be advised by Professor Peter Stone and Professor Roberto Martín-Martín. I have a research M.S. degree from the Robotics Institute of Carnegie Mellon Univeristy (thesis), supervised by Professor Howie Choset. I graduated summa cum laude from Columbia University with a B.S. in Computer Science, where I worked with Professor Peter Allen and Professor Tony Dear.
Email  / 
LinkedIn  / 
Github
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Causal Policy Gradient for Whole-Body Mobile Manipulation
Jiaheng Hu,
Peter Stone,
Roberto Martín-Martín
RSS, 2023
website
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GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation
Jiaheng Hu,
Julian Whitman,
Howie Choset
CoRL, 2022
code /
poster
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Modular Robot Design Optimization with Generative Adversarial Networks
Jiaheng Hu,
Julian Whitman,
Matthew Travers,
Howie Choset
ICRA, 2022
poster
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Large-scale Heterogeneous Multi-Robot Coverage via Domain Decomposition and Generative Allocation
Jiaheng Hu,
Howard Coffin,
Julian Whitman,
Matthew Travers,
Howie Choset
WAFR, 2022
talk
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Communication Learning via Backpropagation in Discrete Channels with Unknown Noise
Benjamin Freed,
Guillaume Sartoretti,
Jiaheng Hu,
Howie Choset
AAAI, 2020
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Teleoperated Robot Grasping in Virtual Reality Spaces
Jiaheng Hu,
David Watkins,
Peter Allen
NEMS, 2019
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- I'm a big fan of contract bridge, and have been playing in various tournaments over the years. My most noticeable achievment in bridge is probably the 2nd place in the 2022 NABC 0-10k pairs, and the champion of 2021 GNT flight C.
- I like sports and music. I play soccer (Hala Madrid!), piano and guitar in my leisure.
- I enjoy playing video games but haven't had much time to play recently. The two games I enjoy the most are Counter-Strike (CSGO MM rank: LE) and Pokemon (played main series Gen 1 - Gen 9, personal favorite gotta be Leaf Green).
- I used to play the Chinese card game SGS quite seriously and had a win rate in GuoZhan that is on par with professional streamers, but eventually concluded that this game is too luck-dependant.
- Co-organizing workshop on "Causality for Robotics: Answering the Question of Why", to appear at IROS 2023.
- Reviewer for AAAI (2022), ICRA (2023), IROS (2023).
- Grad Level Course TA: Robot Learning (UT-Austin), Artificial Intelligence (Columbia), Computational Robotics (Columbia).
The template of this website is taken from Jon Barron with gratitude: source code.
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