I am a second-year Ph.D. student in Computer Science at the University of Texas at Austin. I am fortunate to be advised by Professor Yuke Zhu, and I am a member of the Robot Perception and Learning Lab. I am broadly interested in Robotics, Reinforcement Learning and Machine Learning. My current research focuses on the intersection of Reinforcement Learning and Imitation Learning, and Human-in-the-Loop robot learning.
I previously did my undergraduate in Computer Science at the University of California, Berkeley, and I was affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab. I had the pleasure to work with Professor Sergey Levine and Professor Costas Spanos.
Recent Publications
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Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
Robot Learning on the Job: Human-in-the-Loop Manipulation and Learning During Deployment
Robotics: Science and Systems (RSS), 2023
[PDF] [Website] [BibTeX]
@misc{liu2022robot, title={Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment}, author={Huihan Liu and Soroush Nasiriany and Lance Zhang and Zhiyao Bao and Yuke Zhu}, year={2022}, eprint={2211.08416}, archivePrefix={arXiv}, primaryClass={cs.RO} } }
Soroush Nasiriany, Huihan Liu, Yuke Zhu
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
IEEE International Conference on Robotics and Automation (ICRA), 2022
[PDF] [Website] [BibTeX]
Outstanding Learning Paper
@misc{nasiriany2021augmenting, title={Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks}, author={Soroush Nasiriany and Huihan Liu and Yuke Zhu}, year={2021}, eprint={2110.03655}, archivePrefix={arXiv}, primaryClass={cs.LG} }
Avi Singh*, Huihan Liu*, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2021
[PDF] [Website] [BibTeX]
Oral Presentation (top 1.8% of submissions)
@misc{singh2020parrot, title={Parrot: Data-Driven Behavioral Priors for Reinforcement Learning}, author={Avi Singh and Huihan Liu and Gaoyue Zhou and Albert Yu and Nicholas Rhinehart and Sergey Levine}, year={2020}, eprint={2011.10024}, archivePrefix={arXiv}, primaryClass={cs.LG} }
Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos
Consensus Adversarial Domain Adaptation
AAAI Conference on Artificial Intelligence, 2019
[PDF] [BibTeX]
@inproceedings{Zou2019ConsensusAD, title={Consensus Adversarial Domain Adaptation}, author={Han Zou and Yuxun Zhou and Jianfei Yang and Huihan Liu and H. Das and C. Spanos}, booktitle={AAAI}, year={2019} } }
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Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos
WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition
Multimodal Learning and Applications (MULA) Workshop, Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[PDF] [BibTeX]
@InProceedings{Zou_2019_CVPR_Workshops, author = {Zou, Han and Yang, Jianfei and Prasanna Das, Hari and Liu, Huihan and Zhou, Yuxun and Spanos, Costas J.}, title = {WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2019} }
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Ioannis Konstantakopoulos, Andrew R.Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas Spanos
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
Applied Energy Journal, Volume 237, 1 March 2019
[PDF] [BibTeX]
@misc{konstantakopoulos2018deep, title={A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University}, author={Ioannis C. Konstantakopoulos and Andrew R. Barkan and Shiying He and Tanya Veeravalli and Huihan Liu and Costas Spanos}, year={2018}, eprint={1809.05142}, archivePrefix={arXiv}, primaryClass={cs.LG} }