Publications
Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu
Multi-Task Interactive Robot Fleet Learning with Visual World Models
Conference on Robot Learning (CoRL), 2024
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[Website]
[BibTeX]
@inproceedings{liumulti, title={Multi-Task Interactive Robot Fleet Learning with Visual World Models}, author={Liu, Huihan and Zhang, Yu and Betala, Vaarij and Zhang, Evan and Liu, James and Ding, Crystal and Zhu, Yuke}, booktitle={8th Annual Conference on Robot Learning} }
Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
Robot Learning on the Job: Human-in-the-Loop Manipulation and Learning During Deployment (Extended Version)
The International Journal of Robotics Research (IJRR), 2024
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@inproceedings{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}, booktitle = {Robotics: Science and Systems (RSS)}, year = {2023} }
Tian Gao,
Soroush Nasiriany,
Huihan Liu,
Quantao Yang,
Yuke Zhu
PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning
IEEE Robotics and Automation Letters (RA-L), 2024
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@misc{gao2024prime, title={PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning}, author={Tian Gao and Soroush Nasiriany and Huihan Liu and Quantao Yang and Yuke Zhu}, year={2024}, eprint={2403.00929}, archivePrefix={arXiv}, primaryClass={cs.RO} }
Huihan Liu,
Shivin Dass,
Roberto Martín-Martín,
Yuke Zhu
Model-Based Runtime Monitoring with Interactive Imitation Learning
IEEE International Conference on Robotics and Automation (ICRA), 2024
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[Website]
[BibTeX]
@misc{liu2023modelbased, title={Model-Based Runtime Monitoring with Interactive Imitation Learning}, author={Huihan Liu and Shivin Dass and Roberto Martín-Martín and Yuke Zhu}, year={2023}, eprint={2310.17552}, archivePrefix={arXiv}, primaryClass={cs.RO} }
Huihan Liu,
Alice Chen,
Yuke Zhu,
Adith Swaminathan,
Andrey Kolobov,
Ching-An Cheng
Interactive Robot Learning from Verbal Correction
CoRL Workshop on Language and Robot Learning (LangRob), 2023
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[Website]
[BibTeX]
@misc{liu2023interactive, title={Interactive Robot Learning from Verbal Correction}, author={Huihan Liu and Alice Chen and Yuke Zhu and Adith Swaminathan and Andrey Kolobov and Ching-An Cheng}, year={2023}, eprint={2310.17555}, archivePrefix={arXiv}, primaryClass={cs.RO} }
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]
Best Paper Award Finalist
@inproceedings{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}, booktitle = {Robotics: Science and Systems (RSS)}, year = {2023} }
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
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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
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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
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[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} } }
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
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[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} }
Ioannis Konstantakopoulos, Andrew R.Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas J. Spanos
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
Applied Energy Journal, Volume 237, 1 March 2019
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[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} }