Publications
Huihan Liu,
Rutav Shah,
Shuijing Liu,
Jack Pittenger,
Mingyo Seo,
Yuchen Cui,
Yonatan Bisk,
Roberto Martín-Martín,
Yuke Zhu
Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Conference on Robot Learning (CoRL), 2025
[PDF]
[Website]
[BibTeX]
@misc{liu2025casperinferringdiverseintents,
title={Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models},
author={Huihan Liu and Rutav Shah and Shuijing Liu and Jack Pittenger and Mingyo Seo and Yuchen Cui and Yonatan Bisk and Roberto Martín-Martín and Yuke Zhu},
year={2025},
eprint={2506.14727},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2506.14727},
}
Yu Zhang*,
Yuqi Xie*,
Huihan Liu†,
Rutav Shah†,
Michael Wan,
Linxi “Jim” Fan,
Yuke Zhu
SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
Technical report arXiv:2505.22626, 2025
[PDF]
[Website]
[BibTeX]
*, †: equal contribution
@misc{zhang2025scizorselfsupervisedapproachdata,
title={SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning},
author={Yu Zhang and Yuqi Xie and Huihan Liu and Rutav Shah and Michael Wan and Linxi Fan and Yuke Zhu},
year={2025},
eprint={2505.22626},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2505.22626},
}
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
[PDF]
[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
[PDF]
[Website]
[BibTeX]
@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
[PDF]
[Website]
[BibTeX]
@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
[PDF]
[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
[PDF]
[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
[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}
}
}
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}
}
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
[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}
}