Huihan Liu

According to our database, Huihan Liu authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Performance Analysis of Cascaded RIS-Assisted Two-Way Wireless Communication System.

Huihan Liu, Pu Miao, Kang Song

IEEE Commun. Lett., July, 2025

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models.

Huihan Liu, Rutav Shah, Shuijing Liu, Jack Pittenger, Mingyo Seo, Yuchen Cui, Yonatan Bisk, Roberto Martín-Martín, Yuke Zhu

CoRR, June, 2025

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning.

Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi Fan, Yuke Zhu

CoRR, May, 2025

Robot learning on the job: Human-in-the-loop autonomy and learning during deployment.

Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu

Int. J. Robotics Res., 2025

2024

PRIME: Scaffolding Manipulation Tasks With Behavior Primitives for Data-Efficient Imitation Learning.

Tian Gao, Soroush Nasiriany, Huihan Liu, Quantao Yang, Yuke Zhu

IEEE Robotics Autom. Lett., October, 2024

Model-Based Runtime Monitoring with Interactive Imitation Learning.

Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Multi-Task Interactive Robot Fleet Learning with Visual World Models.

Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Interactive Robot Learning from Verbal Correction.

Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng

CoRR, 2023

2022

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks.

Soroush Nasiriany, Huihan Liu, Yuke Zhu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning.

Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure.

Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Aummul Baneen Manasawala, Yu-Wen Lin, Costas J. Spanos

CoRR, 2019

A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks.

Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition.

Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Consensus Adversarial Domain Adaptation.

Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso.

Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos

CoRR, 2018

A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University.

Ioannis C. Konstantakopoulos, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas J. Spanos

CoRR, 2018