Huihan Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Function Approximation

Energy Conservation

Human Activity Recognition

Top Venues

Robotics: Science and Systems

Publications

Tian Gao, Soroush Nasiriany, Huihan Liu, Quantao Yang, Yuke Zhu
PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning. CoRR (2024)
Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
Model-Based Runtime Monitoring with Interactive Imitation Learning. ICRA (2024)
Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng
Interactive Robot Learning from Verbal Correction. CoRR (2023)
Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. Robotics: Science and Systems (2023)
Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
Model-Based Runtime Monitoring with Interactive Imitation Learning. CoRR (2023)
Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. CoRR (2022)
Soroush Nasiriany, Huihan Liu, Yuke Zhu
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. ICRA (2022)
Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. ICLR (2021)
Soroush Nasiriany, Huihan Liu, Yuke Zhu
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. CoRR (2021)
Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. CoRR (2020)
Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos
Consensus Adversarial Domain Adaptation. AAAI (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. CVPR Workshops (2019)
Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos
A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks. ICMLA (2019)
Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Aummul Baneen Manasawala, Yu-Wen Lin, Costas J. Spanos
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure. CoRR (2019)
Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos
A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks. CoRR (2019)
Ioannis C. 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. CoRR (2018)
Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos
Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso. CoRR (2018)