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)

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)

Consensus Adversarial Domain Adaptation. - Han Zou; Yuxun Zhou; Jianfei Yang; Huihan Liu; Hari Prasanna Das; Costas J. Spanos (AAAI, 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 (CVPR Workshops, 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 (ICMLA, 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)

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. - Avi Singh; Huihan Liu; Gaoyue Zhou; Albert Yu 002; Nicholas Rhinehart; Sergey Levine (ICLR, 2021)

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. - Soroush Nasiriany; Huihan Liu; Yuke Zhu (ICRA, 2022)

Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. - Huihan Liu; Soroush Nasiriany; Lance Zhang; Zhiyao Bao; Yuke Zhu (Robotics: Science and Systems, 2023)

Interactive Robot Learning from Verbal Correction. - Huihan Liu; Alice Chen; Yuke Zhu; Adith Swaminathan; Andrey Kolobov; Ching-An Cheng (CoRR, 2023)

Multi-Task Interactive Robot Fleet Learning with Visual World Models. - Huihan Liu; Yu Zhang; Vaarij Betala; Evan Zhang; James Liu; Crystal Ding; Yuke Zhu (CoRL, 2024)

Model-Based Runtime Monitoring with Interactive Imitation Learning. - Huihan Liu; Shivin Dass; Roberto Martín-Martín; Yuke Zhu (ICRA, 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., 2024)

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, 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, 2025)

Performance Analysis of Cascaded RIS-Assisted Two-Way Wireless Communication System. - Huihan Liu; Pu Miao; Kang Song (IEEE Commun. Lett., 2025)