Huihan Liu - RankMe

25 papers A* 4C 1Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning. CoRR Huihan Liu, Changyeon Kim, Bo Liu, Minghuan Liu, Yuke Zhu
2025	J	`jnl`	Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models. CoRR Huihan Liu, Rutav Shah, Shuijing Liu, Jack Pittenger, Mingyo Seo, Yuchen Cui, Yonatan Bisk, Roberto Martín-Martín, Yuke Zhu
2025	J	`jnl`	Performance Analysis of Cascaded RIS-Assisted Two-Way Wireless Communication System. IEEE Commun. Lett. Huihan Liu, Pu Miao, Kang Song
2025	J	`jnl`	Robot learning on the job: Human-in-the-loop autonomy and learning during deployment. Int. J. Robotics Res. Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
2025	J	`jnl`	SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning. CoRR Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi Fan, Yuke Zhu
2024	A*	`conf`	Model-Based Runtime Monitoring with Interactive Imitation Learning. ICRA Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
2024	Misc	`conf`	Multi-Task Interactive Robot Fleet Learning with Visual World Models. CoRL Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu
2024	J	`jnl`	Multi-Task Interactive Robot Fleet Learning with Visual World Models. CoRR Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu
2024	J	`jnl`	PRIME: Scaffolding Manipulation Tasks With Behavior Primitives for Data-Efficient Imitation Learning. IEEE Robotics Autom. Lett. Tian Gao, Soroush Nasiriany, Huihan Liu, Quantao Yang, Yuke Zhu
2024	J	`jnl`	PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning. CoRR Tian Gao, Soroush Nasiriany, Huihan Liu, Quantao Yang, Yuke Zhu
2023	J	`jnl`	Interactive Robot Learning from Verbal Correction. CoRR Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng
2023	J	`jnl`	Model-Based Runtime Monitoring with Interactive Imitation Learning. CoRR Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
2023	—	`conf`	Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. Robotics: Science and Systems Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
2022	A*	`conf`	Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. ICRA Soroush Nasiriany, Huihan Liu, Yuke Zhu
2022	J	`jnl`	Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. CoRR Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
2021	J	`jnl`	Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. CoRR Soroush Nasiriany, Huihan Liu, Yuke Zhu
2021	A*	`conf`	Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. ICLR Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
2020	J	`jnl`	Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. CoRR Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
2019	C	`conf`	A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks. ICMLA Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos
2019	J	`jnl`	A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks. CoRR Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos
2019	A*	`conf`	Consensus Adversarial Domain Adaptation. AAAI Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos
2019	J	`jnl`	Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure. CoRR Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Aummul Baneen Manasawala, Yu-Wen Lin, Costas J. Spanos
2019	—	`conf`	WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition. CVPR Workshops Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos
2018	J	`jnl`	A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University. CoRR Ioannis C. Konstantakopoulos, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas J. Spanos
2018	J	`jnl`	Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso. CoRR Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos