Ruihan Zhao - RankMe

29 papers A* 3A 5C 1Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. L4DC Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu
2025	A	`conf`	Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent. AAMAS Shenghui Chen, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu
2025	J	`jnl`	Learning Human Perception Dynamics for Informative Robot Communication. CoRR Shenghui Chen, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu
2025	J	`jnl`	MoS-VLA: A Vision-Language-Action Model with One-Shot Skill Adaptation. CoRR Ruihan Zhao, Tyler Ingebrand, Sandeep Chinchali, Ufuk Topcu
2024	Misc	`conf`	Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations. CoRL Ruihan Zhao, Ufuk Topcu, Sandeep P. Chinchali, Mariano Phielipp
2024	J	`jnl`	Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. CoRR Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu
2024	J	`jnl`	Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent. CoRR Shenghui Chen, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu
2024	A	`conf`	PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems. IROS Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali
2024	J	`jnl`	PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems. CoRR Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali
2024	A	`conf`	Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. ECAI Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu
2024	J	`jnl`	Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. CoRR Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu
2023	J	`jnl`	Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations. CoRR Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp
2023	C	`conf`	Poisoning Attacks Against Data-Driven Predictive Control. ACC Yue Yu, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu
2023	J	`jnl`	Task-aware Distributed Source Coding under Dynamic Bandwidth. CoRR Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim
2022	A*	`conf`	Class-Aware Adversarial Transformers for Medical Image Segmentation. NeurIPS Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan
2022	J	`jnl`	Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. CoRR Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan
2022	A*	`conf`	Hierarchical Few-Shot Imitation with Skill Transition Models. ICLR Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin
2022	A	`conf`	Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. IROS Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin
2022	A	`conf`	MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. WACV Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan
2022	—	`conf`	Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. MICCAI (4) Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2022	J	`jnl`	Poisoning Attacks Against Data-Driven Predictive Control. CoRR Yue Yu, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu
2022	J	`jnl`	SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2021	A*	`conf`	Efficient Empowerment Estimation for Unsupervised Stabilization. ICLR Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin
2021	J	`jnl`	Hierarchical Few-Shot Imitation with Skill Transition Models. CoRR Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin
2021	J	`jnl`	MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. CoRR Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan
2021	J	`jnl`	Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. CoRR Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2021	J	`jnl`	SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. CoRR Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2020	J	`jnl`	Efficient Online Estimation of Empowerment for Reinforcement Learning. CoRR Ruihan Zhao, Pieter Abbeel, Stas Tiomkin
2019	J	`jnl`	Learning Efficient Representation for Intrinsic Motivation. CoRR Ruihan Zhao, Stas Tiomkin, Pieter Abbeel