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Ruihan Zhao 0001
Person information
- affiliation: University of California, Berkeley, CA, USA
Other persons with the same name
- Ruihan Zhao 0002 — University of Shanghai for Science and Technology, Shanghai, China
- Ruihan Zhao 0003 — Tongji University, Sino-German School of Postgraduate Studies, Shanghai, China
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2020 – today
- 2024
- [c10]Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. ECAI 2024: 2653-2660 - [c9]Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali:
PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems. IROS 2024: 10326-10333 - [i14]Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. CoRR abs/2408.13376 (2024) - [i13]Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali:
PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems. CoRR abs/2409.06078 (2024) - [i12]Shenghui Chen, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent. CoRR abs/2410.18242 (2024) - [i11]Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu:
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. CoRR abs/2412.01114 (2024) - 2023
- [c8]Yue Yu, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Poisoning Attacks Against Data-Driven Predictive Control. ACC 2023: 545-550 - [c7]Po-han Li, Sravan Kumar Ankireddy, Ruihan Philip Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim:
Task-aware Distributed Source Coding under Dynamic Bandwidth. NeurIPS 2023 - [i10]Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp:
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations. CoRR abs/2302.14242 (2023) - [i9]Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim:
Task-aware Distributed Source Coding under Dynamic Bandwidth. CoRR abs/2305.15523 (2023) - 2022
- [j1]Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(9): 2228-2237 (2022) - [c6]Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin:
Hierarchical Few-Shot Imitation with Skill Transition Models. ICLR 2022 - [c5]Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin:
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. IROS 2022: 4040-4047 - [c4]Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. MICCAI (4) 2022: 639-652 - [c3]Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Adversarial Transformers for Medical Image Segmentation. NeurIPS 2022 - [c2]Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan:
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. WACV 2022: 3946-3956 - [i8]Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. CoRR abs/2201.10737 (2022) - [i7]Yue Yu, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Poisoning Attacks Against Data-Driven Predictive Control. CoRR abs/2209.09108 (2022) - 2021
- [c1]Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin:
Efficient Empowerment Estimation for Unsupervised Stabilization. ICLR 2021 - [i6]Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. CoRR abs/2105.07059 (2021) - [i5]Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin:
Hierarchical Few-Shot Imitation with Skill Transition Models. CoRR abs/2107.08981 (2021) - [i4]Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. CoRR abs/2108.06227 (2021) - [i3]Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan:
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. CoRR abs/2110.15327 (2021) - 2020
- [i2]Ruihan Zhao, Pieter Abbeel, Stas Tiomkin:
Efficient Online Estimation of Empowerment for Reinforcement Learning. CoRR abs/2007.07356 (2020)
2010 – 2019
- 2019
- [i1]Ruihan Zhao, Stas Tiomkin, Pieter Abbeel:
Learning Efficient Representation for Intrinsic Motivation. CoRR abs/1912.02624 (2019)
Coauthor Index
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