| 2024 | CoRL | Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations. | Ruihan Zhao, Ufuk Topcu, Sandeep P. Chinchali, Mariano Phielipp |
| 2024 | ECAI | Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. | Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu |
| 2024 | IROS | PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems. | Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali |
| 2022 | ICLR | Hierarchical Few-Shot Imitation with Skill Transition Models. | Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin |
| 2022 | IROS | Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. | Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin |
| 2022 | MICCAI | Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. | Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan |
| 2022 | WACV | MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. | Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan |
| 2021 | ICLR | Efficient Empowerment Estimation for Unsupervised Stabilization. | Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin |