Learning Efficient Representation for Intrinsic Motivation. - Ruihan Zhao 001; Stas Tiomkin; Pieter Abbeel (CoRR, 2019)

Efficient Online Estimation of Empowerment for Reinforcement Learning. - Ruihan Zhao 001; Pieter Abbeel; Stas Tiomkin (CoRR, 2020)

Efficient Empowerment Estimation for Unsupervised Stabilization. - Ruihan Zhao 001; Kevin Lu; Pieter Abbeel; Stas Tiomkin (ICLR, 2021)

Hierarchical Few-Shot Imitation with Skill Transition Models. - Kourosh Hakhamaneshi; Ruihan Zhao 001; Albert Zhan; Pieter Abbeel; Michael Laskin (ICLR, 2022)

Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. - Albert Zhan; Ruihan Zhao 001; Lerrel Pinto; Pieter Abbeel; Michael Laskin (IROS, 2022)

Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. - Chenyu You; Ruihan Zhao 001; Lawrence H. Staib; James S. Duncan (MICCAI (4), 2022)

Class-Aware Adversarial Transformers for Medical Image Segmentation. - Chenyu You; Ruihan Zhao 001; Fenglin Liu; Siyuan Dong; Sandeep Chinchali; Ufuk Topcu; Lawrence H. Staib; James S. Duncan (NeurIPS, 2022)

MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. - Chenyu You; Lianyi Han; Aosong Feng; Ruihan Zhao 001; Hui Tang; Wei Fan 001 (WACV, 2022)

Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. - Chenyu You; Ruihan Zhao 001; Fenglin Liu; Sandeep Chinchali; Ufuk Topcu; Lawrence H. Staib; James S. Duncan (CoRR, 2022)

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. - Chenyu You; Yuan Zhou 004; Ruihan Zhao 001; Lawrence H. Staib; James S. Duncan (IEEE Trans. Medical Imaging, 2022)

Poisoning Attacks Against Data-Driven Predictive Control. - Yue Yu 004; Ruihan Zhao 001; Sandeep Chinchali; Ufuk Topcu (ACC, 2023)

Task-aware Distributed Source Coding under Dynamic Bandwidth. - Po-han Li; Sravan Kumar Ankireddy; Ruihan Philip Zhao; Hossein Nourkhiz Mahjoub; Ehsan Moradi-Pari; Ufuk Topcu; Sandeep Chinchali; Hyeji Kim (NeurIPS, 2023)

Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations. - Ruihan Zhao 001; Ufuk Topcu; Sandeep Chinchali; Mariano Phielipp (CoRR, 2023)

Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations. - Ruihan Zhao 001; Ufuk Topcu; Sandeep P. Chinchali; Mariano Phielipp (CoRL, 2024)

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. - Georgios Bakirtzis; Michail Savvas; Ruihan Zhao 001; Sandeep Chinchali; Ufuk Topcu (ECAI, 2024)

PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems. - Aditya Narayanan; Pranav Kasibhatla; Minkyu Choi 001; Po-han Li; Ruihan Zhao 001; Sandeep Chinchali (IROS, 2024)

Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent. - Shenghui Chen; Ruihan Zhao 001; Sandeep Chinchali; Ufuk Topcu (AAMAS, 2025)

Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. - Cevahir Köprülü; Po-han Li; Tianyu Qiu; Ruihan Zhao 001; Tyler Westenbroek; David Fridovich-Keil; Sandeep Chinchali; Ufuk Topcu (L4DC, 2025)

Learning Human Perception Dynamics for Informative Robot Communication. - Shenghui Chen; Ruihan Zhao 001; Sandeep Chinchali; Ufuk Topcu (CoRR, 2025)