Jinghuan Shang

According to our database, Jinghuan Shang authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Theia: Distilling Diverse Vision Foundation Models for Robot Learning.

Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant

CoRR, 2024

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy.

Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo

CoRR, 2024

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning.

Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

StARformer: Transformer With State-Action-Reward Representations for Robot Learning.

Jinghuan Shang, Xiang Li, Kumara Kahatapitiya, Yu-Cheol Lee, Michael S. Ryoo

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Active Reinforcement Learning under Limited Visual Observability.

Jinghuan Shang, Michael S. Ryoo

CoRR, 2023

Active Vision Reinforcement Learning under Limited Visual Observability.

Jinghuan Shang, Michael S. Ryoo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Neural Neural Textures Make Sim2Real Consistent.

Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo

CoRR, 2022

Learning for Expressive Task-Related Sentence Representations.

Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian

CoRR, 2022

Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space.

Jinghuan Shang, Srijan Das, Michael S. Ryoo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?

Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning.

Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo

Proceedings of the Computer Vision - ECCV 2022, 2022

TRITON: Neural Neural Textures for Better Sim2Real.

Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo

Proceedings of the Conference on Robot Learning, 2022

2021

StARformer: Transformer with State-Action-Reward Representations.

Jinghuan Shang, Michael S. Ryoo

CoRR, 2021

Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning.

Jinghuan Shang, Michael S. Ryoo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2018

Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks.

Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018