Jinghuan Shang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Computational Neuroscience

Reinforcement Learning

Reward Function

Top Venues

Publications

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
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR (2024)
Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. ICRA (2024)
Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant
Theia: Distilling Diverse Vision Foundation Models for Robot Learning. CoRR (2024)
Jinghuan Shang, Michael S. Ryoo
Active Vision Reinforcement Learning under Limited Visual Observability. NeurIPS (2023)
Jinghuan Shang, Michael S. Ryoo
Active Reinforcement Learning under Limited Visual Observability. CoRR (2023)
Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. CoRR (2023)
Jinghuan Shang, Xiang Li, Kumara Kahatapitiya, Yu-Cheol Lee, Michael S. Ryoo
StARformer: Transformer With State-Action-Reward Representations for Robot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. ECCV (39) (2022)
Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo
TRITON: Neural Neural Textures for Better Sim2Real. CoRL (2022)
Jinghuan Shang, Srijan Das, Michael S. Ryoo
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. CoRR (2022)
Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NeurIPS (2022)
Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo
Neural Neural Textures Make Sim2Real Consistent. CoRR (2022)
Jinghuan Shang, Srijan Das, Michael S. Ryoo
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. NeurIPS (2022)
Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? CoRR (2022)
Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian
Learning for Expressive Task-Related Sentence Representations. CoRR (2022)
Jinghuan Shang, Michael S. Ryoo
StARformer: Transformer with State-Action-Reward Representations. CoRR (2021)
Jinghuan Shang, Michael S. Ryoo
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. CoRR (2021)
Jinghuan Shang, Michael S. Ryoo
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. IROS (2021)
Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang
Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks. AAAI (2018)