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Jinghuan Shang
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2020 – today
- 2024
- [c8]Xiang Li
, Varun Belagali, Jinghuan Shang, Michael S. Ryoo:
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. ICRA 2024: 16841-16849 - [i10]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 abs/2406.20095 (2024) - [i9]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 abs/2407.20179 (2024) - 2023
- [j1]Jinghuan Shang
StARformer: Transformer With State-Action-Reward Representations for Robot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12862-12877 (2023) - [c7]Jinghuan Shang, Michael S. Ryoo:
Active Vision Reinforcement Learning under Limited Visual Observability. NeurIPS 2023 - [i8]Jinghuan Shang, Michael S. Ryoo:
Active Reinforcement Learning under Limited Visual Observability. CoRR abs/2306.00975 (2023) - [i7]Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo:
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. CoRR abs/2307.01849 (2023) - 2022
- [c6]Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo:
TRITON: Neural Neural Textures for Better Sim2Real. CoRL 2022: 2215-2225 - [c5]Jinghuan Shang
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. ECCV (39) 2022: 462-479 - [c4]Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo:
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NeurIPS 2022 - [c3]Jinghuan Shang, Srijan Das, Michael S. Ryoo:
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. NeurIPS 2022 - [i6]Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian:
Learning for Expressive Task-Related Sentence Representations. CoRR abs/2205.12186 (2022) - [i5]Xiang Li, Jinghuan Shang
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? CoRR abs/2206.05266 (2022) - [i4]Jinghuan Shang
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. CoRR abs/2206.11895 (2022) - [i3]Ryan Burgert, Jinghuan Shang
Neural Neural Textures Make Sim2Real Consistent. CoRR abs/2206.13500 (2022) - 2021
- [c2]Jinghuan Shang
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. IROS 2021: 214-221 - [i2]Jinghuan Shang, Michael S. Ryoo:
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. CoRR abs/2108.01069 (2021) - [i1]Jinghuan Shang, Michael S. Ryoo:
StARformer: Transformer with State-Action-Reward Representations. CoRR abs/2110.06206 (2021)
2010 – 2019
- 2018
- [c1]Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang:
Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks. AAAI 2018: 8089-8090
Coauthor Index
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