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Jinghuan Shang

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2020 – today

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2022
[c4]
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  - conf/corl/BurgertSLR22
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  - https://dblp.org/rec/conf/corl/BurgertSLR22
Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo:
TRITON: Neural Neural Textures for Better Sim2Real. CoRL 2022: 2215-2225
[c3]
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  - conf/eccv/ShangKLR22
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Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo:
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. ECCV (39) 2022: 462-479
[i6]
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  - journals/corr/abs-2205-12186
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Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian:
Learning for Expressive Task-Related Sentence Representations. CoRR abs/2205.12186 (2022)
[i5]
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  - journals/corr/abs-2206-05266
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Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo:
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? CoRR abs/2206.05266 (2022)
[i4]
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  - journals/corr/abs-2206-11895
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Jinghuan Shang, Srijan Das, Michael S. Ryoo:
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. CoRR abs/2206.11895 (2022)
[i3]
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  - journals/corr/abs-2206-13500
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Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo:
Neural Neural Textures Make Sim2Real Consistent. CoRR abs/2206.13500 (2022)
2021
[c2]
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  - conf/iros/ShangR21
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Jinghuan Shang, Michael S. Ryoo:
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. IROS 2021: 214-221
[i2]
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  - journals/corr/abs-2108-01069
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Jinghuan Shang, Michael S. Ryoo:
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. CoRR abs/2108.01069 (2021)
[i1]
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  - journals/corr/abs-2110-06206
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Jinghuan Shang, Michael S. Ryoo:
StARformer: Transformer with State-Action-Reward Representations. CoRR abs/2110.06206 (2021)

2010 – 2019

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2018
[c1]
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  - conf/aaai/HuangSLFW18
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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

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