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Jinghuan Shang
Jinghuan Shang
Research Scientist, The AI Institute
Verified email at cs.stonybrook.edu - Homepage
Title
Cited by
Cited by
Year
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning
J Shang, K Kahatapitiya, X Li, MS Ryoo
European Conference on Computer Vision, 2022
38*2022
Does self-supervised learning really improve reinforcement learning from pixels?
X Li, J Shang, S Das, M Ryoo
Advances in Neural Information Processing Systems 35, 30865-30881, 2022
292022
Self-supervised disentangled representation learning for third-person imitation learning
J Shang, MS Ryoo
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
242021
Crossway diffusion: Improving diffusion-based visuomotor policy via self-supervised learning
X Li, V Belagali, J Shang, MS Ryoo
2024 IEEE International Conference on Robotics and Automation (ICRA), 16841 …, 2024
182024
Learning viewpoint-agnostic visual representations by recovering tokens in 3d space
J Shang, S Das, M Ryoo
Advances in Neural Information Processing Systems 35, 31031-31044, 2022
152022
Llara: Supercharging robot learning data for vision-language policy
X Li, C Mata, J Park, K Kahatapitiya, YS Jang, J Shang, K Ranasinghe, ...
arXiv preprint arXiv:2406.20095, 2024
122024
StARformer: Transformer with State-Action-Reward Representations for Robot Learning
J Shang, X Li, K Kahatapitiya, YC Lee, MS Ryoo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
112022
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
J Shang, K Schmeckpeper, BB May, MV Minniti, T Kelestemur, D Watkins, ...
8th Conference on Robot Learning (CoRL), 2024
92024
Triton: Neural neural textures for better sim2real
RD Burgert, J Shang, X Li, MS Ryoo
6th Annual Conference on Robot Learning, 2022
8*2022
Active vision reinforcement learning under limited visual observability
J Shang, MS Ryoo
Advances in Neural Information Processing Systems 36, 2024
5*2024
Learning for Expressive Task-Related Sentence Representations
X Bai, J Shang, Y Sun, N Balasubramanian
arXiv, 2022
12022
Continual Learning with Global Prototypes: Beyond the Scope of Task Supervision
X Bai, J Shang, Y Sun, N Balasubramanian
1
Enhancing Continual Learning with Global Prototypes: Counteracting Negative Representation Drift
X Bai, J Shang, Y Sun, N Balasubramanian
arXiv preprint arXiv:2205.12186, 2022
2022
Continual Learning with Global Alignment
X Bai, J Shang, Y Sun, N Balasubramanian
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning–Supplementary Material
J Shang, K Kahatapitiya, X Li, MS Ryoo
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Articles 1–15