Shang, Jinghuan

10 publications

ICLR 2026 VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing Yixiao Wang, Mingxiao Huo, Zhixuan Liang, Yushi Du, Lingfeng Sun, Haotian Lin, Jinghuan Shang, Chensheng Peng, Mohit Bansal, Mingyu Ding, Masayoshi Tomizuka

ICLR 2025 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 D Burgert, Mu Cai, Yong Jae Lee, Michael S Ryoo

NeurIPS 2024 Continual Learning with Global Alignment Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian

CoRL 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

NeurIPS 2023 Active Vision Reinforcement Learning Under Limited Visual Observability Jinghuan Shang, Michael S Ryoo

NeurIPS 2022 Does Self-Supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li, Jinghuan Shang, Srijan Das, Michael Ryoo

NeurIPS 2022 Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space Jinghuan Shang, Srijan Das, Michael Ryoo

ECCV 2022 StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo

CoRL 2022 TRITON: Neural Neural Textures for Better Sim2Real Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo

AAAI 2018 Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang