Jinghuan Shang

25 papers A* 7A 1Misc 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning. CoRR Ran Gong, Xiaohan Zhang, Jinghuan Shang, Maria Vittoria Minniti, Jigarkumar Patel, Valerio Pepe, Riedana Yan, Ahmet Gundogdu, Ivan Kapelyukh, Ali Abbas, Xiaoqiang Yan, Harsh Patel, Laura Herlant, Karl Schmeckpeper
2025	A*	`conf`	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. ICLR 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
2025	J	`jnl`	Sceniris: A Fast Procedural Scene Generation Framework. CoRR Jinghuan Shang, Harsh Patel, Ran Gong, Karl Schmeckpeper
2025	J	`jnl`	VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing. CoRR Yixiao Wang, Mingxiao Huo, Zhixuan Liang, Yushi Du, Lingfeng Sun, Haotian Lin, Jinghuan Shang, Chensheng Peng, Mohit Bansal, Mingyu Ding, Masayoshi Tomizuka
2024	A*	`conf`	Continual Learning with Global Alignment. NeurIPS Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian
2024	A*	`conf`	Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. ICRA Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
2024	J	`jnl`	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR 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
2024	Misc	`conf`	Theia: Distilling Diverse Vision Foundation Models for Robot Learning. CoRL Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant
2024	J	`jnl`	Theia: Distilling Diverse Vision Foundation Models for Robot Learning. CoRR Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant
2023	J	`jnl`	Active Reinforcement Learning under Limited Visual Observability. CoRR Jinghuan Shang, Michael S. Ryoo
2023	A*	`conf`	Active Vision Reinforcement Learning under Limited Visual Observability. NeurIPS Jinghuan Shang, Michael S. Ryoo
2023	J	`jnl`	Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. CoRR Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
2023	J	`jnl`	StARformer: Transformer With State-Action-Reward Representations for Robot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jinghuan Shang, Xiang Li, Kumara Kahatapitiya, Yu-Cheol Lee, Michael S. Ryoo
2022	A*	`conf`	Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NeurIPS Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo
2022	J	`jnl`	Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? CoRR Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo
2022	A*	`conf`	Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. NeurIPS Jinghuan Shang, Srijan Das, Michael S. Ryoo
2022	J	`jnl`	Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. CoRR Jinghuan Shang, Srijan Das, Michael S. Ryoo
2022	J	`jnl`	Learning for Expressive Task-Related Sentence Representations. CoRR Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian
2022	J	`jnl`	Neural Neural Textures Make Sim2Real Consistent. CoRR Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo
2022	—	`conf`	StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. ECCV (39) Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo
2022	Misc	`conf`	TRITON: Neural Neural Textures for Better Sim2Real. CoRL Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo
2021	A	`conf`	Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. IROS Jinghuan Shang, Michael S. Ryoo
2021	J	`jnl`	Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. CoRR Jinghuan Shang, Michael S. Ryoo
2021	J	`jnl`	StARformer: Transformer with State-Action-Reward Representations. CoRR Jinghuan Shang, Michael S. Ryoo
2018	A*	`conf`	Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks. AAAI Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang