Xiang Li - RankMe

19 papers A* 4A 1Misc 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
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`	Pixel Motion Diffusion is What We Need for Robot Control. CoRR E-Ro Nguyen, Yichi Zhang, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo
2025	J	`jnl`	Pixel Motion as Universal Representation for Robot Control. CoRR Kanchana Ranasinghe, Xiang Li, Cristina Mata, Jongwoo Park, Michael S. Ryoo
2025	A*	`conf`	Understanding Long Videos with Multimodal Language Models. ICLR Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo
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	—	`conf`	Diffusion Illusions: Hiding Images in Plain Sight. SIGGRAPH (Conference Paper Track) Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, 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	A	`conf`	Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders. WACV Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S. Ryoo
2024	J	`jnl`	Understanding Long Videos in One Multimodal Language Model Pass. CoRR Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, 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`	Diffusion Illusions: Hiding Images in Plain Sight. CoRR Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo
2023	J	`jnl`	Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders. CoRR Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, 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	J	`jnl`	Neural Neural Textures Make Sim2Real Consistent. CoRR Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo
2022	J	`jnl`	Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors. CoRR Ryan D. Burgert, Kanchana Ranasinghe, 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