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

Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. - Jinghuan Shang; Michael S. Ryoo (IROS, 2021)

StARformer: Transformer with State-Action-Reward Representations. - Jinghuan Shang; Michael S. Ryoo (CoRR, 2021)

TRITON: Neural Neural Textures for Better Sim2Real. - Ryan D. Burgert; Jinghuan Shang; Xiang Li 109; Michael S. Ryoo (CoRL, 2022)

StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. - Jinghuan Shang; Kumara Kahatapitiya; Xiang Li 109; Michael S. Ryoo (ECCV (39), 2022)

Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? - Xiang Li 109; Jinghuan Shang; Srijan Das; Michael S. Ryoo (NeurIPS, 2022)

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

Learning for Expressive Task-Related Sentence Representations. - Xueying Bai; Jinghuan Shang; Yifan Sun; Niranjan Balasubramanian (CoRR, 2022)

Neural Neural Textures Make Sim2Real Consistent. - Ryan D. Burgert; Jinghuan Shang; Xiang Li 109; Michael S. Ryoo (CoRR, 2022)

Active Vision Reinforcement Learning under Limited Visual Observability. - Jinghuan Shang; Michael S. Ryoo (NeurIPS, 2023)

Active Reinforcement Learning under Limited Visual Observability. - Jinghuan Shang; Michael S. Ryoo (CoRR, 2023)

StARformer: Transformer With State-Action-Reward Representations for Robot Learning. - Jinghuan Shang; Xiang Li 109; Kumara Kahatapitiya; Yu-Cheol Lee; Michael S. Ryoo (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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 (CoRL, 2024)

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. - Xiang Li 109; Varun Belagali; Jinghuan Shang; Michael S. Ryoo (ICRA, 2024)

Continual Learning with Global Alignment. - Xueying Bai; Jinghuan Shang; Yifan Sun; Niranjan Balasubramanian (NeurIPS, 2024)

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. - Xiang Li 109; Cristina Mata; Jongwoo Park 003; Kumara Kahatapitiya; Yoo Sung Jang; Jinghuan Shang; Kanchana Ranasinghe; Ryan D. Burgert; Mu Cai; Yong Jae Lee; Michael S. Ryoo (ICLR, 2025)