When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning. - Zichen Zhang 016; Luca Weihs (CoRR, 2023)

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators. - Kuo-Hao Zeng; Zichen Zhang 016; Kiana Ehsani; Rose Hendrix; Jordi Salvador; Alvaro Herrasti; Ross B. Girshick; Aniruddha Kembhavi; Luca Weihs (CoRL, 2024)

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. - Jiasen Lu; Christopher Clark; Sangho Lee 008; Zichen Zhang 016; Savya Khosla; Ryan Marten; Derek Hoiem; Aniruddha Kembhavi (CVPR, 2024)

Universal Visual Decomposer: Long-Horizon Manipulation Made Easy. - Zichen Zhang 016; Yunshuang Li; Osbert Bastani; Abhishek Gupta 004; Dinesh Jayaraman; Yecheng Jason Ma; Luca Weihs (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

SoupLM: Model Integration in Large Language and Multi-Modal Models. - Yue Bai; Zichen Zhang 016; Jiasen Lu; Yun Fu 001 (CoRR, 2024)

When everyone is talking about AI: The development of fear of missing out on AI scale. - Fengyi Deng; Zichen Zhang 016; Lin Yajun; Mo Xiaoping; Zhang Yue (Telematics Informatics, 2025)