LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup. - Qiao Gu; Guanzhi Wang; Mang Tik Chiu; Yu-Wing Tai; Chi-Keung Tang (ICCV, 2019)

RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition. - Linxi Fan; Shyamal Buch; Guanzhi Wang; Ryan Cao; Yuke Zhu; Juan Carlos Niebles; Li Fei-Fei 001 (ECCV (19), 2020)

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Shyamal Buch; Claudia D'Arpino; Sanjana Srivastava; Lyne P. Tchapmi; Micael E. Tchapmi; Kent Vainio; et al. (CoRR, 2020)

Deep Video Matting via Spatio-Temporal Alignment and Aggregation. - Yanan Sun 005; Guanzhi Wang; Qiao Gu; Chi-Keung Tang; Yu-Wing Tai (CVPR, 2021)

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei 001; Yuke Zhu; Animashree Anandkumar (ICML, 2021)

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Claudia Pérez-D'Arpino; Shyamal Buch; Sanjana Srivastava; Lyne Tchapmi; Micael Tchapmi; Kent Vainio; et al. (IROS, 2021)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. - Linxi Fan; Guanzhi Wang; Yunfan Jiang 001; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (NeurIPS, 2022)

VIMA: General Robot Manipulation with Multimodal Prompts. - Yunfan Jiang 001; Agrim Gupta; Zichen Zhang 011; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei 001; Anima Anandkumar; Yuke Zhu; Linxi Fan (CoRR, 2022)

VIMA: Robot Manipulation with Multimodal Prompts. - Yunfan Jiang 001; Agrim Gupta; Zichen Zhang 011; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei 001; Anima Anandkumar; Yuke Zhu; Linxi Fan (ICML, 2023)

Eureka: Human-Level Reward Design via Coding Large Language Models. - Yecheng Jason Ma 001; William Liang; Guanzhi Wang; De-An Huang; Osbert Bastani; Dinesh Jayaraman; Yuke Zhu; Linxi Fan; Anima Anandkumar (ICLR, 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)

Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search. - Jonathan Light; Min Cai; Weiqin Chen 003; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu (CoRR, 2024)

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making. - Jonathan Light; Sixue Xing; Yuanzhe Liu 001; Weiqin Chen 003; Min Cai; Xiusi Chen; Guanzhi Wang; Wei Cheng; Yisong Yue; Ziniu Hu (CoRR, 2024)

Voyager: An Open-Ended Embodied Agent with Large Language Models. - Guanzhi Wang; Yuqi Xie; Yunfan Jiang 001; Ajay Mandlekar; Chaowei Xiao; Yuke Zhu; Linxi Fan; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search. - Jonathan Light; Min Cai; Weiqin Chen 003; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu (ICLR, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi Fan; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang 002; et al. (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. - Joel Jang; Seonghyeon Ye; Zongyu Lin; Jiannan Xiang; Johan Bjorck; Yu Fang; Fengyuan Hu; Spencer Huang; Kaushil Kundalia; Yen-Chen Lin; Loic Magne; Ajay Mandlekar; et al. (CoRR, 2025)

FLARE: Robot Learning with Implicit World Modeling. - Ruijie Zheng; Jing Wang; Scott Reed; Johan Bjorck; Yu Fang; Fengyuan Hu; Joel Jang; Kaushil Kundalia; Zongyu Lin; Loic Magne; Avnish Narayan; You Liang Tan; et al. (CoRR, 2025)