Guanzhi Wang

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Yuke ZhuThe University of Texas at Austin, NVIDIA ResearchVerified email at cs.utexas.edu
Linxi "Jim" FanNVIDIA, https://jimfan.meVerified email at nvidia.com
Yunfan JiangPhD Student, Stanford UniversityVerified email at cs.stanford.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Yuqi XieNVIDIAVerified email at utexas.edu
Ajay MandlekarResearch Scientist, NVIDIAVerified email at nvidia.com
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
De-An HuangStanford UniversityVerified email at cs.stanford.edu
Chaowei XiaoJohns Hopkins University/NVIDIAVerified email at umich.edu
Yuncong YangUniversity of Massachusetts AmherstVerified email at umass.edu
Agrim GuptaPhD Student, Stanford UniversityVerified email at stanford.edu
Zichen ZhangSkild AIVerified email at skild.ai
Shyamal BuchStanford UniversityVerified email at stanford.edu
Dinesh JayaramanAssistant Professor, University of PennsylvaniaVerified email at seas.upenn.edu
Osbert BastaniUniversity of PennsylvaniaVerified email at seas.upenn.edu
William LiangUniversity of California, BerkeleyVerified email at berkeley.edu
Andrew TangColumbia UniversityVerified email at columbia.edu
William Bokui ShenStanford UniversityVerified email at stanford.edu
Chengshu LiStanford UniversityVerified email at stanford.edu
Yu-Wing TaiDartmouth CollegeVerified email at dartmouth.edu

Guanzhi Wang

NVIDIA

Verified email at nvidia.com - Homepage

Robotics Machine Learning Reinforcement Learning Foundation Models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Voyager: An Open-Ended Embodied Agent with Large Language Models G Wang, Y Xie, Y Jiang, A Mandlekar, C Xiao, Y Zhu, L Fan, ... Transactions on Machine Learning Research (TMLR), 2023	1752	2023
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration⁰ A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024	1499*	2024
Eureka: Human-level reward design via coding large language models YJ Ma, W Liang, G Wang, DA Huang, O Bastani, D Jayaraman, Y Zhu, ... arXiv preprint arXiv:2310.12931, 2023	646	2023
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge L Fan, G Wang, Y Jiang, A Mandlekar, Y Yang, H Zhu, A Tang, ... Advances in Neural Information Processing Systems 35, 18343-18362, 2022	594	2022
VIMA: General Robot Manipulation with Multimodal Prompts Y Jiang, A Gupta, Z Zhang, G Wang*, Y Dou, Y Chen, L Fei-Fei, ... Fortieth International Conference on Machine Learning (ICML), 2022	582*	2022
Gr00t n1: An open foundation model for generalist humanoid robots J Bjorck, F Castañeda, N Cherniadev, X Da, R Ding, L Fan, Y Fang, D Fox, ... arXiv preprint arXiv:2503.14734, 2025	299	2025
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes B Shen, F Xia, C Li, R Martín-Martín, L Fan, G Wang, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020	249	2020
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup Q Gu, G Wang, MT Chiu, YW Tai, CK Tang Proceedings of the IEEE International Conference on Computer Vision, 10481-10490, 2019	151	2019
Secant: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies L Fan, G Wang, DA Huang, Z Yu, L Fei-Fei, Y Zhu, A Anandkumar arXiv preprint arXiv:2106.09678, 2021	92	2021
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition L Fan, S Buch, G Wang, R Cao, Y Zhu, JC Niebles, L Fei-Fei Proceedings of the European Conference on Computer Vision (ECCV), 2020	90	2020
Deep Video Matting via Spatio-Temporal Alignment and Aggregation Y Sun, G Wang, Q Gu, CK Tang, YW Tai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	78	2021
DreamGen: Unlocking Generalization in Robot Learning through Video World Models J Jang, S Ye, Z Lin, J Xiang, J Bjorck, Y Fang, F Hu, S Huang, K Kundalia, ... arXiv preprint arXiv:2505.12705, 2025	40*	2025
FLARE: Robot learning with implicit world modeling R Zheng, J Wang, S Reed, J Bjorck, Y Fang, F Hu, J Jang, K Kundalia, ... arXiv preprint arXiv:2505.15659, 2025	24	2025
Strategist: Learning strategic skills by llms via bi-level tree search J Light, M Cai, W Chen, G Wang, X Chen, W Cheng, Y Yue, Z Hu Automated Reinforcement Learning: Exploring Meta-Learning, AutoML, and LLMs, 2024	9	2024
NitroGen: An Open Foundation Model for Generalist Gaming Agents L Magne, A Awadalla, G Wang, Y Xu, J Belofsky, F Hu, J Kim, L Schmidt, ... arXiv preprint arXiv:2601.02427, 2026	1	2026

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