PeopleofSuperintelligence

Researcher

Guanzhi Wang

Guanzhi Wang is a researcher in embodied AI whose work spans computer vision, game agents, and robotics. He coauthored LADN on facial makeup and MineDojo, which won a 2022 NeurIPS Outstanding Paper Award. VIMA addressed robot manipulation, Voyager explored Minecraft and acquired skills with a language model, and Eureka used a language model to design reward functions. His later work includes GR00T N1 for humanoid robots and NitroGen for generalist gaming agents; the NitroGen paper received a 2026 CVPR Best Paper Honorable Mention. As of October 2026, he is a Research Scientist at NVIDIA focused on robot foundation-model post-training and agentic robotics.

Now at
NVIDIA
Works
32
Citations
1,235
h-index
12
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2017–2018

    Drowsiness detection at HKUST

    In 2017–2018, he studies computer science and mathematics at HKUST and researches drowsiness detection from consumer video recordings under Professor Thomas Heldt.

  2. 2019

    LADN for facial makeup

    At ICCV 2019, he coauthors LADN, a local adversarial network for facial makeup and de-makeup that uses overlapping local discriminators to disentangle content and style.

  3. 2022

    MineDojo's Outstanding Paper Award

    In 2022, he coauthors MineDojo, a Minecraft framework for building open-ended embodied agents. The project receives an Outstanding Paper Award in NeurIPS's Datasets and Benchmarks Track.

  4. 2023

    VIMA for robot manipulation

    At ICML 2023, he coauthors VIMA, a transformer-based agent that uses multimodal prompts to handle robot manipulation tasks.

  5. 2024

    Voyager and Eureka

    In 2024, Voyager appears in TMLR as an LLM-powered embodied Minecraft agent that continually explores and acquires skills. At ICLR 2024, he coauthors Eureka, which uses an LLM to optimize reward code for reinforcement learning.

  6. 2025

    GR00T N1 for humanoid robots

    In 2025, he coauthors GR00T N1, an open Vision-Language-Action foundation model for generalist humanoid robots.

  7. 2026

    A CVPR award for NitroGen

    In 2026, he coauthors NitroGen, a vision-action foundation model trained on 40,000 hours of gameplay videos across more than 1,000 games. The NitroGen paper receives a Best Paper Honorable Mention at CVPR 2026.

  8. As of October 2026

    Research Scientist at NVIDIA

    As of October 2026, he is a Research Scientist at NVIDIA, focused on post-training robot foundation models and agentic robotics. His research areas include artificial intelligence and machine learning, generative AI, and robotics.

Career

  1. NowNVIDIAResearch Scientist
  2. 2022–2026California Institute of Technology
  3. 2019–2021Hong Kong University of Science and Technology
  4. 2019–2021Stanford University

Education

  1. 2018Hong Kong University of Science and Technology

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Guanzhi Wang. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Guanzhi Wang. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. Google has the highest combined h-index among AI organizationsIncludes NVIDIA. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes NVIDIA. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Guanzhi Wang yet. Send us a free-licensed photo.

  1. Page 139 — Undergraduate Research Opportunities Program Proceedings 2017-18 ebookshelf.hkust.edu.hk. Checked 21 October 2026.
  2. Guanzhi Wang guanzhi.me. Checked 21 October 2026.
  3. NeurIPS 2022 Awards neurips.cc. Checked 21 October 2026.
  4. VIMA: General Robot Manipulation with Multimodal Prompts vimalabs.github.io. Checked 21 October 2026.
  5. Eureka: Human-Level Reward Design via Coding Large Language Models proceedings.iclr.cc. Checked 21 October 2026.
  6. NitroGen: A Foundation Model for Generalist Gaming Agents nitrogen.minedojo.org. Checked 21 October 2026.
  7. Guanzhi Wang | Research research.nvidia.com. Checked 21 October 2026.