Biography

Hello! I am a Research Scientist at NVIDIA Research, where I work with Prof. Song Han. My research centers on efficient generative models, with the goal of making them more scalable, practical, and accessible. I received my Ph.D. from The Hong Kong University of Science and Technology (Guangzhou), where I was advised by Prof. Yingcong Chen. Before that, I earned my Bachelor's degree from the School of Computer Science and Engineering at Beihang University. I have also been fortunate to work closely with Dr. Yukang Chen.

Recently, my work has focused on the LongLive series, which spans real-time interactive long video generation, NVFP4 training and inference infrastructure, retrieval-augmented long video generation, once-for-all distillation, and long-context world-action models for robotics.

News

  • 2026.10Released Long-WAM, which scales the context of world-action models, with real-robot deployment on YAM, Franka and Unitree G1.
  • 2026.09Released LongLive-Plug: distill a capability once, then plug it into downstream video models.
  • 2026.06Released LongLive-RAG, a retrieval-augmented framework for long video generation.
  • 2026.05Released LongLive 2.0, an NVFP4 parallel infrastructure for long video generation (45.7 FPS inference).
  • 2026.04Joined NVIDIA Research as a full-time Research Scientist.
  • 2026.01Three papers (LongLive, QeRL, SANA-Video) accepted to ICLR 2026.
  • 2025.09Released LongLive, which ranked #1 on Hugging Face Daily Papers.

Research

*: Equal Contribution · Google Scholar

LongLive Series

LongLive Infra logo

An open infrastructure from NVIDIA for long video generation, world models and world-action models. Every project lives in NVlabs/LongLive with code, documentation and model weights.

Long-WAM teaser

Long-WAM: Scaling the Context of World-Action Models

arXiv preprint, 2026

Wei Huang*, Bohan Zhang*, Chenzhi Liu, Isabella Liu, Shuai Yang, Weian Mao, Luozhou Wang, Yicheng Xiao, Weifeng Lin, Qixin Hu, Bryan Chu, Sifei Liu, Linxi Fan, Xiaojuan Qi, Song Han, Yukang Chen.

Long-context world-action models with streaming visual memory, deployed on YAM, Franka and Unitree G1.

Other Publications

Experience

  • NVIDIA Research Research Scientist working on efficient generative models with Prof. Song Han
    Apr 2026 - Present
  • NVIDIA Research Research intern working on efficient generative models with Prof. Song Han
    Mar 2025 - Feb 2026
  • ARC Lab, Tencent PCG Research intern working on multimodal LLM, manager: Dr. Yixiao Ge
    Nov 2023 - Jul 2024
  • Smartmore Full-time computer vision engineer working on tool-chains, manager: Dr. Shu Liu
    Nov 2020 - Aug 2022
  • Sensetime Research intern working on neural architecture search (NAS)
    Dec 2019 - Jun 2020
  • University of California, Los Angeles Research Assistant
    Jul 2019 - Oct 2019
  • Tsinghua University Research Assistant
    Sep 2018 - Jun 2019

Honors & Awards

Postgraduate Scholarship, HKUST(GZ) 2022 - 2026
1st place on the challenge of the Third Workshop on Neural Architecture Search (NAS), CVPR 2022 2022
Distinguished Graduate, School of Computer Science and Engineering, BUAA 2020
Undergraduate Research Scholarship, BUAA 2019

Academic Services

Conference Reviewer:

ICLR 25 NeurIPS 24, 25 ICML 25 ICCV 23, 25 CVPR 24, 25 ECCV 24

Teaching

AIAA5023 Introduction to Computer Vision, HKUST(GZ) 2023-2024
AIAA5045 Medical Imaging, HKUST(GZ) 2023-2024
Principles of Computer Composition, BUAA 2018-2019
C Programming, BUAA 2017-2018

Personal Interests

  • 🏀 Basketball
  • 🏋️ Lifting
  • 🎮 Dota2 (Ranked Immortal, 6500+ MMR)