VOOZH about

URL: https://knightnemo.github.io

⇱ Siqiao Huang | 黄思乔

About Me

I’m currently a junior undergraduate student (from 2023 Fall) in IIIS (Yao Class), Tsinghua University, pursuing a Bachelor’s degree in Computer Science and Technology.

Currently, I am serving as a research intern at WEIRD Lab, University of Washington, under the supervision of Prof. Abhishek Gupta. Prior to this, I was extremely fortunate to be advised by Prof. Max Simchowitz, where I spent an amazing summer at CMU MLD. I am also deeply honored for the experience of working with Prof. Hang Zhao and Prof. Mingsheng Long.

I welcome any collaboration or discussion, whether with seniors or peers. I am currently seeking a PhD position starting in 2027 Fall, and am happy to discuss potential research fit and collaboration opportunities.

Research Interests

My research goal is to develop fundamental models with intrinsic understandings of the world and apply these to obtain general decision intelligence. Currently, my research interests include:

  • World Models: Visual World Models, Object-Centric World Models, Grounding Foundation Models(e.g. Video Diffusion Models, LLMs) to World Models.

  • Generalist Robot Policies: VLAs, Humanoid Foundation Models, Video-Centric Generalist Policies.

Recently, I am super interested in understanding theoretical foundations of machine learning and robotics, especially for generative modeling, sequence prediction, and robot learning.

News

Education

  • B.S. in Computer Science, Tsinghua University, 2023-2027 (expected).
    Institute for Interdisciplinary Information Sciences (Yao Class), Tsinghua University.
    GPA: 3.94/4.00, Rank: 9/91.
    Selected Courses: Natural Language Processing (A+), Algebra and Computation (A+, Top 1),
    Fundamentals of Programming (A+), Multi-modal Machine Learning (A),
    Deep Learning (A), Computer Vision (A), Introduction to Computer Systems (A).

Publications

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  1. Siqiao Huang*, Kun-Ying Lee*, Dongming Qiao*, Guanqi He*, Zhenyu Wang, Yitang Li, Shaoting Zhu, Hang Zhao#
    ArXiv preprint, 2026.

  2. Siqiao Huang, Partha Kaushik, Michael Chen, Hengkai Pan, Kaiwen Geng, Omar Chehab, Fernando Moreno-Pino, Max Simchowitz#
    Technical Report. ArXiv preprint, 2026.


  1. Siqiao Huang*, Kun-Ying Lee*, Dongming Qiao*, Guanqi He*, Zhenyu Wang, Yitang Li, Shaoting Zhu, Hang Zhao#
    ArXiv preprint, 2026.

  2. Yu-Kai Wang, Kevin Zhang, Xiaowei Chi, Tianxing Chen, Siqiao Huang, ..., Jian Tang, Shanghang Zhang#
    CVPR 2026 Workshops.

  3. Siqiao Huang, Partha Kaushik, Michael Chen, Hengkai Pan, Kaiwen Geng, Omar Chehab, Fernando Moreno-Pino, Max Simchowitz#
    Technical Report. ArXiv preprint, 2026.

  4. Bohan Lyu*, Yucheng Yang*, Siqiao Huang*, Jiaru Zhang*, ...
    Max Simchowitz, Jiantao Jiao, Dawn Song, Chi Jin#
    ArXiv preprint, 2026.



  7. Shaofeng Yin*, Jialong Wu*, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long#
    ICML 2025.

* Equal Contribution, # Corresponding Author

Selected Projects

  1. A curated list of awesome works in world modeling, aiming to serve as a one-stop resource for everyone interested in world modeling. [🧵 Twitter Thread]
    Code Project Page  Hot! 100+ Stars in under 24 Hours!

  2. A minimalist, batteries-included repo for training, evaluating, and deploying diffusion-forcing-based world models toward open, reproducible world model science.

Experience


Academic Experience

  1. Research Intern: 2026.3 - Present.
    Topics: Robot Manipulation, Test-time Adaptation, VLA, World Models, Real-World RL, Science of Robotics.
    Research Advisor: Prof. Abhishek Gupta.

  2. Research Intern: 2025.6 - 2026.3.
    Topics: World Models, Generative Models, Learning in Sequential Environments and Dynamical Systems.
    Research Advisor: Prof. Max Simchowitz.

  3. Research Intern: 2025.9 - Present.
    Topics: Humanoid Foundation Models, VLAs, Generative Control Policies.
    Research Advisor: Prof. Hang Zhao.

  4. Research Intern: 2024.7 - 2025.11.
    Topics: World Models, Sequential Modeling.
    Research Advisor: Prof. Mingsheng Long.

Industry Experience

  1. Research Scientist: 2026.1 - Present.
    WAM Team Lead. Topics: Dexterous Manipulation, Video-Centric Generalist Policies, Robot Foundation Models.

Honors & Awards

  • [2026] Sensetime Scholarship (top 30 undergraduates nationwide)
  • [2025] Comprehensive Excellence Award of Tsinghua University
  • [2025] Spark Scientific and Technological Innovation Fellowship (top 1%, 30/3000+)
  • [2024] Outstanding Sports Scholarship of Tsinghua University
  • [2024] Comprehensive Excellence Award of Tsinghua University

Professional Services

Teaching Assistant

  • Introduction to Artificial Intelligence, Spring 2025. Instructor: Prof. Mingsheng Long.

Reviewer

Language

  • TOEFL: Total Score 117/120 (On First Trial, Speaking 30/30).
  • CET-4: 688/710, CET-6: 685/710.

Miscs

  • I love playing the piano and singing songs. I’m a member of Tsinghua University Chorus. I can also play the chinese flute quite well.
  • I’m also really into sports, especially basketball and running. I’m a member of the IIIS basketball team and a huge fan of the Golden State Warriors.
  • I love animals (especially dogs). My parents and I raised three lovely Poodles.
  • In high school, I was quite into Physics & Chemistry, and participated in Olympiad in Physics and Olympiad in Chemistry.
  • I am also a tech blogger, here’s a link to my blog website.


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