Xuchuan Huang | ้ป„ๅ™ๅท

I am a junior at Yuanpei College of Peking University. I am advised by Prof. Yaodong Yang at PAIR Lab and PKU-Psibot Joint Lab. I am also a research assistant at NUS LinS Lab, advised by Prof. Lin Shao. My current research interests lie in embodied AI, especially dexterous manipulation, with the goal of building general-purpose embodied agents capable of completing diverse tasks in real world. I am always enthusiastic about exploring new ideas and opportunities. Feel free to reach out if you'd like to connect or collaborate! ๐Ÿคฉ

E-mail  /  Github /  WeChat Account


profile photo

Research
* equal contribution



ManiLadder: Benchmarking Manipulation Intelligence Frontier via a Categorized and Multi-Level Task Ladder

Xuchuan Huang*, Chongkai Gao*, Jieao Shi*, Zhaoyu Mu*, Boren Zheng, Zhuoran Li, Nga Teng Chan, Lin Shao
Project Page

We introduce ManiLadder, a large-scale simulation benchmark designed to quantitatively assess progress in robotic manipulation intelligence and capacity. It turns "How difficult a task can my algorithm solve?" into a measurable ladder to climb.




A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

Yifan Zhong*, Fengshuo Bai*, Shaofei Cai, Xuchuan Huang, Zhang Chen, Xiaowei Zhang, Yuanfei Wang, Shaoyang Guo, Tianrui Guan, Ka Nam Lui, Zhiquan Qi, Yitao Liang, Yuanpei Chen, Yaodong Yang
Project Page / Paper

We observe that current VLA models can be unified under a single framework: vision and language inputs are processed by a series of VLA modules, producing a chain of action tokens that progressively encode more grounded and actionable information, ultimately generating executable actions.




DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping

Yifan Zhong*, Xuchuan Huang*, Ruochong Li, Ceyao Zhang, Yitao Liang, Yaodong Yang, Yuanpei Chen
AAAI'2026 Oral Presentation.
Project Page / Paper / Code / Video GitHub Repo stars

DexGraspVLA is a hierarchical framework for general-purpose dexterous grasping, which achieves over 90% zero-shot success in diverse real-world scenarios.




TerraX: Visual Terrain Classification Enhanced by Vision-Language Models

Hongze Li*, Xuchuan Huang*, Xinhai Chang*, Jun Zhou, Huijing Zhao
IROS'2025 Oral Presentation.
Project Page

TerraX is a vision-language framework for terrain classification, featuring the TerraData dataset, TerraBench benchmark, and TerraCLIP model.




ProgressGym: Alignment with a Millennium of Moral Progress

Tianyi Qiu*, Yang Zhang*, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang
NeurIPS'2024 Spotlight, Dataset & Benchmark Track.
Paper / Code / Documentation / Hugging Face

To empower progress alignment, ProgressGym is a benchmark for training AI to track, predict, and co-evolve with human moral progress.

Thanks to some surprising and fortunate collaborations, I've also been involved in a few projects in political science and computational social science, which offered a quite refreshing experience! ๐Ÿ˜ƒ



When Chinese Social Media Meet the Israeli Palestinian Conflict: Opinion Leaders, Moral Emotions, and Cultural Distance

Cheng Tan, Xuchuan Huang, Zijie Yu, Yanjun Liu
NCA 2025.
Grand Prize in 32nd Challenge Cup of PKU.
1st Prize in National Undergraduate Honors College Student Research and Innovation Competition.

We analyze over 130,000 Weibo comments on the 2023 Israel-Palestine conflict to examine how public opinion forms and spreads in Chinese social media. It reveals how factors like verified accounts, moral framing, and cultural similarity shape sentiment dynamics in Chinese online discourse.




Global Emotions and Imaginations around Black Myth: Wukong: A Multilingual Analysis of Over 90, 000 Tweets

Cheng Tan, Xuchuan Huang, Zijie Yu, Yanjun Liu

We analyze 92,000+ multilingual tweets about Black Myth: Wukong to uncover how cultural, political, and emotional interpretations vary across linguistic communities. Using sentiment analysis and topic modeling, it highlights the complexities of global cultural exchange and digital geopolitics.


Services

  • Reviewer: ICRA 2026
  • Teaching Assistant: Fundamentals of Artificial Intelligence (Spring 2025, by Prof. Ge Li)
  • Teaching Assistant: Introduction to Computation (Autumn 2024, by Prof. Ge Li)
  • Teaching Assistant: Innovative Design of Internet Products (Spring 2023, in Yuanpei College)

  • Experience

    PKU-PsiBot Joint Lab
    2024.10 - Present
    Research Intern
    Work with: Yuanpei Chen
    Supervised by: Yaodong Yang
    Peking University (PKU)
    2022.09 - Present
    Undergraduate Student
    Major: Data Science and Artificial Intelligence

    Selected Awards

  • 2024: Beijing Natural Science Foundation for undergraduates
  • 2024: Peking University Tan Siu Lin Oversea Exchange Endowment For Undergraduates
  • 2024: First Prize in National Undergraduate Honors College Student Research and Innovation Competition
  • 2024: First Prize in Jiang Zehan Cup Mathematical Modelling Competition
  • 2024: Grand Prize in 32nd Challenge Cup of Peking University
  • 2022: Peking University Freshman Scholarship

  • Miscellaneous

  • Iโ€™ve been practicing Chinese brush calligraphy ๐Ÿ–Œ for many years, with a particular love for regular script and clerical script in the style of Yan Zhenqing (้ขœ็œŸๅฟ). Iโ€™ve been fortunate to receive several awards in calligraphy competitions ๐Ÿ….

  • Iโ€™m also an avid music listener ๐ŸŽง and an admirer of Vae Xu (่ฎธๅตฉ) ๐Ÿ’ซ.

  • In my free time, I enjoy watching films ๐ŸŽฌ, traveling โœˆ๏ธ, and hiking โ›ฐ๏ธ.

  • This homepage is designed based on Jon Barron's website.