I am a third-year undergraduate student at Zhejiang University (Chu Kochen Honors College), majoring in Computer Science and Technology (expected B.Eng. 2027). I am currently a research intern at Tsinghua University, where I work with Prof. Luping Shi and Prof. Rong Zhao on model-based reinforcement learning and world models. Previously, I worked on continuous reasoning for large language models at Zhejiang University.
I am obsessed with one question: "What is the realizable path toward physical intelligence?"
My answer is to build Physically Consistent and 3D-Aware World Models as a foundation for physical intelligence.
Through my previous work on LM interpretability and continuous reasoning, I came to realize that today’s models achieve abstraction over text and 2D visual tokens, but these foundations are not enough for true spatial intelligence.
I believe the next generation of physical AI will require stronger 3D inductive biases, better spatial representations, and ultimately the ability to predict how the world changes after actions.
My long-term goal is to help turn AI into a physically grounded assistant beyond the screen.
News
[2025-2026] One paper submitted (under review with strong feedback).
[2025. 10] Started research at Tsinghua University on physical world models and RL exploration.
[2025. 10] Awarded First-Class Scholarship, Zhejiang University.
[2024. 10] Awarded National Scholarship (Top 0.5%) & First-Class Scholarship, Zhejiang University.
Publications
- Mind Dreamer: Untethering Imagination via Active Counterfactual Reasoning on Latent Manifolds [PDF]
Shaojun Xu, Xiaoling Zhou, Yihan Lin, Yapeng Meng, Xinglong Ji, Luping Shi, Rong Zhao
Competitions
- 2026 NVIDIA DGX Spark Hackathon
Project: ClawKeeper: Security Management & Work Monitoring System Based on NemoClaw
Xiaoling Zhou, Lei Hong, Yifeng Guan, Chengbo Sun, Haoyuan Chen
Details
