Published multiple papers, including but not limited to:
- A series of works on WM, LLM, Agents accepted by NeurIPS 2025.
- A comprehensive survey of world models published in ACM Computing Surveys.
- A human-machine collaborative intelligent urban planning framework driven by large language models published in Nature Computational Science.
- Research on urban food delivery services as an extreme-heat adaptation strategy published in Nature Cities.
- A deep learning resilience inference method for complex networked systems published in Nature Communications.
- A spatial planning method for urban communities via deep reinforcement learning featured on the cover of Nature Computational Science.
- A study on low-carbon deployment and sustainable development of 5G mobile networks published in Nature Sustainability.
- Research revealing the emergence mechanism of information cocoons through adaptive information dynamics published in a Nature journal.
Research Experience
Member of the Urban Science and Computation Research Center at the Department of Electronic Engineering, Tsinghua University, involved in several studies related to world models, large language models, and agent-driven urban planning frameworks.
Education
Not Provided
Background
Research interests include the frontiers of artificial intelligence and data science, inventing cutting-edge large foundation models and applying machine learning to model, generate, simulate, and control large, complex systems across multiple scales including robotics, drones, and human in both indoor and open environments, physical space, digital world, and society. Emphasis is on interdisciplinary integration and large-scale system modeling.