IntelLiSim Lab

John Hopcroft Center for Computer Science, Shanghai Jiao Tong University

IntelliSim Lab is dedicated to breaking down the boundaries between underlying physical laws and cutting-edge artificial intelligence. Supported by a robust academic and engineering foundation, we construct high-precision digital mappings of the complex physical world.

The lab focuses deeply on hardcore physical simulation and physics-based intelligence. In the fields of single/multiphase flows, phase transition mechanisms, and complex fluid-solid coupling, we have developed high-performance, multi-scale underlying computational frameworks. Simultaneously, our team deeply integrates rigorous physical principles with deep learning to empower the evolution of virtual embodied agents. Building on this foundation, we are comprehensively advancing cutting-edge interdisciplinary applications, including AI for Science (e.g., multi-scale and aerodynamic simulations of advanced materials and quantum computing for CFD), Embodied AI, and the deep integration of World Models and Physical Simulation.

We are looking for highly motivated students or researchers to join IntelLiSim Lab, including:

  1. One Postdoc;
  2. Visiting students;
  3. Research Assistants.

news

Oct 01, 2026 πŸŽ‰ Our paper BubbleGym: A Practical Shape-to-Frequency Model for Acoustic Bubbles has been accepted to SIGGRAPH Asia 2026! β€” more details coming soon.
Apr 27, 2026 πŸŽ‰ Our paper Volume-Preserving LBM-MPM Coupling for Air-Water-Sand Mixtures has been accepted to SIGGRAPH 2026! β€” more details coming soon.
Apr 27, 2026 πŸŽ‰ Our course Fluid Simulation with the Lattice Boltzmann Method has been accepted to SIGGRAPH 2026 Courses! β€” more details coming soon.
Aug 01, 2025 πŸŽ‰ Our paper Kinetic Free-Surface Flows and Foams with Sharp Interfaces has been accepted to SIGGRAPH Asia 2025!
Jul 01, 2025 πŸŽ‰ Our paper Learning to Control Free-Form Soft Swimmers has been accepted to NeurIPS 2025!

selected publications

  1. SIGGRAPH Asia
    ZKWD_siga26.jpg
    BubbleGym: A Practical Shape-to-Frequency Model for Acoustic Bubbles
    Zhehao Li, Kui Wu, Wei Li, and 1 more author
    In SIGGRAPH Asia 2026 Conference Papers (SA Conference Papers ’26), 2026
  2. SIGGRAPH Course
    lbm_course.jpg
    Fluid Simulation with the Lattice Boltzmann Method
    Wei Li, Chaoyang Lyu, Mengyun Liu, and 4 more authors
    ACM SIGGRAPH 2026 Course, 2026
  3. SIGGRAPH
    XWYDL_sig26.jpg
    Volume-Preserving LBM-MPM Coupling for Air-Water-Sand Mixtures
    Xiaoyu Xiao, Haoxiang Wang, Xiaokang Yang, and 2 more authors
    ACM Transactions on Graphics (SIGGRAPH), 2026
    accepted for publication
  4. SIGGRAPH Asia
    pub_siga25.png
    Kinetic Free-Surface Flows and Foams with Sharp Interfaces
    Haoxiang Wang, Kui Wu, Hui Qiao, and 2 more authors
    ACM Transactions on Graphics (SIGGRAPH Asia), 2025
    accepted for publication
  5. NeurIPS
    pub_nips25.png
    Learning to Control Free-Form Soft Swimmers
    Changyu Hu, Yanke Qu, Qiuan Yang, and 4 more authors
    NeurIPS, 2025
  6. SIGGRAPH
    pub_sig24.jpg
    Kinetic Simulation of Turbulent Multifluid Flows
    Wei Li, Kui Wu, and Mathieu Desbrun
    ACM Transactions on Graphics (SIGGRAPH), 2024
  7. SIGGRAPH Asia
    pub9.jpg
    High-Order Moment-Encoded Kinetic Simulation of Turbulent Flows
    Wei Li, Tongtong Wang, Zherong Pang, and 3 more authors
    ACM Transactions on Graphics (SIGGRAPH Asia), 2023
  8. SIGGRAPH
    pub3.png
    Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling
    Wei Li, Yixin Chen, Mathieu Desbrun, and 2 more authors
    ACM Transactions on Graphics (SIGGRAPH), 2020