[中文]           

Xiaopei Liu

Associate (tenured) Professor @ ShanghaiTech University, China.
Researcher @ Chinese Academy of Science (CAS)
Ph.D. in Computer Science & Engineering @ The Chinese University of Hong Kong.

Contact:
Tel: +86-21-20685382
Email: liuxp shanghaitech.edu.cn
Address: Room 202.J, School of Information Science & Technology Building #2,
No. 393 Huaxia Middle Road, Pudong, Shanghai, China, 201210.

Introduction

　

Please visit FLARE Lab for more information.

　

Research Interests

  • Mesoscopic Computational Fluid Dynamics
  • Computer Graphics
  • Rendering/Visualization
  • Machine Learning
  • High-Performance Computing
  • Unmanned Aerial Vehicles

　

Collaborations

California Institute of Technology (USA)
Columbia University (USA)
Technical University of Munich (Germany)
Nanyang Technological University (Singapore)
Cranfield University (UK)
Chinese University of Hong Kong, (China)
Hong Kong Polytechnic University (China)
Zhejiang University (China)
West China Medical Center, Sichuan University (China)

　

Publications

Note: * indicates either students or research staffs supervising/supervised; ^ indicates corresponding author.

  • Xiaozhu Lin, Xiaopei Liu and Yang Wang,
    Learning Agile Swimming: An End-to-End Approach without CPGs,
    IEEE Robotics and Automation Letters (RA-L), 2025, revised, under review.
    　

  • Xiaoyu Xiao, Ding Lin, Yiheng Wu, Kai Bai and Xiaopei Liu^,
     Simulating Two-phase Fluid-rigid Interaction with an Overset-Grid Kinetic Solver,
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025, submitted, under review.
    　

  • Yihui Ma*, Xiaoyu Xiao*, Wei Li*, Mathieu Desbrun, and Xiaopei Liu^,
    Hybrid LBM-FVM Solver for Two-Phase Flow Simulation,
    Journal of Computational Physics (JCP),     accepted for publication, 2024.
    　

  • Kefei Wu*, Xuming He, Yang Wang, Xiaopei Liu^,
    Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations,
     IEEE International Conference on Robotics and Automation (ICRA 2024), accepted, 2024.
    　

  • Mengyun Liu* and Xiaopei Liu^,
    A Parametric Kinetic Solver for Simulating Boundary-Dominated Turbulent Flow Phenomena,
    ACM Transactions on Graphics (SIGGRAPH Asia 2023), 42(6),     Article 189, 2023.     [more]
    　

  • Xiaozhu Lin, Wenbin Song*, Xiaopei Liu, Xuming He, and Yang Wang,
    Exploring learning-based control policy for fish-like robots in altered background flows，
    2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Accepted, 2023.
    　

  • Chaoyang Lyu*, Kai Bai*, Yiheng Wu*, Mathieu Desbrun, Changxi Zheng, and Xiaopei Liu^,
    Building a Virtual Weakly-Compressible Wind Tunnel Testing Facility,
    ACM Transactions on Graphics (SIGGRAPH 2023), 42(4),     Article 125, 2023.     [more]
    　

  • Yangyang Zhao, Heng Zhang, Xiaopei Liu, and Yang Wang,
    Iteration Learning Control for Uncertain Nonlinear Systems with Time-Varying Output Constraint,
     World Congress of the International Federation of Automatic Control (IFAC 2023), accepted, 2023.
    　

  • Wei Li, Yihui Ma*, Xiaopei Liu, and Mathieu Desbrun,
         Efficient Kinetic Simulation of Two-Phase Flows,
    ACM Transactions on Graphics (SIGGRAPH 2022),     41(4), Article 114, 2022. [more]
    　

  • Wenji Liu*, Kai Bai*, Xuming He, Shuran Song, Changxi Zheng, and Xiaopei Liu^,
         FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning,
    IEEE International Conference on Robotics and Automation (ICRA 2022), accepted,     2022. [more]
    　

  • Long Gao*, Xiaocheng Song*, Xiaopei Liu, and Jie Lu,
    Learning-based Local Path Planning for UAV in Unknown Environments,
    European Control Conference (ECC 2022), accepted, 2022.
    　

  • Kai Bai*, Chunhao Wang*, Mathieu Desbrun, and Xiaopei Liu^,
    Predicting High-Resolution Turbulence Details in Space and Time,
    ACM Transactions on Graphics (SIGGRAPH Asia 2021), 40 (6), Article 201,     2021. [more]
    　

  • Chaoyang Lyu*, Wei Li*, Mathieu Desbrun, and Xiaopei Liu^,
    Fast and Versatile Fluid-Solid Coupling for Turbulent Flow Simulation,
    ACM Transactions on Graphics (SIGGRAPH Asia 2021), 40 (6), Article 200    , 2021. [more]
    　

  • Yixin Chen*, Wei Li*, Rui Fan, and Xiaopei Liu^,
    GPU Optimization for High-Quality Kinetic Fluid Simulation,
     IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021, accepted for publication. [more]
    　

  • Kai Bai*, Wei Li*, Mathieu Desbrun, and Xiaopei Liu^,
    Dynamic Upsampling of Smoke through Dictionary-based Learning    ,
    ACM Transactions on Graphics (TOG), 40 (1), Article 4, 2020, presented at SIGGRAPH 2021. [arXiv] [more]
    　

  • Wei Li*, Yixin Chen*, Mathieu Desbrun, Changxi Zheng, and Xiaopei Liu^,
    Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling,
    ACM     Transactions on Graphics (SIGGRAPH 2020), 39 (4), Article 47, 2020
    (video clip selected in the technical paper trailer, results selected to be the back cover of the journal). [more]
    　

  • Daoming Liu*, Chi Xiong, and Xiaopei Liu^,
    Vectorizing Quantum Turbulence Vortex-Core Lines for Real-Time Visualization    ,
    IEEE Transactions on Visualization and Computer Graphics (TVCG), accepted for publication, 2020. [arXiv] [more]
    　

  • Wei Li*, Daoming Liu*, Mathieu Desbrun, Jin Huang, and Xiaopei Liu^,
    Kinetic-based Multiphase Flow Simulation,
     IEEE Transactions on Visualization and Computer Graphics (TVCG), accepted for publication, 2020. [more]
    　

  • Xiaopei Liu^, Maneesh Mishra, Martin Skote, and Chi-Wing Fu,
    On Visualizing Continuous Turbulence     Scales    , 
    Computer Graphics Forum     (CGF, presented at EuroVis 2019), 38(1):300-315, 2019. [more]
    　

  • Wei Li*, Kai Bai*, and Xiaopei Liu^,
     Continuous-Scale Kinetic Fluid Simulation,
    IEEE Transactions on Visualization and Computer Graphics     (TVCG, presented at Pacific Graphics 2018), 25(9):2694-2709, 2018. [arXiv] [more]
    　

  • Wenbo Wang*, Yuwei Li, Feng Wang, Xiaopei Liu, and Youyi Zheng,
    Using Visualization to Improve Clustering Analysis on Heterogeneous Information Network    ,
    International Conference on Information Visualization     (ICIV), 2018, accepted.
    　

  • Yulong Guo*, Xiaopei Liu^, Chi Xiong, Xuemiao Xu, and Chi-Wing Fu,
     Towards High-quality Visualization of Superfluid Vortices,
    IEEE Transactions on Visualization and Computer Graphics (TVCG, presented at IEEE VIS 2018), 24(8):2440-2455, 2018. [arXiv] [more]
    　

  • Yulong Guo*, Xiaopei Liu^, and Xuemiao Xu,
     A Unified Detail-Preserving Liquid Simulation by Two-Phase Lattice Boltzmann Modeling,
    IEEE Transactions on Visualization and Computer Graphics (TVCG, presented at Pacific Graphics 2016), 23(5):1479-149, 2017. [more]
    　

  • Chih-Kuo Yeh, Jayaraman, P.K., Xiaopei Liu, Chi-Wing Fu, and Tong-Yee Lee,
     2.5D Cartoon Hair Modeling and Manipulation,
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 21 (3), 304-314, 2015.
    　

  • Chi Xiong, Michael RR Good, Yulong Guo*, Xiaopei Liu, and Kerson Huang,
     Relativistic superfluidity and vorticity from the nonlinear Klein-Gordon equation,
    APS Physical Review D     (PRD) 90 (12), 125019, 2014. [highlight]
    　

  • Maneesh Mishra, Xiaopei Liu, Martin Skote, and Chi-Wing Fu,
     Kolmogorov spectrum consistent optimization for multi-scale flow decomposition,
    AIP Physics of Fluids     (POF) 26 (5), 055106, 2014.
    　

  • Xiaopei Liu^, Wai-Man Pang, Jing Qin, and Chi-Wing Fu,
     Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling,
    IEEE Transactions on Visualization and Computer Graphics     (TVCG), 20(2):289-302, 2014.
    　

  • Peng Song, Wooi Boon Goh, William Hutama, Chi-Wing Fu, and Xiaopei Liu,
     A handle bar metaphor for virtual object manipulation with mid-air interaction,
    Proceedings of the SIGCHI Conference on Human Factors in Computing Systems    , 10:1297-1306, 2012.
    　

  • Xiaopei Liu^, Lei Jiang, Tien-Tsin Wong, and Chi-Wing Fu,
     Statistical Invariance for Texture Synthesis,
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 99, 1-1, 2012.
    　

  • Liang Wan, Xiaopei Liu, Tien-Tsin Wong, and Chi-Sing Leung,
     Evolving Mazes from Images,
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 16 (2), 287-297, 2010. [more]
    　

  • Xiaopei Liu, Liang Wan, Xuemiao Xu, Tien-Tsin Wong, and Chi-Sing Leung,
    Interactive Image Morphing Using Thin-Plate Spline,
    Shader X7    : Advanced Rendering Techniques, Charles River Media, 2009, 743-752.
    　

  • Xuemiao Xu, Liang Wan, Xiaopei Liu, Tien-Tsin Wong, Liansheng Wang, and Chi-Sing Leung,
     Animating Animal Motion from Still,
    ACM Transactions on Graphics     (SIGGRAPH Asia 2008), 27 (5), 117, 2008. [more]
    　

  • Xiaopei Liu, Liang Wan, Yingge Qu, Tien-Tsin Wong, Stephen Lin, Chi-Sing Leung, and Pheng-Ann Heng,
     Intrinsic Colorization,
    ACM Transactions on Graphics     (SIGGRAPH Asia 2008), 27 (5), 152, 2008. [more]
    　

  • Huiqiong Wang, Stephen Lin, Xiaopei Liu, and Sing Bing Kang,
     Separating Reflections in Human Iris Images for Illumination Estimation,
    IEEE International Conference on Computer Vision     (ICCV), 2:1691-1698, 2005.


　

Teaching

  • Computer Graphics I, Fall, 2023.
  • Computer Animation and Physical Simulation, Spring, 2023.
  • Computer Graphics I, Fall, 2022.
  • Computer Animation and Physical Simulation, Spring, 2022.
  • Computer Graphics I, Fall, 2021.
  • Computer Graphics I, Spring, 2021.
  • Computer Animation and Physical Simulation, Fall, 2020.
  • Computer Graphics I, Spring, 2020.
  • Introduction to Programming, Fall, 2019.
  • Computer Animation and Physical Simulation, Fall, 2018.
  • Computer Graphics I, Spring, 2018.
  • Computer Animation and Physical Simulation, Spring, 2017.
  • Computer Graphics II (Advanced Computer Graphics), Fall, 2016.
  • Operating Systems, Spring, 2016.
  • GPU-based Parallel Computing and Its Applications, Fall, 2015.