[English]           

刘晓培

教授 (终身) @ 上海科技大学 信息科学与技术学院
研究员 @ 中国科学院
计算机科学与工程 博士
@ 香港中文大学

联系方式:
电话:
+86-21-20685382
电子邮件: liuxp shanghaitech.edu.cn
地址: 中国上海浦东新区华夏中路393号上海科技大学信息科学与技术学院2号楼
202.J室,邮编
201210

简介

  • 我的研究聚焦于基于物理的仿真、计算机图形学、机器人与机器学习的交叉领域。核心研究围绕介观动理学方法下高性能流体仿真的基础理论与工程应用问题展开,研究内容涵盖动态流体刚体运动耦合、边界层建模,以及针对上述系统的降阶建模技术,旨在解决飞行器、水下航行器、水面机器人等强流固耦合平台的外形设计评估与优化、运动控制与智能决策难题。同时,我搭建大规模并行计算框架,提升整套仿真管线的计算吞吐效率,依托统一多尺度“仿真到现实(Sim2Real)”范式,研发面向流体交互型智能机器人系统的前沿技术。

    我已在计算机图形学、计算流体力学、科学可视化、控制学习与机器人领域发表一些列高水平学术论文。作为项目负责人,我主持多项国家级科研项目,包括国家自然科学基金青年项目、面上项目,以及科技部国家科技重大专项子课题;同时参与多项地方资助课题,如上海市科委科技创新行动计划基础研究领域项目、香港创新及科技基金(ITF)项目等。
     
  • 所属机构: 视觉与数据智能中心 自动化与机器人中心 @ 信息科学与技术学院
  • 香港中文大学 计算机科学与工程 博士
  • 新加坡南洋理工大学 计算机科学与工程 研究员
  • 上海科技大学 助理教授 / 中国科学院 研究员
  • 上海科技大学 副教授 / 中国科学院 研究员 (现在)
  • ACM/IEEE 会员

 

请访问 FLARE实验室 以获取更多信息。

 

研究兴趣

  • 计算流体动力学
  • 降阶模型
  • 计算机图形学
  • 无人流体交互系统
  • 机器学习与最优控制
  • 分布式高性能计算

 

合作机构

加州理工学院 (美国)
哥伦比亚大学 (美国)
慕尼黑工业大学 (德国)
南洋理工大学 (新加坡)
克兰菲尔德大学 (英国)
香港中文大学 (中国)
香港理工大学 (中国)
浙江大学 (中国)
四川大学华西医学中心 (中国)

 

发表论文

注: * 代表正在或者曾经指导的学生或研究人员; ^代表通讯作者; CCF代表中国计算机协会。

  • Yiheng Wu*, Kai Bai*, Xiaopei Liu^,
    An Extended Full GKS Formulation for High-Efficiency and Low-Memory Two-Phase Flow Simulation
    ,
    ACM Transactions on Graphics (SIGGRAPH 2026), 45(4), Article 80, 2026. (CCF-A 期刊+会议)

  • Zike Xu*, Xuan Zhang*, Xiaopei Liu^,
    Kinetic Predicted-Moment Flux Reconstruction for High-Order High-Performance Fluid Simulation
    ,
    ACM Transactions on Graphics (SIGGRAPH 2026), 45(4), Article 67, 2026. (CCF-A 期刊+会议)

  • Xu Huang, Xiaozhu Lin*, Xiaopei Liu, Yang Wang^,
    Agile and Controllable Omnidirectional Fast-start Maneuvers of Robotic Fish via Bio-inspired Reinforcement Learning
    ,
    IEEE International Conference on Robotics and Automation (ICRA 2026), accepted, 2026.

  • Jiwei Wang*, Wenbin Song*, Yichen Fan, Yang Wang^, Xiaopei Liu^,
    A Highly-Efficient Hybrid Simulation System for Flight Controller Design and Evaluation of Unmanned Aerial Vehicles, ACM Transactions on Graphics (SIGGRAPH Asia 2025), 44(6), Article 198, 2025. (Best Paper Honorable Mentions Award) [more] (CCF-A 期刊+会议)

  • Lin Ding* and Xiaopei Liu^,
    A Hybrid LBM-FVM Solver for Simulating Multiphase Multi-component Fluids
    , IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025, accepted for publication. (CCF-A 期刊)

  • Kaitian Chao, Xiaozhu Lin, Xiaopei Liu, Yang Wang^,
    Learning Flow-Adaptive Dynamic Model for Robotic Fish Swimming in Unknown Background Flow
    , 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), Accepted, 2025.

  • Pavel Kharitenko*, Xiaopei Liu, Yang Wang^,
    A Spatiotemporal Downwash Modeling for Agile Close-Proximity Multirotor Flight
    , 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), Accepted, 2025.

  • Wenbin Song*, Heng Zhang, Yang Wang^, Xiaopei Liu^,
    Creating Fluid-Interactive Virtual Agents by an Efficient Simulator with Local-domain Control, ACM Transactions on Graphics (SIGGRAPH 2025), 44(4), Article 103, 2025. (video clip selected in the technical paper trailer) [more] (CCF-A 期刊+会议)

  • Mengyun Liu*, Kai Bai*, Xiaopei Liu^,
    A Hybrid Near-wall Model for Kinetic Simulation of Turbulent Boundary Layer Flows, ACM Transactions on Graphics (SIGGRAPH 2025), 44(4), Article 148, 2025. [more] (CCF-A 期刊+会议)

  • 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, accepted for publication. (CCF-A 期刊)

  • Xiaozhu Lin, Xiaopei Liu and Yang Wang^,
    Learning Agile Swimming: An End-to-End Approach without CPGs
    , IEEE Robotics and Automation Letters (RA-L), vol. 10, no. 2, pp. 1992-1999, 2025.

  • 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), Vol. 506, 112920
    , 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] (CCF-A 期刊+会议)

  • 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. (video clip selected in the technical paper trailer) [more] (CCF-A 期刊+会议)

  • 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] (CCF-A 期刊+会议)

  • 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] (CCF-A 期刊+会议)

  • 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. (video clip selected in the technical paper trailer) [more] (CCF-A 期刊+会议)

  • 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] (CCF-A 期刊)

  • 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, to be presented at SIGGRAPH 2021. [arXiv] [more] (CCF-A 期刊)

  • 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] (CCF-A 期刊+会议)

  • 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] (CCF-A 期刊)

  • 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] (CCF-A 期刊)

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

  • 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] (CCF-A 期刊)

  • 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] (CCF-A 期刊)

  • 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] (CCF-A 期刊)

  • 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. (CCF-A 期刊)

  • 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. (CCF-A 期刊)

  • 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. (CCF-A 会议)

  • 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. (CCF-A 期刊)

  • 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] (CCF-A 期刊)

  • 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] (CCF-A 期刊+会议)

  • 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] (CCF-A 期刊+会议)

  • 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 2005), 2:1691-1698, 2005. (CCF-A 会议)

 

教学

  • 计算机动画及物理仿真季,2026.
  • 计算机图形学 I, 季, 2025.
  • 计算机动画及物理仿真季,2025.
  • 计算机图形学 I, 季, 2024.
  • 计算机动画及物理仿真季,2024.
  • 计算机图形学 I, 季, 2023.
  • 计算机动画及物理仿真季,2023.
  • 计算机图形学 I, 季, 2022.
  • 计算机动画及物理仿真季,2022.
  • 计算机图形学 I, 季, 2021.
  • 计算机图形学 I, 春季, 2021.
  • 计算机动画及物理仿真,秋季,2020.
  • 计算机图形学 I, 春季, 2020.
  • 计算机编程,秋季,2019.
  • 计算机动画及物理仿真,秋季,2018.
  • 计算机图形学 I, 春季, 2018.
  • 计算机动画及物理仿真, 春季, 2017.
  • 计算机图形学 II (高级计算机图形学), 秋季, 2016.
  • 操作系统, 春季, 2016.
  • 基于GPU的并行计算及其应用, 秋季, 2015.