[ÖÐÎÄ]
Introduction
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I am doing research
on fundamental problems of
high-performance fluid flow simulations for complex phenomena
by mesoscopic kinetic method, with one-way and two-way coupling to both
dynamic rigid and
deformable solids, as well as their large-scale
distributed parallel computing, visualization
and rendering, with applications to computer-aided design and
engineering, computer graphics, virtual reality, medical
diagnosis, geometric optimization, scientific visualization, as well as
virtual robot training. I am also interested in machine learning
techniques applied to all of the above areas, and conducting
research on simulation-based small UAV design and autonomous
navigation.
¡¡
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Affiliation:
Visual & Data
Intelligence Center
@
School of Information Science
&
Technology
-
Ph.D. in Computer Science
&
Engineering,
Department of Computer Science
&
Engineering,
The Chinese University of Hong Kong
-
Research Fellow
@
School of Computer Science and Engineering,
Nanyang Technological University, Singapore
-
Assistant Professor
@
ShanghaiTech University / Researcher @
Chinese Academy of Science,
China
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Associate Professor
@
ShanghaiTech University / Researcher @
Chinese Academy of Science,
China (Present)
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Members of ACM/IEEE
¡¡
Please visit
FLARE
Lab for more information.
¡¡
Research
Interests
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Mesoscopic Computational Fluid
Dynamics
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Computer Graphics
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Rendering/Visualization
-
Machine Learning
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High-Performance Computing
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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.
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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] ¡¡
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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. ¡¡
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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] ¡¡
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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] ¡¡
Xiaocheng Song*,
Xiaopei Liu, and Jie Lu,
Dynamic Local
Laplacian Potential Field for UAV Navigation in Unknown
Environments,
submitted to IEEE
Transactions on
Control System Technology
(TCST),
2020. ¡¡
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
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Computer
Graphics I, Fall, 2023.
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Computer
Animation and Physical Simulation, Spring, 2023.
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Computer
Graphics I, Fall, 2022.
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Computer
Animation and Physical Simulation, Spring, 2022.
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Computer
Graphics I, Fall, 2021.
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Computer
Graphics I, Spring, 2021.
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Computer
Animation and Physical Simulation, Fall, 2020.
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Computer
Graphics I, Spring, 2020.
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Introduction
to Programming, Fall, 2019.
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Computer
Animation and Physical Simulation, Fall, 2018.
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Computer
Graphics I, Spring, 2018.
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Computer
Animation and Physical Simulation, Spring, 2017.
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Computer
Graphics II (Advanced Computer Graphics), Fall, 2016.
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Operating
Systems, Spring, 2016.
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GPU-based
Parallel Computing and Its Applications, Fall, 2015.
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