Faculty of Information Science and Technology
Division of System and Informatics
My name is Wang Xu. I am a Project Assistant Professor in the Intelligent Robots and Systems Laboratory at Hokkaido University, where I work under the supervision of Professors Atsushi Konno and Satoshi Kanai. I received my Ph.D. in Informatics from the University of Tsukuba, advised by Professors Makoto Fujisawa and Masahiko Mikawa. My research interests include physics-based simulation, XR technologies, image processing, style transfer, and related topics in computer graphics.
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University of TsukubaPh.D. in InformaticsApr 2020 - Sep 2023
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Tokyo University of TechnologyM.S. in Media ScienceApr 2018 - Mar 2020
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Shanghai UniversityB.S. in Information Management and Information SystemSep 2012 - Jul 2016
Experience
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Hokkaido UniversityProject Assistant ProfessorOct 2024 - present
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AdvanceSoftResearcherOct 2023 - Sep 2024
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Prometech SoftwareResearch InternApr 2023 - Sep 2023
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University of Tsukuba
Recommendation System LaboratoryResearch AssistantOct 2022 - Jan 2023 -
Konica MinoltaJob-oriented Research InternMar 2022 - May 2022
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University of Tsukuba
Physically-based Computer Graphics LaboratoryResearch AssistantSep 2020 - Feb 2022 -
Silicon StudioMiddleware Engineering InternJul 2018 - Dec 2018
Honors & Awards
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LayerX Award2024
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Pioneering Research Initiated by the Next Generation program (JST SPRING)2021 - 2023
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Monbukagakusho Honors Scholarship for Privately Financed International Students2019 - 2020
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Interdisciplinary Contest in Modeling Honorable Mention2015
News
Selected Publications (view all )
Extending Bonded DEM for Solid-Fluid Interaction: A Coupled BDEM-SPH Simulation Framework
Wei Cui*, Xu Wang*, Makoto Fujisawa (* equal contribution)
33th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG) 2025
We present a novel fully Lagrangian simulation framework that couples Bonded Discrete Element Method (BDEM) with Smoothed Particle Hydrodynamics (SPH) to simulate the complex interactions between elastic solids and fluids. While particle-based methods have shown success in fluid-solid interaction simulations, most existing approaches focus on rigid or granular materials. Our framework extends this capability to elastic solids that can undergo deformations, fracture, and topological changes. The BDEM component represents solids as particles connected by elastic bonds that can stretch, bend, shear, twist and break, while SPH handles fluid dynamics with free surface flows.
Extending Bonded DEM for Solid-Fluid Interaction: A Coupled BDEM-SPH Simulation Framework
Wei Cui*, Xu Wang*, Makoto Fujisawa (* equal contribution)
33th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG) 2025
We present a novel fully Lagrangian simulation framework that couples Bonded Discrete Element Method (BDEM) with Smoothed Particle Hydrodynamics (SPH) to simulate the complex interactions between elastic solids and fluids. While particle-based methods have shown success in fluid-solid interaction simulations, most existing approaches focus on rigid or granular materials. Our framework extends this capability to elastic solids that can undergo deformations, fracture, and topological changes. The BDEM component represents solids as particles connected by elastic bonds that can stretch, bend, shear, twist and break, while SPH handles fluid dynamics with free surface flows.
XProtoSphere: an eXtended Multi-Sized Sphere Packing Algorithm Driven by Particle Size Distribution
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
The Visual Computer (Computer Graphics International) 2023
We propose a novel PSD-driven technique that extends the ProtoSphere algorithm to achieve multi-sized sphere packing with distribution-specific characteristics, as dictated by a pre-defined cumulative distribution function. Our method improves the controllability and flexibility of the packing process, enabling users to generate packing configurations that meet their specific requirements.
XProtoSphere: an eXtended Multi-Sized Sphere Packing Algorithm Driven by Particle Size Distribution
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
The Visual Computer (Computer Graphics International) 2023
We propose a novel PSD-driven technique that extends the ProtoSphere algorithm to achieve multi-sized sphere packing with distribution-specific characteristics, as dictated by a pre-defined cumulative distribution function. Our method improves the controllability and flexibility of the packing process, enabling users to generate packing configurations that meet their specific requirements.
Visual Simulation of Soil-Structure Destruction with Seepage Flows
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
Proceedings of the ACM on Computer Graphics and Interactive Techniques (ACM SIGGRAPH / Eurographics Symposium on Computer Animation) 2021
This paper introduces a method for simulating soil-structure coupling with water, involving visual effects such as wet granular materials, seepage flows, capillary action between grains, and dam breaking simulation.
Visual Simulation of Soil-Structure Destruction with Seepage Flows
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
Proceedings of the ACM on Computer Graphics and Interactive Techniques (ACM SIGGRAPH / Eurographics Symposium on Computer Animation) 2021
This paper introduces a method for simulating soil-structure coupling with water, involving visual effects such as wet granular materials, seepage flows, capillary action between grains, and dam breaking simulation.