Xingdi Zhang (张星迪)
About Me
I am a Postdoctoral Researcher at King Abdullah University of Science and Technology (KAUST) and a member of the High-Performance Visualization Group, working with Prof. Markus Hadwiger.
I completed my Ph.D. in Computer Science at KAUST in 2025. My Ph.D. thesis focuses on observer-relative flow visualization, with a particular emphasis on real-time user interaction and high-performance rendering.
My primary interests: Real-Time Flow Visualization, High-Performance C++/CUDA (GPU) Computing, Differential Geometry and AI-driven Visual Computing.
Email: cindyzhang.yono531@gmail.com
Google Scholar
News
[Nov 2025]I have successfully defended my PhD thesis and will begin my postdoctoral research!
[Aug 2025] Our paper on 6D observer space interactions received an Honorable Mention for Best Paper at IEEE VIS 2025!
[Apr 2025] Our paper "Vortex Transformer" has been accepted to Eurographics 2025!
[Apr 2025] Our paper on enhancing material boundary visualizations has been accepted to EuroVis 2025!
[Oct 2023] Our paper "Vortex Lens" won the Best Paper Award at IEEE VIS 2023!
[Oct 2021] Our paper on interactive exploration of objective vortices received an Honorable Mention for Best Paper at IEEE VIS 2021!
Publications
Exploring 3D Unsteady Flow using 6D Observer Space Interactions
Xingdi Zhang, Amani Ageeli, Thomas Theußl, Markus Hadwiger, Peter Rautek
IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE VIS 2025)
To be released
Code
Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution
Peter Rautek, Xingdi Zhang, Bernhard Woschizka, Thomas Theussl, Markus Hadwiger
IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE VIS 2023)
An Interactive Exploration System for Physically-Observable Objective Vortices in Unsteady 2D Flow
Xingdi Zhang
Master's Thesis, King Abdullah University of Science and Technology (KAUST), 2021
I am glad that the thesis was reviewed by a very professional commitee: my supervisor Markus Hadwiger, and professors Helmut Pottmann and Ivan Viola.
Interactive Exploration of Physically-Observable Objective Vortices in Unsteady 2D Flow
Xingdi Zhang, Markus Hadwiger, Thomas Theußl, Peter Rautek
IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE VIS 2021)
Projects
PyFlowVis
CUDA-accelerated high-performance framework (hybrid C++/Python/CUDA) for real-time observer relative flow visualization.
- Compute: CUDA kernels for pathlines/flowmap/FTLE/Reference Freame Optimization; CPU fallback via numba and C++ (PyBind).
- Rendering: PyOpenGL backend for efficient real-time visualization.
Surface Normal ToolKit
Code for preprocessing Lidar data for paper Deep Surface Normal Guided Depth Prediction for Outdoor Secene from Sparce Lidar Data and Single Color Image.
A Method for Synthesizing High Dynamic Range Images
Chinese Patent CN108717690B - A method for synthesizing high dynamic range images using JPEG compression intermediate products as guidance for synthesis coding information.
Service
Volunteer Engineer: Vcc Open week (VR experience for flow visualization)
2021Journal Reviewer: Computers & Graphics
2022Conference Reviewer:IEEE VIS
2025TA: Data Science and Visual Analytics using javascript & D3.
2023TA:CS 380 - GPU and GPGPU Programming
2025Experience
Graphics Engine Developer
Jun 2022 - Jun 2023
Huawei Suomi (Tampere, Finland)
Working with ECS Engine system, water ripple rendering, gltf mesh optimizer, vertex animation texture baking, extend assimp (asset loading library), etc.