Xingchang Huang

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About

I am currently a final-year Ph.D. student at Max Planck Institute for Informatics, advised by Gurprit Singh and Hans-Peter Seidel.
Previously, I did my master at ETH Zurich, where I have worked with Byungsoo Kim, Guillaume Cordonnier, Barbara Solenthaler. I did my bachelor at Sun Yat-sen University, advised by Yanghui Rao and Ming Li.

My research focus on machine learning for visual content

I am looking for industrial research scientist/engineer opportunities, starting from late 2025.

Other experiences

  • 10/2024: Demo "Blue noise for diffusion models" @ VIA-Center and Google demo day.
  • 07/2024: Presentation "Blue noise for diffusion models" @ SIGGRAPH 2024 in Denver.
  • 05/2024: Invited demo @ CYENS Centre of Excellence / Eurographics 2024 in Cyprus.
  • 04/2024: Presentation @ Saarbrücken Research Center for Visual Computing, Interaction and AI (VIA).
  • 08/2023: Presentation "Patternshop: Editing Point Patterns by Image Manipulation" @ SIGGRAPH 2023 in Los Angeles.
  • 07/2022: Presentation "Point-Pattern Synthesis using Gabor and Random Filters" @ EGSR 2022 in Prague.
  • 06/2022: Invited talk "Discovering point-pattern structure for synthesis and editing" @ GeoVISTA in Paris.
  • 02/2025: Reviewer @ IJCAI 2025.
  • 11/2024: Program Committee Member @ Computational Visual Media 2025.
  • 11/2024: Reviewer @ ICLR 2025.
  • 05/2024: Reviewer @ SIGGRAPH Asia 2024.
  • 10/2023: Reviewer @ Eurographics 2024.
  • 02/2025: Research Intern @ NII Tokyo hosted by Prof. Shin'ichi Satoh.
  • 09/2023: Research Collaboration with VIA-Center/Google/Deepmind.
  • 09/2020: Research Intern @ Max Planck Institute for informatics Sampling and Rendering group.
  • 07/2018: MLE Intern @ a Swiss startup.
  • 06/2016: Research Intern @ SYSU-CMU Joint Institute of Engineering.

    • Publications

    Online Importance Sampling for Stochastic Gradient Optimization

    Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy Mitra, Gurprit Singh

    ICPRAM (full paper), 2025

    [Arxiv] [Best student paper award]

    Multiple Importance Sampling for Stochastic Gradient Estimation

    Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy Mitra, Gurprit Singh

    ICPRAM (short paper), 2025

    [Arxiv]

    Blue noise for diffusion models

    Xingchang Huang, Corentin Salaün, Cristina Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh

    SIGGRAPH (Conference Proceedings), 2024

    [Project webpage] [Graphics replicability stamp]

    Patternshop: Editing Point Patterns by Image Manipulation

    Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh

    SIGGRAPH (ACM Transactions on Graphics), 2023

    [Project webpage]

    Point-Pattern Synthesis using Gabor and Random Filters

    Xingchang Huang, Pooran Memari, Hans-Peter Seidel, Gurprit Singh

    Eurographics Symposium on Rendering (Computer Graphics Forum), 2022

    [Project webpage]

    Deep Reconstruction of 3D Smoke Densities from Artist Sketches

    Byungsoo Kim, Xingchang Huang, Laura Wuelfroth, Jingwei Tang, Guillaume Cordonnier, Markus Gross, Barbara Solenthaler

    Eurographics (Computer Graphics Forum), 2022

    [Project webpage]

    Sketch-Based 4D Prototyping for Smoke Simulations

    Examiner: Byungsoo Kim, Markus Gross

    Master Thesis at ETH Zurich, 2020

    [Paper]

    Continual learning of a mixed sequence of similar and dissimilar tasks

    Zixuan Ke, Bing Liu, Xingchang Huang

    Advances in Neural Information Processing Systems (NeurIPS), 2020

    [Paper] [Supplemental] [Code]

    Facial Expression Recognition with Identity and Emotion Joint Learning

    Ming Li, Hao Xu, Xingchang Huang, Zhanmei Song, Xiaolin Liu, Xin Li

    IEEE Transactions on Affective Computing (TAC), 2018

    [Paper] [Code]

    Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost

    Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang

    AAAI Conference on Artificial Intelligence (AAAI poster), 2017

     

    Projects

    Text-to-image/video

    [diffusion_from_scratch]



    Interactive image generation

    [reflow-dit] [simple-consistency-models]



    Point/noise/texture pattern synthesis

    [point pattern] [multiclass disk pattern] [neural texture] [non-stationary texture]



    Extension of Nori2 ray tracer (at ETH Zurich)

    [Course webpage] [Report]



    Real-Time High Quality Rendering (online by Prof. Lingqi Yan)

    [Course webpage] [Demos: pcss, ssdgi, rtrt, bluenoise, SH]