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  • Central South University.
  • Changsha, China

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Hey waving hand, I'm Jason Hu

Typing SVG

About me

  • ✨ Interested in Optimization Theory & Deep Learning
  • 🧰 Coding in MATLAB & Python
  • 🧊 Currently studying cutting-edge one-step generative modeling, focusing on diffusion and flow-based methods that transform noise distributions into data distributions with a single neural network evaluation

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  1. 2025_CUMCM_Problem_A 2025_CUMCM_Problem_A Public

    Mathematical modeling solution for CUMCM 2025 Problem A using PSO/PSO-DE optimization in MATLAB.

    MATLAB 2

  2. 2026_MCM_Problem_C 2026_MCM_Problem_C Public

    MCM 2026 Problem C solution for Dancing with the Stars voting: hidden fan-vote estimation, rule comparison, SHAP analysis, and LBG-Runoff design.

    Python 2

  3. Flow_Driven_Posterior_Sampling_for_Inverse_Problems Flow_Driven_Posterior_Sampling_for_Inverse_Problems Public

    FlowDPS reproduction and benchmark package for flow-based posterior sampling in inverse imaging.

    2

  4. Flower_A_Flow_Matching_Solver Flower_A_Flow_Matching_Solver Public

    Flower paper reproduction with metric tables, visual comparisons, and flow-matching solver analysis.

    2

  5. diffusion_toy_experiments diffusion_toy_experiments Public

    Use 2D distributions to validate generative modeling methods

    Python 3

  6. MeanFlow-Drifting-Model MeanFlow-Drifting-Model Public

    slides

    HTML 2