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  • 👋 Hi, I’m @Hakim Fang from Shanghai University, admitted to CS Ph.D. joint program of Zhejiang University & Westlake University.
  • 👀 I’m interested in Generative Models, especially Diffusion Models.
  • 🌱 I’m currently working on Video Generation Models based on Diffusion Models.
  • 📫 How to reach me [email protected]

Publication

  1. J. Yang, X. Fang and Q. Pei, "Relationship between the Difficulty of Words and its Distribution of Numbers of Tries in Wordle," 2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), Guangzhou, China, 2023, pp. 137-141, doi: 10.1109/ICECAI58670.2023.10176549.
  2. X. Fang, "Robust Image Classification with Grayscale Sequence: A VGG-ML Fusion Model for X-Ray Pneumonia Images," 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2023, pp. 350-354, doi: 10.1109/ICSIP57908.2023.10270988.

Hakim's Projects

biometrics icon biometrics

This repository contains the codebase for the WSB2023 assignment and Nippon Software Cup. It includes implementations of Face, Handpose, and Bodypose Recognition using OpenCV and OpenPose.

machine_learning icon machine_learning

This repository contains my code for Machine Learning Basic and Advancement, as well as Pattern Recognition courses at SHU.

svd_decompd. icon svd_decompd.

Decomposing SVD Pipeline into submodules similar to Tune-A-Video codebase. Feel free to modify and improve the architecture of SVD Pipeline for your research based on our codebase.

vgg-ml icon vgg-ml

[ICSIP 2023, EI] Robust Image Classification with Grayscale Sequence: A VGG-ML Fusion Model for X-Ray Pneumonia Images

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