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  • HKUST
  • HONG KONG

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ydcnanhe/README.md
  • 👋 Hi, I’m Yudong He
  • 👀 I’m interested in AI, machine learning, and signal processing. especially clustering, compressed sensing, and speech separation, also known as the cocktail party problem.
  • 🌱 I obtained my Ph.D. at the Hong Kong University of Science and Technology (HKUST) in 2022. Before I obtained a bachelor's degree in physics from the University of Science and Technology of China (USTC) in 2017.
  • 💞️ I have done my 3-year postdoc at HKUST. I look forward to finding a faculty or postdoc position in summer 2025.
  • 📫 You can contact me through this email - yhebh@connect.ust.hk.

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  1. codes-icassp-2022 codes-icassp-2022 Public

    Fast & analytical blind source separation algorithm to separate any number of sources using two microphones

    MATLAB 12 1

  2. Imbalanced-Data-Clustering-using-Equilibrium-K-Means Imbalanced-Data-Clustering-using-Equilibrium-K-Means Public

    This repository contains datasets and codes for reproducing the results in our paper.

    Python 2

  3. demo-icassp2022 demo-icassp2022 Public

    This repository contains the demo, i.e., separated audio signals, of our paper submitted to ICASSP 2022.

    HTML 1

  4. sklearn-ekmeans sklearn-ekmeans Public

    This repo is built for a sklearn related project to implement equilibrium k-means, a variant of k-means effecitive for imbalanced data clustering

    Python

  5. ydcnanhe.github.io ydcnanhe.github.io Public

    Yudong's personal website

    HTML