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ChiShengChen/README.md

Hi there πŸ‘‹, I'm Michael Chi-Sheng Chen

Co-founder @ Neuro Industry & Ising Research | AI Researcher | Time-Series + Biomedical AI + Quantum ML
Harvard Medical School & BIDMC, ex-MediaTek, ex-Max Planck Institute
Passionate about transforming data into intelligence 🧠⚑️


πŸš€ About Me

  • πŸ§ͺ Researcher at Harvard Medical School & BIDMC (AI x Surgical Informatics).
  • 🧠 Co-founder of Neuro Industry, building the EEG Foundation Model (AI x EEG x Psychiatry).
  • πŸ” DeFAI Researcher at Ising Research (AI x DeFi x Finance).
  • 🌱 Currently exploring Quantum Machine Learning, Quant Finance, DeFAI and Brain-Computer Interfaces.
  • πŸŽ“ My research publications are listed on Google Scholar.
    Google Scholar

πŸ“Œ Pinned Projects

πŸ–ΌοΈ Computer Vision

  • Res-VMamba
    Stars
    Fine-grained food classification using state space models with residual learning.

🧠 EEG & Multimodal AI

  • MUSE EEG
    Stars
    Mind’s Eye: EEG-based image recognition using multimodal similarity-keeping contrastive learning.

βš›οΈ Quantum Machine Learning (QML)

  • Quantum MNIST Diffusion
    Stars
    Quantum-enhanced diffusion models for image generation, bridging medical imaging and quantum computing.
  • QEEGNet
    Stars
    Hybrid quantum-classical encoder model for EEG representation learning.

🧬 Classical Diffusion & Image Generation

  • Necomimi
    Stars
    EEG-to-Image generation using diffusion models with neural cognitive alignment.

πŸ€– EEG Survey & Control Systems

πŸ§ͺ Deep Learning Tutorial

πŸ”— Blockchain Practice

🌾 IoT Application


πŸ“Š My GitHub Stats


🧠 Let's Connect


Pinned Loading

  1. ResVMamba ResVMamba Public

    The official repository implement of Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning.

    Python 64 4

  2. MUSE_EEG MUSE_EEG Public

    The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.

    Python 28

  3. Quantum_MNIST_Diffusion Quantum_MNIST_Diffusion Public

    The official implement of Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST. A novel approach to image generation using quantum-enhanced diffusion models.

    Python

  4. EEG-Datasets EEG-Datasets Public

    Forked from meagmohit/EEG-Datasets

    A list of all public EEG-datasets.

    11 4

  5. Deep_learning_introducrion Deep_learning_introducrion Public

    This tutorial is designed for beginners of deep learning, introducing the basics of PyTorch to advanced applications step by step.

    Python 10 1

  6. pytorch_deep_learning_medimg_tutorial pytorch_deep_learning_medimg_tutorial Public

    This project simply implements three common deep learning models (VGG16, ResNet18, ViT) for medical image classification tasks using the PathMNIST dataset.

    Python 16