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ChenLiu-1996/README.md

Greetings from Chen!

Hi, I am Chen Liu, a PhD student in Computer Science at Yale University.

I work on machine learning in healthcare. Lately I am diving into understanding the neural network manifold.

I am generally over-booked on projects, but feel free to reach out for collaboration.

Recent repositories

✔️ ImageFlowNet [Git] [PDF]

 🎉 [MICCAI2024] CUTS: A deep learning and topological framework for multigranular unsupervised medical image segmentation [Git] [PDF]

 🎉 [ICMLW2023] A novel method to compute entropy and mutual information in neural net representations [PDF]

✔️ An on-the-fly evaluator for GANs, with a simple working example of DCGAN on SVHN [Git]

✔️ A guide to simulate bigger batch sizes beyond GPU capability [Git]

Technical Blogs

✔️ A Technical Deep Dive into Drag Your GAN (DragGAN)

Course Projects

✔️ Towards a Large-Scale Unbiased Machine Learning Benchmark for Cell Instance Segmentation: Final Report for CPSC 537 Intro to Database Systems

Contact information

Resume

https://chenliu-1996.github.io/CV/ChenLiu_resume.pdf

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  1. CUTS CUTS Public

    [MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

    Python 27 2

  2. ImageFlowNet ImageFlowNet Public

    ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images

    Python 4

  3. GAN-evaluator GAN-evaluator Public

    A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.

    Python 10

  4. SimulateBiggerBatchSize SimulateBiggerBatchSize Public

    We provide a simple code snippet on how to simulate a bigger batch size when it is not directly achievable by your GPU.

    Python 3