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Hello everyone,

This is Xiaoyu Xie, a third-year PhD candidate at Northwestern University, USA. A brief summary for me is shown below:

  • 6+ years of research experience in machine learning and deep learning for scientific knowledge (e.g., ODEs/PDEs, scaling laws, dimensionless numbers) discovery, digital twin creation, surrogate modeling, image and statistical analysis using physics-based and data-driven approaches.
  • 2 years of industrial experience in computer vision and deep learning of designing and implementing visual spam detection systems (images, videos, and live streaming data), online training, computing, monitoring, and evaluating systems.
  • Demonstrated experience in the development of open-source software. Independently contributing to the development of PyDimension, a python library for discovering scientific knowledge from scarce data.
  • Strong communication and writing skills and ability to work collaboratively in interdisciplinary teams.
  • Authored and co-authored 5 scientific publications in top journals (e.g., Nature Communications and Npj Computational Materials-Nature).
  • Actively looking for a 2023 intern position in machine learning, deep learning, and computer vision-related fields.

Please go to my personal website to read more.

XiaoyuXie's Projects

pdebench icon pdebench

This is a repository for the paper "PDEBench: An Extensive Benchmark for Scientific Machine Learning".

pydimension icon pydimension

Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements".

python-cookbook icon python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

pytorch-bayesiancnn icon pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-book icon pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

pytorch-metric-learning icon pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

sciann icon sciann

Deep learning for Engineers - Physics Informed Deep Learning

semanticsegmentation icon semanticsegmentation

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

tools icon tools

Common tools for python users

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

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