Haotian Li

Haotian Li

Ph.D. in Applied Math, Department of Mathematics, University of California, Davis.

Posts by Tags

GSP

Wasserstein distance

applied computational harmonic analysis

data science

deep learning

Deep Learning

less than 1 minute read

Published:

A great coursera course.

fourier analysis

graph Laplacian

graph convolutional networks

Graph Neural Networks

1 minute read

Published:

Two interesting GitHub repositories about graph neural networks:

graph neural networks

Graph Neural Networks

1 minute read

Published:

Two interesting GitHub repositories about graph neural networks:

graph wavelet neural networks

Graph Neural Networks

1 minute read

Published:

Two interesting GitHub repositories about graph neural networks:

graph wavelets

green function

information geometry

Optimal Transport

less than 1 minute read

Published:

Good materials for optimal transport theory.

information theory

Information Theory

less than 1 minute read

Published:

The information theory textbook and the course I took at UC Davis.

machine learning

Machine Learning

less than 1 minute read

Published:

The ESL-II textbook and two course websites.

Deep Learning

less than 1 minute read

Published:

A great coursera course.

optimal transport

Optimal Transport

less than 1 minute read

Published:

Good materials for optimal transport theory.

optimization

Numerical Optimization

less than 1 minute read

Published:

The course I took with Prof. Shiqian Ma at UC Davis.

ramified optimal transport

wavelets