IEEE

A Graph-Based Hyperspectral Change Detection Framework Using Difference Augmentation and Progressive Reconstruction With Limited Labels

Abstract: Identifying land cover changes based on hyperspectral images (HSIs) has been a research hotspot in the field of remote sensing (RS). In recent years, deep-learning (DL)-based change ...
Al Jazeera English

Are tech companies using your private data to train AI models?

Leading tech companies are in a race to release and improve artificial intelligence (AI) products, leaving users in the United States to puzzle out how much of their personal data could be extracted ...
Wall Street Journal

A New Antidote for Youth Loneliness: Sharing Data About the Kindness of Others

The college years once ranked among the happiest times of most people’s lives, but that’s changed. Young adults face an escalating mental health crisis, fueled in part by loneliness. In 2023, 19% of ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
GitHub

Euclideanizing Graph using Pure Transformer (ICML2024)

We provide some Jupyter Notebooks in ./jupyter_notebooks, and their corresponding online Google Colaboratory Notebooks. You can run them for a quick start. For the unconditional generation with ...