IEEE

Graph Neural Network Empowered Wireless Communications: Fundamentals, State-of-the-Art, Challenges, and Opportunities

Abstract: Deep learning (DL) has been widely applied in wireless communications to address diverse challenges, such as beam management, positioning, and channel state information (CSI) feedback.
GitHub

[CVPR2025] Dataset Distillation with Neural Characteristic Function: A Minmax Perspective

To get started with NCFM, follow the installation instructions below.
IEEE

A Novel Zeroing Neural Network for Time-Varying Matrix Pseudoinversion in the Presence of Linear Noises

Abstract: The computation of matrix pseudoinverses is a recurrent requirement across various scientific computing and engineering domains. The prevailing models for matrix pseudoinverse typically ...
GitHub

TurboQuant PyTorch — Implementation + Deep Tutorial

TurboQuant PyTorch — Implementation + Deep Tutorial A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value ...