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04/30/2023
Self-information Domain-based Neural CSI Compression with Feature Coupling
Deep learning (DL)-based channel state information (CSI) feedback method...
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01/25/2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Recently, graph-based models designed for downstream tasks have signific...
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08/04/2022
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics
Deep learning (DL) applied to a device's radio-frequency fingerprint (RF...
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04/25/2022
Deep CSI Compression for Massive MIMO: A Self-information Model-driven Neural Network
In order to fully exploit the advantages of massive multiple-input multi...
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08/10/2021
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
Radio-frequency fingerprints (RFFs) are promising solutions for realizin...
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07/28/2021
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing
Generative Adversarial Networks (GAN)-synthesized table publishing lets ...
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05/30/2019
Unsupervised Classification of Street Architectures Based on InfoGAN
Street architectures play an essential role in city image and streetscap...
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02/23/2019