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09/16/2023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
Federated Learning (FL) has emerged as a promising approach to enable co...
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11/19/2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test
The message-passing scheme is the core of graph representation learning....
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11/01/2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Data-efficient learning on graphs (GEL) is essential in real-world appli...
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10/28/2022
Completely Heterogeneous Federated Learning
Federated learning (FL) faces three major difficulties: cross-domain, he...
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10/13/2022
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective
The normalizing layer has become one of the basic configurations of deep...
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07/18/2020
Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction
Existing work in intelligent communications has recently made preliminar...
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07/07/2020
Learning Combined Set Covering and Traveling Salesman Problem
The Traveling Salesman Problem is one of the most intensively studied co...
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12/27/2019
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems
Artificial intelligence (AI) based downlink channel state information (C...
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09/29/2019
Model-aided Deep Neural Network for Source Number Detection
Source number detection is a critical problem in array signal processing...
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08/27/2019
Outreach Strategies for Vaccine Distribution: A Two-Period Robust Approach
Vaccination has been proven to be the most effective method to prevent i...
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08/09/2019
Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System
In a frequency division duplexing (FDD) massive multiple-input multiple-...
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07/25/2019