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05/30/2023
Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization
Full-duplex (FD) technique can remarkably boost the network capacity in ...
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10/26/2022
SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks
In recent years, Generative Adversarial Networks (GANs) have produced si...
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09/28/2022
Breaking Time Invariance: Assorted-Time Normalization for RNNs
Methods such as Layer Normalization (LN) and Batch Normalization (BN) ha...
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08/25/2022
Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum
This paper applies an idea of adaptive momentum for the nonlinear conjug...
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08/12/2022
Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation
In recent years, using orthogonal matrices has been shown to be a promis...
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06/05/2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows
Nonlinear monotone transformations are used extensively in normalizing f...
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03/03/2022
Symmetry Structured Convolutional Neural Networks
We consider Convolutional Neural Networks (CNNs) with 2D structured feat...
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08/02/2021
Batch Normalization Preconditioning for Neural Network Training
Batch normalization (BN) is a popular and ubiquitous method in deep lear...
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12/05/2020
Adaptive Weighted Discriminator for Training Generative Adversarial Networks
Generative adversarial network (GAN) has become one of the most importan...
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12/03/2020
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum
Momentum plays a crucial role in stochastic gradient-based optimization ...
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05/31/2020
A two-stage framework for short-term wind power forecasting using different feature-learning models
With the growing dependence on wind power generation, improving the accu...
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03/30/2020
Intelligent Interference Engineering for Secure Non-Orthogonal Multiple Access
Non-orthogonal multiple access (NOMA) is an effective approach to improv...
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02/09/2020
A Virtual Network Customization Framework for Multicast Services in NFV-enabled Core Networks
The paradigm of network function virtualization (NFV) with the support o...
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12/17/2019
Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data
Real-time accurate detection of three-dimensional (3D) objects is a fund...
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11/18/2019
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
Several variants of recurrent neural networks (RNNs) with orthogonal or ...
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09/24/2019
Direct training based spiking convolutional neural networks for object recognition
Direct training based spiking neural networks (SNNs) have been paid a lo...
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07/30/2019
Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks
Space information network (SIN) is an innovative networking architecture...
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06/12/2019
On regularization for a convolutional kernel in neural networks
Convolutional neural network is a very important model of deep learning....
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04/08/2019
Delay-Aware Flow Migration for Embedded Services in 5G Core Networks
Service-oriented virtual network deployment is based on statistical reso...
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02/22/2019
An SDN-Based Transmission Protocol with In-Path Packet Caching and Retransmission
In this paper, a comprehensive software-defined networking (SDN) based t...
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01/03/2019
Spectrum Resource Management for Multi-Access Edge Computing in Autonomous Vehicular Networks
In this paper, a dynamic spectrum management framework is proposed to im...
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11/09/2018
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
Recurrent neural networks (RNNs) have been successfully used on a wide r...
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09/24/2018
SDN-Based Resource Management for Autonomous Vehicular Networks: A Multi-Access Edge Computing Approach
Enabling high-definition (HD)-map-assisted cooperative driving among aut...
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07/25/2018
Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee
Massive machine-type communication (mMTC) is a new focus of services in ...
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07/29/2017