research
∙
05/30/2023
Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization
Full-duplex (FD) technique can remarkably boost the network capacity in ...
share
research
∙
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...
research
∙
09/28/2022
Breaking Time Invariance: Assorted-Time Normalization for RNNs
Methods such as Layer Normalization (LN) and Batch Normalization (BN) ha...
research
∙
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...
research
∙
08/12/2022
Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation
In recent years, using orthogonal matrices has been shown to be a promis...
research
∙
06/05/2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows
Nonlinear monotone transformations are used extensively in normalizing f...
research
∙
03/03/2022
Symmetry Structured Convolutional Neural Networks
We consider Convolutional Neural Networks (CNNs) with 2D structured feat...
research
∙
08/02/2021
Batch Normalization Preconditioning for Neural Network Training
Batch normalization (BN) is a popular and ubiquitous method in deep lear...
research
∙
12/05/2020
Adaptive Weighted Discriminator for Training Generative Adversarial Networks
Generative adversarial network (GAN) has become one of the most importan...
research
∙
12/03/2020
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum
Momentum plays a crucial role in stochastic gradient-based optimization ...
research
∙
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...
research
∙
03/30/2020
Intelligent Interference Engineering for Secure Non-Orthogonal Multiple Access
Non-orthogonal multiple access (NOMA) is an effective approach to improv...
research
∙
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...
research
∙
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...
research
∙
11/18/2019
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
Several variants of recurrent neural networks (RNNs) with orthogonal or ...
research
∙
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...
research
∙
07/30/2019
Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks
Space information network (SIN) is an innovative networking architecture...
research
∙
06/12/2019
On regularization for a convolutional kernel in neural networks
Convolutional neural network is a very important model of deep learning....
research
∙
04/08/2019
Delay-Aware Flow Migration for Embedded Services in 5G Core Networks
Service-oriented virtual network deployment is based on statistical reso...
research
∙
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...
research
∙
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...
research
∙
11/09/2018
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
Recurrent neural networks (RNNs) have been successfully used on a wide r...
research
∙
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...
research
∙
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 ...
research
∙
07/29/2017
