research
∙
03/06/2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk
Graph representation plays an important role in the field of financial r...
share
research
∙
01/28/2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
Since random initial models in Federated Learning (FL) can easily result...
research
∙
12/03/2021
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion
In the context of Bayesian inversion for scientific and engineering mode...
research
∙
11/29/2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation
As a promising distributed machine learning paradigm, Federated Learning...
research
∙
10/07/2021
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving
Bayesian Neural Networks (BNNs) that possess a property of uncertainty e...
research
∙
05/12/2021
A Large-Scale Benchmark for Food Image Segmentation
Food image segmentation is a critical and indispensible task for develop...
research
∙
02/16/2021
Does deep machine vision have just noticeable difference (JND)?
As an important perceptual characteristic of the Human Visual System (HV...
research
∙
01/08/2020
OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems
With the strong computation capability, NUMA-based multi-GPU system is a...
research
∙
11/07/2019
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design
In recent years, the CNNs have achieved great successes in the image pro...
research
∙
04/18/2019
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
No-reference image quality assessment (NR-IQA) aims to measure the image...
research
∙
02/22/2019
Towards end-to-end pulsed eddy current classification and regression with CNN
Pulsed eddy current (PEC) is an effective electromagnetic non-destructiv...
research
∙
02/22/2019
