research
∙
12/05/2022
HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation
Federated learning (FL) has been recognized as a privacy-preserving dist...
share
research
∙
05/24/2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment
Along with the popularity of Artificial Intelligence (AI) and Internet-o...
research
∙
05/09/2022
Model-Contrastive Learning for Backdoor Defense
Along with the popularity of Artificial Intelligence (AI) techniques, an...
research
∙
04/21/2022
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation
Due to the prosperity of Artificial Intelligence (AI) techniques, more a...
research
∙
03/18/2022
BIOS: An Algorithmically Generated Biomedical Knowledge Graph
Biomedical knowledge graphs (BioMedKGs) are essential infrastructures fo...
research
∙
02/11/2022
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels
The upheaval brought by the arrival of the COVID-19 pandemic has continu...
research
∙
01/31/2022
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus
Based on CT and MRI images acquired from normal pressure hydrocephalus (...
research
∙
12/10/2021
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information
In clinical medicine, magnetic resonance imaging (MRI) is one of the mos...
research
∙
12/09/2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
The world is currently experiencing an ongoing pandemic of an infectious...
research
∙
11/29/2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation
As a promising distributed machine learning paradigm, Federated Learning...
research
∙
02/03/2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Explainable Artificial Intelligence (XAI) is an emerging research topic ...
research
∙
09/21/2020
Deep Clustering and Representation Learning that Preserves Geometric Structures
In this paper, we propose a novel framework for Deep Clustering and Repr...
research
∙
04/14/2020
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
An outbreak of a novel coronavirus disease (i.e., COVID-19) has been rec...
research
∙
03/03/2020