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∙ 06/14/2023

POP: Prompt Of Prompts for Continual Learning

Continual learning (CL) has attracted increasing attention in the recent...

0 Zhiyuan Hu, et al. ∙

∙ 05/09/2023

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation

Cross-platform recommendation aims to improve recommendation accuracy by...

0 Sheng Wan, et al. ∙

∙ 04/08/2023

Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack

Deep learning models can be fooled by small l_p-norm adversarial perturb...

0 Dashan Gao, et al. ∙

∙ 03/30/2023

MobileInst: Video Instance Segmentation on the Mobile

Although recent approaches aiming for video instance segmentation have a...

0 Renhong Zhang, et al. ∙

∙ 03/22/2023

Dense Network Expansion for Class Incremental Learning

The problem of class incremental learning (CIL) is considered. State-of-...

0 Zhiyuan Hu, et al. ∙

∙ 10/10/2022

A Survey on Heterogeneous Federated Learning

Federated learning (FL) has been proposed to protect data privacy and vi...

0 Dashan Gao, et al. ∙

∙ 07/03/2020

Privacy Threats Against Federated Matrix Factorization

Matrix Factorization has been very successful in practical recommendatio...

7 Dashan Gao, et al. ∙

∙ 06/15/2020

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

prevention of stroke with its associated risk factors has been one of th...

0 Ce Ju, et al. ∙

∙ 04/26/2020

Federated Transfer Learning for EEG Signal Classification

The success of deep learning (DL) methods in the Brain-Computer Interfac...

0 Ce Ju, et al. ∙

∙ 04/04/2020

Volumetric Attention for 3D Medical Image Segmentation and Detection

A volumetric attention(VA) module for 3D medical image segmentation and ...

0 Xudong Wang, et al. ∙

∙ 02/11/2020

Validating uncertainty in medical image translation

Medical images are increasingly used as input to deep neural networks to...

0 Jacob C. Reinhold, et al. ∙

∙ 02/11/2020

Finding novelty with uncertainty

Medical images are often used to detect and characterize pathology and d...

0 Jacob C. Reinhold, et al. ∙

∙ 02/10/2020

Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives

Segmentation of abdominal computed tomography(CT) provides spatial conte...

0 Yuchen Xu, et al. ∙

∙ 02/10/2020

Outlier Guided Optimization of Abdominal Segmentation

Abdominal multi-organ segmentation of computed tomography (CT) images ha...

0 Yuchen Xu, et al. ∙

∙ 12/01/2019

Stochastic tissue window normalization of deep learning on computed tomography

Tissue window filtering has been widely used in deep learning for comput...

25 Yuankai Huo, et al. ∙

∙ 11/14/2019

Contrast Phase Classification with a Generative Adversarial Network

Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...

49 Yucheng Tang, et al. ∙

∙ 11/12/2019

Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision

Human in-the-loop quality assurance (QA) is typically performed after me...

9 Ho Hin Lee, et al. ∙

∙ 09/11/2019

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography

Electroencephalography (EEG) classification techniques have been widely ...

0 Dashan Gao, et al. ∙

∙ 04/09/2019

Towards Universal Object Detection by Domain Attention

Despite increasing efforts on universal representations for visual recog...

0 Xudong Wang, et al. ∙

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