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∙ 05/30/2023

SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size

Deep neural networks (DNN) have been designed to predict the chronologic...

0 Yu Fu, et al. ∙

∙ 01/28/2023

A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits

Given the stringent requirements of energy efficiency for Internet-of-Th...

0 Ying Wu, et al. ∙

∙ 11/01/2022

HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar

Gait recognition is widely used in diversified practical applications. C...

0 Yanyan Huang, et al. ∙

∙ 08/01/2022

GANDSE: Generative Adversarial Network based Design Space Exploration for Neural Network Accelerator Design

With the popularity of deep learning, the hardware implementation platfo...

0 Lang Feng, et al. ∙

∙ 07/25/2022

COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search

In a number of machine learning models, an input query is searched acros...

0 Che-Kai Liu, et al. ∙

∙ 06/08/2022

RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Accurately segmenting temporal frames of cine magnetic resonance imaging...

0 Qing Lu, et al. ∙

∙ 05/10/2022

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt

Chronological age of healthy brain is able to be predicted using deep ne...

0 Yu Fu, et al. ∙

∙ 04/27/2022

Worst-Case Dynamic Power Distribution Network Noise Prediction Using Convolutional Neural Network

Worst-case dynamic PDN noise analysis is an essential step in PDN sign-o...

0 Xiao Dong, et al. ∙

∙ 07/09/2021

Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation

As technology scaling is approaching the physical limit, lithography hot...

0 Xuezhong Lin, et al. ∙

∙ 02/22/2021

RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection

The novel 2019 Coronavirus (COVID-19) infection has spread world widely ...

0 Shunjie Dong, et al. ∙

∙ 07/13/2020

DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation

Automatic segmentation of cardiac magnetic resonance imaging (MRI) facil...

0 Shunjie Dong, et al. ∙

∙ 07/13/2020

MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation

The recent breakthroughs of Neural Architecture Search (NAS) have motiva...

0 Xingang Yan, et al. ∙

∙ 06/19/2020

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift

Deep convolutional neural networks (DCNNs) have contributed many breakth...

0 Qinming Zhang, et al. ∙

∙ 04/05/2020

Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks

The deployment of deep learning applications has to address the growing ...

0 Di Gao, et al. ∙

∙ 09/10/2019

When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies

Deep Neural Network has proved its potential in various perception tasks...

0 Zheyu Yan, et al. ∙

∙ 01/27/2019

Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures

Computing-in-Memory (CiM) architectures aim to reduce costly data transf...

0 Di Gao, et al. ∙

∙ 01/27/2019

Eva-CiM: A System-Level Energy Evaluation Framework for Computing-in-Memory Architectures

Computing-in-Memory (CiM) architectures aim to reduce costly data transf...

0 Di Gao, et al. ∙

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