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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...
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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...
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11/01/2022
HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar
Gait recognition is widely used in diversified practical applications. C...
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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...
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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...
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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...
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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...
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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...
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07/09/2021
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation
As technology scaling is approaching the physical limit, lithography hot...
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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 ...
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07/13/2020
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation
Automatic segmentation of cardiac magnetic resonance imaging (MRI) facil...
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07/13/2020
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation
The recent breakthroughs of Neural Architecture Search (NAS) have motiva...
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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...
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04/05/2020
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks
The deployment of deep learning applications has to address the growing ...
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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...
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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...
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01/27/2019