Wenrui Zhang | DeepAI

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Featured Co-authors

Yu Liu
160 publications
Peng Li
119 publications
Shenda Hong
29 publications
Ling Yang
11 publications
Changqing Xu
9 publications
Yukun Yang
8 publications
Mi Lu
6 publications
Shijia Geng
5 publications
Guodong Wei
4 publications
Zhaoji Fu
4 publications
Binghan Li
3 publications

∙ 05/20/2022

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning

Unsupervised/self-supervised representation learning in time series is c...

19 Wenrui Zhang, et al. ∙

∙ 02/26/2022

A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings

With the development of deep learning-based methods, automated classific...

0 Wenrui Zhang, et al. ∙

∙ 02/25/2022

Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection

Learning representations from electrocardiogram (ECG) serves as a fundam...

0 Wenrui Zhang, et al. ∙

∙ 02/25/2022

MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs

Ventricular arrhythmias (VA) are the main causes of sudden cardiac death...

0 Wenrui Zhang, et al. ∙

∙ 08/04/2021

Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization

In neural circuits, recurrent connectivity plays a crucial role in netwo...

0 Wenrui Zhang, et al. ∙

∙ 06/22/2021

Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks

While backpropagation (BP) has been applied to spiking neural networks (...

0 Yukun Yang, et al. ∙

∙ 10/23/2020

Skip-Connected Self-Recurrent Spiking Neural Networks with Joint Intrinsic Parameter and Synaptic Weight Training

As an important class of spiking neural networks (SNNs), recurrent spiki...

0 Wenrui Zhang, et al. ∙

∙ 02/24/2020

Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks

Spiking neural networks (SNNs) are well suited for spatio-temporal learn...

0 Wenrui Zhang, et al. ∙

∙ 09/10/2019

Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes

Spiking neural networks (SNNs) are the third generation of neural networ...

0 Changqing Xu, et al. ∙

∙ 08/18/2019

Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks

Spiking neural networks (SNNs) are more biologically plausible than conv...

0 Wenrui Zhang, et al. ∙

∙ 04/25/2019

Multiple Linear Regression Haze-removal Model Based on Dark Channel Prior

Dark Channel Prior (DCP) is a widely recognized traditional dehazing alg...

0 Binghan Li, et al. ∙

∙ 05/21/2018

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

Spiking neural networks (SNNs) are positioned to enable spatio-temporal ...

0 Yingyezhe Jin, et al. ∙

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