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Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Proceedings of the IEEE, 2020-04, Vol.108 (4), p.485-532

2020

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Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

Frontiers in neuroscience, 2018-05, Vol.12, p.331-331

2018

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Rethinking the performance comparison between SNNS and ANNS

Neural networks, 2020-01, Vol.121, p.294-307

2020

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CIFAR10-DVS: An Event-Stream Dataset for Object Classification

Frontiers in neuroscience, 2017-05, Vol.11, p.309-309

2017

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Adaptive Crystallite Kinetics in Homogenous Bilayer Oxide Memristor for Emulating Diverse Synaptic Plasticity

Advanced functional materials, 2018-05, Vol.28 (19), p.n/a

2018

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A framework for the general design and computation of hybrid neural networks

Nature communications, 2022-06, Vol.13 (1), p.3427-3427, Article 3427

2022

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ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks

Frontiers in neuroscience, 2021-11, Vol.15, p.726582-726582

2021

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Chitin Deacetylase Homologous Gene cda Contributes to Development and Aflatoxin Synthesis in Aspergillus flavus

Toxins, 2024-05, Vol.16 (5), p.217

2024

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Brain-inspired global-local learning incorporated with neuromorphic computing

Nature communications, 2022-01, Vol.13 (1), p.65-14, Article 65

2022

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Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

Nature communications, 2024-01, Vol.15 (1), p.277-277, Article 277

2024

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Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain-Computer Interfaces

IEEE access, 2019, Vol.7, p.171431-171451

2019

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A novel compression approach for truck GPS trajectory data

IET intelligent transport systems, 2021-01, Vol.15 (1), p.74-83

2021

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Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform

IEEE access, 2019, Vol.7, p.127678-127692

2019

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Cortical and medullary oxygenation evaluation of kidneys with renal artery stenosis by BOLD-MRI

PloS one, 2022-03, Vol.17 (3), p.e0264630-e0264630

2022

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Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

IEEE/CAA journal of automatica sinica, 2022-02, Vol.9 (2), p.205-234

2022

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Temporal-wise Attention Spiking Neural Networks for Event Streams Classification

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.10201-10210

2021

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Identification of Wiener Systems With Clipped Observations

IEEE transactions on signal processing, 2012-07, Vol.60 (7), p.3845-3852

2012

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Analyzing Brain Connectivity in the Mutual Regulation of Emotion-Movement Using Bidirectional Granger Causality

Frontiers in neuroscience, 2020-05, Vol.14, p.369-369

2020

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Minimum-cost control of complex networks

New journal of physics, 2016-01, Vol.18 (1), p.13012

2016

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A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs

IEEE access, 2023-01, Vol.11, p.1-1

2023

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The target of rapamycin signaling pathway regulates vegetative development, aflatoxin biosynthesis, and pathogenicity in Aspergillus flavus

eLife, 2024-07, Vol.12

2024

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Effects of Microstate Dynamic Brain Network Disruption in Different Stages of Schizophrenia

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1-1

2023

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Phase-change nanoclusters embedded in a memristor for simulating synaptic learning

Nanoscale, 2019-03, Vol.11 (12), p.5684-5692

2019

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Upregulated Expression of TUBA1C Predicts Poor Prognosis and Promotes Oncogenesis in Pancreatic Ductal Adenocarcinoma via Regulating the Cell Cycle

Frontiers in oncology, 2020-02, Vol.10, p.49-49

2020

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Identification of a Class of Nonlinear Autoregressive Models With Exogenous Inputs Based on Kernel Machines

IEEE transactions on signal processing, 2011-05, Vol.59 (5), p.2146-2159

2011

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Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

Rethinking the performance comparison between SNNS and ANNS

CIFAR10-DVS: An Event-Stream Dataset for Object Classification

Adaptive Crystallite Kinetics in Homogenous Bilayer Oxide Memristor for Emulating Diverse Synaptic Plasticity

A framework for the general design and computation of hybrid neural networks

ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks

Chitin Deacetylase Homologous Gene cda Contributes to Development and Aflatoxin Synthesis in Aspergillus flavus

Brain-inspired global-local learning incorporated with neuromorphic computing

Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain-Computer Interfaces

A novel compression approach for truck GPS trajectory data

Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform

Cortical and medullary oxygenation evaluation of kidneys with renal artery stenosis by BOLD-MRI

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification

Identification of Wiener Systems With Clipped Observations

Analyzing Brain Connectivity in the Mutual Regulation of Emotion-Movement Using Bidirectional Granger Causality

Minimum-cost control of complex networks

A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs

The target of rapamycin signaling pathway regulates vegetative development, aflatoxin biosynthesis, and pathogenicity in Aspergillus flavus

Effects of Microstate Dynamic Brain Network Disruption in Different Stages of Schizophrenia

Phase-change nanoclusters embedded in a memristor for simulating synaptic learning

Upregulated Expression of TUBA1C Predicts Poor Prognosis and Promotes Oncogenesis in Pancreatic Ductal Adenocarcinoma via Regulating the Cell Cycle

Identification of a Class of Nonlinear Autoregressive Models With Exogenous Inputs Based on Kernel Machines

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