Xiangwen Wang

发表

An Unsupervised Learning Algorithm for Deep Recurrent Spiking Neural Networks

Xianghong Lin, Pangao Du, Xiaomei Pi, 2020, 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

An FPGA-based Implementation Method for Quadratic Spiking Neuron Model

Xianghong Lin, Xiaomei Pi, Xiangwen Wang, 2020, 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

Image Alignment Using 2D Interpolation in the Frequency Domain for Class Averaging in Single-particle Cryo-EM

Xiangwen Wang, Jiaxuan Liu, Yonggang Lu, 2021 .

MGNet: Mutual-guidance network for few-shot semantic segmentation

Xiangwen Wang, Zhaobin Chang, Yonggang Lu, 2022, Eng. Appl. Artif. Intell..

A Fast Image Alignment Approach for 2D Classification of Cryo-EM Images Using Spectral Clustering

Xiangwen Wang, Jiaxuan Liu, Yonggang Lu, 2021, Current issues in molecular biology.

Recyclable waste image recognition based on deep learning

Xiangwen Wang, Ran Tian, Zhihe Wang, 2021 .

FPGA implementation of piecewise linear spiking neuron and simulation of cortical neurons

Xianghong Lin, Pangao Du, Xiaomei Pi, 2022, Microprocessors and Microsystems.

Supervised learning in spiking neural networks: A review of algorithms and evaluations

Xiaochao Dang, Xianghong Lin, Xiangwen Wang, 2020, Neural Networks.

Supervised learning in multilayer spiking neural networks with inner products of spike trains

Xianghong Lin, Zhanjun Hao, Xiangwen Wang, 2017, Neurocomputing.

Supervised learning algorithm based on spike optimization mechanism for multilayer spiking neural networks

Ti-Ling Hu, Xianghong Lin, Pangao Du, 2022, International Journal of Machine Learning and Cybernetics.

Supervised Learning Algorithm for Multilayer Spiking Neural Networks with Long-Term Memory Spike Response Model

Xianghong Lin, Xiangwen Wang, Mengwei Zhang, 2021, Comput. Intell. Neurosci..

One-Pass Online Learning Based on Gradient Descent for Multilayer Spiking Neural Networks

Xianghong Lin, Xiangwen Wang, Tiandou Hu, 2023, IEEE Transactions on Cognitive and Developmental Systems.

A Delay Learning Algorithm Based on Spike Train Kernels for Spiking Neurons

Xiaochao Dang, Xianghong Lin, Xiangwen Wang, 2019, Front. Neurosci..

Supervised Learning of Single-Layer Spiking Neural Networks for Image Classification

Qiang Ma, Xianghong Lin, Xiangwen Wang, 2018, IOP Conference Series: Materials Science and Engineering.

Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains

Huifang Ma, Jichang Zhao, Xianghong Lin, 2016, ICIC.

An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity

Huifang Ma, Guojun Chen, Xianghong Lin, 2016, ICIC.

Unsupervised Heterogeneous Cryo-EM Projection Image Classification Using Autoencoder

Yonggang Lu, Zequn Zhang, Xiangwen Wang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

STDP-based adaptive graph convolutional networks for automatic sleep staging

Zequn Zhang, Liu Yang, Xianghong Lin, 2023, Frontiers in Neuroscience.

A Weighted Voting Algorithm for Detecting Reliable Common Lines in Single Particle Cryo-EM

Xiangwen Wang, Jiaxuan Liu, Yonggang Lu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks

Zhiqiang Li, Huifang Ma, Xianghong Lin, 2018, Neurocomputing.

HC-DTTSVM: A Network Intrusion Detection Method Based on Decision Tree Twin Support Vector Machine and Hierarchical Clustering

Xuemei Luo, Xiangwen Wang, L. Zou, 2023, IEEE Access.

An Unsupervised Classification Algorithm for Heterogeneous Cryo-EM Projection Images Based on Autoencoders

Yonggang Lu, Zequn Zhang, Xianghong Lin, 2023, International Journal of Molecular Sciences.

Comprehensive survey on hierarchical clustering algorithms and the recent developments

Xiangwen Wang, Zhenyu Lu, Yue Xi, 2022, Artificial Intelligence Review.

Heterogeneous cryo-EM projection image classification using a two-stage spectral clustering based on novel distance measures

Yonggang Lu, Xianghong Lin, Xiangwen Wang, 2022, Briefings Bioinform..

Heterogeneous Cryo-EM Projection Image Classification Based on Common Lines

Xiangwen Wang, Yonggang Lu, Xiangwen Wang, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Few-shot semantic segmentation: a review on recent approaches

Yonggang Lu, Xiangwen Wang, Zhaobin Chang, 2023, Neural Computing and Applications.

Spike-train level supervised learning algorithm based on bidirectional modification for liquid state machines

Xianghong Lin, Pangao Du, Xiangwen Wang, 2022, Applied Intelligence.

Credit Risk Assessment Algorithm Using Deep Neural Networks with Clustering and Merging

Ying Li, Xianghong Lin, Fanqi Shen, 2017, 2017 13th International Conference on Computational Intelligence and Security (CIS).

A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations

Xiangwen Wang, Qiang Zhang, Shun Wu, 2020 .

A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks

Huifang Ma, Jianyang Zheng, Xianghong Lin, 2018, ICONIP.