Xianghong Lin

发表

Fast image segmentation based on two-dimensional minimum Tsallis-cross entropy

Xianghong Lin, Weiyi Wei, Guicang Zhang, 2010, 2010 International Conference on Image Analysis and Signal Processing.

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).

MGCN: Dynamic Spatio-Temporal Multi-Graph Convolutional Neural Network*

Xianghong Lin, Jia Hu, Chu Wang, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Supervised Learning Algorithm Based on Spike Back Reconstruction

Xianghong Lin, Zhen Zhang, Zhen Zhang, 2022, 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

Evolution of small-world topologies in an artificial genetic regulatory network model

Guozhi Zhang, Xianghong Lin, Weiyi Wei, 2012, 2012 8th International Conference on Natural Computation.

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..

An Automatic Sleep Stage Classification Approach Based on Multi-Spike Supervised Learning

Xianghong Lin, Ziyi Zhao, Mengwei Zhang, 2019, 2019 12th International Symposium on Computational Intelligence and Design (ISCID).

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 online supervised learning algorithm based on triple spikes for spiking neural networks pdf

Guojun Chen, Xianghong Lin, Guoen Wang, 2019, ArXiv.

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

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

DSTGCN: Dynamic Spatial-Temporal Graph Convolutional Network for Traffic Prediction

Xianghong Lin, Jia Hu, Chu Wang, 2022, IEEE Sensors Journal.

STDP-based adaptive graph convolutional networks for automatic sleep staging

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

An Adaptive Structure Learning Algorithm for Multi-Layer Spiking Neural Networks

Xianghong Lin, Doudou Wu, Pangao Du, 2019, 2019 15th International Conference on Computational Intelligence and Security (CIS).

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

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

Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model

Zhiqiang Li, Xianghong Lin, Xianghong Lin, 2013, ISNN.

Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks

Xianghong Lin, Donghao Zheng, Zhen Zhang, 2023, Brain Science.

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.

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..

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 Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks

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

A Neuronal Morphology Classification Approach Based on Locally Cumulative Connected Deep Neural Networks

Jianyang Zheng, Xianghong Lin, Jianyang Zheng, 2019, Applied Sciences.

A 3D Neuronal Morphology Classification Approach Based on Convolutional Neural Networks

Jianyang Zheng, Xianghong Lin, Jianyang Zheng, 2018, 2018 11th International Symposium on Computational Intelligence and Design (ISCID).