Xianghong Lin

发表

Event-driven simulation of integrate-and-fire models with spike-frequency adaptation

Tianwen Zhang, Xianghong Lin, 2009 .

A Deep Clustering Algorithm based on Gaussian Mixture Model

Xiaofei Yang, Ying Li, Xianghong Lin, 2019 .

Supervised Learning Algorithm for Multi-spike Liquid State Machines

Qian Li, Dan Li, Xianghong Lin, 2018, ICIC.

A Microblog Recommendation Algorithm Based on Multi-tag Correlation

Huifang Ma, Meng Xie, Xianghong Lin, 2015, KSEM.

An Evolutionary Algorithm for Autonomous Agents with Spiking Neural Networks

Kun Liu, Xianghong Lin, Fanqi Shen, 2017, ICIC.

Semi-supervised Microblog Clustering Method via Dual Constraints

Huifang Ma, Weizhong Zhao, Xianghong Lin, 2015, KSEM.

Tag correlation and user social relation based microblog recommendation

Fuzhen Zhuang, Huifang Ma, Xianghong Lin, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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).

Topological Structure Analysis of Developmental Spiking Neural Networks

Ying Li, Jichang Zhao, Xianghong Lin, 2017, ICIC.

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 Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks

Guoyong Shi, Xianghong Lin, 2018, ICANN.

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.

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

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

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.

Image Segmentation Method Based on Spiking Neural Network with Adaptive Synaptic Weights

Xianghong Lin, Xiangwen Wang, Donghao Zheng, 2019, 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP).

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

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

An Automatic Image Segmentation Algorithm Based on Spiking Neural Network Model

Xianghong Lin, Xiangwen Wang, Wenbo Cui, 2014, ICIC.

Combining tag correlation and user social relation for microblog recommendation

Huifang Ma, Di Zhang, Xianghong Lin, 2017, Inf. Sci..

Huifang Ma, Wen Liu, Zhixin Li, 2019, PAKDD.

A Deep Clustering Algorithm Based on Self-organizing Map Neural Network

Ying Li, Xianghong Lin, Yanling Tao, 2018, ICIC.

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

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

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

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

Software Defect Prediction with Spiking Neural Networks

Jie Yang, Xianghong Lin, Zhiqiang Li, 2020, ICONIP.

A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks

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

An Online Supervised Learning Algorithm Based on Nonlinear Spike Train Kernels

Ning Zhang, Xianghong Lin, Xiangwen Wang, 2015, ICIC.

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.

Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks

Xianghong Lin, Pangao Du, 2020, ICANN.

Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint

Huifang Ma, Zhixin Li, Xianghong Lin, 2019, KSEM.

Supervised Learning Algorithm for Spiking Neural Networks Based on Nonlinear Synaptic Interaction

Qian Li, Xianghong Lin, Jiawei Geng, 2020, ICONIP.

An Epilepsy and Seizure Classification Approach Based on Multi-Spike Liquid State Machines

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

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

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

Quantitative Analysis of Influence of Morphological Feature Selection on Neuron Classification

Xianghong Lin, Jianyang Zheng, 2019, 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).

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).

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).

A term correlation based semi-supervised microblog clustering with dual constraints

Huifang Ma, Di Zhang, Xianghong Lin, 2019, Int. J. Mach. Learn. Cybern..

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

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

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

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

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.