Xianghong Lin

According to our database, Xianghong Lin authored at least 53 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Coalitional game based sub-channel allocation for full-duplex-enabled mmWave IAB network in B5G.

Zhongyu Ma, Zijun Wang, Yajing Wang, Xianghong Lin, Qun Guo, Yi Xie

Comput. Commun., January, 2024

Online Supervised Learning Algorithm for Dendritic Spiking Neural Networks with Nonlinear Synaptic Integration.

Yaohui Zou, Xianghong Lin, Yuan Zhao

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

An Online Supervised Learning Algorithm Based on Spike Train Kernel for Spiking Neurons.

Liu Yang, Xianghong Lin, Yuan Zhao, Xiangwen Wang, Xianrun He, Yaohui Zou

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

Hypergraph Transformer for Knowledge Tracing.

Xianrun He, Xianghong Lin, Yuan Zhao

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023

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

Han Lu, Xianghong Lin, Xiangwen Wang, Pangao Du

Appl. Intell., May, 2023

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

Xianghong Lin, Tiandou Hu, Xiangwen Wang

IEEE Trans. Cogn. Dev. Syst., March, 2023

A supervised learning algorithm based on spike train inner products for recurrent spiking neural networks.

Xianghong Lin, Xiaomei Pi, Xiangwen Wang

Int. J. Comput. Sci. Math., 2023

Spatio-Temporal Pyramid Networks for Traffic Forecasting.

Jia Hu, Chu Wang, Xianghong Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

A Semi-Supervised Multi-Spike Learning Algorithm for Deep Spiking Neural Networks.

Xiaoman Zhao, Xianghong Lin, Zhen Zhang

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022

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

Xianghong Lin, Xiaomei Pi, Xiangwen Wang, Pangao Du, Han Lu

Microprocess. Microsystems, June, 2022

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

Tiandou Hu, Xianghong Lin, Xiangwen Wang, Pangao Du

Int. J. Mach. Learn. Cybern., 2022

Multi-objective cellular memetic algorithm.

Xianghong Lin, Tingyu Ren, Jie Yang, Xiangwen Wang

Int. J. Comput. Sci. Math., 2022

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

Xiangwen Wang, Yonggang Lu, Xianghong Lin

Briefings Bioinform., 2022

Supervised Learning Algorithm Based on Spike Back Reconstruction.

Zhen Zhang, Xianghong Lin

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

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

Jia Hu, Xianghong Lin, Chu Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

An FPGA-based Piecewise Linear Spiking Neuron for Simulating Bursting Behavior.

Xiaomei Pi, Xianghong Lin

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021

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

Xianghong Lin, Mengwei Zhang, Xiangwen Wang

Comput. Intell. Neurosci., 2021

Gradient Descent Learning Algorithm Based on Spike Selection Mechanism for Multilayer Spiking Neural Networks.

Xianghong Lin, Tiandou Hu, Xiangwen Wang, Han Lu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Supervised Learning Algorithm for Recurrent Spiking Neural Networks Based on BP-STDP.

Wenjun Guo, Xianghong Lin, Xiaofei Yang

Proceedings of the Neural Information Processing - 28th International Conference, 2021

FA-STDP: Feedback Alignment Learning Algorithm Using Spike Timing Dependent Plasticity.

Tingyu Ren, Xianghong Lin, Xiaofei Yang, Xiangwen Wang

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2020

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

Xiangwen Wang, Xianghong Lin, Xiaochao Dang

Neural Networks, 2020

An FPGA-based Implementation Method for Quadratic Spiking Neuron Model.

Xianghong Lin, Han Lu, Xiaomei Pi, Xiangwen Wang

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

An Unsupervised Learning Algorithm for Deep Recurrent Spiking Neural Networks.

Pangao Du, Xianghong Lin, Xiaomei Pi, Xiangwen Wang

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

Software Defect Prediction with Spiking Neural Networks.

Xianghong Lin, Jie Yang, Zhiqiang Li

Proceedings of the Neural Information Processing - 27th International Conference, 2020

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

Xianghong Lin, Jiawei Geng, Qian Li

Proceedings of the Neural Information Processing - 27th International Conference, 2020

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

Xianghong Lin, Pangao Du

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

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

Huifang Ma, Di Zhang, Meihuizi Jia, Xianghong Lin

Int. J. Mach. Learn. Cybern., 2019

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

Guojun Chen, Xianghong Lin, Guoen Wang

CoRR, 2019

Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features.

Huifang Ma, Wen Liu, Zhixin Li, Xianghong Lin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint.

Ting Tuo, Huifang Ma, Zhixin Li, Xianghong Lin

Proceedings of the Knowledge Science, Engineering and Management, 2019

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

Ziyi Zhao, Xianghong Lin, Mengwei Zhang

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

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

Mengwei Zhang, Xianghong Lin, Pangao Du

Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

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

Doudou Wu, Xianghong Lin, Pangao Du

Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

2018

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

Xianghong Lin, Zhiqiang Li, Huifang Ma, Xiangwen Wang

Neurocomputing, 2018

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

Xianghong Lin, Jianyang Zheng

Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks.

Xianghong Lin, Jianyang Zheng, Xiangwen Wang, Huifang Ma

Proceedings of the Neural Information Processing - 25th International Conference, 2018

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

Yanling Tao, Ying Li, Xianghong Lin

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Supervised Learning Algorithm for Multi-spike Liquid State Machines.

Xianghong Lin, Qian Li, Dan Li

Proceedings of the Intelligent Computing Theories and Application, 2018

A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks.

Xianghong Lin, Guoyong Shi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Combining tag correlation and user social relation for microblog recommendation.

Huifang Ma, Meihuizi Jia, Di Zhang, Xianghong Lin

Inf. Sci., 2017

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

Xianghong Lin, Xiangwen Wang, Zhanjun Hao

Neurocomputing, 2017

An Evolutionary Algorithm for Autonomous Agents with Spiking Neural Networks.

Xianghong Lin, Fanqi Shen, Kun Liu

Proceedings of the Intelligent Computing Theories and Application, 2017

Topological Structure Analysis of Developmental Spiking Neural Networks.

Xianghong Lin, Ying Li, Jichang Zhao

Proceedings of the Intelligent Computing Theories and Application, 2017

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

Ying Li, Xianghong Lin, Xiangwen Wang, Fanqi Shen, Zuzheng Gong

Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017

2016

Tag correlation and user social relation based microblog recommendation.

Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Xiangwen Wang, Xianghong Lin, Jichang Zhao, Huifang Ma

Proceedings of the Intelligent Computing Theories and Application, 2016

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

Xianghong Lin, Guojun Chen, Xiangwen Wang, Huifang Ma

Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

2015

Semi-supervised Microblog Clustering Method via Dual Constraints.

Huifang Ma, Meihuizi Jia, Weizhong Zhao, Xianghong Lin

Proceedings of the Knowledge Science, Engineering and Management, 2015

A Microblog Recommendation Algorithm Based on Multi-tag Correlation.

Huifang Ma, Meihuizi Jia, Meng Xie, Xianghong Lin

Proceedings of the Knowledge Science, Engineering and Management, 2015

An Online Supervised Learning Algorithm Based on Nonlinear Spike Train Kernels.

Xianghong Lin, Ning Zhang, Xiangwen Wang

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014

An Automatic Image Segmentation Algorithm Based on Spiking Neural Network Model.

Xianghong Lin, Xiangwen Wang, Wenbo Cui

Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

2013

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

Xianghong Lin, Zhiqiang Li

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

2012

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

Xianghong Lin, Weiyi Wei, Guozhi Zhang

Proceedings of the Eighth International Conference on Natural Computation, 2012