Xianghong Lin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 51

Top Topics

Supervised Learning

Top Venues

Publications

Zhongyu Ma, Xueyao Zhang, Shunbao Zhang, Jianbing Pu, Xianghong Lin, Qun Guo
Access strategies in mmWave cell-free network: A matching and auction theory based approach. Comput. Networks 252 (2024)
Zhongyu Ma, Zijun Wang, Yajing Wang, Xianghong Lin, Qun Guo, Yi Xie
Coalitional game based sub-channel allocation for full-duplex-enabled mmWave IAB network in B5G. Comput. Commun. 213 (2024)
Li Deng, Shihu Liu, Weihua Xu, Xianghong Lin
Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach. Big Data Res. 36 (2024)
Liu Yang, Xianghong Lin, Yuan Zhao, Xiangwen Wang, Xianrun He, Yaohui Zou
An Online Supervised Learning Algorithm Based on Spike Train Kernel for Spiking Neurons. CCWC (2024)
Yaohui Zou, Xianghong Lin, Yuan Zhao
Online Supervised Learning Algorithm for Dendritic Spiking Neural Networks with Nonlinear Synaptic Integration. CCWC (2024)
Zhongyu Ma, Liang Ran, Jianbing Pu, Qun Guo, Xianghong Lin
Revenue maximization based joint optimization in mmWave cell-free network: an equivalent decomposition and alternative iteration combined approach. Telecommun. Syst. 86 (2) (2024)
Xianrun He, Xianghong Lin, Yuan Zhao
Hypergraph Transformer for Knowledge Tracing. CCWC (2024)
Yuan Zhao, Xianghong Lin, Zequn Zhang, Chengyang Xie, Ruidong Ma
Spiking Generative Adversarial Network for Controllable Affective Music Creation. ICIC (2) (2024)
Xiaoman Zhao, Xianghong Lin, Zhen Zhang
A Semi-Supervised Multi-Spike Learning Algorithm for Deep Spiking Neural Networks. CCWC (2023)
Xianghong Lin, Xiaomei Pi, Xiangwen Wang
A supervised learning algorithm based on spike train inner products for recurrent spiking neural networks. Int. J. Comput. Sci. Math. 17 (4) (2023)
Han Lu, Xianghong Lin, Xiangwen Wang, Pangao Du
Spike-train level supervised learning algorithm based on bidirectional modification for liquid state machines. Appl. Intell. 53 (10) (2023)
Jia Hu, Chu Wang, Xianghong Lin
Spatio-Temporal Pyramid Networks for Traffic Forecasting. ECML/PKDD (1) (2023)
Xianghong Lin, Tiandou Hu, Xiangwen Wang
One-Pass Online Learning Based on Gradient Descent for Multilayer Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. 15 (1) (2023)
Xiaomei Pi, Xianghong Lin
An FPGA-based Piecewise Linear Spiking Neuron for Simulating Bursting Behavior. CCWC (2022)
Zhen Zhang, Xianghong Lin
Supervised Learning Algorithm Based on Spike Back Reconstruction. UEMCON (2022)
Xiangwen Wang, Yonggang Lu, Xianghong Lin
Heterogeneous cryo-EM projection image classification using a two-stage spectral clustering based on novel distance measures. Briefings Bioinform. 23 (3) (2022)
Xianghong Lin, Xiaomei Pi, Xiangwen Wang, Pangao Du, Han Lu
FPGA implementation of piecewise linear spiking neuron and simulation of cortical neurons. Microprocess. Microsystems 91 (2022)
Jia Hu, Xianghong Lin, Chu Wang
MGCN: Dynamic Spatio-Temporal Multi-Graph Convolutional Neural Network. IJCNN (2022)
Tiandou Hu, Xianghong Lin, Xiangwen Wang, Pangao Du
Supervised learning algorithm based on spike optimization mechanism for multilayer spiking neural networks. Int. J. Mach. Learn. Cybern. 13 (7) (2022)
Xianghong Lin, Tingyu Ren, Jie Yang, Xiangwen Wang
Multi-objective cellular memetic algorithm. Int. J. Comput. Sci. Math. 15 (3) (2022)
Xianghong Lin, Tiandou Hu, Xiangwen Wang, Han Lu
Gradient Descent Learning Algorithm Based on Spike Selection Mechanism for Multilayer Spiking Neural Networks. ICONIP (3) (2021)
Xianghong Lin, Mengwei Zhang, Xiangwen Wang
Supervised Learning Algorithm for Multilayer Spiking Neural Networks with Long-Term Memory Spike Response Model. Comput. Intell. Neurosci. 2021 (2021)
Tingyu Ren, Xianghong Lin, Xiaofei Yang, Xiangwen Wang
FA-STDP: Feedback Alignment Learning Algorithm Using Spike Timing Dependent Plasticity. CIS (2021)
Wenjun Guo, Xianghong Lin, Xiaofei Yang
A Supervised Learning Algorithm for Recurrent Spiking Neural Networks Based on BP-STDP. ICONIP (5) (2021)
Xianghong Lin, Jiawei Geng, Qian Li
Supervised Learning Algorithm for Spiking Neural Networks Based on Nonlinear Synaptic Interaction. ICONIP (5) (2020)
Xianghong Lin, Han Lu, Xiaomei Pi, Xiangwen Wang
An FPGA-based Implementation Method for Quadratic Spiking Neuron Model. UEMCON (2020)
Xianghong Lin, Pangao Du
Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks. ICANN (2) (2020)
Xianghong Lin, Jie Yang, Zhiqiang Li
Software Defect Prediction with Spiking Neural Networks. ICONIP (5) (2020)
Xiangwen Wang, Xianghong Lin, Xiaochao Dang
Supervised learning in spiking neural networks: A review of algorithms and evaluations. Neural Networks 125 (2020)
Pangao Du, Xianghong Lin, Xiaomei Pi, Xiangwen Wang
An Unsupervised Learning Algorithm for Deep Recurrent Spiking Neural Networks. UEMCON (2020)
Ziyi Zhao, Xianghong Lin, Mengwei Zhang
An Automatic Sleep Stage Classification Approach Based on Multi-Spike Supervised Learning. ISCID (1) (2019)
Mengwei Zhang, Xianghong Lin, Pangao Du
An Epilepsy and Seizure Classification Approach Based on Multi-Spike Liquid State Machines. CIS (2019)
Ting Tuo, Huifang Ma, Zhixin Li, Xianghong Lin
Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint. KSEM (2) (2019)
Guojun Chen, Xianghong Lin, Guoen Wang
An online supervised learning algorithm based on triple spikes for spiking neural networks. CoRR (2019)
Huifang Ma, Wen Liu, Zhixin Li, Xianghong Lin
Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features. PAKDD (1) (2019)
Doudou Wu, Xianghong Lin, Pangao Du
An Adaptive Structure Learning Algorithm for Multi-Layer Spiking Neural Networks. CIS (2019)
Huifang Ma, Di Zhang, Meihuizi Jia, Xianghong Lin
A term correlation based semi-supervised microblog clustering with dual constraints. Int. J. Mach. Learn. Cybern. 10 (4) (2019)
Xianghong Lin, Jianyang Zheng, Xiangwen Wang, Huifang Ma
A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks. ICONIP (4) (2018)
Xianghong Lin, Jianyang Zheng
A 3D Neuronal Morphology Classification Approach Based on Convolutional Neural Networks. ISCID (2) (2018)
Xianghong Lin, Guoyong Shi
A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks. ICANN (1) (2018)
Xianghong Lin, Zhiqiang Li, Huifang Ma, Xiangwen Wang
An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks. Neurocomputing 273 (2018)
Xianghong Lin, Qian Li, Dan Li
Supervised Learning Algorithm for Multi-spike Liquid State Machines. ICIC (1) (2018)
Yanling Tao, Ying Li, Xianghong Lin
A Deep Clustering Algorithm Based on Self-organizing Map Neural Network. ICIC (3) (2018)
Ying Li, Xianghong Lin, Xiangwen Wang, Fanqi Shen, Zuzheng Gong
Credit Risk Assessment Algorithm Using Deep Neural Networks with Clustering and Merging. CIS (2017)
Xianghong Lin, Xiangwen Wang, Zhanjun Hao
Supervised learning in multilayer spiking neural networks with inner products of spike trains. Neurocomputing 237 (2017)
Xianghong Lin, Fanqi Shen, Kun Liu
An Evolutionary Algorithm for Autonomous Agents with Spiking Neural Networks. ICIC (1) (2017)
Xianghong Lin, Ying Li, Jichang Zhao
Topological Structure Analysis of Developmental Spiking Neural Networks. ICIC (1) (2017)
Huifang Ma, Meihuizi Jia, Di Zhang, Xianghong Lin
Combining tag correlation and user social relation for microblog recommendation. Inf. Sci. 385 (2017)
Xianghong Lin, Guojun Chen, Xiangwen Wang, Huifang Ma
An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity. ICIC (3) (2016)
Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang
Tag correlation and user social relation based microblog recommendation. IJCNN (2016)
Xiangwen Wang, Xianghong Lin, Jichang Zhao, Huifang Ma
Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains. ICIC (2) (2016)
Huifang Ma, Meihuizi Jia, Meng Xie, Xianghong Lin
A Microblog Recommendation Algorithm Based on Multi-tag Correlation. KSEM (2015)
Xianghong Lin, Ning Zhang, Xiangwen Wang
An Online Supervised Learning Algorithm Based on Nonlinear Spike Train Kernels. ICIC (1) (2015)
Huifang Ma, Meihuizi Jia, Weizhong Zhao, Xianghong Lin
Semi-supervised Microblog Clustering Method via Dual Constraints. KSEM (2015)
Xianghong Lin, Xiangwen Wang, Wenbo Cui
An Automatic Image Segmentation Algorithm Based on Spiking Neural Network Model. ICIC (1) (2014)
Xianghong Lin, Zhiqiang Li
Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model. ISNN (1) (2013)
Xianghong Lin, Weiyi Wei, Guozhi Zhang
Evolution of small-world topologies in an artificial genetic regulatory network model. ICNC (2012)