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2020 – today
- 2024
[j18]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: 100462 (2024)- [j17]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: 110659 (2024) - [j16]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: 99-110 (2024) - [j15]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): 333-349 (2024) - [j14]Zhongyu Ma, Yuxi Gao, Guangjie Han, Qun Guo, Xianghong Lin:
Spectral Efficiency Maximization Oriented Joint Optimization for RIS-Aided mmWave IABN: An Alternating Iterative Optimization Based Approach. IEEE Trans. Veh. Technol. 73(10): 15894-15899 (2024) - [c39]Yaohui Zou, Xianghong Lin, Yuan Zhao:
Online Supervised Learning Algorithm for Dendritic Spiking Neural Networks with Nonlinear Synaptic Integration. CCWC 2024: 119-125 - [c38]Xianrun He, Xianghong Lin, Yuan Zhao:
Hypergraph Transformer for Knowledge Tracing. CCWC 2024: 262-268 - [c37]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: 380-386 - [c36]Yuan Zhao, Xianghong Lin, Zequn Zhang, Chengyang Xie, Ruidong Ma:
Spiking Generative Adversarial Network for Controllable Affective Music Creation. ICIC (2) 2024: 333-342 - 2023
- [j13]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): 12252-12267 (2023) - [j12]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): 309-319 (2023) - [j11]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): 16-31 (2023) - [c35]Xiaoman Zhao, Xianghong Lin, Zhen Zhang:
A Semi-Supervised Multi-Spike Learning Algorithm for Deep Spiking Neural Networks. CCWC 2023: 976-982 - [c34]Jia Hu, Chu Wang, Xianghong Lin:
Spatio-Temporal Pyramid Networks for Traffic Forecasting. ECML/PKDD (1) 2023: 339-354 - 2022
- [j10]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) - [j9]Xianghong Lin, Tingyu Ren, Jie Yang, Xiangwen Wang:
Multi-objective cellular memetic algorithm. Int. J. Comput. Sci. Math. 15(3): 213-223 (2022) - [j8]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: 104516 (2022) - [j7]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): 1981-1995 (2022) - [c33]Xiaomei Pi, Xianghong Lin:
An FPGA-based Piecewise Linear Spiking Neuron for Simulating Bursting Behavior. CCWC 2022: 415-420 - [c32]Jia Hu, Xianghong Lin, Chu Wang:
MGCN: Dynamic Spatio-Temporal Multi-Graph Convolutional Neural Network. IJCNN 2022: 1-9 - [c31]Zhen Zhang, Xianghong Lin:
Supervised Learning Algorithm Based on Spike Back Reconstruction. UEMCON 2022: 1-7 - 2021
- [j6]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: 8592824:1-8592824:16 (2021) - [c30]Tingyu Ren, Xianghong Lin, Xiaofei Yang, Xiangwen Wang:
FA-STDP: Feedback Alignment Learning Algorithm Using Spike Timing Dependent Plasticity. CIS 2021: 1-5 - [c29]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: 40-51 - [c28]Wenjun Guo, Xianghong Lin, Xiaofei Yang:
A Supervised Learning Algorithm for Recurrent Spiking Neural Networks Based on BP-STDP. ICONIP (5) 2021: 583-590 - 2020
- [j5]Xiangwen Wang, Xianghong Lin, Xiaochao Dang:
Supervised learning in spiking neural networks: A review of algorithms and evaluations. Neural Networks 125: 258-280 (2020) - [c27]Xianghong Lin, Pangao Du:
Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks. ICANN (2) 2020: 634-645 - [c26]Xianghong Lin, Jiawei Geng, Qian Li:
Supervised Learning Algorithm for Spiking Neural Networks Based on Nonlinear Synaptic Interaction. ICONIP (5) 2020: 195-203 - [c25]Xianghong Lin, Jie Yang, Zhiqiang Li:
Software Defect Prediction with Spiking Neural Networks. ICONIP (5) 2020: 660-667 - [c24]Pangao Du, Xianghong Lin, Xiaomei Pi, Xiangwen Wang:
An Unsupervised Learning Algorithm for Deep Recurrent Spiking Neural Networks. UEMCON 2020: 603-607 - [c23]Xianghong Lin, Han Lu, Xiaomei Pi, Xiangwen Wang:
An FPGA-based Implementation Method for Quadratic Spiking Neuron Model. UEMCON 2020: 621-627
2010 – 2019
- 2019
- [j4]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): 679-692 (2019) - [c22]Doudou Wu, Xianghong Lin, Pangao Du:
An Adaptive Structure Learning Algorithm for Multi-Layer Spiking Neural Networks. CIS 2019: 98-102 - [c21]Mengwei Zhang, Xianghong Lin, Pangao Du:
An Epilepsy and Seizure Classification Approach Based on Multi-Spike Liquid State Machines. CIS 2019: 103-107 - [c20]Ziyi Zhao, Xianghong Lin, Mengwei Zhang:
An Automatic Sleep Stage Classification Approach Based on Multi-Spike Supervised Learning. ISCID (1) 2019: 47-52 - [c19]Ting Tuo, Huifang Ma, Zhixin Li, Xianghong Lin:
Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint. KSEM (2) 2019: 133-145 - [c18]Huifang Ma, Wen Liu, Zhixin Li, Xianghong Lin:
Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features. PAKDD (1) 2019: 135-147 - [i1]Guojun Chen, Xianghong Lin, Guoen Wang:
An online supervised learning algorithm based on triple spikes for spiking neural networks. CoRR abs/1901.01549 (2019) - 2018
- [j3]Xianghong Lin, Zhiqiang Li, Huifang Ma, Xiangwen Wang:
An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks. Neurocomputing 273: 346-356 (2018) - [c17]Xianghong Lin, Guoyong Shi:
A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks. ICANN (1) 2018: 222-234 - [c16]Yanling Tao, Ying Li, Xianghong Lin:
A Deep Clustering Algorithm Based on Self-organizing Map Neural Network. ICIC (3) 2018: 182-192 - [c15]Xianghong Lin, Qian Li, Dan Li:
Supervised Learning Algorithm for Multi-spike Liquid State Machines. ICIC (1) 2018: 243-253 - [c14]Xianghong Lin, Jianyang Zheng, Xiangwen Wang, Huifang Ma:
A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks. ICONIP (4) 2018: 336-348 - [c13]Xianghong Lin, Jianyang Zheng:
A 3D Neuronal Morphology Classification Approach Based on Convolutional Neural Networks. ISCID (2) 2018: 244-248 - 2017
- [j2]Xianghong Lin, Xiangwen Wang, Zhanjun Hao:
Supervised learning in multilayer spiking neural networks with inner products of spike trains. Neurocomputing 237: 59-70 (2017) - [j1]Huifang Ma, Meihuizi Jia, Di Zhang, Xianghong Lin:
Combining tag correlation and user social relation for microblog recommendation. Inf. Sci. 385: 325-337 (2017) - [c12]Ying Li, Xianghong Lin, Xiangwen Wang, Fanqi Shen, Zuzheng Gong:
Credit Risk Assessment Algorithm Using Deep Neural Networks with Clustering and Merging. CIS 2017: 173-176 - [c11]Xianghong Lin, Fanqi Shen, Kun Liu:
An Evolutionary Algorithm for Autonomous Agents with Spiking Neural Networks. ICIC (1) 2017: 37-47 - [c10]Xianghong Lin, Ying Li, Jichang Zhao:
Topological Structure Analysis of Developmental Spiking Neural Networks. ICIC (1) 2017: 89-100 - 2016
- [c9]Xianghong Lin, Guojun Chen, Xiangwen Wang, Huifang Ma:
An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity. ICIC (3) 2016: 44-53 - [c8]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: 95-104 - [c7]Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang:
Tag correlation and user social relation based microblog recommendation. IJCNN 2016: 2424-2430 - 2015
- [c6]Xianghong Lin, Ning Zhang, Xiangwen Wang:
An Online Supervised Learning Algorithm Based on Nonlinear Spike Train Kernels. ICIC (1) 2015: 106-115 - [c5]Huifang Ma, Meihuizi Jia, Weizhong Zhao, Xianghong Lin:
Semi-supervised Microblog Clustering Method via Dual Constraints. KSEM 2015: 360-369 - [c4]Huifang Ma, Meihuizi Jia, Meng Xie, Xianghong Lin:
A Microblog Recommendation Algorithm Based on Multi-tag Correlation. KSEM 2015: 483-488 - 2014
- [c3]Xianghong Lin, Xiangwen Wang, Wenbo Cui:
An Automatic Image Segmentation Algorithm Based on Spiking Neural Network Model. ICIC (1) 2014: 248-258 - 2013
- [c2]Xianghong Lin, Zhiqiang Li:
Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model. ISNN (1) 2013: 9-18 - 2012
- [c1]Xianghong Lin, Weiyi Wei, Guozhi Zhang:
Evolution of small-world topologies in an artificial genetic regulatory network model. ICNC 2012: 848-853
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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