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Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:  Du, Wei;  Ding, Shifei;  Zhang, Chenglong;  Shi, Zhongzhi
收藏  |  浏览/下载:13/0  |  提交时间:2023/07/12
Reinforcement learning  Multi-agent systems  Aggregates  Task analysis  Scalability  Marine vehicles  Learning systems  Graph attention network  heterogeneous agents  multiagent reinforcement learning (MARL)  relationship-level attention  
Robust spike-and-slab deep Boltzmann machines for face denoising 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 7, 页码: 2815-2827
作者:  Zhang, Nan;  Ding, Shifei;  Zhang, Jian;  Zhao, Xingyu
收藏  |  浏览/下载:60/0  |  提交时间:2020/12/10
Restricted Boltzmann machine  Deep Boltzmann machine  Unsupervised learning  Denoising  
A novel density peaks clustering with sensitivity of local density and density-adaptive metric 期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 卷号: 59, 期号: 2, 页码: 285-309
作者:  Du, Mingjing;  Ding, Shifei;  Xue, Yu;  Shi, Zhongzhi
收藏  |  浏览/下载:77/0  |  提交时间:2019/08/16
Clustering analysis  Density peaks clustering  Sensitivity of local density  Density-adaptive distance  
Multimodal correlation deep belief networks for multi-view classification 期刊论文
APPLIED INTELLIGENCE, 2019, 卷号: 49, 期号: 5, 页码: 1925-1936
作者:  Zhang, Nan;  Ding, Shifei;  Liao, Hongmei;  Jia, Weikuan
收藏  |  浏览/下载:76/0  |  提交时间:2019/08/16
Restricted boltzmann machines  Deep belief networks  Multi-view learning  Canonical correlation analysis  Multimodal learning  
A multiway p-spectral clustering algorithm 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2019, 卷号: 164, 页码: 371-377
作者:  Ding, Shifei;  Cong, Lin;  Hu, Qiankun;  Jia, Hongjie;  Shi, Zhongzhi
收藏  |  浏览/下载:71/0  |  提交时间:2019/04/03
Graph cut criterion  Multi-class partition problem  Local scaling parameter  NJW algorithm  
Research of stacked denoising sparse autoencoder 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 30, 期号: 7, 页码: 2083-2100
作者:  Meng, Lingheng;  Ding, Shifei;  Zhang, Nan;  Zhang, Jian
收藏  |  浏览/下载:64/0  |  提交时间:2019/12/10
Autoencoder  Stacked autoencoders  Feature extraction  Unsupervised learning  Sparse coding  Deep learning  
Extreme learning machine with kernel model based on deep learning 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2017, 卷号: 28, 期号: 8, 页码: 1975-1984
作者:  Ding, Shifei;  Guo, Lili;  Hou, Yanlu
收藏  |  浏览/下载:38/0  |  提交时间:2019/12/12
Extreme learning machine (ELM)  Deep-learning (DL)  Convolutional neural network (CNN)  CKELM  
A Review on Feature Binding Theory and Its Functions Observed in Perceptual Process 期刊论文
COGNITIVE COMPUTATION, 2017, 卷号: 9, 期号: 2, 页码: 194-206
作者:  Ding, Shifei;  Meng, Lingheng;  Han, Youzhen;  Xue, Yu
收藏  |  浏览/下载:37/0  |  提交时间:2019/12/12
Feature binding  Perceptual learning  Synchronous neural oscillations  gamma-band oscillations  Cognitive neuroscience  
An improved multiple birth support vector machine for pattern classification 期刊论文
NEUROCOMPUTING, 2017, 卷号: 225, 页码: 119-128
作者:  Zhang, Xiekai;  Ding, Shifei;  Xue, Yu
收藏  |  浏览/下载:41/0  |  提交时间:2019/12/12
Support vector machine  Twin support vector machine  Multiple birth support vector machine  Multi-class classification  Smoothing technique  
Weight Uncertainty in Boltzmann Machine 期刊论文
Cognitive Computation, 2016, 卷号: 8, 期号: 6, 页码: 1064-1073
作者:  Zhang, Jian;  Ding, Shifei;  Zhang, Nan;  Xue, Yu
收藏  |  浏览/下载:41/0  |  提交时间:2019/12/12
RBM  DBM  DBN  Weight uncertainty