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基于自注意力对抗的深度子空间聚类 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 271-281
Authors:  尹明;  吴浩杨;  谢胜利;  杨其宇
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子空间聚类  生成对抗网络  自注意力模型  深度学习  
面向卷积混叠环境下的盲源分离新方法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 5, 页码: 1062-1072
Authors:  解元;  邹涛;  孙为军;  谢胜利
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盲源分离  卷积混叠  独立分量分析  非负矩阵分解  
UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
Authors:  Jiawen Kang;  Junlong Chen;  Minrui Xu;  Zehui Xiong;  Yutao Jiao;  Luchao Han;  Dusit Niyato;  Yongju Tong;  Shengli Xie
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Avatar  blockchain  metaverses  multi-agent deep reinforcement learning  transformer  UAVs  
Diverse Deep Matrix Factorization With Hypergraph Regularization for Multi-View Data Representation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2154-2167
Authors:  Haonan Huang;  Guoxu Zhou;  Naiyao Liang;  Qibin Zhao;  Shengli Xie
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Deep matrix factorization (DMF)  diversity  hypergraph regularization  multi-view data representation (MDR)  
Structured Sparse Coding With the Group Log-regularizer for Key Frame Extraction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1818-1830
Authors:  Zhenni Li;  Yujie Li;  Benying Tan;  Shuxue Ding;  Shengli Xie
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Difference of convex algorithm (DCA)  group log-regularizer  key frame extraction  structured sparse coding  
Neural Information Processing 专著章节/文集论文
出自: Neural Information Processing, Lecture Notes in Computer Science, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA, Newyork, USA:Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, Springer, 2017, 页码: 10636, 10637, 10638, 10639,
Authors:  Derong Liu;  Shengli Xie;  Yuanqing Li;  Dongbin Zhao;  El-Sayed M. El-Alfy
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A Successful Change from TNN to TNNLS and a Very Successful Year 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 1, 页码: 1-7
Authors:  Anderson, Charles;  Azar, Ahmad Taher;  Battistelli, Giorgio;  Bayro-Corrochano, Eduardo;  Cervellera, Cristiano;  Elizondo, David;  Filippone, Maurizio;  Gnecco, Giorgio;  Hu, Xiaolin;  Huang, Tingwen;  Liu, Weifeng;  Lu, Wenlian;  Madureira, Ana Maria;  Skrjanc, Igor;  Villmann, Thomas;  Wu, Jonathan;  Xie, Shengli;  Xu, Dong;  Liu, Derong
Favorite  |  View/Download:263/0  |  Submit date:2015/08/12