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Dynamic Event-Triggered Control of Continuous-Time Systems With Random Impulses 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2292-2299
作者:  Meng Yao;  Guoliang Wei
Adobe PDF(1200Kb)  |  收藏  |  浏览/下载：123/43  |  提交时间：2023/10/31
Dynamic event-triggered mechanisms  input-to-state stability  networked impulsive systems  random impulses  
Subspace Identification for Closed-Loop Systems With Unknown Deterministic Disturbances 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2248-2257
作者:  Kuan Li;  Hao Luo;  Yuchen Jiang;  Dejia Tang;  Hongyan Yang
Adobe PDF(1548Kb)  |  收藏  |  浏览/下载：162/43  |  提交时间：2023/10/31
Bernstein polynomial  closed-loop system  subspace identification  unknown deterministic disturbances  
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
作者:  Haonan Huang;  Guoxu Zhou;  Naiyao Liang;  Qibin Zhao;  Shengli Xie
Adobe PDF(3206Kb)  |  收藏  |  浏览/下载：169/48  |  提交时间：2023/09/22
Deep matrix factorization (DMF)  diversity  hypergraph regularization  multi-view data representation (MDR)  
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:  Hongyi Lin;  Yang Liu;  Shen Li;  Xiaobo Qu
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载：249/150  |  提交时间：2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1668-1691
作者:  Xinya Wang;  Qian Hu;  Yingsong Cheng;  Jiayi Ma
Adobe PDF(22541Kb)  |  收藏  |  浏览/下载：121/24  |  提交时间：2023/07/20
Deep learning  hyperspectral image  image fusion  image super-resolution  survey  
Tensor Distribution Regression Based on the 3D Conventional Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1628-1630
作者:  Lin Chen;  Xin Luo
Adobe PDF(769Kb)  |  收藏  |  浏览/下载：75/33  |  提交时间：2023/06/14
Local-to-Global Causal Reasoning for Cross-Document Relation Extraction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1608-1621
作者:  Haoran Wu;  Xiuyi Chen;  Zefa Hu;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(2465Kb)  |  收藏  |  浏览/下载：159/50  |  提交时间：2023/06/14
Causal reasoning  cross document  graph reasoning  relation extraction (RE)  
Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Fanghui Bi;  Xin Luo;  Bo Shen;  Hongli Dong;  Zidong Wang
Adobe PDF(2741Kb)  |  收藏  |  浏览/下载：171/63  |  提交时间：2023/05/29
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis (NLFA)  proximal alternating direction method of multipliers  representation learning  
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:  Sibo Cheng;  César Quilodrán-Casas;  Said Ouala;  Alban Farchi;  Che Liu;  Pierre Tandeo;  Ronan Fablet;  Didier Lucor;  Bertrand Iooss;  Julien Brajard;  Dunhui Xiao;  Tijana Janjic;  Weiping Ding;  Yike Guo;  Alberto Carrassi;  Marc Bocquet;  Rossella Arcucci
Adobe PDF(17725Kb)  |  收藏  |  浏览/下载：131/35  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)  
Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1192-1208
作者:  Zheyun Qin;  Xiankai Lu;  Xiushan Nie;  Dongfang Liu;  Yilong Yin;  Wenguan Wang
Adobe PDF(42794Kb)  |  收藏  |  浏览/下载：104/34  |  提交时间：2023/04/26
Embedding learning  generative model  normalizing flows  video instance segmentation (VIS)