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| Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2269-2291
作者: Zefeng Zheng; Luyao Teng; Wei Zhang ; Naiqi Wu; Shaohua Teng
 Adobe PDF(15412Kb) |  收藏 | 浏览/下载：146/27 | 提交时间：2023/10/31
Cross-domain risk dual density sampling intra-domain risk maximum mean discrepancy knowledge transfer learning resource-limited domain adaptation |
| 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：165/47 | 提交时间：2023/09/22
Deep matrix factorization (DMF) diversity hypergraph regularization multi-view data representation (MDR) |
| Privacy Preserving Demand Side Management Method via Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1984-1999
作者: Feiye Zhang; Qingyu Yang; Dou An
Adobe PDF(3841Kb) | 收藏 | 浏览/下载：109/59 | 提交时间：2023/09/07
Centralized training and decentralized execution demand side management multi-agent reinforcement learning privacy preserving |
| A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844
作者: Yanlu Gong; Junhai Zhou; Quanwang Wu; MengChu Zhou; Junhao Wen
Adobe PDF(1308Kb) | 收藏 | 浏览/下载：130/63 | 提交时间：2023/08/10
Bi-objective optimization feature selection (FS) genetic algorithm high-dimensional data length-adaptive |
| Input Structure Design for Structural Controllability of Complex Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1571-1581
作者: Lifu Wang; Zhaofei Li; Guotao Zhao; Ge Guo; Zhi Kong
 Adobe PDF(2572Kb) | 收藏 | 浏览/下载：109/40 | 提交时间：2023/06/14
Complex network input configuration minimum controlled node set structural controllability |
| Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461
作者: Xiaoyu Jiang; Xiangyin Kong; Zhiqiang Ge
Adobe PDF(25936Kb) | 收藏 | 浏览/下载：135/43 | 提交时间：2023/05/29
Curse of dimensionality data augmentation data-driven modeling industrial processes machine 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：127/33 | 提交时间：2023/05/29
Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |
| ChatGPT Chats on Computational Experiments: From Interactive Intelligence to Imaginative Intelligence for Design of Artificial Societies and Optimization of Foundational Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1357-1360
作者: Xiao Xue; Xiangning Yu; Fei-Yue Wang
Adobe PDF(1111Kb) | 收藏 | 浏览/下载：100/33 | 提交时间：2023/05/29 |
| Maximum Correntropy Kalman Filtering for Non-Gaussian Systems With State Saturations and Stochastic Nonlinearities 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1223-1233
作者: Bo Shen; Xuelin Wang; Lei Zou
Adobe PDF(1546Kb) | 收藏 | 浏览/下载：145/52 | 提交时间：2023/04/26
Fixed-point theorem maximum correntropy criterion non-Gaussian noises state saturations stochastic nonlinearities |
| 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：98/29 | 提交时间：2023/04/26
Embedding learning generative model normalizing flows video instance segmentation (VIS) |
