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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：164/47  |  提交时间：2023/09/22
Deep matrix factorization (DMF)  diversity  hypergraph regularization  multi-view data representation (MDR)  
Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2094-2107
作者:  Shaohua Teng;  Zefeng Zheng;  Naiqi Wu;  Luyao Teng;  Wei Zhang
Adobe PDF(1786Kb)  |  收藏  |  浏览/下载：156/67  |  提交时间：2023/09/22
Adaptive adjustment  consistency and specificity  domain adaptation  graph embedding  geometrical and semantic metrics  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：306/175  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
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  
Evolutionary Multitasking With Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1951-1964
作者:  Kangjia Qiao;  Jing Liang;  Zhongyao Liu;  Kunjie Yu;  Caitong Yue;  Boyang Qu
Adobe PDF(3148Kb)  |  收藏  |  浏览/下载：114/45  |  提交时间：2023/09/07
Constrained multi-objective optimization  evolutionary multitasking (EMT)  global auxiliary task  knowledge transfer  local auxiliary task  
Deep Transfer Ensemble Learning-Based Diagnostic of Lithium-Ion Battery 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1899-1901
作者:  Dongxu Ji;  Zhongbao Wei;  Chenyang Tian;  Haoran Cai;  Junhua Zhao
Adobe PDF(2682Kb)  |  收藏  |  浏览/下载：109/37  |  提交时间：2023/08/10
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：127/62  |  提交时间：2023/08/10
Bi-objective optimization  feature selection (FS)  genetic algorithm  high-dimensional data  length-adaptive  
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：148/48  |  提交时间：2023/06/14
Causal reasoning  cross document  graph reasoning  relation extraction (RE)  
Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607
作者:  Lili Fan;  Shen Li;  Ying Li;  Bai Li;  Dongpu Cao;  Fei-Yue Wang
Adobe PDF(23502Kb)  |  收藏  |  浏览/下载：123/16  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset