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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  
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2233-2247
作者:  Hongyu Ding;  Yuanze Tang;  Qing Wu;  Bo Wang;  Chunlin Chen;  Zhi Wang
Adobe PDF(5205Kb)  |  收藏  |  浏览/下载：125/40  |  提交时间：2023/10/31
Dynamic environments  goal-conditioned reinforcement learning  magnetic field  reward shaping  
Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2222-2232
作者:  Juanjuan Li;  Junqing Li;  Xiao Wang;  Rui Qin;  Yong Yuan;  Fei-Yue Wang
Adobe PDF(2004Kb)  |  收藏  |  浏览/下载：208/85  |  提交时间：2023/10/31
Auction  data trading markets  multi-blockchain  pricing mechanisms  
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)  
Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2136-2153
作者:  Baoshun Shi;  Kexun Liu
Adobe PDF(16304Kb)  |  收藏  |  浏览/下载：109/47  |  提交时间：2023/09/22
Bounded denoiser  compressed sensing magnetic resonance imaging (CSMRI)  dual frames  plug-and-play priors  regularization  
GraphCA: Learning From Graph Counterfactual Augmentation for Knowledge Tracing 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2108-2123
作者:  Xinhua Wang;  Shasha Zhao;  Lei Guo;  Lei Zhu;  Chaoran Cui;  Liancheng Xu
Adobe PDF(1627Kb)  |  收藏  |  浏览/下载：128/51  |  提交时间：2023/09/22
Contrastive learning  counterfactual representation  graph neural network  knowledge tracing  
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：308/176  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Competitive Meta-Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1902-1904
作者:  Boxi Weng;  Jian Sun;  Gao Huang;  Fang Deng;  Gang Wang;  Jie Chen
Adobe PDF(608Kb)  |  收藏  |  浏览/下载：165/67  |  提交时间：2023/08/10
Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892
作者:  Yangyang Li;  Chaoqun Fei;  Chuanqing Wang;  Hongming Shan;  Ruqian Lu
Adobe PDF(1815Kb)  |  收藏  |  浏览/下载：154/50  |  提交时间：2023/08/10
Curvature regularization  deep metric learning (DML)  embedding learning  geometry flow  riemannian metric