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| 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：113/50 | 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：134/54 | 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：163/69 | 提交时间：2023/09/22
Adaptive adjustment consistency and specificity domain adaptation graph embedding geometrical and semantic metrics |
| 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：160/51 | 提交时间：2023/08/10
Curvature regularization deep metric learning (DML) embedding learning geometry flow riemannian metric |
| Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1822-1833
作者: Wei Xu; Chen Zhao; Jie Cheng; Yin Wang; Yiqing Tang; Tao Zhang; Zhiming Yuan; Yisheng Lv; Fei-Yue Wang
Adobe PDF(3484Kb) | 收藏 | 浏览/下载：147/68 | 提交时间：2023/08/10
High-speed railway reinforcement learning train timetable rescheduling Transformer |
| Improved Capon Estimator for High-Resolution DOA Estimation and Its Statistical Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1716-1729
作者: Weiliang Zuo; Jingmin Xin; Changnong Liu; Nanning Zheng; Akira Sano
Adobe PDF(2011Kb) | 收藏 | 浏览/下载：128/55 | 提交时间：2023/07/20
Capon beamformer direction-of-arrival (DOA) estimation large-sample mean-squared-error (MSE) subspace-based methods uniform linear array |
| 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：157/50 | 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：126/17 | 提交时间：2023/06/14
Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset |
| Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1407-1420
作者: Dan Zhang; Qiusheng Lian; Yueming Su; Tengfei Ren
Adobe PDF(35567Kb) | 收藏 | 浏览/下载：84/26 | 提交时间：2023/05/29
Dual prior image reconstruction multi-agent consensus equilibrium (MACE) quanta image sensors (QIS) |
| 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：169/63 | 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 |
