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Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169
作者:  Rui Wang;  Zhiming Zhou;  Kaiwen Li;  Tao Zhang;  Ling Wang;  Xin Xu;  Xiangke Liao
Adobe PDF(1841Kb)  |  收藏  |  浏览/下载:212/151  |  提交时间:2024/01/02
Branch-and-bound (B&B)  combinatorial optimization  deep learning  graph neural network  imitation learning  
Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995
作者:  Tao Wang;  Qiming Chen;  Xun Lang;  Lei Xie;  Peng Li;  Hongye Su
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载:24/8  |  提交时间:2024/03/18
Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries  
Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931
作者:  Fei Ming;  Wenyin Gong;  Ling Wang;  Yaochu Jin
Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:19/6  |  提交时间:2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection  
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945
作者:  Bin Yang;  Yaguo Lei;  Xiang Li;  Naipeng Li;  Asoke K. Nandi
Adobe PDF(18822Kb)  |  收藏  |  浏览/下载:15/4  |  提交时间:2024/03/18
Deep transfer learning  domain adaptation  incorrect label annotation  intelligent fault diagnosis  rotating machines  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:6/1  |  提交时间:2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(8541Kb)  |  收藏  |  浏览/下载:212/152  |  提交时间:2024/01/02
Content-based Transformer  deep learning  feature aggregator  local attention  point cloud classification  
UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者:  Jiawen Kang;  Junlong Chen;  Minrui Xu;  Zehui Xiong;  Yutao Jiao;  Luchao Han;  Dusit Niyato;  Yongju Tong;  Shengli Xie
Adobe PDF(6097Kb)  |  收藏  |  浏览/下载:45/12  |  提交时间:2024/01/23
Avatar  blockchain  metaverses  multi-agent deep reinforcement learning  transformer  UAVs  
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:  Zebing Wei;  Hongxia Zhao;  Zhishuai Li;  Xiaojie Bu;  Yuanyuan Chen;  Xiqiao Zhang;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(7068Kb)  |  收藏  |  浏览/下载:229/60  |  提交时间:2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction  
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 78-89
作者:  Xinya Wang;  Jiayi Ma;  Junjun Jiang
Adobe PDF(11082Kb)  |  收藏  |  浏览/下载:147/44  |  提交时间:2023/01/03
Blind super-resolution  contrastive learning  deep learning  image super-resolution (SR)  
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:97/35  |  提交时间:2023/08/10
Curvature regularization  deep metric learning (DML)  embedding learning  geometry flow  riemannian metric