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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 |