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| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:28/7  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981 作者: Yong-Chao Li; Rui-Sheng Jia; Ying-Xiang Hu; Hong-Mei Sun Adobe PDF(10448Kb)  |  收藏  |  浏览/下载:21/8  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |
| 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:11/2  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 252-254 作者: Chenliang Liu; Yalin Wang; Chunhua Yang; Weihua Gui Adobe PDF(661Kb)  |  收藏  |  浏览/下载:176/109  |  提交时间:2024/01/02 |
| Reinforcement Learning in Process Industries: Review and Perspective 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300 作者: Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang Adobe PDF(1275Kb)  |  收藏  |  浏览/下载:37/13  |  提交时间:2024/01/23 Process control process systems engineering reinforcement learning |
| A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 487-501 作者: Nianyin Zeng; Xinyu Li; Peishu Wu; Han Li; Xin Luo Adobe PDF(12478Kb)  |  收藏  |  浏览/下载:56/16  |  提交时间:2024/01/23 Attention mechanism knowledge distillation (KD) object detection tensor decomposition (TD) unmanned aerial vehicles (UAVs) |
| 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:53/12  |  提交时间:2024/01/23 Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs |
| 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:100/23  |  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 |
| Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1105-1121 作者: Yue Zhou; Xin Luo; MengChu Zhou Adobe PDF(1723Kb)  |  收藏  |  浏览/下载:122/61  |  提交时间:2023/04/26 Big data analysis. cryptocurrency transaction network embedding (CTNE) dynamic network network embedding network representation static network |
| 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:70/32  |  提交时间:2023/09/22 Bounded denoiser compressed sensing magnetic resonance imaging (CSMRI) dual frames plug-and-play priors regularization |