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| Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1458-1475 作者: Jing Liang; Hongyu Lin; Caitong Yue; Ponnuthurai Nagaratnam Suganthan; Yaonan Wang Adobe PDF(2268Kb)  |  收藏  |  浏览/下载:13/6  |  提交时间:2024/05/22 Benchmark functions diversity measure evolutionary algorithms multimodal multiobjective optimization |
| A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357 作者: Sheng Qi; Rui Wang; Tao Zhang; Xu Yang; Ruiqing Sun; Ling Wang Adobe PDF(3038Kb)  |  收藏  |  浏览/下载:20/6  |  提交时间:2024/05/22 Evolutionary algorithms learning swarm optimization sparse large-scale optimization sparse large-scale multi-objective problems two-layer encoding |
| MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1139-1150 作者: Qian Hu; Jiayi Ma; Yuan Gao; Junjun Jiang; Yixuan Yuan Adobe PDF(10937Kb)  |  收藏  |  浏览/下载:24/4  |  提交时间:2024/04/10 Compressive imaging deep unfolding network hyperspectral image |
| 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:28/2  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| 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:48/24  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |
| Security and Privacy in Solar Insecticidal Lamps Internet of Things: Requirements and Challenges 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 58-73 作者: Qingsong Zhao; Lei Shu; Kailiang Li; Mohamed Amine Ferrag; Ximeng Liu; Yanbin Li Adobe PDF(3374Kb)  |  收藏  |  浏览/下载:246/172  |  提交时间:2024/01/02 Challenges Internet of Things (IoT) privacy and security security requirements solar insecticidal lamps (SIL) |
| Orientation and Decision-Making for Soccer Based on Sports Analytics and AI: A Systematic Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 37-57 作者: Zhiqiang Pu; Yi Pan; Shijie Wang; Boyin Liu; Min Chen; Hao Ma; Yixiong Cui Adobe PDF(3690Kb)  |  收藏  |  浏览/下载:420/324  |  提交时间:2024/01/02 Artificial intelligence (AI) decision-making football review soccer sports analytics |
| 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:122/25  |  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 |
| 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:127/51  |  提交时间:2023/09/22 Adaptive adjustment consistency and specificity domain adaptation graph embedding geometrical and semantic metrics |
| Privacy Preserving Demand Side Management Method via Multi-Agent Reinforcement Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1984-1999 作者: Feiye Zhang; Qingyu Yang; Dou An Adobe PDF(3841Kb)  |  收藏  |  浏览/下载:83/42  |  提交时间:2023/09/07 Centralized training and decentralized execution demand side management multi-agent reinforcement learning privacy preserving |