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What Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 809-815
作者:  Fei-Yue Wang;  Qinghai Miao;  Lingxi Li;  Qinghua Ni;  Xuan Li;  Juanjuan Li;  Lili Fan;  Yonglin Tian;  Qing-Long Han
Adobe PDF(571Kb)  |  收藏  |  浏览/下载：13/3  |  提交时间：2024/03/18
Feature Matching via Topology-Aware Graph Interaction Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 113-130
作者:  Yifan Lu;  Jiayi Ma;  Xiaoguang Mei;  Jun Huang;  Xiao-Ping Zhang
Adobe PDF(26799Kb)  |  收藏  |  浏览/下载：225/159  |  提交时间：2024/01/02
Feature matching  graph cut  outlier filtering  topology preserving  
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  
An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 88-102
作者:  Changbing Tang;  Baosen Yang;  Xiaodong Xie;  Guanrong Chen;  Mohammed A. A. Al-qaness;  Yang Liu
Adobe PDF(2968Kb)  |  收藏  |  浏览/下载：171/130  |  提交时间：2024/01/02
Federated learning (FL)  game theory  incentive mechanism  machine learning  zero-determinant strategy  
Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 74-87
作者:  Bogang Qu;  Zidong Wang;  Bo Shen;  Hongli Dong;  Hongjian Liu
Adobe PDF(2856Kb)  |  收藏  |  浏览/下载：103/59  |  提交时间：2024/01/02
Decentralized state estimation (SE)  measurements with anomalies  minimum error entropy  unscented Kalman filter  wide-area power systems  
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：24/6  |  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：20/8  |  提交时间：2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision 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：25/9  |  提交时间：2024/03/18
Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries  
Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots: A Barrier Function Sliding Mode Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1007-1021
作者:  Yunjun Zheng;  Jinchuan Zheng;  Ke Shao;  Han Zhao;  Hao Xie;  Hai Wang
Adobe PDF(32944Kb)  |  收藏  |  浏览/下载：14/3  |  提交时间：2024/03/18
Adaptive sliding mode  barrier function  nonholonomic wheeled mobile robot (NWMR)  trajectory tracking control  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：16/4  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks