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Maneuvering Angle Rigid Formations With Global Convergence Guarantees 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1464-1475
作者:  Liangming Chen;  Zhiyun Lin;  Hector Garcia de Marina;  Zhiyong Sun;  Mir Feroskhan
Adobe PDF(2977Kb)  |  收藏  |  浏览/下载：130/41  |  提交时间：2022/08/01
Angle rigid formations  formation control  formation maneuvering  global convergence  multi-agent systems  
Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 749-762
作者:  Jing Zhang
Adobe PDF(1291Kb)  |  收藏  |  浏览/下载：139/28  |  提交时间：2022/04/24
Crowdsourcing  data fusion  learning from crowds  learning paradigms  learning with uncertainty  
Cooperative and Competitive Multi-Agent Systems: From Optimization to Games 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 763-783
作者:  Jianrui Wang;  Yitian Hong;  Jiali Wang;  Jiapeng Xu;  Yang Tang;  Qing-Long Han;  Jürgen Kurths
Adobe PDF(8407Kb)  |  收藏  |  浏览/下载：189/53  |  提交时间：2022/04/24
Cooperative games  counterfactual regret min- imization  distributed optimization  federated optimization  fictitious self-play  mean field games  multi-agent reinforcement learning  non-cooperative games  
Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 949-966
作者:  Diego García-Zamora;  Álvaro Labella;  Weiping Ding;  Rosa M. Rodríguez;  Luis Martínez
Adobe PDF(11684Kb)  |  收藏  |  浏览/下载：126/14  |  提交时间：2022/05/30
Challenges  large-scale consensus models  large-scale group decision making (LSGDM)  systematic review  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Xin Liu;  Mingyu Yan;  Lei Deng;  Guoqi Li;  Xiaochun Ye;  Dongrui Fan
Adobe PDF(2300Kb)  |  收藏  |  浏览/下载：215/39  |  提交时间：2021/11/03
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
Causal Reasoning Meets Visual Representation Learning: A Prospective Study 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 485-511
作者:  Yang Liu;  Yu-Shen Wei;  Hong Yan;  Guan-Bin Li;  Liang Lin
Adobe PDF(3224Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/23
Causal reasoning  visual representation learning  reliable artificial intelligence  spatial-temporal data  multi-modal analysis