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Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：26/1  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 121-144
作者:  Guo-Yin Wang;  Dong-Dong Cheng;  De-You Xia;  Hai-Huan Jiang
Adobe PDF(2487Kb)  |  收藏  |  浏览/下载：28/8  |  提交时间：2024/04/23
Swarm intelligence  single-population  multi-population  human-machine hybrid  multi-granularity  
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:  Hongyi Lin;  Yang Liu;  Shen Li;  Xiaobo Qu
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载：174/102  |  提交时间：2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
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：144/64  |  提交时间：2023/04/26
Big data analysis.  cryptocurrency transaction network embedding (CTNE)  dynamic network  network embedding  network representation  static network  
A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 584-602
作者:  Boqian Li;  Shiping Wen;  Zheng Yan;  Guanghui Wen;  Tingwen Huang
Adobe PDF(2663Kb)  |  收藏  |  浏览/下载：492/328  |  提交时间：2023/03/02
Control barrier function (CBF)  control Lyapunov function (CLF)  nonlinear-affine control systems  
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：281/71  |  提交时间：2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction  
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：159/33  |  提交时间：2022/04/24
Crowdsourcing  data fusion  learning from crowds  learning paradigms  learning with uncertainty  
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 533-546
作者:  Hao Wu;  Xin Luo;  MengChu Zhou;  Muhyaddin J. Rawa;  Khaled Sedraoui;  Aiiad Albeshri
Adobe PDF(2495Kb)  |  收藏  |  浏览/下载：236/63  |  提交时间：2022/03/09
Big data  high dimensional and incomplete (HDI) tensor  latent factorization-of-tensors (LFT)  machine learning  missing data  optimization  proportional-integral-derivative (PID) controller  
Variational Gridded Graph Convolution Network for Node Classification 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1697-1708
作者:  Xiaobin Hong;  Tong Zhang;  Zhen Cui;  Jian Yang
Adobe PDF(2419Kb)  |  收藏  |  浏览/下载：133/40  |  提交时间：2021/09/03
Graph coarsening  gridding  node classification  random walk  variational convolution  
An Overview of Recommendation Techniques and Their Applications in Healthcare 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 701-717
作者:  Wenbin Yue;  Zidong Wang;  Jieyu Zhang;  Xiaohui Liu
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载：226/53  |  提交时间：2021/04/09
Collaborative filtering (CF)  content-based recommendation  healthcare  recommendation system (RS)