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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：34/11  |  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  
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：47/6  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
GraphCA: Learning From Graph Counterfactual Augmentation for Knowledge Tracing 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2108-2123
作者:  Xinhua Wang;  Shasha Zhao;  Lei Guo;  Lei Zhu;  Chaoran Cui;  Liancheng Xu
Adobe PDF(1627Kb)  |  收藏  |  浏览/下载：110/46  |  提交时间：2023/09/22
Contrastive learning  counterfactual representation  graph neural network  knowledge tracing  
Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Fanghui Bi;  Xin Luo;  Bo Shen;  Hongli Dong;  Zidong Wang
Adobe PDF(2741Kb)  |  收藏  |  浏览/下载：150/56  |  提交时间：2023/05/29
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis (NLFA)  proximal alternating direction method of multipliers  representation learning  
A Survey on Negative Transfer 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 305-329
作者:  Wen Zhang;  Lingfei Deng;  Lei Zhang;  Dongrui Wu
Adobe PDF(2739Kb)  |  收藏  |  浏览/下载：262/103  |  提交时间：2023/01/16
Domain adaptation  domain similarity  negative transfer  positive transfer  transfer learning  
QoS Prediction Model of Cloud Services Based on Deep Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 564-566
作者:  WenJun Huang;  PeiYun Zhang;  YuTong Chen;  MengChu Zhou;  Yusuf Al-Turki;  Abdullah Abusorrah
Adobe PDF(419Kb)  |  收藏  |  浏览/下载：163/63  |  提交时间：2022/03/09
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：235/46  |  提交时间：2021/11/03
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 796-805
作者:  Di Wu;  Xin Luo
Adobe PDF(2415Kb)  |  收藏  |  浏览/下载：144/58  |  提交时间：2021/04/09
High-dimensional and sparse matrix  L1-norm  L2-norm  latent factor model  recommender system  smooth L1-norm  
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：230/54  |  提交时间：2021/04/09
Collaborative filtering (CF)  content-based recommendation  healthcare  recommendation system (RS)  
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:  Xin Luo;  Wen Qin;  Ani Dong;  Khaled Sedraoui;  MengChu Zhou
Adobe PDF(5091Kb)  |  收藏  |  浏览/下载：195/61  |  提交时间：2021/04/09
Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)