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Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14
Authors:  Qin, Wen;  Luo, Xin;  Li, Shuai;  Zhou, MengChu
Favorite  |  View/Download：28/0  |  Submit date：2023/12/25
Adaptation models  Training  Data models  Convergence  Stochastic processes  Sparse matrices  Tuning  Big data  latent factor analysis  Index Terms  adaptive model  parallelization  machine learning  stochastic gradient descent  high-dimensional and incomplete matrix  
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
Authors:  Zhou, Yue;  Luo, Xin;  Zhou, MengChu
Favorite  |  View/Download：20/0  |  Submit date：2023/12/25
Measurement  Systematics  Protocols  Big Data  Market research  Cryptocurrency  Blockchains  Big data analysis  cryptocurrency transaction network embedding (CTNE)  dynamic network  network embedding  network representation  static network  
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
Authors:  Luo, Xin;  Zhou, Yue;  Liu, Zhigang;  Hu, Lun;  Zhou, MengChu
Favorite  |  View/Download：102/0  |  Submit date：2022/12/26
Computational modeling  Acceleration  Sparse matrices  Adaptation models  Training  Data models  Convergence  Services computing  service application  big data  latent factor analysis  non-negative latent factor model  high-dimensional and sparse matrix  recommender system  missing data  
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
Authors:  Wu, Hao;  Luo, Xin;  Zhou, MengChu;  Rawa, Muhyaddin J.;  Sedraoui, Khaled;  Albeshri, Aiiad
Favorite  |  View/Download：69/0  |  Submit date：2022/08/22
Big data  high dimensional and incomplete (HDI) tensor  latent factorization-of-tensors (LFT)  machine learning  missing data  optimization  proportional-integral-derivative (PID) controller  
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 15
Authors:  Wu, Di;  He, Yi;  Luo, Xin;  Zhou, MengChu
Favorite  |  View/Download：54/0  |  Submit date：2022/08/22
Big data  computational intelligence  latent factor analysis (LFA)  missing data  online algorithm  online feature selection  sparse streaming feature  streaming feature  
Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623
Authors:  Xin, Luo;  Yuan, Ye;  Zhou, MengChu;  Liu, Zhigang;  Shang, Mingsheng
Favorite  |  View/Download：138/0  |  Submit date：2021/08/20
beta-divergence  big data  high-dimensional and sparse (HiDS) matrix  industrial application  learning algorithm  non-negative latent factor (NLF) analysis  recommender system  
Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 3, 页码: 1012-1025
Authors:  Peng, Qinglan;  Xia, Yunni;  Zhou, MengChu;  Luo, Xin;  Wang, Shu;  Wang, Yuandou;  Wu, Chunrong;  Pang, Shanchen;  Lin, Mingwei
Favorite  |  View/Download：184/0  |  Submit date：2021/08/20
Reliability  Mobile handsets  Mobile applications  Device-to-device communication  Cloud computing  Service computing  Quality of service  Intelligent optimization  Krill-Herd algorithm  mobile computing  mobile opportunistic network  mobile service composition  service reliability  
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296
Authors:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Zhou, MengChu
Favorite  |  View/Download：216/0  |  Submit date：2021/08/20
Big data  deep model  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  recommender system (RS)  
An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
Authors:  Shang, Mingsheng;  Yuan, Ye;  Luo, Xin;  Zhou, MengChu
Favorite  |  View/Download：67/0  |  Submit date：2022/08/22
Computational modeling  Sparse matrices  Convergence  Data models  Predictive models  Linear programming  Euclidean distance  -divergence  big data  convergence analysis  high-dimensional and sparse (HiDS) data  momentum  machine learning  missing data estimation  non-negative latent factor analysis (NLFA)  recommender system (RS)  
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926
Authors:  Luo, Xin;  Wang, Dexian;  Zhou, MengChu;  Yuan, Huaqiang
Favorite  |  View/Download：75/0  |  Submit date：2021/03/17
Big data  bi-linear  collaborative filtering (CF)  high-dimensional and sparse (HiDS) matrix  industry  latent factor (LF) analysis  missing data  recommender system