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Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 14
作者:  Luo, Xin;  Chen, Jiufang;  Yuan, Ye;  Wang, Zidong
收藏  |  浏览/下载：49/0  |  提交时间：2024/02/23
High-dimensional and incomplete (HDI) data  hyperparameter adaptation  latent factor analysis (LFA)  network representation  particle swarm optimization (PSO)  
Improved Deep Learning Predictions for Chlorophyll Fluorescence Based on Decomposition Algorithms: The Importance of Data Preprocessing 期刊论文
WATER, 2023, 卷号: 15, 期号: 23, 页码: 19
作者:  Wang, Lan;  Xie, Mingjiang;  Pan, Min;  He, Feng;  Yang, Bing;  Gong, Zhigang;  Wu, Xuke;  Shang, Mingsheng;  Shan, Kun
收藏  |  浏览/下载：199/0  |  提交时间：2024/01/17
chlorophyll fluorescence  deep learning  online monitoring  time-series decomposition  Dianchi Lake  
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2023, 卷号: 9, 期号: 3, 页码: 889-903
作者:  Chen, Minzhi;  He, Chunlin;  Luo, Xin
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/25
Tensors  Data models  Computational modeling  Adaptation models  Analytical models  Big Data  Heuristic algorithms  Dynamic weighted directed network  high-dimensional and incomplete tensor  non-negative latent-factorization-of-tensors  linear bias  high dimensional and incomplete  momentum method  particle swarm optimization  adaptive model  
A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 9, 页码: 3473-3485
作者:  Hu, Lun;  Pan, Xiangyu;  Tang, Zehai;  Luo, Xin
收藏  |  浏览/下载：98/0  |  提交时间：2022/10/14
Complex network  computational intelligence  data science  fuzzy clustering  generalized momentum  
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
作者:  Luo, Xin;  Zhou, Yue;  Liu, Zhigang;  Hu, Lun;  Zhou, MengChu
收藏  |  浏览/下载：76/0  |  提交时间：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  
Anthropogenic land use substantially increases riverine CO2 emissions 期刊论文
JOURNAL OF ENVIRONMENTAL SCIENCES, 2022, 卷号: 118, 页码: 158-170
作者:  Gu, Shijie;  Li, Siyue;  Santos, Isaac R.
收藏  |  浏览/下载：59/0  |  提交时间：2022/08/22
River carbon  Inland waters  Greenhouse gases  Climate change  Water quality  Headwater streams  
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Yuan, Ye;  Luo, Xin;  Shang, Mingsheng;  Wang, Zidong
收藏  |  浏览/下载：63/0  |  提交时间：2022/08/22
Quality of service  Data models  Kalman filters  Estimation  Computational modeling  Web services  Heuristic algorithms  Alternating least squares (ALSs)  computational intelligence  data science  dynamic latent factor analysis (LFA)  dynamics  intelligent computing  Kalman filter  temporal pattern  Web service  
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis 期刊论文
Journal of Big Data, 2022, 卷号: 9, 期号: 1
作者:  Li,Qing;  Pang,Guansong;  Shang,Mingsheng
收藏  |  浏览/下载：47/0  |  提交时间：2022/08/22
Big data analysis  Latent factor analysis  Simulated annealing  Differential evolution algorithm  Multi-parameter adaptive  
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng
收藏  |  浏览/下载：74/0  |  提交时间：2022/08/22
Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model  
Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 3, 页码: 1334-1344
作者:  Wu, Hao;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载：63/0  |  提交时间：2022/08/22
High-dimensional and sparse tensor  missing data  latent factor analysis  temporal pattern  non-negativity  non-negative latent factorization of tensor  regularization  ensemble  services computing