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A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 2, 页码: 802-814
作者:  Wu, Di;  Zhang, Peng;  He, Yi;  Luo, Xin
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
Web service  service selection  Quality-of-Service (QoS)  latent factor analysis  missing data prediction  big data  
Joint hyperbolic and Euclidean geometry contrastive graph neural networks 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 609, 页码: 799-815
作者:  Xu, Xiaoyu;  Pang, Guansong;  Wu, Di;  Shang, Mingsheng
收藏  |  浏览/下载：99/0  |  提交时间：2022/10/14
Graph neural networks  Hyperbolic embedding  Contrastive learning  Graph representation learning  
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 2, 页码: 793-805
作者:  Wu, Di;  He, Qiang;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin
收藏  |  浏览/下载：50/0  |  提交时间：2022/08/22
Web service  quality-of-service  latent factor analysis  posterior-neighborhood  regularization  cloud computing  big data  
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
作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Zhou, MengChu
收藏  |  浏览/下载：204/0  |  提交时间：2021/08/20
Big data  deep model  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  recommender system (RS)  
An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Wang, Zidong
收藏  |  浏览/下载：42/0  |  提交时间：2022/08/22
High-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  L-1 norm  L-2 norm  recommender system (RS)  
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:  Wu, Di;  Luo, Xin
收藏  |  浏览/下载：82/0  |  提交时间：2021/05/17
High-dimensional and sparse matrix  L-1-norm  L-2-norm  latent factor model  recommender system  smooth L-1-norm  
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Wu, Di;  Liu, Zhigang;  Shang, Mingsheng
收藏  |  浏览/下载：147/0  |  提交时间：2021/05/17
Data models  Training  Sparse matrices  Recommender systems  Computational modeling  Big Data  Scalability  Non-negative latent factor analysis  non-negativity  latent factor analysis  unconstrained optimization  high-dimensional and sparse matrix  collaborative filtering  recommender system  big data  
A data-aware latent factor model for web service Qos prediction 会议论文
23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, Macau, China, April 14, 2019 - April 17, 2019
作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Wu, Xindong
收藏  |  浏览/下载：169/0  |  提交时间：2020/02/18
Supervised data synthesizing and evolving-a framework for real-world traffic crash severity classification 会议论文
30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, Volos, Greece, November 5, 2018 - November 7, 2018
作者:  He, Yi;  Wu, Di;  Beyazit, Ege;  Sun, Xiaoduan;  Wu, Xindong
Adobe PDF(786Kb)  |  收藏  |  浏览/下载：101/0  |  提交时间：2019/06/25
A fast method to evaluate water eutrophication 期刊论文
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2016, 卷号: 23, 期号: 12, 页码: 3204-3216
作者:  Yan Hu-yong;  Wang Guo-yin;  Zhang Xue-rui;  Dong Jian-hua;  Shan Kun;  Wu Di;  Huang Yu;  Zhou Bo-tian;  Su Yu-ting
Adobe PDF(910Kb)  |  收藏  |  浏览/下载：129/0  |  提交时间：2018/03/15
rough set theory  petri nets  eutrophication