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Privacy-preserving and Communication-efficient Convolutional Neural Network Prediction Framework in Mobile Cloud Computing 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2021, 卷号: 15, 期号: 12, 页码: 4345-4363
作者:  Bai, Yanan;  Feng, Yong;  Wul, Wenyuan
收藏  |  浏览/下载：77/0  |  提交时间：2022/08/22
Privacy Preservation  Convolutional Neural Networks  Homomorphic Encryption  Mobile Cloud Computing  Deep Learning  
Prediction of Potentially Suitable Distributions of Codonopsis pilosula in China Based on an Optimized MaxEnt Model 期刊论文
FRONTIERS IN ECOLOGY AND EVOLUTION, 2021, 卷号: 9, 页码: 17
作者:  Yan, Huyong;  He, Jiao;  Xu, Xiaochuan;  Yao, Xinyu;  Wang, Guoyin;  Tang, Lianggui;  Feng, Lei;  Zou, Limin;  Gu, Xiaolong;  Qu, Yingfei;  Qu, Linfa
收藏  |  浏览/下载：51/0  |  提交时间：2022/08/22
optimized MaxEnt  Codonopsis pilosula  regularization multiplier  feature combination  potential distribution  multivariate environmental similarity surface analysis  
An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Luo, Xin;  Zhong, Yurong;  Wang, Zidong;  Li, Maozhen
收藏  |  浏览/下载：56/0  |  提交时间：2022/08/22
Symmetric matrices  Computational modeling  Data models  Analytical models  Training  Learning systems  Convergence  Alternating-direction-method of multipliers (ADMM)  learning system  missing data  non-negative latent factor analysis (NLFA)  symmetric high-dimensional and incomplete matrix (SHDI)  undirected weighted network  
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
作者:  Xin, Luo;  Yuan, Ye;  Zhou, MengChu;  Liu, Zhigang;  Shang, Mingsheng
收藏  |  浏览/下载：130/0  |  提交时间：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  
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)  
Rapid urbanization effects on partial pressure and emission of CO2 in three rivers with different urban intensities 期刊论文
ECOLOGICAL INDICATORS, 2021, 卷号: 125, 页码: 10
作者:  Tang, Wei;  Xu, Y. Jun;  Li, Siyue
收藏  |  浏览/下载：158/0  |  提交时间：2021/05/17
Urbanization gradient  PCO2 and CO2 fluxes  Heterotrophic bacteria  Prediction models  Aquatic carbon indicators  Three Gorges Reservoir (TGR) area  
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)  
Application of network link prediction in drug discovery 期刊论文
BMC Bioinformatics, 2021, 卷号: 22, 期号: 1
作者:  Abbas,Khushnood;  Abbasi,Alireza;  Dong,Shi;  Niu,Ling;  Yu,Laihang;  Chen,Bolun;  Cai,Shi-Min;  Hasan,Qambar
收藏  |  浏览/下载：49/0  |  提交时间：2021/05/17
Data-driven drug discovery  Network link prediction  Poly-pharmacy  Poly-pharmacy side effects prediction  Drug-target prediction  
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：148/0  |  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