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Combined Physical Process and Deep Learning for Daily Water Level Simulations across Multiple Sites in the Three Gorges Reservoir, China 期刊论文
WATER, 2023, 卷号: 15, 期号: 18, 页码: 16
作者:  Xie, Mingjiang;  Shan, Kun;  Zeng, Sidong;  Wang, Lan;  Gong, Zhigang;  Wu, Xuke;  Yang, Bing;  Shang, Mingsheng
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25
water level prediction  Three Gorges Reservoir  deep learning  hybrid model  
Revealing Physiochemical Factors and Zooplankton Influencing Microcystis Bloom Toxicity in a Large-Shallow Lake Using Bayesian Machine Learning 期刊论文
TOXINS, 2022, 卷号: 14, 期号: 8, 页码: 16
作者:  Wang, Xiaoxiao;  Wang, Lan;  Shang, Mingsheng;  Song, Lirong;  Shan, Kun
收藏  |  浏览/下载：112/0  |  提交时间：2022/10/14
Microcystis blooms  microcystins  nutrient  zooplankton  machine learning  risk management  Lake Taihu  
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  
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
作者:  Shang, Mingsheng;  Yuan, Ye;  Luo, Xin;  Zhou, MengChu
收藏  |  浏览/下载：52/0  |  提交时间：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)  
Use statistical machine learning to detect nutrient thresholds in Microcystis blooms and microcystin management 期刊论文
HARMFUL ALGAE, 2020, 卷号: 94, 页码: 10
作者:  Shan, Kun;  Wang, Xiaoxiao;  Yang, Hong;  Zhou, Botian;  Song, Lirong;  Shang, Mingsheng
收藏  |  浏览/下载：156/0  |  提交时间：2020/08/24
Bayesian modelling  Eutrophication  Nutrient thresholds  Cyanobacterial blooms  Microcystis  Microcystin  
A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label 会议论文
15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, July 20, 2019 - July 22, 2019
作者:  Luo, Mengzhen;  Shi, Xiaoyu;  Ji, Qianqian;  Shang, Mingsheng;  He, Xianbo;  Tao, Weiguo
收藏  |  浏览/下载：393/0  |  提交时间：2020/02/18
DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 60186-60198
作者:  Wang, Qingxian;  Peng, Binbin;  Shi, Xiaoyu;  Shang, Tianqi;  Shang, Mingsheng
Adobe PDF(4751Kb)  |  收藏  |  浏览/下载：142/0  |  提交时间：2019/06/24
Recommender systems  collaborative filtering  rating prediction  denoising autoencoders  multi layered perceptron  
Self-training semi-supervised classification based on density peaks of data 期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 180-191
作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Xu, Ji;  Yan, Huyong;  Deng, Weihui;  Wang, Guoyin
收藏  |  浏览/下载：165/0  |  提交时间：2018/03/05
Density peaks  Self-training  Semi-supervised classification  Supervised learning  
On minimizing total energy consumption in the scheduling of virtual machine reservations 期刊论文
Journal of Network and Computer Applications, 2018, 卷号: 113, 页码: 64-74
作者:  Tian, Wenhong;  He, Majun;  Guo, Wenxia;  Huang, Wenqiang;  Shi, Xiaoyu;  Shang, Mingsheng;  Toosi, Adel Nadjaran;  Buyya, Rajkumar
Adobe PDF(4775Kb)  |  收藏  |  浏览/下载：137/0  |  提交时间：2019/06/26
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文
IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(805Kb)  |  收藏  |  浏览/下载：414/0  |  提交时间：2019/06/26