Mingsheng Shang

发表

User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop

Zhi-Dan Zhao, Mingsheng Shang, Mingsheng Shang, 2010, 2010 Third International Conference on Knowledge Discovery and Data Mining.

A Deep Temporal Collaborative Filtering Recommendation Framework via Joint Learning from Long and Short-Term Effects

Mingsheng Shang, Qianqian Ji, Xiaoyu Shi, 2019, 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).

A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices

MengChu Zhou, Shuai Li, Yunni Xia, 2016, IEEE Access.

TIME-SHARING OR PROPORTIONAL-SHARING: WHICH IS BETTER FOR MINIMUM MAKESPAN?

Jianping Li, Mingsheng Shang, Yan Fu, 2006 .

DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction

Mingsheng Shang, Xiaoyu Shi, Qingxian Wang, 2019, IEEE Access.

OPTIMAL SEQUENCES FOR SCHEDULING DIVISIBLE LOAD ON HETEROGENEOUS SYSTEM IN NONBLOCKING MODE OF COMMUNICATION

Mingsheng Shang, Qingxian Wang, 2005 .

A Clustering-Based Collaborative Filtering Recommendation Algorithm via Deep Learning User Side Information

Mingsheng Shang, Xiaoyu Shi, Chonghao Zhao, 2020, WISE.

Effects of the bipartite structure of a network on performance of recommenders

Mingsheng Shang, Xin Luo, Jian Li, 2018 .

Recommendation in evolving online networks

Mingsheng Shang, Xiao Hu, An Zeng, 2016 .

Recommendation algorithm based on item quality and user rating preferences

Mingsheng Shang, Shimin Cai, Yuan Guan, 2013, Frontiers of Computer Science.

Symmetric Non-negative Latent Factor Models for Undirected Large Networks

Mingsheng Shang, Xin Luo, Mingsheng Shang, 2017, IJCAI.

Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications

MengChu Zhou, Shuai Li, Mingsheng Shang, 2020, IEEE Transactions on Cybernetics.

Preference of online users and personalized recommendations

Mingsheng Shang, An Zeng, Yuan Guan, 2013 .

A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems

MengChu Zhou, Guoyin Wang, Mingsheng Shang, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Long-term performance of collaborative filtering based recommenders in temporally evolving systems

Liang Gu, Mingsheng Shang, Xin Luo, 2017, Neurocomputing.

Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms

Shuai Li, Long Jin, Mingsheng Shang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis

Mingsheng Shang, Xin Luo, Ye Yuan, 2020, ECAI.

An Efficient Algorithm for Overlapping Community Detection in Complex Networks

Duanbing Chen, Mingsheng Shang, Yan Fu, 2009, 2009 WRI Global Congress on Intelligent Systems.

Water eutrophication assessment based on rough set and multidimensional cloud model

Guoyin Wang, Di Wu, Mingsheng Shang, 2017 .

A hybrid cognitive assessment based on ontology knowledge map and skills

Mingsheng Shang, Huadong Xia, Hongguang Fu, 2015, Knowl. Based Syst..

An AP-Based Shilling Attack Detector for Collaborative Recommender Systems

Mingsheng Shang, Shimin Cai, Qing-Xian Wang, 2015 .

Self-training semi-supervised classification based on density peaks of data

Guoyin Wang, Di Wu, Mingsheng Shang, 2018, Neurocomputing.

A Compressed Sensing and Porous 9-7 Wavelet Transform-based Image Fusion Algorithm

Qing Li, Mingsheng Shang, Mingsheng Shang, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method

Shuai Li, Mingsheng Shang, Xin Luo, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Long-term effects of user preference-oriented recommendation method on the evolution of online system

Mingsheng Shang, Xin Luo, Xiaoyu Shi, 2017 .

Empirical comparison of local structural similarity indices for collaborative-filtering-based recommender systems

Linyuan Lü, Yong Chen, Mingsheng Shang, 2010 .

Coarse cluster enhancing collaborative recommendation for social network systems

Ming Tang, Mingsheng Shang, Shi-Min Cai, 2017 .

A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications

Di Wu, Mingsheng Shang, Xin Luo, 2018, IEEE Transactions on Industrial Informatics.

Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications

Shuai Li, Mingsheng Shang, Zidong Wang, 2017, IEEE Transactions on Industrial Informatics.

A Quasi-Human Heuristic Algorithm for the 2D Rectangular Strip Packing Problem

Duanbing Chen, Mingsheng Shang, Yan Fu, 2008, 2008 International Symposium on Information Science and Engineering.

A Hybrid Decision Approach to Detect Profile Injection Attacks in Collaborative Recommender Systems

Sheng Huang, Mingsheng Shang, Shimin Cai, 2012, ISMIS.

A Fast Autoencoder-based Recommender

Yunni Xia, Mingsheng Shang, Jiajia Jiang, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

An efficient heuristic algorithm for arbitrary shaped rectilinear block packing problem

Duanbing Chen, Mingsheng Shang, Yan Fu, 2010, Comput. Oper. Res..

Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method

Mingsheng Shang, Xiaoyu Shi, Yuanxin Lv, 2019, ICNC-FSKD.

Performance of latent factor models with extended linear biases

Jia Chen, Mingsheng Shang, Xin Luo, 2017, Knowl. Based Syst..

Uncovering the essential links in online commercial networks

Mingsheng Shang, Wei Zeng, Junming Shao, 2016, Scientific Reports.

On minimizing total energy consumption in the scheduling of virtual machine reservations

Rajkumar Buyya, Adel Nadjaran Toosi, Mingsheng Shang, 2018, J. Netw. Comput. Appl..

SLAs-Aware Online Task Scheduling Based on Deep Reinforcement Learning Method in Cloud Environment

Mingsheng Shang, Xiaoyu Shi, Longyu Ran, 2019, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

Incremental Slope-one recommenders

Liang Gu, Yan Li, Mingsheng Shang, 2018, Neurocomputing.

A dynamic neural controller for adaptive optimal control of permanent magnet DC motors

Shuai Li, Mingsheng Shang, Xin Luo, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction

Mingsheng Shang, Xin Luo, Qing-Xian Wang, 2019, Neurocomputing.

A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution

Guoyin Wang, Di Wu, Mingsheng Shang, 2018, 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC).

Water Quality Online Monitoring System Integration of Three Gorges Drawdown Areas

Mingsheng Shang, Guoying Wang, Ye Yuan, 2016 .

Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications

Shuai Li, Mingsheng Shang, Xin Luo, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Model and Algorithms for Scheduling Independent Tasks on Heterogeneous Systems

Jianping Li, Mingsheng Shang, Yan Fu, 2008 .

Identifying emerging influential Nodes in evolving networks: Exploiting strength of weak nodes pdf

Mingsheng Shang, Xiaoyu Shi, Shimin Cai, 2016, ArXiv.

Mingsheng Shang, Xin Luo, Jian Jun Xu, 2018, Scientific Reports.

User Heterogeneity and Individualized Recommender

Mingsheng Shang, Xiaoyu Shi, Qing-Xian Wang, 2017 .

Online Feature Selection with Capricious Streaming Features: A General Framework

Xindong Wu, Mingsheng Shang, Xin Luo, 2019, 2019 IEEE International Conference on Big Data (Big Data).

A Data-Aware Latent Factor Model for Web Service QoS Prediction

Guoyin Wang, Di Wu, Xindong Wu, 2019, PAKDD.

Coordinated Power and Performance-Efficient Virtual Machines Scheduling in the Cloud

Mingsheng Shang, Xiaoyu Shi, Xiaoqing Zhou, 2018, 2018 10th International Conference on Communications, Circuits and Systems (ICCCAS).

Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems

Mingsheng Shang, Xin Luo, Xin-Yi Cai, 2017, 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC).

Group-based ranking method for online rating systems with spamming attacks pdf

Mingsheng Shang, Tao Zhou, Jian Gao, 2015, ArXiv.

Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems

MengChu Zhou, Di Wu, Mingsheng Shang, 2019, IEEE Transactions on Big Data.

A Fast Recommendation Algorithm for Social Tagging Systems : A Delicious Case pdf

Ming Tang, Mingsheng Shang, Shimin Cai, 2015, ArXiv.

An Evaluation of Structure Based Similarity Indexes for Collaborative Filtering

Yong Chen, Mingsheng Shang, Mingsheng Shang, 2010, 2010 Third International Conference on Knowledge Discovery and Data Mining.

A fast and efficient heuristic algorithm for detecting community structures in complex networks

Duanbing Chen, Mingsheng Shang, Yan Fu, 2009 .

A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method

Mingsheng Shang, Xin Luo, Zhigang Liu, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and Segmentation

Lin Chen, Mingsheng Shang, Jianjun Xu, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Variability of contact process in complex networks

Ming Tang, Mingsheng Shang, Hui Yang, 2011, Chaos.

Randomized latent factor model for high-dimensional and sparse matrices from industrial applications

MengChu Zhou, Mingsheng Shang, Xin Luo, 2019, IEEE CAA J. Autom. Sinica.

Personal Recommendation Based on Weighted Bipartite Networks

Jie Liu, Duanbing Chen, Mingsheng Shang, 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration

Mingsheng Shang, Jiabao Zhong, Hezhe Qiao, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Heterogeneous-Aware Online Cloud Task Scheduler Based on Clustering and Deep Reinforcement Learning Ensemble

Mingsheng Shang, Longyu Ran, Jing Chen, 2020, Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery.

Lower limb movement intention recognition for rehabilitation robot aided with projected recurrent neural network

Mingsheng Shang, Mei Liu, Bo Peng, 2021, Complex & Intelligent Systems.

An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data

Mingsheng Shang, Xin Luo, Zidong Wang, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A Robust Classification Framework for Medical Patents Based on Deep Learning

Mingsheng Shang, Siyuan Wang, Xianbo He, 2020, Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery.

Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization

MengChu Zhou, Mingsheng Shang, Xin Luo, 2021, IEEE Transactions on Network Science and Engineering.

BALFA: A brain storm optimization-based adaptive latent factor analysis model

Mingsheng Shang, Qing Li, 2021, Inf. Sci..

Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification

Mingsheng Shang, Xiaoyu Shi, Lin Chen, 2021, Frontiers in Computational Neuroscience.

Multi-robot competitive tracking based on k-WTA neural network with one single neuron

Bo Peng, Mingsheng Shang, Long Jin, 2021, Neurocomputing.

Activated Gradients for Deep Neural Networks

Liangming Chen, Mingsheng Shang, Xiaohao Du, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Application of Bayesian network including Microcystis morphospecies for microcystin risk assessment in three cyanobacterial bloom-plagued lakes, China.

Mingsheng Shang, Botian Zhou, Lirong Song, 2019, Harmful algae.

Water eutrophication evaluation based on rough set and petri nets: A case study in Xiangxi-River, Three Gorges Reservoir

Guoyin Wang, Mingsheng Shang, Xuerui Zhang, 2016 .

Remote examination of the seasonal succession of phytoplankton assemblages from time-varying trends.

Mingsheng Shang, Xiangnan Liu, Botian Zhou, 2019, Journal of environmental management.

Water eutrophication evaluation based on semi-supervised classification: A case study in Three Gorges Reservoir

Guoyin Wang, Di Wu, Mingsheng Shang, 2017 .

Distinguishing two phenotypes of blooms using the normalised difference peak-valley index (NDPI) and Cyano-Chlorophyta index (CCI).

Mingsheng Shang, Xiangnan Liu, Ling Wu, 2018, The Science of the total environment.