中国科学院重庆绿色智能技术研究院机构知识库

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	Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application 期刊论文 NEUROCOMPUTING, 2024, 卷号: 567, 页码: 9 作者:  Ma, Dexiu;  Liu, Mei;  Shang, Mingsheng 收藏  |  浏览/下载：9/0  |  提交时间：2024/02/23 Neural dynamics (ND)  ACP framework  Time-dependent infinity-norm optimization (TDINO)  Activation functions
	Metaheuristic-Based RNN for Manipulability Optimization of Redundant Manipulators 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 10 作者:  Tan, Jiawang;  Shang, Mingsheng;  Jin, Long 收藏  |  浏览/下载：159/0  |  提交时间：2024/05/06 Manipulators  Optimization  Collision avoidance  Jacobian matrices  Kinematics  Task analysis  Linear programming  Manipulability optimization  metaheuristic optimization  nonconvex  obstacle avoidance  recurrent neural network
	Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 9, 页码: 5936-5948 作者:  Liu, Mei;  Zhang, Xiaoyan;  Shang, Mingsheng 收藏  |  浏览/下载：68/0  |  提交时间：2022/08/22 Optimization  Mathematical models  Computational modeling  Neural networks  Numerical models  Informatics  Vehicle dynamics  Equality and inequality constraints  noise-suppressing discrete-time neural dynamics (NSDTND) model  time-variant nonlinear optimization
	Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431 作者:  Shi, Xiaoyu;  He, Qiang;  Luo, Xin;  Bai, Yanan;  Shang, Mingsheng 收藏  |  浏览/下载：72/0  |  提交时间：2022/08/22 Recommender systems  Training  Optimization  Big Data  Cloud computing  Computational modeling  Sparse matrices  Recommender system  latent factor analysis  high-dimensional and sparse matrices  alternative stochastic gradient descent  distributed computing
	Adjusted stochastic gradient descent for latent factor analysis 期刊论文 INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 196-213 作者:  Li, Qing;  Xiong, Diwen;  Shang, Mingsheng 收藏  |  浏览/下载：49/0  |  提交时间：2022/08/22 Big data analysis  High-dimensional and incomplete matrix  Stochastic gradient descent  Latent factor analysis  Gradient adjustment  Adaptive model  Particle swarm optimization  Local optima
	Dynamic Neural Network for Bicriteria Weighted Control of Robot Manipulators 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14 作者:  Liu, Mei;  He, Li;  Shang, Mingsheng 收藏  |  浏览/下载：55/0  |  提交时间：2022/08/22 Manipulators  Robots  Indexes  Mathematical models  Manipulator dynamics  Optimization  Kinematics  Bicriteria weighted (BCW) scheme  dynamic neural network (DNN)  quadratic programming (QP) problem  robustness
	Activated Gradients for Deep Neural Networks 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者:  Liu, Mei;  Chen, Liangming;  Du, Xiaohao;  Jin, Long;  Shang, Mingsheng 收藏  |  浏览/下载：50/0  |  提交时间：2022/08/22 Training  Deep learning  Neural networks  Optimization  Visualization  Newton method  Eigenvalues and eigenfunctions  Exploding gradient problems  gradient activation function (GAF)  ill-conditioned problems  saddle point problems  vanishing gradient problems
	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
	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 收藏  |  浏览/下载：508/0  |  提交时间：2018/07/02 Big data  high-dimensional and sparse matrix  learning algorithms  missing-data estimation  nonnegative latent factor analysis  optimization methods recommender system
	A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 3, 页码: 909-920 作者:  Wu, Di;  Luo, Xin;  Wang, Guoyin;  Shang, Mingsheng;  Yuan, Ye;  Yan, Huyong 收藏  |  浏览/下载：213/0  |  提交时间：2018/06/04 Differential evolution (DE)  general framework  industrial application  positioning optimization  self-labeled  semi-supervised classification (SSC)