Shifei Ding

发表

An optimized classification algorithm by BP neural network based on PLS and HCA

Dean Zhao, Weikuan Jia, Tian Shen, 2014, Applied Intelligence.

Image segmentation algorithm based on superpixel clustering

Lijuan Wang, Weikuan Jia, Lin Cong, 2018, IET Image Process..

A multiway p-spectral clustering algorithm

Zhongzhi Shi, Hongjie Jia, Lin Cong, 2019, Knowl. Based Syst..

A semi-supervised approximate spectral clustering algorithm based on HMRF model

Shifei Ding, Hongjie Jia, Mingjing Du, 2018, Inf. Sci..

Reduced-reference image quality assessment through SIFT intensity ratio

Wei Chen, Shifei Ding, Tongfeng Sun, 2014, Int. J. Mach. Learn. Cybern..

Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors

Xiao Xu, Yu Xue, Shifei Ding, 2018, Soft Comput..

Research on using genetic algorithms to optimize Elman neural networks

Weikuan Jia, Shifei Ding, Yanan Zhang, 2012, Neural Computing and Applications.

A survey on feature extraction for pattern recognition

Hong Zhu, Weikuan Jia, Shifei Ding, 2011, Artificial Intelligence Review.

A fast fuzzy support vector machine based on information granulation

Shifei Ding, Youzhen Han, Junzhao Yu, 2012, Neural Computing and Applications.

A wavelet extreme learning machine

Jian Zhang, Shifei Ding, Yanan Zhang, 2015, Neural Computing and Applications.

A Nyström spectral clustering algorithm based on probability incremental sampling

Hongjie Jia, Shifei Ding, Mingjing Du, 2017, Soft Comput..

A Novel Locally Multiple Kernel k-means Based on Similarity

Xiao Xu, Shifei Ding, Mingjing Du, 2016, Intelligent Information Processing.

BEMD image fusion based on PCNN and compressed sensing

Yu Xue, Shifei Ding, Xingyu Zhao, 2018, Soft Comput..

Research and Comparison of Granularity Cluster Analysis Methods

Shifei Ding, Chang Tong, 2011 .

Supervised Feature Extraction Algorithm Based on Continuous Divergence Criterion

Zhongzhi Shi, Shifei Ding, Fengxiang Jin, 2006, ICIC.

Collaborative filtering model for enhancing fingerprint image

Weikuan Jia, Shifei Ding, Weixin Bian, 2018, IET Image Process..

Boltzmann Machine and its Applications in Image Recognition

Nan Zhang, Shifei Ding, Jian Zhang, 2016, Intelligent Information Processing.

A comparative study of neural-network feature weighting

Wei Chen, Shifei Ding, Tongfeng Sun, 2019, Artificial Intelligence Review.

Single image super-resolution using a polymorphic parallel CNN

Weikuan Jia, Shifei Ding, Kai Zeng, 2018, Applied Intelligence.

Approximate normalized cuts without Eigen-decomposition

Yu Xue, Hongjie Jia, Shifei Ding, 2016, Inf. Sci..

Incremental Learning Algorithm for Support Vector Data Description

Shifei Ding, Xiaopeng Hua, Shifei Ding, 2011, J. Softw..

Novel Image Recognition Based on Subspace and SIFT

Shifei Ding, Tongfeng Sun, Zihui Ren, 2013, J. Softw..

Region-based semi-supervised clustering image segmentation

Shifei Ding, Tongfeng Sun, Zihui Ren, 2011, 2011 Seventh International Conference on Natural Computation.

Research of multi-sided multi-granular neural network ensemble optimization method

Hui Li, Xuesong Wang, Shifei Ding, 2016, Neurocomputing.

Fingerprint image super resolution using sparse representation with ridge pattern prior by classification coupled dictionaries

Yu Xue, Shifei Ding, Weixin Bian, 2017, IET Biom..

Pulse-coupled neural networks and parameter optimization methods

Guanying Wang, Xuesong Wang, Yuhu Cheng, 2017, Neural Computing and Applications.

Using Genetic Algorithms to Optimize Artificial Neural Networks

Hong Zhu, Li Xu, Shifei Ding, 2010, J. Convergence Inf. Technol..

Research and Development of Granularity Clustering

Hong Zhu, Li Xu, Liwen Zhang, 2011 .

An adaptive extreme learning machine algorithm and its application on face recognition

Jian Ni, Shifei Ding, Tongfeng Sun, 2015, Int. J. Comput. Sci. Math..

Multi-view Restricted Boltzmann Machines with Posterior Consistency

Jian Zhang, Nan Zhang, Shifei Ding, 2018, Intelligent Information Processing.

An overview on nonparallel hyperplane support vector machine algorithms

Shifei Ding, Xiaopeng Hua, Junzhao Yu, 2013, Neural Computing and Applications.

Mixed and Continuous Strategy Monitor-Forward Game Based Selective Forwarding Solution in WSN

Shifei Ding, Hongmei Liao, Hongmei Liao, 2015, Int. J. Distributed Sens. Networks.

Applications of asynchronous deep reinforcement learning based on dynamic updating weights

Weikuan Jia, Shifei Ding, Xingyu Zhao, 2018, Applied Intelligence.

A Supervised PLS Information Recognition Algorithm

Shifei Ding, Fengxiang Jin, 2008, ICIC.

No-reference image quality assessment based on gradient histogram response

Shifei Ding, Tongfeng Sun, Xinzheng Xu, 2016, Comput. Electr. Eng..

SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network

Shifei Ding, Tongfeng Sun, Chenglong Zhang, 2021, Neurocomputing.

Ensemble Adaptation Networks with low-cost unsupervised hyper-parameter search

Weikuan Jia, Haotian Zhang, Shifei Ding, 2019, Pattern Analysis and Applications.

DPCG: an efficient density peaks clustering algorithm based on grid

Xiao Xu, Yu Xue, Shifei Ding, 2018, Int. J. Mach. Learn. Cybern..

Divergence-Based Supervised Information Feature Compression Algorithm

Zhongzhi Shi, Shifei Ding, 2006, ISNN.

Twin Support Vector Machines Based on Particle Swarm Optimization

Han Zhao, Shifei Ding, Huajuan Huang, 2013, J. Comput..

Supervised Information Feature Compression Algorithm Based on Divergence Criterion

Zhongzhi Shi, Shifei Ding, Shixiong Xia, 2007, ICIC.

The multi-tag semantic correlation used for micro-blog user interest modeling

Weikuan Jia, Yanru Wang, Shifei Ding, 2019, Eng. Appl. Artif. Intell..

Research on a principal components decision algorithm based on information entropy

Shifei Ding, Xin Wang, Qing He, 2009, J. Inf. Sci..

Weighted least squares projection twin support vector machines with local information

Shifei Ding, Xiaopeng Hua, Shifei Ding, 2015, Neurocomputing.

An improved fingerprint orientation field extraction method based on quality grading scheme

Yu Xue, Shifei Ding, Weixin Bian, 2018, Int. J. Mach. Learn. Cybern..

A Novel Fuzzy Likelihood Measure Algorithm

Shifei Ding, Fengxiang Jin, Fengxiang Jin, 2008, 2008 International Conference on Computer Science and Software Engineering.

Unsupervised extreme learning machine with representational features

Zhongzhi Shi, Nan Zhang, Shifei Ding, 2015, International Journal of Machine Learning and Cybernetics.

Multi-view RBM with posterior consistency and domain adaptation

Lijuan Wang, Shifei Ding, Nan Zhang, 2020, Inf. Sci..

Guest Editorial

Zhengtao Yu, Shifei Ding, 2012, J. Comput..

Research of granular support vector machine

Shifei Ding, Bingjuan Qi, 2011, Artificial Intelligence Review.

Polynomial Smooth Twin Support Vector Machines Based on Invasive Weed Optimization Algorithm

Shifei Ding, Huajuan Huang, Fulin Wu, 2014, J. Comput..

A Review on Feature Binding Theory and Its Functions Observed in Perceptual Process

Yu Xue, Shifei Ding, Lingheng Meng, 2017, Cognitive Computation.

Attribute Granulation Based on Attribute Discernibility and AP Algorithm

Han Zhao, Hong Zhu, Shifei Ding, 2013, J. Softw..

Fingerprint enhancement rooted in the spectra diffusion by the aid of the 2D adaptive Chebyshev band-pass filter with orientation-selective

Yu Xue, Shifei Ding, Tongfeng Sun, 2017, Inf. Sci..

Research on parameters optimisation of SVM based on swarm intelligence

Shifei Ding, Huajuan Huang, Shifei Ding, 2014 .

An image response framework for no-reference image quality assessment

Shifei Ding, Tongfeng Sun, Xinzheng Xu, 2017, Comput. Electr. Eng..

Evolutionary artificial neural networks: a review

Hui Li, Shifei Ding, Chunyang Su, 2011, Artificial Intelligence Review.

A Novel Extreme Learning Machine Based on Hybrid Kernel Function

Shifei Ding, Yanan Zhang, Lina Bao, 2013, J. Comput..

Agent Grid Collaborative Schema Based on Policy

Zhongzhi Shi, Shifei Ding, Shixiong Xia, 2007, ICIC.

Wavelet twin support vector machines based on glowworm swarm optimization

Yu Xue, Shifei Ding, Fulin Wu, 2017, Neurocomputing.

Energy-based structural least squares MBSVM for classification

Weikuan Jia, Shifei Ding, Zichen Zhang, 2019, Applied Intelligence.

NSCT-PCNN image fusion based on image gradient motivation

Yu Xue, Hui Xu, Shifei Ding, 2018, IET Comput. Vis..

Rank-Adaptive Non-Negative Matrix Factorization

Shifei Ding, Tianming Liang, Xinzheng Xu, 2018, Cognitive Computation.

Hierarchical Policy for Agent Grid Collaboration

Zhongzhi Shi, Shifei Ding, Maoguang Wang, 2007, Sixth International Conference on Grid and Cooperative Computing (GCC 2007).

Twin Support Vector Machines Based on Quantum Particle Swarm Optimization

Shifei Ding, Huajuan Huang, Fulin Wu, 2013, J. Softw..

A Rough RBF Neural Networks Optimized by the Genetic Algorithm

Gang Ma, Shifei Ding, Xinzheng Xu, 2011 .

Twin support vector machines based on fruit fly optimization algorithm

Shifei Ding, Junzhao Yu, Xiekai Zhang, 2016, Int. J. Mach. Learn. Cybern..

An improved multiple birth support vector machine for pattern classification

Shifei Ding, Yu Xue, Xiekai Zhang, 2017, Neurocomputing.

Incremental extreme learning machine based on deep feature embedded

Zhongzhi Shi, Nan Zhang, Shifei Ding, 2016, Int. J. Mach. Learn. Cybern..

Research and development of neural network ensembles: a survey

Hui Li, Xuesong Wang, Shifei Ding, 2018, Artificial Intelligence Review.

A Supervised Feature Extraction Algorithm for Multi-class

Xiaofeng Lei, Zhongzhi Shi, Shifei Ding, 2008, FAW.

Supervised feature extraction algorithm based on improved polynomial entropy

Zhongzhi Shi, Shifei Ding, Zhongzhi Shi, 2006, J. Inf. Sci..

Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines

Hong Zhu, Shifei Ding, Huajuan Huang, 2013, J. Comput..

Combining Gabor filtering and classification dictionaries learning for fingerprint enhancement

Yu Xue, Shifei Ding, Tongfeng Sun, 2017, IET Biom..

Research on the hybrid models of granular computing and support vector machine

Han Zhao, Shifei Ding, Huajuan Huang, 2013, Artificial Intelligence Review.

A K-AP Clustering Algorithm Based on Manifold Similarity Measure

Qirong Mao, Hongjie Jia, Heping Song, 2018, Intelligent Information Processing.

Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA)

Jian Wang, Hong Zhu, Shifei Ding, 2011, J. Comput..

A Fuzzy Kernel Clustering Algorithm based on Improved Rough Set Attribute Reduction

Li Xu, Hong Zhu, Shifei Ding, 2011 .

An overview on twin support vector machines

Shifei Ding, Huajuan Huang, Junzhao Yu, 2012, Artificial Intelligence Review.

Guest Editorial

Shifei Ding, 2012, J. Comput..

Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy

Hongjie Jia, Shifei Ding, Heng Ma, 2014, J. Comput..

Diversity Analysis of Information Pattern and Information Clustering Algorithm

Zhongzhi Shi, Shifei Ding, Wei Ning, 2007, ISICA.

Medical image registration based on self-adapting pulse-coupled neural networks and mutual information

Guanying Wang, Shifei Ding, Xiangying Jiang, 2015, Neural Computing and Applications.

Extreme learning machine: algorithm, theory and applications

Han Zhao, Shifei Ding, Yanan Zhang, 2013, Artificial Intelligence Review.

Twin support vector machine: theory, algorithm and applications

Nan Zhang, Shifei Ding, Fulin Wu, 2017, Neural Computing and Applications.

Research and Application Analysis of Feature Binding Mechanism

Shifei Ding, Youzhen Han, 2014, Intelligent Information Processing.

An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood

Xiao Xu, Yu Xue, Shifei Ding, 2017, Knowl. Based Syst..

p-Spectral Clustering Based on Neighborhood Attribute Granulation

Hongjie Jia, Shifei Ding, Qiankun Hu, 2016, Intelligent Information Processing.

Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm

Shifei Ding, Tongfeng Sun, Xiekai Zhang, 2016, Int. J. Mach. Learn. Cybern..

A Rough RBF Neural Network Based on Weighted Regularized Extreme Learning Machine

Gang Ma, Zhongzhi Shi, Shifei Ding, 2013, Neural Processing Letters.

An improved PCA algorithm based on WIF

Shifei Ding, Fengxiang Jin, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm

Shifei Ding, Huajuan Huang, Fulin Wu, 2014, J. Comput..

Extreme learning machine and its applications

Shifei Ding, Xinzheng Xu, Ru Nie, 2013, Neural Computing and Applications.

A New Asynchronous Architecture for Tabular Reinforcement Learning Algorithms

Shifei Ding, Xingyu Zhao, Yuexuan An, 2017 .

Neural Network Research Progress and Applications in Forecast

Zhongzhi Shi, Weikuan Jia, Shifei Ding, 2008, ISNN.

Robust spike-and-slab deep Boltzmann machines for face denoising

Jian Zhang, Nan Zhang, Shifei Ding, 2018, Neural Computing and Applications.

A parallel attribute reduction algorithm based on Affinity Propagation clustering

Hong Zhu, Li Xu, Shifei Ding, 2013, J. Comput..

Recursive least squares projection twin support vector machines for nonlinear classification

Shifei Ding, Xiaopeng Hua, Shifei Ding, 2014, Neurocomputing.

An overview on rough neural networks

Gang Ma, Miaomiao Wang, Shifei Ding, 2015, Neural Computing and Applications.

Extreme learning machine with kernel model based on deep learning

Lili Guo, Shifei Ding, Yanlu Hou, 2017, Neural Computing and Applications.

Studies on Fuzzy Information Measures

Zhongzhi Shi, Shifei Ding, Shixiong Xia, 2007, FSKD.

Downloaded from

Zhongzhi Shi, Shifei Ding, 1997 .

Some Progress of Supervised Learning

Xin Wang, Weikuan Jia, Shifei Ding, 2008, ICIC.

Multi layer ELM-RBF for multi-label learning

Shifei Ding, Nan Zhang, Jian Zhang, 2016, Appl. Soft Comput..

A feasible density peaks clustering algorithm with a merging strategy

Xiao Xu, Yu Xue, Shifei Ding, 2019, Soft Comput..

深度学习研究进展 (Research Progress on Deep Learning)

Shifei Ding, Lili Guo, 2015, 计算机科学.

Asynchronous reinforcement learning algorithms for solving discrete space path planning problems

Weikuan Jia, Shifei Ding, Xingyu Zhao, 2018, Applied Intelligence.

An Adaptive Density Data Stream Clustering Algorithm

Hongjie Jia, Jun Qian, Shifei Ding, 2015, Cognitive Computation.

Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network

Hong Zhu, Zhongzhi Shi, Shifei Ding, 2011, J. Comput..

Multimodal correlation deep belief networks for multi-view classification

Nan Zhang, Weikuan Jia, Shifei Ding, 2018, Applied Intelligence.

Guest Editorial

Bin Wang, Deyun Yang, Shifei Ding, 2010, J. Softw..

Guest Editorial

Tokuro Matsuo, Shifei Ding, Feng Gao, 2011, J. Softw..

Guest Editorial

Feng Gao, Bin Wang, Deyun Yang, 2010, J. Networks.

L-DP: A Hybrid Density Peaks Clustering Method

Shifei Ding, Mingjing Du, Shifei Ding, 2017, DMBD.

An optimizing method of RBF neural network based on genetic algorithm

Li Xu, Shifei Ding, Chunyang Su, 2011, Neural Computing and Applications.

Track on Intelligent Computing and Applications: Selected papers from the 2012 International Workshop on Information, Intelligence and Computing (IWIIC 2012)

Zhongzhi Shi, Shifei Ding, 2014, Neurocomputing.

A robust density peaks clustering algorithm using fuzzy neighborhood

Yu Xue, Shifei Ding, Mingjing Du, 2017, International Journal of Machine Learning and Cybernetics.

An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets

Han Zhao, Shifei Ding, Yanan Zhang, 2013, J. Comput..

A novel density peaks clustering with sensitivity of local density and density-adaptive metric

Yu Xue, Zhongzhi Shi, Shifei Ding, 2018, Knowledge and Information Systems.

Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors

Hongjie Jia, Shifei Ding, Mingjing Du, 2015, Cognitive Computation.

A Survey on Statistical Pattern Feature Extraction

Zhongzhi Shi, Weikuan Jia, Shifei Ding, 2008, ICIC.

Combining weighted linear project analysis with orientation diffusion for fingerprint orientation field reconstruction

Yu Xue, Shifei Ding, Weixin Bian, 2017, Inf. Sci..

A hybrid deep learning CNN-ELM model and its application in handwritten numeral recognition

Shifei Ding, Lili Guo, 2015 .

Rough Neural Networks: A Review

Jianying Li, Shifei Ding, Jinrong Chen, 2011 .

Research of stacked denoising sparse autoencoder

Nan Zhang, Shifei Ding, Lingheng Meng, 2016, Neural Computing and Applications.

Denoising Laplacian multi-layer extreme learning machine

Zhongzhi Shi, Nan Zhang, Shifei Ding, 2016, Neurocomputing.

Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm

Hong Zhu, Zhongzhi Shi, Shifei Ding, 2012, Journal of Zhejiang University SCIENCE C.

Study on density peaks clustering based on k-nearest neighbors and principal component analysis

Hongjie Jia, Shifei Ding, Mingjing Du, 2016, Knowl. Based Syst..

A Feature Selection Algorithm Based on Tolerant Granule

Li Xu, Yu Zhang, Jun Qian, 2011 .

Research on data stream clustering algorithms

Hongjie Jia, Jun Qian, Shifei Ding, 2013, Artificial Intelligence Review.

An adversarial non-volume preserving flow model with Boltzmann priors

Weikuan Jia, Shifei Ding, Jian Zhang, 2020, Int. J. Mach. Learn. Cybern..

Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification

Yu Xue, Shifei Ding, Yuexuan An, 2017, Pattern Recognit..

Wavelet twin support vector machine

Zhongzhi Shi, Shifei Ding, Fulin Wu, 2014, Neural Computing and Applications.

Neural Networks Algorithm Based on Factor Analysis

Hong Zhu, Weikuan Jia, Shifei Ding, 2010, ISNN.

An Improved BP Neural Network Algorithm Based on Factor Analysis

Weikuan Jia, Shifei Ding, Xiaoliang Liu, 2010, J. Convergence Inf. Technol..

An optimizing BP neural network algorithm based on genetic algorithm

Shifei Ding, Chunyang Su, Junzhao Yu, 2011, Artificial Intelligence Review.

Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering

Li Xu, Nan Zhang, Shifei Ding, 2016, Cognitive Computation.

An improved density peaks clustering algorithm with fast finding cluster centers

Xiao Xu, Zhongzhi Shi, Shifei Ding, 2018, Knowl. Based Syst..

A resolution method for linguistic truth-valued intuitionistic fuzzy first-order logic

Lin Xiao, Shifei Ding, Jia Meng, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Medical images segmentation based on improved three-dimensional pulse coupled neural network

Guanying Wang, Shifei Ding, Tongfeng Sun, 2017, Int. J. Wirel. Mob. Comput..

A review on multi-class TWSVM

Yu Xue, Shifei Ding, Xingyu Zhao, 2017, Artificial Intelligence Review.

A Novel Supervised Information Feature Compression Algorithm

Zhongzhi Shi, Shifei Ding, 2006, International Conference on Computational Science.

Research of semi-supervised spectral clustering based on constraints expansion

Hong Zhu, Hongjie Jia, Shifei Ding, 2012, Neural Computing and Applications.

Research of semi-supervised spectral clustering algorithm based on pairwise constraints

Hongjie Jia, Shifei Ding, Liwen Zhang, 2012, Neural Computing and Applications.

Guest Editorial

Shifei Ding, 2012, J. Networks.

A Feature Weighted Spectral Clustering Algorithm Based on Knowledge Entropy

Hong Zhu, Hongjie Jia, Shifei Ding, 2013, J. Softw..

An overview on semi-supervised support vector machine

Shifei Ding, Zhibin Zhu, Xiekai Zhang, 2017, Neural Computing and Applications.

Recent advances in Support Vector Machines

Bo An, Dacheng Tao, Zhongzhi Shi, 2016, Neurocomputing.

Research Progress on Semi-Supervised Clustering

Yanru Wang, Lijuan Wang, Shifei Ding, 2019, Cognitive Computation.

Studies on Fuzzy Information Measures

Zhongzhi Shi, Shifei Ding, Fengxiang Jin, 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

PCA-Based Elman Neural Network Algorithm

Weikuan Jia, Shifei Ding, Liwen Zhang, 2008, ISICA.

Twin Support Vector Machines Based on the Mixed Kernel function

Shifei Ding, Fulin Wu, Shifei Ding, 2014, J. Comput..

A novel density peaks clustering algorithm for mixed data

Yu Xue, Shifei Ding, Mingjing Du, 2017, Pattern Recognit. Lett..

Research of neural network algorithm based on factor analysis and cluster analysis

Lili Liu, Weikuan Jia, Shifei Ding, 2011, Neural Computing and Applications.

A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction

Hongjie Jia, Shifei Ding, Shuyan Fan, 2014, Neural Computing and Applications.

The latest research progress on spectral clustering

Hongjie Jia, Shifei Ding, Xinzheng Xu, 2013, Neural Computing and Applications.

Granular multiple birth support vector machine based on weighted linear loss

Shifei Ding, Xiekai Zhang, Shifei Ding, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A robust density peaks clustering algorithm with density-sensitive similarity

Lijuan Wang, Yanru Wang, Shifei Ding, 2020, Knowl. Based Syst..

A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network

Gang Ma, Zhongzhi Shi, Shifei Ding, 2013, Neural Computing and Applications.

Research and Progress of Cluster Algorithms based on Granular Computing

Hong Zhu, Li Xu, Shifei Ding, 2010, J. Digit. Content Technol. its Appl..

Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS)

Gang Ma, Weikuan Jia, Shifei Ding, 2011, Neural Computing and Applications.

Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm

Yu Xue, Shifei Ding, Shuyan Fan, 2018, Soft Comput..

Research on Point-wise Gated Deep Networks

Shifei Ding, Yu Xue, Nan Zhang, 2017, Appl. Soft Comput..

An overview on Restricted Boltzmann Machines

Shifei Ding, Yu Xue, Nan Zhang, 2018, Neurocomputing.

An overview on probability undirected graphs and their applications in image processing

Jian Zhang, Nan Zhang, Shifei Ding, 2018, Neurocomputing.

Granular neural networks

Hongjie Jia, Shifei Ding, Jinrong Chen, 2014, Artificial Intelligence Review.

Novel fuzzy information proximity measures

Zhongzhi Shi, Shifei Ding, Shixiong Xia, 2007, J. Inf. Sci..

A Fast Density Peaks Clustering Algorithm Based on Pre-Screening

Xiao Xu, Shifei Ding, Tongfeng Sun, 2018, 2018 IEEE International Conference on Big Data and Smart Computing (BigComp).

Weight Uncertainty in Boltzmann Machine

Yu Xue, Jian Zhang, Nan Zhang, 2016, Cognitive Computation.

Discrete space reinforcement learning algorithm based on support vector machine classification

Shifei Ding, Yuexuan An, Songhui Shi, 2018, Pattern Recognit. Lett..

Link-Based Cluster Ensemble Method for Improved Meta-clustering Algorithm

Shifei Ding, Changlong Shao, 2020, Intelligent Information Processing.

Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data

Nan Zhang, Shifei Ding, Nan Zhang, 2016, Memetic Computing.

Research on denoising sparse autoencoder

Yu Xue, Shifei Ding, Lingheng Meng, 2016, International Journal of Machine Learning and Cybernetics.

Survey on granularity clustering

Hong Zhu, Shifei Ding, Mingjing Du, 2015, Cognitive Neurodynamics.

Deep Extreme Learning Machine and Its Application in EEG Classification

Jian Zhang, Nan Zhang, Shifei Ding, 2015 .

Primal least squares twin support vector regression

Zhongzhi Shi, Shifei Ding, Huajuan Huang, 2013, Journal of Zhejiang University SCIENCE C.

A new method for constructing granular neural networks based on rule extraction and extreme learning machine

Guanying Wang, Shifei Ding, Xiangying Jiang, 2015, Pattern Recognit. Lett..

Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression

Shifei Ding, Huajuan Huang, Ru Nie, 2013, ICIC.

A novel clustering ensemble model based on granular computing

Shifei Ding, Li Xu, Shifei Ding, 2021, Applied Intelligence.

An improved grid search algorithm to optimize SVR for prediction

Weikuan Jia, Shifei Ding, Zichen Zhang, 2021, Soft Computing.

MBSVR: Multiple birth support vector regression

Shifei Ding, Zichen Zhang, Yuting Sun, 2021, Inf. Sci..

A community detection algorithm based on Quasi-Laplacian centrality peaks clustering

Xiao Xu, Shifei Ding, Tianhao Shi, 2021, Applied Intelligence.

Parallel stochastic configuration networks for large-scale data regression

Weikuan Jia, Shifei Ding, Jian Zhang, 2021, Appl. Soft Comput..

Chameleon algorithm based on improved natural neighbor graph generating sub-clusters

Shifei Ding, Yuru Zhang, Yanru Wang, 2021, Applied Intelligence.

An improved density-based adaptive p-spectral clustering algorithm

Shifei Ding, Ling Ding, Yanru Wang, 2021, Int. J. Mach. Learn. Cybern..

An iterative stacked weighted auto-encoder

Shifei Ding, Tongfeng Sun, Xinzheng Xu, 2021, Soft Computing.

Density peaks clustering using geodesic distances

Xiao Xu, Yu Xue, Shifei Ding, 2017, International Journal of Machine Learning and Cybernetics.

Domain Knowledge Blended Affinity Propagation

Wei Chen, Shifei Ding, Xinzheng Xu, 2013 .

Polynomial Smooth Twin Support Vector Machines

Jian Wang, Shifei Ding, Huajuan Huang, 2014 .