Shifei Ding

According to our database, Shifei Ding authored at least 259 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder.

Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu

ACM Trans. Knowl. Discov. Data, September, 2024

Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems.

Lili Guo, Jianglan Zhu, Chenglong Zhang, Shifei Ding

IEEE Trans. Fuzzy Syst., August, 2024

Separate Channel Estimation and Data Detection for Semi-Passive RIS-Empowered Massive MIMO.

Youzhi Xiong, Shifei Ding, Sanshan Sun, Li Liu, Zhongpei Zhang, Songjie Yang, Ning Wei

IEEE Commun. Lett., August, 2024

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization.

Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.

Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding

Soft Comput., March, 2024

Fuzzy Twin Support Vector Machines With Distribution Inputs.

Zhizheng Liang, Shifei Ding

IEEE Trans. Fuzzy Syst., January, 2024

A novel image denoising algorithm combining attention mechanism and residual UNet network.

Shifei Ding, Qidong Wang, Lili Guo, Jian Zhang, Ling Ding

Knowl. Inf. Syst., January, 2024

Non-iterative border-peeling clustering algorithm based on swap strategy.

Hui Tu, Shifei Ding, Xiao Xu, Haiwei Hou, Chao Li, Ling Ding

Inf. Sci., January, 2024

Survey of spectral clustering based on graph theory.

Ling Ding, Chao Li, Di Jin, Shifei Ding

Pattern Recognit., 2024

Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features.

Tongfeng Sun, Xiurui Wang, Zhongnian Li, Shifei Ding

Neural Networks, 2024

Speaker-aware cognitive network with cross-modal attention for multimodal emotion recognition in conversation.

Lili Guo, Yikang Song, Shifei Ding

Knowl. Based Syst., 2024

Synergistic Deep Graph Clustering Network.

Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

CoRR, 2024

Deep Friendly Embedding Space for Clustering.

Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo

Proceedings of the Intelligent Information Processing XII, 2024

Expressive Multi-Agent Communication via Identity-Aware Learning.

Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck.

Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph clustering network with structure embedding enhanced.

Shifei Ding, Benyu Wu, Xiao Xu, Lili Guo, Ling Ding

Pattern Recognit., December, 2023

Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging.

Chao Li, Shifei Ding, Xiao Xu, Haiwei Hou, Ling Ding

Inf. Sci., November, 2023

Semi-supervised deep density clustering.

Xiao Xu, Haiwei Hou, Shifei Ding

Appl. Soft Comput., November, 2023

FEMRNet: Feature-enhanced multi-scale residual network for image denoising.

Xiao Xu, Qidong Wang, Lili Guo, Jian Zhang, Shifei Ding

Appl. Intell., November, 2023

Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network.

Wei Du, Shifei Ding, Chenglong Zhang, Zhongzhi Shi

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding.

Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding

Big Data Res., August, 2023

Multi-agent dueling Q-learning with mean field and value decomposition.

Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An

Pattern Recognit., July, 2023

A novel capsule network based on deep routing and residual learning.

Jian Zhang, Qinghai Xu, Lili Guo, Ling Ding, Shifei Ding

Soft Comput., June, 2023

A novel clustering algorithm based on multi-layer features and graph attention networks.

Haiwei Hou, Shifei Ding, Xiao Xu, Ling Ding

Soft Comput., May, 2023

Maximum density minimum redundancy based hypergraph regularized support vector regression.

Shifei Ding, Yuting Sun, Jian Zhang, Lili Guo, Xiao Xu, Zichen Zhang

Int. J. Mach. Learn. Cybern., May, 2023

An improved density peaks clustering algorithm based on natural neighbor with a merging strategy.

Shifei Ding, Wei Du, Xiao Xu, Tianhao Shi, Yanru Wang, Chao Li

Inf. Sci., May, 2023

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data.

Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi

Pattern Recognit., April, 2023

Density peaks clustering algorithm based on improved similarity and allocation strategy.

Shifei Ding, Wei Du, Chao Li, Xiao Xu, Lijuan Wang, Ling Ding

Int. J. Mach. Learn. Cybern., April, 2023

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression.

Shifei Ding, Chenglong Zhang, Jian Zhang, Lili Guo, Ling Ding

IEEE Trans. Cogn. Dev. Syst., 2023

Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution.

Lili Guo, Yanru Wang, Fanchao Wang, Ling Ding, Shifei Ding

Int. J. Mach. Learn. Cybern., 2023

Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering.

Xiangnan Liu, Shifei Ding, Xiao Xu, Lijuan Wang

Appl. Soft Comput., 2023

Heterogeneous Multi-Agent Communication Learning via Graph Information Maximization.

Wei Du, Shifei Ding

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU.

Qidong Wang, Lili Guo, Shifei Ding, Jian Zhang, Xiao Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Broad learning system based ensemble deep model.

Chenglong Zhang, Shifei Ding, Lili Guo, Jian Zhang

Soft Comput., 2022

A manifold p-spectral clustering with sparrow search algorithm.

Yanru Wang, Shifei Ding, Lijuan Wang, Shuying Du

Soft Comput., 2022

Low-degree term first in ResNet, its variants and the whole neural network family.

Tongfeng Sun, Shifei Ding, Lili Guo

Neural Networks, 2022

A Gaussian RBM with binary auxiliary units.

Jian Zhang, Shifei Ding, Tongfeng Sun, Lili Guo

Int. J. Mach. Learn. Cybern., 2022

Hypergraph based semi-supervised support vector machine for binary and multi-category classifications.

Yuting Sun, Shifei Ding, Zichen Zhang, Chenglong Zhang

Int. J. Mach. Learn. Cybern., 2022

A deep clustering by multi-level feature fusion.

Haiwei Hou, Shifei Ding, Xiao Xu

Int. J. Mach. Learn. Cybern., 2022

Broad stochastic configuration network for regression.

Chenglong Zhang, Shifei Ding, Wei Du

Knowl. Based Syst., 2022

Hypergraph regularized semi-supervised support vector machine.

Yuting Sun, Shifei Ding, Lili Guo, Zichen Zhang

Inf. Sci., 2022

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning.

Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Chenglong Zhang, Ling Ding

Inf. Sci., 2022

An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit.

Shifei Ding, Zichen Zhang, Lili Guo, Yuting Sun

Inf. Sci., 2022

Image Style Transfering Based on StarGAN and Class Encoder.

Xinzheng Xu, Jianying Chang, Shifei Ding

Int. J. Softw. Informatics, 2022

Multiple birth support vector machine based on dynamic quantum particle swarm optimization algorithm.

Shifei Ding, Zichen Zhang, Yuting Sun, Songhui Shi

Neurocomputing, 2022

Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information.

Lili Guo, Longbiao Wang, Jianwu Dang, Yahui Fu, Jiaxing Liu, Shifei Ding

IEEE Multim., 2022

A novel dense capsule network based on dense capsule layers.

Guangcong Sun, Shifei Ding, Tongfeng Sun, Chenglong Zhang, Wei Du

Appl. Intell., 2022

Fast density peaks clustering algorithm in polar coordinate system.

Chao Li, Shifei Ding, Xiao Xu, Shuying Du, Tianhao Shi

Appl. Intell., 2022

An AdaBoost Based - Deep Stochastic Configuration Network.

Chenglong Zhang, Shifei Ding, Ling Ding

Proceedings of the Intelligent Information Processing XI, 2022

2021

Blind video quality assessment based on multilevel video perception.

Tongfeng Sun, Shifei Ding, Wei Chen

Signal Process. Image Commun., 2021

An improved grid search algorithm to optimize SVR for prediction.

Yuting Sun, Shifei Ding, Zichen Zhang, Weikuan Jia

Soft Comput., 2021

An iterative stacked weighted auto-encoder.

Tongfeng Sun, Shifei Ding, Xinzheng Xu

Soft Comput., 2021

An improved density-based adaptive p-spectral clustering algorithm.

Yanru Wang, Shifei Ding, Lijuan Wang, Ling Ding

Int. J. Mach. Learn. Cybern., 2021

A robust spectral clustering algorithm based on grid-partition and decision-graph.

Lijuan Wang, Shifei Ding, Yanru Wang, Ling Ding

Int. J. Mach. Learn. Cybern., 2021

Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning.

Wei Du, Shifei Ding, Chenglong Zhang, Shuying Du

Int. J. Mach. Learn. Cybern., 2021

M-pSC: a manifold p-spectral clustering algorithm.

Ling Ding, Shifei Ding, Yanru Wang, Lijuan Wang, Hongjie Jia

Int. J. Mach. Learn. Cybern., 2021

A novel self-attention deep subspace clustering.

Zhengfan Chen, Shifei Ding, Haiwei Hou

Int. J. Mach. Learn. Cybern., 2021

A stochastic configuration network based on chaotic sparrow search algorithm.

Chenglong Zhang, Shifei Ding

Knowl. Based Syst., 2021

Dual-granularity weighted ensemble clustering.

Li Xu, Shifei Ding

Knowl. Based Syst., 2021

MBSVR: Multiple birth support vector regression.

Zichen Zhang, Shifei Ding, Yuting Sun

Inf. Sci., 2021

A fast density peaks clustering algorithm with sparse search.

Xiao Xu, Shifei Ding, Yanru Wang, Lijuan Wang, Weikuan Jia

Inf. Sci., 2021

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

Guangcong Sun, Shifei Ding, Tongfeng Sun, Chenglong Zhang

Neurocomputing, 2021

An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition.

Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding

Expert Syst. Appl., 2021

Parallel stochastic configuration networks for large-scale data regression.

Chenglong Zhang, Shifei Ding, Jian (Andrew) Zhang, Weikuan Jia

Appl. Soft Comput., 2021

An optimized support vector regression for prediction of bearing degradation.

Chenglong Zhang, Shifei Ding, Yuting Sun, Zichen Zhang

Appl. Soft Comput., 2021

Chameleon algorithm based on mutual k-nearest neighbors.

Yuru Zhang, Shifei Ding, Lijuan Wang, Yanru Wang, Ling Ding

Appl. Intell., 2021

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

Yuru Zhang, Shifei Ding, Yanru Wang, Haiwei Hou

Appl. Intell., 2021

A novel clustering ensemble model based on granular computing.

Li Xu, Shifei Ding

Appl. Intell., 2021

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

Tianhao Shi, Shifei Ding, Xiao Xu, Ling Ding

Appl. Intell., 2021

A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications.

Wei Du, Shifei Ding

Artif. Intell. Rev., 2021

2020

Active constraint spectral clustering based on Hessian matrix.

Xiaoyu Wang, Shifei Ding, Weikuan Jia

Soft Comput., 2020

A novel prediction method of complex univariate time series based on k-means clustering.

Yunxin Liu, Shifei Ding, Weikuan Jia

Soft Comput., 2020

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

Haotian Zhang, Shifei Ding, Weikuan Jia

Pattern Anal. Appl., 2020

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

Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao

Neural Comput. Appl., 2020

An adversarial non-volume preserving flow model with Boltzmann priors.

Jian Zhang, Shifei Ding, Weikuan Jia

Int. J. Mach. Learn. Cybern., 2020

A robust density peaks clustering algorithm with density-sensitive similarity.

Xiao Xu, Shifei Ding, Lijuan Wang, Yanru Wang

Knowl. Based Syst., 2020

Multi-view RBM with posterior consistency and domain adaptation.

Nan Zhang, Shifei Ding, Tongfeng Sun, Hongmei Liao, Lijuan Wang, Zhongzhi Shi

Inf. Sci., 2020

A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task.

Zichen Zhang, Shifei Ding, Yuting Sun

Neurocomputing, 2020

Research on adaptive local feature enhancement in convolutional neural networks.

Tongfeng Sun, Changlong Shao, Hongmei Liao, Shifei Ding, Xinzheng Xu

IET Image Process., 2020

Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters.

Shifei Ding, Lijuan Wang, Lin Cong

IET Image Process., 2020

Research on fingerprint classification based on twin support vector machine.

Shifei Ding, Songhui Shi, Weikuan Jia

IET Image Process., 2020

Energy-based structural least squares MBSVM for classification.

Songhui Shi, Shifei Ding, Zichen Zhang, Weikuan Jia

Appl. Intell., 2020

Multiple birth support vector machine based on recurrent neural networks.

Shifei Ding, Yuting Sun, Yuexuan An, Weikuan Jia

Appl. Intell., 2020

Adversarial Training Methods for Boltzmann Machines.

Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia

IEEE Access, 2020

Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning.

Lijuan Wang, Shifei Ding

IEEE Access, 2020

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

Changlong Shao, Shifei Ding

Proceedings of the Intelligent Information Processing X, 2020

2019

A feasible density peaks clustering algorithm with a merging strategy.

Xiao Xu, Shifei Ding, Hui Xu, Hongmei Liao, Yu Xue

Soft Comput., 2019

L1-norm loss-based projection twin support vector machine for binary classification.

Xiaopeng Hua, Sen Xu, Jun Gao, Shifei Ding

Soft Comput., 2019

BEMD image fusion based on PCNN and compressed sensing.

Shifei Ding, Peng Du, Xingyu Zhao, Qiangbo Zhu, Yu Xue

Soft Comput., 2019

A multiway <i>p</i>-spectral clustering algorithm.

Shifei Ding, Lin Cong, Qiankun Hu, Hongjie Jia, Zhongzhi Shi

Knowl. Based Syst., 2019

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

Mingjing Du, Shifei Ding, Yu Xue, Zhongzhi Shi

Knowl. Inf. Syst., 2019

半监督聚类综述 (Survey of Semi-supervised Clustering).

Yue Qin, Shifei Ding

计算机科学, 2019

多智能体强化学习综述 (Overview on Multi-agent Reinforcement Learning).

Wei Du, Shifei Ding

计算机科学, 2019

Multiple Birth Support Vector Machine with Triplet Loss Function.

Shi-Fei Ding, Yuexuan An

J. Inf. Sci. Eng., 2019

A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems.

Zichen Zhang, Shifei Ding, Weikuan Jia

Eng. Appl. Artif. Intell., 2019

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

Yanru Wang, Shifei Ding, Xiao Xu, Weikuan Jia

Eng. Appl. Artif. Intell., 2019

Research Progress on Semi-Supervised Clustering.

Yue Qin, Shifei Ding, Lijuan Wang, Yanru Wang

Cogn. Comput., 2019

Applications of asynchronous deep reinforcement learning based on dynamic updating weights.

Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia

Appl. Intell., 2019

Multimodal correlation deep belief networks for multi-view classification.

Nan Zhang, Shifei Ding, Hongmei Liao, Weikuan Jia

Appl. Intell., 2019

Single image super-resolution using a polymorphic parallel CNN.

Kai Zeng, Shifei Ding, Weikuan Jia

Appl. Intell., 2019

An effective asynchronous framework for small scale reinforcement learning problems.

Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia

Appl. Intell., 2019

A new asynchronous reinforcement learning algorithm based on improved parallel PSO.

Shifei Ding, Wei Du, Xingyu Zhao, Lijuan Wang, Weikuan Jia

Appl. Intell., 2019

A comparative study of neural-network feature weighting.

Tongfeng Sun, Shifei Ding, Pin Li, Wei Chen

Artif. Intell. Rev., 2019

A review on multi-class TWSVM.

Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue

Artif. Intell. Rev., 2019

An Improvement of Spectral Clustering via Message Passing and Density Sensitive Similarity.

Lijuan Wang, Shifei Ding, Hongjie Jia

IEEE Access, 2019

2018

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

Shuyan Fan, Shifei Ding, Yu Xue

Soft Comput., 2018

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

Shifei Ding, Xiao Xu, Shuyan Fan, Yu Xue

Soft Comput., 2018

Discrete space reinforcement learning algorithm based on support vector machine classification.

Yuexuan An, Shifei Ding, Songhui Shi, Jingcan Li

Pattern Recognit. Lett., 2018

Research of stacked denoising sparse autoencoder.

Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang

Neural Comput. Appl., 2018

DPCG: an efficient density peaks clustering algorithm based on grid.

Xiao Xu, Shifei Ding, Mingjing Du, Yu Xue

Int. J. Mach. Learn. Cybern., 2018

Density peaks clustering using geodesic distances.

Mingjing Du, Shifei Ding, Xiao Xu, Yu Xue

Int. J. Mach. Learn. Cybern., 2018

A robust density peaks clustering algorithm using fuzzy neighborhood.

Mingjing Du, Shifei Ding, Yu Xue

Int. J. Mach. Learn. Cybern., 2018

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

Weixin Bian, Shifei Ding, Yu Xue

Int. J. Mach. Learn. Cybern., 2018

An improved density peaks clustering algorithm with fast finding cluster centers.

Xiao Xu, Shifei Ding, Zhongzhi Shi

Knowl. Based Syst., 2018

深度强化学习研究综述 (Research on Deep Reinforcement Learning).

Xingyu Zhao, Shifei Ding

计算机科学, 2018

孪生支持向量机综述 (Twin Support Vector Machine: A Review).

Yuexuan An, Shifei Ding, Jipu Hu

计算机科学, 2018

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

Shifei Ding, Hongjie Jia, Mingjing Du, Yu Xue

Inf. Sci., 2018

An overview on Restricted Boltzmann Machines.

Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue

Neurocomputing, 2018

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

Jian Zhang, Shifei Ding, Nan Zhang

Neurocomputing, 2018

Image segmentation algorithm based on superpixel clustering.

Lin Cong, Shifei Ding, Lijuan Wang, Aijuan Zhang, Weikuan Jia

IET Image Process., 2018

Collaborative filtering model for enhancing fingerprint image.

Weixin Bian, Shifei Ding, Weikuan Jia

IET Image Process., 2018

NSCT-PCNN image fusion based on image gradient motivation.

Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue

IET Comput. Vis., 2018

Rank-Adaptive Non-Negative Matrix Factorization.

Dong Shan, Xinzheng Xu, Tianming Liang, Shifei Ding

Cogn. Comput., 2018

An image response framework for no-reference image quality assessment.

Tongfeng Sun, Shifei Ding, Xinzheng Xu

Comput. Electr. Eng., 2018

Asynchronous reinforcement learning algorithms for solving discrete space path planning problems.

Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia

Appl. Intell., 2018

Research and development of neural network ensembles: a survey.

Hui Li, Xuesong Wang, Shifei Ding

Artif. Intell. Rev., 2018

A K-AP Clustering Algorithm Based on Manifold Similarity Measure.

Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding

Proceedings of the Intelligent Information Processing IX, 2018

Multi-view Restricted Boltzmann Machines with Posterior Consistency.

Shifei Ding, Nan Zhang, Jian Zhang

Proceedings of the Intelligent Information Processing IX, 2018

A Fast Density Peaks Clustering Algorithm Based on Pre-Screening.

Xiao Xu, Shifei Ding, Tongfeng Sun

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

A Nyström spectral clustering algorithm based on probability incremental sampling.

Hongjie Jia, Shifei Ding, Mingjing Du

Soft Comput., 2017

A novel density peaks clustering algorithm for mixed data.

Mingjing Du, Shifei Ding, Yu Xue

Pattern Recognit. Lett., 2017

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

Shifei Ding, Xiekai Zhang, Yuexuan An, Yu Xue

Pattern Recognit., 2017

Pulse-coupled neural networks and parameter optimization methods.

Xinzheng Xu, Guanying Wang, Shifei Ding, Yuhu Cheng, Xuesong Wang

Neural Comput. Appl., 2017

Twin support vector machine: theory, algorithm and applications.

Shifei Ding, Nan Zhang, Xiekai Zhang, Fulin Wu

Neural Comput. Appl., 2017

An overview on semi-supervised support vector machine.

Shifei Ding, Zhibin Zhu, Xiekai Zhang

Neural Comput. Appl., 2017

Extreme learning machine with kernel model based on deep learning.

Shifei Ding, Lili Guo, Yanlu Hou

Neural Comput. Appl., 2017

Research on denoising sparse autoencoder.

Lingheng Meng, Shifei Ding, Yu Xue

Int. J. Mach. Learn. Cybern., 2017

Unsupervised extreme learning machine with representational features.

Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi

Int. J. Mach. Learn. Cybern., 2017

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

Nan Zhang, Shifei Ding

Memetic Comput., 2017

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

Shifei Ding, Mingjing Du, Tongfeng Sun, Xiao Xu, Yu Xue

Knowl. Based Syst., 2017

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

Shifei Ding, Weixin Bian, Tongfeng Sun, Yu Xue

Inf. Sci., 2017

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

Weixin Bian, Shifei Ding, Yu Xue

Inf. Sci., 2017

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

Maxin Wang, Xinzheng Xu, Guanying Wang, Shifei Ding, Tongfeng Sun

Int. J. Wirel. Mob. Comput., 2017

An improved multiple birth support vector machine for pattern classification.

Xiekai Zhang, Shifei Ding, Yu Xue

Neurocomputing, 2017

Wavelet twin support vector machines based on glowworm swarm optimization.

Shifei Ding, Yuexuan An, Xiekai Zhang, Fulin Wu, Yu Xue

Neurocomputing, 2017

Combining Gabor filtering and classification dictionaries learning for fingerprint enhancement.

Shifei Ding, Weixin Bian, Hongmei Liao, Tongfeng Sun, Yu Xue

IET Biom., 2017

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

Weixin Bian, Shifei Ding, Yu Xue

IET Biom., 2017

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

Shifei Ding, Lingheng Meng, Youzhen Han, Yu Xue

Cogn. Comput., 2017

Research on Point-wise Gated Deep Networks.

Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue

Appl. Soft Comput., 2017

L-DP: A Hybrid Density Peaks Clustering Method.

Mingjing Du, Shifei Ding

Proceedings of the Data Mining and Big Data - Second International Conference, 2017

2016

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

Guanying Wang, Xinzheng Xu, Xiangying Jiang, Shifei Ding

Neural Comput. Appl., 2016

An overview on rough neural networks.

Hongmei Liao, Shifei Ding, Miaomiao Wang, Gang Ma

Neural Comput. Appl., 2016

A wavelet extreme learning machine.

Shifei Ding, Jian Zhang, Xinzheng Xu, Yanan Zhang

Neural Comput. Appl., 2016

Incremental extreme learning machine based on deep feature embedded.

Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi

Int. J. Mach. Learn. Cybern., 2016

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

Xiekai Zhang, Shifei Ding, Tongfeng Sun

Int. J. Mach. Learn. Cybern., 2016

Twin support vector machines based on fruit fly optimization algorithm.

Shifei Ding, Xiekai Zhang, Junzhao Yu

Int. J. Mach. Learn. Cybern., 2016

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

Mingjing Du, Shifei Ding, Hongjie Jia

Knowl. Based Syst., 2016

基于属性区分能力和AP聚类的属性粒化方法 (Attribute Granulation Based on Attribute Discernibility and AP Clustering).

Hong Zhu, Shifei Ding

计算机科学, 2016

基于马氏距离的孪生多分类支持向量机 (Mahalanobis Distance-based Twin Multi-class Classification Support Vector Machine).

Xiekai Zhang, Shifei Ding

计算机科学, 2016

Approximate normalized cuts without Eigen-decomposition.

Hongjie Jia, Shifei Ding, Mingjing Du, Yu Xue

Inf. Sci., 2016

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

Hui Li, Xuesong Wang, Shifei Ding

Neurocomputing, 2016

Recent advances in Support Vector Machines.

Shifei Ding, Zhongzhi Shi, Dacheng Tao, Bo An

Neurocomputing, 2016

Denoising Laplacian multi-layer extreme learning machine.

Nan Zhang, Shifei Ding, Zhongzhi Shi

Neurocomputing, 2016

Weight Uncertainty in Boltzmann Machine.

Jian Zhang, Shifei Ding, Nan Zhang, Yu Xue

Cogn. Comput., 2016

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

Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang

Cogn. Comput., 2016

An Adaptive Density Data Stream Clustering Algorithm.

Shifei Ding, Jian Zhang, Hongjie Jia, Jun Qian

Cogn. Comput., 2016

No-reference image quality assessment based on gradient histogram response.

Tongfeng Sun, Shifei Ding, Wei Chen, Xinzheng Xu

Comput. Electr. Eng., 2016

Multi layer ELM-RBF for multi-label learning.

Nan Zhang, Shifei Ding, Jian Zhang

Appl. Soft Comput., 2016

Granular multiple birth support vector machine based on weighted linear loss.

Shifei Ding, Xiekai Zhang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Novel Locally Multiple Kernel k-means Based on Similarity.

Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu

Proceedings of the Intelligent Information Processing VIII, 2016

Boltzmann Machine and its Applications in Image Recognition.

Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou

Proceedings of the Intelligent Information Processing VIII, 2016

p-Spectral Clustering Based on Neighborhood Attribute Granulation.

Shifei Ding, Hongjie Jia, Mingjing Du, Qiankun Hu

Proceedings of the Intelligent Information Processing VIII, 2016

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

Lin Xiao, Jia Meng, Shifei Ding, Li Zou

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

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

Xinzheng Xu, Guanying Wang, Shifei Ding, Xiangying Jiang, Zuopeng Zhao

Pattern Recognit. Lett., 2015

基于AP二次聚类的神经网络集成算法研究 (AP Twice Clustering Based Neural Network Ensemble Algorithm).

Hui Li, Shifei Ding

计算机科学, 2015

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

Lili Guo, Shifei Ding

计算机科学, 2015

Weighted least squares projection twin support vector machines with local information.

Xiaopeng Hua, Shifei Ding

Neurocomputing, 2015

Twice clustering based individual neural network generation method.

Shifei Ding, Hui Li

Neurocomputing, 2015

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

Hongmei Liao, Shifei Ding

Int. J. Distributed Sens. Networks, 2015

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

Jian Ni, Xinzheng Xu, Shifei Ding, Tongfeng Sun

Int. J. Comput. Sci. Math., 2015

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

Hongjie Jia, Shifei Ding, Mingjing Du

Cogn. Comput., 2015

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

Weikuan Jia, Dean Zhao, Tian Shen, Shifei Ding, Yuyan Zhao, Chanli Hu

Appl. Intell., 2015

Extreme learning machine: algorithm, theory and applications.

Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie

Artif. Intell. Rev., 2015

Research on data stream clustering algorithms.

Shifei Ding, Fulin Wu, Jun Qian, Hongjie Jia, Fengxiang Jin

Artif. Intell. Rev., 2015

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

Shifei Ding, Huajuan Huang, Junzhao Yu, Han Zhao

Artif. Intell. Rev., 2015

2014

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

Shifei Ding, Gang Ma, Zhongzhi Shi

Neural Process. Lett., 2014

The latest research progress on spectral clustering.

Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie

Neural Comput. Appl., 2014

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

Hongjie Jia, Shifei Ding, Lingheng Meng, Shuyan Fan

Neural Comput. Appl., 2014

Extreme learning machine and its applications.

Shifei Ding, Xinzheng Xu, Ru Nie

Neural Comput. Appl., 2014

Wavelet twin support vector machine.

Shifei Ding, Fulin Wu, Zhongzhi Shi

Neural Comput. Appl., 2014

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

Shifei Ding, Gang Ma, Zhongzhi Shi

Neural Comput. Appl., 2014

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

Shifei Ding, Hongjie Jia, Liwen Zhang, Fengxiang Jin

Neural Comput. Appl., 2014

An overview on nonparallel hyperplane support vector machine algorithms.

Shifei Ding, Xiaopeng Hua, Junzhao Yu

Neural Comput. Appl., 2014

Reduced-reference image quality assessment through SIFT intensity ratio.

Tongfeng Sun, Shifei Ding, Wei Chen

Int. J. Mach. Learn. Cybern., 2014

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

Fulin Wu, Shifei Ding, Huajuan Huang, Zhibin Zhu

J. Comput., 2014

Twin Support Vector Machines Based on the Mixed Kernel function.

Fulin Wu, Shifei Ding

J. Comput., 2014

Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy.

Hongjie Jia, Shifei Ding, Heng Ma, Wanqiu Xing

J. Comput., 2014

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

Shifei Ding, Huajuan Huang, Junzhao Yu, Fulin Wu

J. Comput., 2014

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

Shifei Ding, Zhongzhi Shi

Neurocomputing, 2014

Recursive least squares projection twin support vector machines for nonlinear classification.

Shifei Ding, Xiaopeng Hua

Neurocomputing, 2014

An overview on twin support vector machines.

Shifei Ding, Junzhao Yu, Bingjuan Qi, Huajuan Huang

Artif. Intell. Rev., 2014

Granular neural networks.

Shifei Ding, Hongjie Jia, Jinrong Chen, Fengxiang Jin

Artif. Intell. Rev., 2014

Research and Application Analysis of Feature Binding Mechanism.

Youzhen Han, Shifei Ding

Proceedings of the Intelligent Information Processing VII, 2014

2013

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

Xinzheng Xu, Shifei Ding, Weikuan Jia, Gang Ma, Fengxiang Jin

Neural Comput. Appl., 2013

Research on using genetic algorithms to optimize Elman neural networks.

Shifei Ding, Yanan Zhang, Jinrong Chen, Weikuan Jia

Neural Comput. Appl., 2013

Research of semi-supervised spectral clustering based on constraints expansion.

Shifei Ding, Bingjuan Qi, Hongjie Jia, Hong Zhu, Liwen Zhang

Neural Comput. Appl., 2013

A fast fuzzy support vector machine based on information granulation.

Shifei Ding, Youzhen Han, Junzhao Yu, Yaxiang Gu

Neural Comput. Appl., 2013

Primal least squares twin support vector regression.

Huajuan Huang, Shi-Fei Ding, Zhong-Zhi Shi

J. Zhejiang Univ. Sci. C, 2013

Attribute Granulation Based on Attribute Discernibility and AP Algorithm.

Hong Zhu, Shifei Ding, Han Zhao, Lina Bao

J. Softw., 2013

Novel Image Recognition Based on Subspace and SIFT.

Tongfeng Sun, Shifei Ding, Zihui Ren

J. Softw., 2013

A Feature Weighted Spectral Clustering Algorithm Based on Knowledge Entropy.

Hongjie Jia, Shifei Ding, Hong Zhu, Fulin Wu, Lina Bao

J. Softw., 2013

Twin Support Vector Machines Based on Quantum Particle Swarm Optimization.

Shifei Ding, Fulin Wu, Ru Nie, Junzhao Yu, Huajuan Huang

J. Softw., 2013

A parallel attribute reduction algorithm based on Affinity Propagation clustering.

Hong Zhu, Shifei Ding, Xinzheng Xu, Li Xu

J. Comput., 2013

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

Yanan Zhang, Shifei Ding, Xinzheng Xu, Han Zhao, Wanqiu Xing

J. Comput., 2013

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

Huajuan Huang, Shifei Ding, Hong Zhu, Xinzheng Xu

J. Comput., 2013

A Novel Extreme Learning Machine Based on Hybrid Kernel Function.

Shifei Ding, Yanan Zhang, Xinzheng Xu, Lina Bao

J. Comput., 2013

Twin Support Vector Machines Based on Particle Swarm Optimization.

Shifei Ding, Junzhao Yu, Huajuan Huang, Han Zhao

J. Comput., 2013

Evolutionary artificial neural networks: a review.

Shifei Ding, Hui Li, Chunyang Su, Junzhao Yu, Fengxiang Jin

Artif. Intell. Rev., 2013

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

Shifei Ding, Huajuan Huang, Ru Nie

Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

2012

An optimizing method of RBF neural network based on genetic algorithm.

Shifei Ding, Li Xu, Chunyang Su, Fengxiang Jin

Neural Comput. Appl., 2012

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

Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu

J. Zhejiang Univ. Sci. C, 2012

Guest Editorial.

Shifei Ding, Zhengtao Yu

J. Comput., 2012

Guest Editorial.

Shifei Ding

J. Comput., 2012

A survey on feature extraction for pattern recognition.

Shifei Ding, Hong Zhu, Weikuan Jia, Chunyang Su

Artif. Intell. Rev., 2012

Research of granular support vector machine.

Shifei Ding, Bingjuan Qi

Artif. Intell. Rev., 2012

2011

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

Shifei Ding, Weikuan Jia, Chunyang Su, Liwen Zhang, Lili Liu

Neural Comput. Appl., 2011

Incremental Learning Algorithm for Support Vector Data Description.

Xiaopeng Hua, Shifei Ding

J. Softw., 2011

Guest Editorial.

Feng Gao, Tokuro Matsuo, Junhu Zhang, Shifei Ding

J. Softw., 2011

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

Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao

J. Comput., 2011

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

Shifei Ding, Xinzheng Xu, Hong Zhu, Jian Wang, Fengxiang Jin

J. Comput., 2011

An optimizing BP neural network algorithm based on genetic algorithm.

Shifei Ding, Chunyang Su, Junzhao Yu

Artif. Intell. Rev., 2011

Region-based semi-supervised clustering image segmentation.

Tongfeng Sun, Zihui Ren, Shifei Ding

Proceedings of the Seventh International Conference on Natural Computation, 2011

2010

Guest Editorial.

Feng Gao, Bin Wang, Deyun Yang, Junhu Zhang, Shifei Ding

J. Softw., 2010

Research and Progress of Cluster Algorithms based on Granular Computing.

Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang

J. Digit. Content Technol. its Appl., 2010

Using Genetic Algorithms to Optimize Artificial Neural Networks.

Shifei Ding, Li Xu, Chunyang Su, Hong Zhu

J. Convergence Inf. Technol., 2010

An Improved BP Neural Network Algorithm Based on Factor Analysis.

Shifei Ding, Weikuan Jia, Chunyang Su, Xiaoliang Liu, Jinrong Chen

J. Convergence Inf. Technol., 2010

Neural Networks Algorithm Based on Factor Analysis.

Shifei Ding, Weikuan Jia, Xinzheng Xu, Hong Zhu

Proceedings of the Advances in Neural Networks, 2010

2009

Research on a principal components decision algorithm based on information entropy.

Shifei Ding, Yongping Zhang, Xiaofeng Lei, Xinzheng Xu, Xin Wang, Li Wang, Qing He

J. Inf. Sci., 2009

2008

User Knowledge Requirement Model and its Hybrid Evolution Algorithm.

Lei Zhang, Shixiong Xia, Shifei Ding, Yong Zhou, Qiulin Ding

Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008

Neural Network Research Progress and Applications in Forecast.

Shifei Ding, Weikuan Jia, Chunyang Su, Liwen Zhang, Zhongzhi Shi

Proceedings of the Advances in Neural Networks, 2008

PCA-Based Elman Neural Network Algorithm.

Shifei Ding, Weikuan Jia, Chunyang Su, Xinzheng Xu, Liwen Zhang

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

An improved PCA algorithm based on WIF.

Fengxiang Jin, Shifei Ding

Proceedings of the International Joint Conference on Neural Networks, 2008

Some Progress of Supervised Learning.

Chunyang Su, Shifei Ding, Weikuan Jia, Xin Wang, Xinzheng Xu

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A Supervised PLS Information Recognition Algorithm.

Fengxiang Jin, Shifei Ding

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

A Survey on Statistical Pattern Feature Extraction.

Shifei Ding, Weikuan Jia, Chunyang Su, Fengxiang Jin, Zhongzhi Shi

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A Supervised Feature Extraction Algorithm for Multi-class.

Shifei Ding, Fengxiang Jin, Xiaofeng Lei, Zhongzhi Shi

Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008

A Novel Fuzzy Likelihood Measure Algorithm.

Shifei Ding, Fengxiang Jin

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007

Novel fuzzy information proximity measures.

Shi-Fei Ding, Shixiong Xia, Fengxiang Jin, Zhong-Zhi Shi

J. Inf. Sci., 2007

Diversity Analysis of Information Pattern and Information Clustering Algorithm.

Shifei Ding, Wei Ning, Zhongzhi Shi

Proceedings of the Advances in Computation and Intelligence, 2007

Agent Grid Collaborative Schema Based on Policy.

Maoguang Wang, Zhongzhi Shi, Shixiong Xia, Shifei Ding

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Supervised Information Feature Compression Algorithm Based on Divergence Criterion.

Shifei Ding, Wei Ning, Fengxiang Jin, Shixiong Xia, Zhongzhi Shi

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Hierarchical Policy for Agent Grid Collaboration.

Maoguang Wang, Zhongzhi Shi, Shifei Ding

Proceedings of the Grid and Cooperative Computing, 2007

Studies on Fuzzy Information Measures.

Shifei Ding, Zhongzhi Shi, Shixiong Xia, Fengxiang Jin

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

Supervised feature extraction algorithm based on improved polynomial entropy.

Shifei Ding, Zhongzhi Shi

J. Inf. Sci., 2006

Divergence-Based Supervised Information Feature Compression Algorithm.

Shi-Fei Ding, Zhong-Zhi Shi

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Supervised Feature Extraction Algorithm Based on Continuous Divergence Criterion.

Shifei Ding, Zhongzhi Shi, Fengxiang Jin

Proceedings of the Computational Intelligence, 2006

A Novel Supervised Information Feature Compression Algorithm.

Shi-Fei Ding, Zhong-Zhi Shi

Proceedings of the Computational Science, 2006

Studies on Fuzzy Information Measures.

Shifei Ding, Zhongzhi Shi, Fengxiang Jin

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005

Studies on incidence pattern recognition based on information entropy.

Shi-Fei Ding, Zhong-Zhi Shi

J. Inf. Sci., 2005