Shifei Ding - RankMe

289 papers A* 9B 3C 1Misc 3Journal 245Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comprehensive survey of image clustering based on deep learning. Pattern Recognit. Haiwei Hou, Shifei Ding, Chuangui Cao, Xiao Xu, Lili Guo, Xuan Li
2026	A*	`conf`	Contextual Structure-Enhanced Selective Graph Convolutional Network. WWW Shifei Ding, Fangchen Li, Lili Guo, Jian Zhang
2026	J	`jnl`	DPC-DCD: A density peak clustering algorithm based on density conflict domains. Knowl. Based Syst. Hui Tu, Chao Li, Haiwei Hou, Shifei Ding
2026	J	`jnl`	EmoKEG: Knowledge-enhanced heterogeneous graph for emotion recognition in conversation. Pattern Recognit. Lili Guo, Yanan Cui, Yikang Song, Haiwei Hou, Shifei Ding
2026	J	`jnl`	Iterative update scheme for nonnegative and sparse linear autoencoders in recommendation. Inf. Process. Manag. Xuan Li, Shifei Ding
2026	J	`jnl`	Learning multi-agent communication via graph contrastive learning. Pattern Recognit. Wei Du, Zhengfan Chen, Shifei Ding, Chenglong Zhang, Wei Guo, Yuqing Sun, Guoxian Yu, Lizhen Cui
2026	A*	`conf`	Multi-view Hierarchical Graph Contrastive Learning based on Asynchronous Asymmetric Structure. WWW Chuangui Cao, Shifei Ding, Jian Zhang, Lili Guo, Xuan Li
2026	J	`jnl`	Semantic Image Clustering With Deep Learning. IEEE Trans. Cogn. Dev. Syst. Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2026	A*	`conf`	Structure-Semantic Synergized Deep Contrastive Graph Clustering. WWW Shifei Ding, Zhe Li, Xiao Xu, Chao Li
2025	A*	`conf`	A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning. IJCAI Chuangui Cao, Shifei Ding, Lili Guo
2025	J	`jnl`	A novel robust semi-supervised stochastic configuration network for regression tasks with noise. Inf. Sci. Shifei Ding, Zi Zhang, Li Xu, Chenglong Zhang, Lili Guo, Xuan Li
2025	J	`jnl`	APIN: Amplitude- and phase-aware interaction network for speech emotion recognition. Speech Commun. Lili Guo, Jie Li, Shifei Ding, Jianwu Dang
2025	—	`book`	Advanced Randomized Neural Networks for Pattern Analysis Chenglong Zhang, Shifei Ding, Yang Wang, David Zhang
2025	J	`jnl`	DSTCNet: Deep Spectro-Temporal-Channel Attention Network for Speech Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. Lili Guo, Shifei Ding, Longbiao Wang, Jianwu Dang
2025	J	`jnl`	Enhancing histopathological image classification through multi-view momentum encoding learning. Appl. Intell. Chuangui Cao, Shifei Ding, Lili Guo, Xiaohao Xie
2025	J	`jnl`	Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors. IEEE Trans. Knowl. Data Eng. Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2025	A*	`conf`	Global Information Compensation Network for Image Denoising. IJCAI Shifei Ding, Qidong Wang, Lili Guo
2025	J	`jnl`	Horizontal Federated Density Peaks Clustering. IEEE Trans. Neural Networks Learn. Syst. Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2025	A*	`conf`	Multi-Agent Communication with Information Preserving Graph Contrastive Learning. IJCAI Wei Du, Shifei Ding, Wei Guo, Yuqing Sun, Guoxian Yu, Lizhen Cui
2025	J	`jnl`	Multi-Agent policy gradients with dynamic weighted value decomposition. Pattern Recognit. Shifei Ding, Xiaomin Dong, Jian Zhang, Lili Guo, Wei Du, Chenglong Zhang
2025	J	`jnl`	Multi-channel set polynomial based label regularized graph neural networks against extreme data scarcity. Pattern Recognit. Jingxiao Zhang, Shifei Ding, Jian Zhang, Lili Guo, Ling Ding
2025	A*	`conf`	Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation. IJCAI Jie Li, Shifei Ding, Lili Guo, Xuan Li
2025	J	`jnl`	Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation. CoRR Jie Li, Shifei Ding, Lili Guo, Xuan Li
2025	J	`jnl`	Multiagent Reinforcement Learning With Graphical Mutual Information Maximization. IEEE Trans. Neural Networks Learn. Syst. Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An
2025	J	`jnl`	Parameter-Adaptive Border Peeling Clustering Algorithm. IEEE Trans. Knowl. Data Eng. Hui Tu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2025	J	`jnl`	Predicting microRNA-Disease Associations Through Multi-View Feature Fusion and Matrix Completion on Graph Convolutional Networks. IEEE Trans. Comput. Biol. Bioinform. Shifei Ding, Chuangui Cao, Fan Sun, Xuan Li, Xindong Wu
2025	J	`jnl`	Robust Decorrelated Stochastic Configuration Networks Ensemble via Weighted Negative Correlation Learning. IEEE Trans. Syst. Man Cybern. Syst. Chenglong Zhang, Chaoxun Guo, Xiaozhu Wang, Shifei Ding, Feng Wu, David Zhang
2025	J	`jnl`	Robust Density Peaks Clustering for Manifold Data With Multiple Peaks. IEEE Trans. Pattern Anal. Mach. Intell. Ling Ding, Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Xindong Wu
2025	J	`jnl`	Semi-supervised classification model with stochastic configuration networks. Knowl. Inf. Syst. Shifei Ding, Zi Zhang, Chenglong Zhang, Li Xu, Lili Guo, Xuan Li
2025	J	`jnl`	Triple-view graph clustering network based on high-confidence contrastive learning strategy. Knowl. Based Syst. Shifei Ding, Zhe Li, Xiao Xu, Lili Guo, Ling Ding
2025	J	`jnl`	Vertical Federated Density Peaks Clustering Under Nonlinear Mapping. IEEE Trans. Knowl. Data Eng. Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2024	J	`jnl`	A novel image denoising algorithm combining attention mechanism and residual UNet network. Knowl. Inf. Syst. Shifei Ding, Qidong Wang, Lili Guo, Jian Zhang, Ling Ding
2024	J	`jnl`	Better value estimation in Q-learning-based multi-agent reinforcement learning. Soft Comput. Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding
2024	—	`conf`	Deep Friendly Embedding Space for Clustering. IIP (1) Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo
2024	A*	`conf`	Expressive Multi-Agent Communication via Identity-Aware Learning. AAAI Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding
2024	J	`jnl`	Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features. Neural Networks Tongfeng Sun, Xiurui Wang, Zhongnian Li, Shifei Ding
2024	J	`jnl`	Fuzzy Twin Support Vector Machines With Distribution Inputs. IEEE Trans. Fuzzy Syst. Zhizheng Liang, Shifei Ding
2024	J	`jnl`	Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix. IEEE Trans. Neural Networks Learn. Syst. Shifei Ding, Haiwei Hou, Xiao Xu, Jian Zhang, Lili Guo, Ling Ding
2024	J	`jnl`	Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems. IEEE Trans. Fuzzy Syst. Lili Guo, Jianglan Zhu, Chenglong Zhang, Shifei Ding
2024	A*	`conf`	Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. AAAI Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang
2024	J	`jnl`	Non-iterative border-peeling clustering algorithm based on swap strategy. Inf. Sci. Hui Tu, Shifei Ding, Xiao Xu, Haiwei Hou, Chao Li, Ling Ding
2024	J	`jnl`	Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An
2024	J	`jnl`	Separate Channel Estimation and Data Detection for Semi-Passive RIS-Empowered Massive MIMO. IEEE Commun. Lett. Youzhi Xiong, Shifei Ding, Sanshan Sun, Li Liu, Zhongpei Zhang, Songjie Yang, Ning Wei
2024	J	`jnl`	Speaker-aware cognitive network with cross-modal attention for multimodal emotion recognition in conversation. Knowl. Based Syst. Lili Guo, Yikang Song, Shifei Ding
2024	J	`jnl`	Survey of spectral clustering based on graph theory. Pattern Recognit. Ling Ding, Chao Li, Di Jin, Shifei Ding
2024	J	`jnl`	Synergistic Deep Graph Clustering Network. CoRR Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2024	J	`jnl`	Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder. ACM Trans. Knowl. Discov. Data Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu
2024	J	`jnl`	Wavelet and Adaptive Coordinate Attention Guided Fine-Grained Residual Network for Image Denoising. IEEE Trans. Circuits Syst. Video Technol. Shifei Ding, Qidong Wang, Lili Guo, Xuan Li, Ling Ding, Xindong Wu
2023	J	`jnl`	A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data. Pattern Recognit. Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi
2023	J	`jnl`	A novel capsule network based on deep routing and residual learning. Soft Comput. Jian Zhang, Qinghai Xu, Lili Guo, Ling Ding, Shifei Ding
2023	J	`jnl`	A novel clustering algorithm based on multi-layer features and graph attention networks. Soft Comput. Haiwei Hou, Shifei Ding, Xiao Xu, Ling Ding
2023	J	`jnl`	An improved density peaks clustering algorithm based on natural neighbor with a merging strategy. Inf. Sci. Shifei Ding, Wei Du, Xiao Xu, Tianhao Shi, Yanru Wang, Chao Li
2023	J	`jnl`	Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding. Big Data Res. Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding
2023	J	`jnl`	Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering. Appl. Soft Comput. Xiangnan Liu, Shifei Ding, Xiao Xu, Lijuan Wang
2023	J	`jnl`	Density peaks clustering algorithm based on improved similarity and allocation strategy. Int. J. Mach. Learn. Cybern. Shifei Ding, Wei Du, Chao Li, Xiao Xu, Lijuan Wang, Ling Ding
2023	J	`jnl`	FEMRNet: Feature-enhanced multi-scale residual network for image denoising. Appl. Intell. Xiao Xu, Qidong Wang, Lili Guo, Jian Zhang, Shifei Ding
2023	J	`jnl`	Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging. Inf. Sci. Chao Li, Shifei Ding, Xiao Xu, Haiwei Hou, Ling Ding
2023	J	`jnl`	Graph clustering network with structure embedding enhanced. Pattern Recognit. Shifei Ding, Benyu Wu, Xiao Xu, Lili Guo, Ling Ding
2023	C	`conf`	Heterogeneous Multi-Agent Communication Learning via Graph Information Maximization. SEKE Wei Du, Shifei Ding
2023	J	`jnl`	Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression. IEEE Trans. Cogn. Dev. Syst. Shifei Ding, Chenglong Zhang, Jian Zhang, Lili Guo, Ling Ding
2023	J	`jnl`	Maximum density minimum redundancy based hypergraph regularized support vector regression. Int. J. Mach. Learn. Cybern. Shifei Ding, Yuting Sun, Jian Zhang, Lili Guo, Xiao Xu, Zichen Zhang
2023	J	`jnl`	Multi-agent dueling Q-learning with mean field and value decomposition. Pattern Recognit. Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An
2023	J	`jnl`	Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network. IEEE Trans. Neural Networks Learn. Syst. Wei Du, Shifei Ding, Chenglong Zhang, Zhongzhi Shi
2023	Misc	`conf`	SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU. ICASSP Qidong Wang, Lili Guo, Shifei Ding, Jian Zhang, Xiao Xu
2023	J	`jnl`	Semi-supervised deep density clustering. Appl. Soft Comput. Xiao Xu, Haiwei Hou, Shifei Ding
2023	J	`jnl`	Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution. Int. J. Mach. Learn. Cybern. Lili Guo, Yanru Wang, Fanchao Wang, Ling Ding, Shifei Ding
2022	J	`jnl`	A Gaussian RBM with binary auxiliary units. Int. J. Mach. Learn. Cybern. Jian Zhang, Shifei Ding, Tongfeng Sun, Lili Guo
2022	J	`jnl`	A deep clustering by multi-level feature fusion. Int. J. Mach. Learn. Cybern. Haiwei Hou, Shifei Ding, Xiao Xu
2022	J	`jnl`	A manifold p-spectral clustering with sparrow search algorithm. Soft Comput. Yanru Wang, Shifei Ding, Lijuan Wang, Shuying Du
2022	J	`jnl`	A novel dense capsule network based on dense capsule layers. Appl. Intell. Guangcong Sun, Shifei Ding, Tongfeng Sun, Chenglong Zhang, Wei Du
2022	—	`conf`	An AdaBoost Based - Deep Stochastic Configuration Network. IIP Chenglong Zhang, Shifei Ding, Ling Ding
2022	J	`jnl`	An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit. Inf. Sci. Shifei Ding, Zichen Zhang, Lili Guo, Yuting Sun
2022	J	`jnl`	Broad learning system based ensemble deep model. Soft Comput. Chenglong Zhang, Shifei Ding, Lili Guo, Jian Zhang
2022	J	`jnl`	Broad stochastic configuration network for regression. Knowl. Based Syst. Chenglong Zhang, Shifei Ding, Wei Du
2022	J	`jnl`	Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information. IEEE Multim. Lili Guo, Longbiao Wang, Jianwu Dang, Yahui Fu, Jiaxing Liu, Shifei Ding
2022	J	`jnl`	Fast density peaks clustering algorithm in polar coordinate system. Appl. Intell. Chao Li, Shifei Ding, Xiao Xu, Shuying Du, Tianhao Shi
2022	J	`jnl`	Hypergraph based semi-supervised support vector machine for binary and multi-category classifications. Int. J. Mach. Learn. Cybern. Yuting Sun, Shifei Ding, Zichen Zhang, Chenglong Zhang
2022	J	`jnl`	Hypergraph regularized semi-supervised support vector machine. Inf. Sci. Yuting Sun, Shifei Ding, Lili Guo, Zichen Zhang
2022	J	`jnl`	Image Style Transfering Based on StarGAN and Class Encoder. Int. J. Softw. Informatics Xinzheng Xu, Jianying Chang, Shifei Ding
2022	J	`jnl`	Low-degree term first in ResNet, its variants and the whole neural network family. Neural Networks Tongfeng Sun, Shifei Ding, Lili Guo
2022	J	`jnl`	Multiple birth support vector machine based on dynamic quantum particle swarm optimization algorithm. Neurocomputing Shifei Ding, Zichen Zhang, Yuting Sun, Songhui Shi
2022	J	`jnl`	Value function factorization with dynamic weighting for deep multi-agent reinforcement learning. Inf. Sci. Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Chenglong Zhang, Ling Ding
2021	J	`jnl`	A community detection algorithm based on Quasi-Laplacian centrality peaks clustering. Appl. Intell. Tianhao Shi, Shifei Ding, Xiao Xu, Ling Ding
2021	J	`jnl`	A fast density peaks clustering algorithm with sparse search. Inf. Sci. Xiao Xu, Shifei Ding, Yanru Wang, Lijuan Wang, Weikuan Jia
2021	J	`jnl`	A novel clustering ensemble model based on granular computing. Appl. Intell. Li Xu, Shifei Ding
2021	J	`jnl`	A novel self-attention deep subspace clustering. Int. J. Mach. Learn. Cybern. Zhengfan Chen, Shifei Ding, Haiwei Hou
2021	J	`jnl`	A robust spectral clustering algorithm based on grid-partition and decision-graph. Int. J. Mach. Learn. Cybern. Lijuan Wang, Shifei Ding, Yanru Wang, Ling Ding
2021	J	`jnl`	A stochastic configuration network based on chaotic sparrow search algorithm. Knowl. Based Syst. Chenglong Zhang, Shifei Ding
2021	J	`jnl`	A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications. Artif. Intell. Rev. Wei Du, Shifei Ding
2021	J	`jnl`	An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition. Expert Syst. Appl. Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding
2021	J	`jnl`	An improved density-based adaptive p-spectral clustering algorithm. Int. J. Mach. Learn. Cybern. Yanru Wang, Shifei Ding, Lijuan Wang, Ling Ding
2021	J	`jnl`	An improved grid search algorithm to optimize SVR for prediction. Soft Comput. Yuting Sun, Shifei Ding, Zichen Zhang, Weikuan Jia
2021	J	`jnl`	An iterative stacked weighted auto-encoder. Soft Comput. Tongfeng Sun, Shifei Ding, Xinzheng Xu
2021	J	`jnl`	An optimized support vector regression for prediction of bearing degradation. Appl. Soft Comput. Chenglong Zhang, Shifei Ding, Yuting Sun, Zichen Zhang
2021	J	`jnl`	Blind video quality assessment based on multilevel video perception. Signal Process. Image Commun. Tongfeng Sun, Shifei Ding, Wei Chen
2021	J	`jnl`	Chameleon algorithm based on improved natural neighbor graph generating sub-clusters. Appl. Intell. Yuru Zhang, Shifei Ding, Yanru Wang, Haiwei Hou
2021	J	`jnl`	Chameleon algorithm based on mutual k-nearest neighbors. Appl. Intell. Yuru Zhang, Shifei Ding, Lijuan Wang, Yanru Wang, Ling Ding
2021	J	`jnl`	Dual-granularity weighted ensemble clustering. Knowl. Based Syst. Li Xu, Shifei Ding
2021	J	`jnl`	M-pSC: a manifold p-spectral clustering algorithm. Int. J. Mach. Learn. Cybern. Ling Ding, Shifei Ding, Yanru Wang, Lijuan Wang, Hongjie Jia
2021	J	`jnl`	MBSVR: Multiple birth support vector regression. Inf. Sci. Zichen Zhang, Shifei Ding, Yuting Sun
2021	J	`jnl`	Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning. Int. J. Mach. Learn. Cybern. Wei Du, Shifei Ding, Chenglong Zhang, Shuying Du
2021	J	`jnl`	Parallel stochastic configuration networks for large-scale data regression. Appl. Soft Comput. Chenglong Zhang, Shifei Ding, Jian (Andrew) Zhang, Weikuan Jia
2021	J	`jnl`	SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network. Neurocomputing Guangcong Sun, Shifei Ding, Tongfeng Sun, Chenglong Zhang
2020	J	`jnl`	A novel prediction method of complex univariate time series based on k-means clustering. Soft Comput. Yunxin Liu, Shifei Ding, Weikuan Jia
2020	J	`jnl`	A robust density peaks clustering algorithm with density-sensitive similarity. Knowl. Based Syst. Xiao Xu, Shifei Ding, Lijuan Wang, Yanru Wang
2020	J	`jnl`	A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task. Neurocomputing Zichen Zhang, Shifei Ding, Yuting Sun
2020	J	`jnl`	Active constraint spectral clustering based on Hessian matrix. Soft Comput. Xiaoyu Wang, Shifei Ding, Weikuan Jia
2020	J	`jnl`	Adversarial Training Methods for Boltzmann Machines. IEEE Access Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia
2020	J	`jnl`	An adversarial non-volume preserving flow model with Boltzmann priors. Int. J. Mach. Learn. Cybern. Jian Zhang, Shifei Ding, Weikuan Jia
2020	J	`jnl`	Energy-based structural least squares MBSVM for classification. Appl. Intell. Songhui Shi, Shifei Ding, Zichen Zhang, Weikuan Jia
2020	J	`jnl`	Ensemble Adaptation Networks with low-cost unsupervised hyper-parameter search. Pattern Anal. Appl. Haotian Zhang, Shifei Ding, Weikuan Jia
2020	—	`conf`	Link-Based Cluster Ensemble Method for Improved Meta-clustering Algorithm. IIP Changlong Shao, Shifei Ding
2020	J	`jnl`	Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning. IEEE Access Lijuan Wang, Shifei Ding
2020	J	`jnl`	Multi-view RBM with posterior consistency and domain adaptation. Inf. Sci. Nan Zhang, Shifei Ding, Tongfeng Sun, Hongmei Liao, Lijuan Wang, Zhongzhi Shi
2020	J	`jnl`	Multiple birth support vector machine based on recurrent neural networks. Appl. Intell. Shifei Ding, Yuting Sun, Yuexuan An, Weikuan Jia
2020	J	`jnl`	Research on adaptive local feature enhancement in convolutional neural networks. IET Image Process. Tongfeng Sun, Changlong Shao, Hongmei Liao, Shifei Ding, Xinzheng Xu
2020	J	`jnl`	Research on fingerprint classification based on twin support vector machine. IET Image Process. Shifei Ding, Songhui Shi, Weikuan Jia
2020	J	`jnl`	Robust spike-and-slab deep Boltzmann machines for face denoising. Neural Comput. Appl. Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao
2020	J	`jnl`	Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters. IET Image Process. Shifei Ding, Lijuan Wang, Lin Cong
2019	J	`jnl`	A comparative study of neural-network feature weighting. Artif. Intell. Rev. Tongfeng Sun, Shifei Ding, Pin Li, Wei Chen
2019	J	`jnl`	A feasible density peaks clustering algorithm with a merging strategy. Soft Comput. Xiao Xu, Shifei Ding, Hui Xu, Hongmei Liao, Yu Xue
2019	J	`jnl`	A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems. Eng. Appl. Artif. Intell. Zichen Zhang, Shifei Ding, Weikuan Jia
2019	J	`jnl`	A multiway Knowl. Based Syst. Shifei Ding, Lin Cong, Qiankun Hu, Hongjie Jia, Zhongzhi Shi
2019	J	`jnl`	A new asynchronous reinforcement learning algorithm based on improved parallel PSO. Appl. Intell. Shifei Ding, Wei Du, Xingyu Zhao, Lijuan Wang, Weikuan Jia
2019	J	`jnl`	A novel density peaks clustering with sensitivity of local density and density-adaptive metric. Knowl. Inf. Syst. Mingjing Du, Shifei Ding, Yu Xue, Zhongzhi Shi
2019	J	`jnl`	A review on multi-class TWSVM. Artif. Intell. Rev. Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue
2019	J	`jnl`	An Improvement of Spectral Clustering via Message Passing and Density Sensitive Similarity. IEEE Access Lijuan Wang, Shifei Ding, Hongjie Jia
2019	J	`jnl`	An effective asynchronous framework for small scale reinforcement learning problems. Appl. Intell. Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia
2019	J	`jnl`	Applications of asynchronous deep reinforcement learning based on dynamic updating weights. Appl. Intell. Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia
2019	J	`jnl`	BEMD image fusion based on PCNN and compressed sensing. Soft Comput. Shifei Ding, Peng Du, Xingyu Zhao, Qiangbo Zhu, Yu Xue
2019	J	`jnl`	L1-norm loss-based projection twin support vector machine for binary classification. Soft Comput. Xiaopeng Hua, Sen Xu, Jun Gao, Shifei Ding
2019	J	`jnl`	Multimodal correlation deep belief networks for multi-view classification. Appl. Intell. Nan Zhang, Shifei Ding, Hongmei Liao, Weikuan Jia
2019	J	`jnl`	Research Progress on Semi-Supervised Clustering. Cogn. Comput. Yue Qin, Shifei Ding, Lijuan Wang, Yanru Wang
2019	J	`jnl`	Single image super-resolution using a polymorphic parallel CNN. Appl. Intell. Kai Zeng, Shifei Ding, Weikuan Jia
2019	J	`jnl`	The multi-tag semantic correlation used for micro-blog user interest modeling. Eng. Appl. Artif. Intell. Yanru Wang, Shifei Ding, Xiao Xu, Weikuan Jia
2019	J	`jnl`	半监督聚类综述 (Survey of Semi-supervised Clustering). 计算机科学 Yue Qin, Shifei Ding
2019	J	`jnl`	多智能体强化学习综述 (Overview on Multi-agent Reinforcement Learning). 计算机科学 Wei Du, Shifei Ding
2018	—	`conf`	A Fast Density Peaks Clustering Algorithm Based on Pre-Screening. BigComp Xiao Xu, Shifei Ding, Tongfeng Sun
2018	—	`conf`	A K-AP Clustering Algorithm Based on Manifold Similarity Measure. IIP Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding
2018	J	`jnl`	A robust density peaks clustering algorithm using fuzzy neighborhood. Int. J. Mach. Learn. Cybern. Mingjing Du, Shifei Ding, Yu Xue
2018	J	`jnl`	A semi-supervised approximate spectral clustering algorithm based on HMRF model. Inf. Sci. Shifei Ding, Hongjie Jia, Mingjing Du, Yu Xue
2018	J	`jnl`	An image response framework for no-reference image quality assessment. Comput. Electr. Eng. Tongfeng Sun, Shifei Ding, Xinzheng Xu
2018	J	`jnl`	An improved density peaks clustering algorithm with fast finding cluster centers. Knowl. Based Syst. Xiao Xu, Shifei Ding, Zhongzhi Shi
2018	J	`jnl`	An improved fingerprint orientation field extraction method based on quality grading scheme. Int. J. Mach. Learn. Cybern. Weixin Bian, Shifei Ding, Yu Xue
2018	J	`jnl`	An overview on Restricted Boltzmann Machines. Neurocomputing Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue
2018	J	`jnl`	An overview on probability undirected graphs and their applications in image processing. Neurocomputing Jian Zhang, Shifei Ding, Nan Zhang
2018	J	`jnl`	Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. Appl. Intell. Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia
2018	J	`jnl`	Collaborative filtering model for enhancing fingerprint image. IET Image Process. Weixin Bian, Shifei Ding, Weikuan Jia
2018	J	`jnl`	DPCG: an efficient density peaks clustering algorithm based on grid. Int. J. Mach. Learn. Cybern. Xiao Xu, Shifei Ding, Mingjing Du, Yu Xue
2018	J	`jnl`	Density peaks clustering using geodesic distances. Int. J. Mach. Learn. Cybern. Mingjing Du, Shifei Ding, Xiao Xu, Yu Xue
2018	J	`jnl`	Discrete space reinforcement learning algorithm based on support vector machine classification. Pattern Recognit. Lett. Yuexuan An, Shifei Ding, Songhui Shi, Jingcan Li
2018	J	`jnl`	Image segmentation algorithm based on superpixel clustering. IET Image Process. Lin Cong, Shifei Ding, Lijuan Wang, Aijuan Zhang, Weikuan Jia
2018	J	`jnl`	Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors. Soft Comput. Shifei Ding, Xiao Xu, Shuyan Fan, Yu Xue
2018	—	`conf`	Multi-view Restricted Boltzmann Machines with Posterior Consistency. IIP Shifei Ding, Nan Zhang, Jian Zhang
2018	J	`jnl`	NSCT-PCNN image fusion based on image gradient motivation. IET Comput. Vis. Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue
2018	J	`jnl`	Rank-Adaptive Non-Negative Matrix Factorization. Cogn. Comput. Dong Shan, Xinzheng Xu, Tianming Liang, Shifei Ding
2018	J	`jnl`	Research and development of neural network ensembles: a survey. Artif. Intell. Rev. Hui Li, Xuesong Wang, Shifei Ding
2018	J	`jnl`	Research of stacked denoising sparse autoencoder. Neural Comput. Appl. Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang
2018	J	`jnl`	Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm. Soft Comput. Shuyan Fan, Shifei Ding, Yu Xue
2018	J	`jnl`	孪生支持向量机综述 (Twin Support Vector Machine: A Review). 计算机科学 Yuexuan An, Shifei Ding, Jipu Hu
2018	J	`jnl`	深度强化学习研究综述 (Research on Deep Reinforcement Learning). 计算机科学 Xingyu Zhao, Shifei Ding
2017	J	`jnl`	A Nyström spectral clustering algorithm based on probability incremental sampling. Soft Comput. Hongjie Jia, Shifei Ding, Mingjing Du
2017	J	`jnl`	A Review on Feature Binding Theory and Its Functions Observed in Perceptual Process. Cogn. Comput. Shifei Ding, Lingheng Meng, Youzhen Han, Yu Xue
2017	J	`jnl`	A novel density peaks clustering algorithm for mixed data. Pattern Recognit. Lett. Mingjing Du, Shifei Ding, Yu Xue
2017	J	`jnl`	An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood. Knowl. Based Syst. Shifei Ding, Mingjing Du, Tongfeng Sun, Xiao Xu, Yu Xue
2017	J	`jnl`	An improved multiple birth support vector machine for pattern classification. Neurocomputing Xiekai Zhang, Shifei Ding, Yu Xue
2017	J	`jnl`	An overview on semi-supervised support vector machine. Neural Comput. Appl. Shifei Ding, Zhibin Zhu, Xiekai Zhang
2017	J	`jnl`	Combining Gabor filtering and classification dictionaries learning for fingerprint enhancement. IET Biom. Shifei Ding, Weixin Bian, Hongmei Liao, Tongfeng Sun, Yu Xue
2017	J	`jnl`	Combining weighted linear project analysis with orientation diffusion for fingerprint orientation field reconstruction. Inf. Sci. Weixin Bian, Shifei Ding, Yu Xue
2017	J	`jnl`	Extreme learning machine with kernel model based on deep learning. Neural Comput. Appl. Shifei Ding, Lili Guo, Yanlu Hou
2017	J	`jnl`	Fingerprint enhancement rooted in the spectra diffusion by the aid of the 2D adaptive Chebyshev band-pass filter with orientation-selective. Inf. Sci. Shifei Ding, Weixin Bian, Tongfeng Sun, Yu Xue
2017	J	`jnl`	Fingerprint image super resolution using sparse representation with ridge pattern prior by classification coupled dictionaries. IET Biom. Weixin Bian, Shifei Ding, Yu Xue
2017	—	`conf`	L-DP: A Hybrid Density Peaks Clustering Method. DMBD Mingjing Du, Shifei Ding
2017	J	`jnl`	Medical images segmentation based on improved three-dimensional pulse coupled neural network. Int. J. Wirel. Mob. Comput. Maxin Wang, Xinzheng Xu, Guanying Wang, Shifei Ding, Tongfeng Sun
2017	J	`jnl`	Pulse-coupled neural networks and parameter optimization methods. Neural Comput. Appl. Xinzheng Xu, Guanying Wang, Shifei Ding, Yuhu Cheng, Xuesong Wang
2017	J	`jnl`	Research on Point-wise Gated Deep Networks. Appl. Soft Comput. Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue
2017	J	`jnl`	Research on denoising sparse autoencoder. Int. J. Mach. Learn. Cybern. Lingheng Meng, Shifei Ding, Yu Xue
2017	J	`jnl`	Twin support vector machine: theory, algorithm and applications. Neural Comput. Appl. Shifei Ding, Nan Zhang, Xiekai Zhang, Fulin Wu
2017	J	`jnl`	Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data. Memetic Comput. Nan Zhang, Shifei Ding
2017	J	`jnl`	Unsupervised extreme learning machine with representational features. Int. J. Mach. Learn. Cybern. Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi
2017	J	`jnl`	Wavelet twin support vector machines based on glowworm swarm optimization. Neurocomputing Shifei Ding, Yuexuan An, Xiekai Zhang, Fulin Wu, Yu Xue
2017	J	`jnl`	Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification. Pattern Recognit. Shifei Ding, Xiekai Zhang, Yuexuan An, Yu Xue
2016	—	`conf`	A Novel Locally Multiple Kernel k-means Based on Similarity. IIP Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu
2016	B	`conf`	A resolution method for linguistic truth-valued intuitionistic fuzzy first-order logic. FUZZ-IEEE Lin Xiao, Jia Meng, Shifei Ding, Li Zou
2016	J	`jnl`	A wavelet extreme learning machine. Neural Comput. Appl. Shifei Ding, Jian Zhang, Xinzheng Xu, Yanan Zhang
2016	J	`jnl`	An Adaptive Density Data Stream Clustering Algorithm. Cogn. Comput. Shifei Ding, Jian Zhang, Hongjie Jia, Jun Qian
2016	J	`jnl`	An overview on rough neural networks. Neural Comput. Appl. Hongmei Liao, Shifei Ding, Miaomiao Wang, Gang Ma
2016	J	`jnl`	Approximate normalized cuts without Eigen-decomposition. Inf. Sci. Hongjie Jia, Shifei Ding, Mingjing Du, Yu Xue
2016	—	`conf`	Boltzmann Machine and its Applications in Image Recognition. IIP Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou
2016	J	`jnl`	Denoising Laplacian multi-layer extreme learning machine. Neurocomputing Nan Zhang, Shifei Ding, Zhongzhi Shi
2016	B	`conf`	Granular multiple birth support vector machine based on weighted linear loss. IJCNN Shifei Ding, Xiekai Zhang
2016	J	`jnl`	Incremental extreme learning machine based on deep feature embedded. Int. J. Mach. Learn. Cybern. Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi
2016	J	`jnl`	Medical image registration based on self-adapting pulse-coupled neural networks and mutual information. Neural Comput. Appl. Guanying Wang, Xinzheng Xu, Xiangying Jiang, Shifei Ding
2016	J	`jnl`	Multi layer ELM-RBF for multi-label learning. Appl. Soft Comput. Nan Zhang, Shifei Ding, Jian Zhang
2016	J	`jnl`	Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm. Int. J. Mach. Learn. Cybern. Xiekai Zhang, Shifei Ding, Tongfeng Sun
2016	J	`jnl`	No-reference image quality assessment based on gradient histogram response. Comput. Electr. Eng. Tongfeng Sun, Shifei Ding, Wei Chen, Xinzheng Xu
2016	J	`jnl`	Recent advances in Support Vector Machines. Neurocomputing Shifei Ding, Zhongzhi Shi, Dacheng Tao, Bo An
2016	J	`jnl`	Research of multi-sided multi-granular neural network ensemble optimization method. Neurocomputing Hui Li, Xuesong Wang, Shifei Ding
2016	J	`jnl`	Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering. Cogn. Comput. Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang
2016	J	`jnl`	Study on density peaks clustering based on k-nearest neighbors and principal component analysis. Knowl. Based Syst. Mingjing Du, Shifei Ding, Hongjie Jia
2016	J	`jnl`	Twin support vector machines based on fruit fly optimization algorithm. Int. J. Mach. Learn. Cybern. Shifei Ding, Xiekai Zhang, Junzhao Yu
2016	J	`jnl`	Weight Uncertainty in Boltzmann Machine. Cogn. Comput. Jian Zhang, Shifei Ding, Nan Zhang, Yu Xue
2016	—	`conf`	p-Spectral Clustering Based on Neighborhood Attribute Granulation. IIP Shifei Ding, Hongjie Jia, Mingjing Du, Qiankun Hu
2016	J	`jnl`	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). 计算机科学 Hong Zhu, Shifei Ding
2016	J	`jnl`	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). 计算机科学 Xiekai Zhang, Shifei Ding
2015	J	`jnl`	A new method for constructing granular neural networks based on rule extraction and extreme learning machine. Pattern Recognit. Lett. Xinzheng Xu, Guanying Wang, Shifei Ding, Xiangying Jiang, Zuopeng Zhao
2015	J	`jnl`	An adaptive extreme learning machine algorithm and its application on face recognition. Int. J. Comput. Sci. Math. Jian Ni, Xinzheng Xu, Shifei Ding, Tongfeng Sun
2015	J	`jnl`	An optimized classification algorithm by BP neural network based on PLS and HCA. Appl. Intell. Weikuan Jia, Dean Zhao, Tian Shen, Shifei Ding, Yuyan Zhao, Chanli Hu
2015	J	`jnl`	Extreme learning machine: algorithm, theory and applications. Artif. Intell. Rev. Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie
2015	J	`jnl`	Mixed and Continuous Strategy Monitor-Forward Game Based Selective Forwarding Solution in WSN. Int. J. Distributed Sens. Networks Hongmei Liao, Shifei Ding
2015	J	`jnl`	Research on data stream clustering algorithms. Artif. Intell. Rev. Shifei Ding, Fulin Wu, Jun Qian, Hongjie Jia, Fengxiang Jin
2015	J	`jnl`	Research on the hybrid models of granular computing and support vector machine. Artif. Intell. Rev. Shifei Ding, Huajuan Huang, Junzhao Yu, Han Zhao
2015	J	`jnl`	Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors. Cogn. Comput. Hongjie Jia, Shifei Ding, Mingjing Du
2015	J	`jnl`	Twice clustering based individual neural network generation method. Neurocomputing Shifei Ding, Hui Li
2015	J	`jnl`	Weighted least squares projection twin support vector machines with local information. Neurocomputing Xiaopeng Hua, Shifei Ding
2015	J	`jnl`	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). 计算机科学 Hui Li, Shifei Ding
2015	J	`jnl`	深度学习研究进展 (Research Progress on Deep Learning). 计算机科学 Lili Guo, Shifei Ding
2014	J	`jnl`	A Rough RBF Neural Network Based on Weighted Regularized Extreme Learning Machine. Neural Process. Lett. Shifei Ding, Gang Ma, Zhongzhi Shi
2014	J	`jnl`	A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction. Neural Comput. Appl. Hongjie Jia, Shifei Ding, Lingheng Meng, Shuyan Fan
2014	J	`jnl`	A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network. Neural Comput. Appl. Shifei Ding, Gang Ma, Zhongzhi Shi
2014	J	`jnl`	An overview on nonparallel hyperplane support vector machine algorithms. Neural Comput. Appl. Shifei Ding, Xiaopeng Hua, Junzhao Yu
2014	J	`jnl`	An overview on twin support vector machines. Artif. Intell. Rev. Shifei Ding, Junzhao Yu, Bingjuan Qi, Huajuan Huang
2014	J	`jnl`	Extreme learning machine and its applications. Neural Comput. Appl. Shifei Ding, Xinzheng Xu, Ru Nie
2014	J	`jnl`	Granular neural networks. Artif. Intell. Rev. Shifei Ding, Hongjie Jia, Jinrong Chen, Fengxiang Jin
2014	J	`jnl`	Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm. J. Comput. Fulin Wu, Shifei Ding, Huajuan Huang, Zhibin Zhu
2014	J	`jnl`	Polynomial Smooth Twin Support Vector Machines Based on Invasive Weed Optimization Algorithm. J. Comput. Shifei Ding, Huajuan Huang, Junzhao Yu, Fulin Wu
2014	J	`jnl`	Recursive least squares projection twin support vector machines for nonlinear classification. Neurocomputing Shifei Ding, Xiaopeng Hua
2014	J	`jnl`	Reduced-reference image quality assessment through SIFT intensity ratio. Int. J. Mach. Learn. Cybern. Tongfeng Sun, Shifei Ding, Wei Chen
2014	—	`conf`	Research and Application Analysis of Feature Binding Mechanism. IIP Youzhen Han, Shifei Ding
2014	J	`jnl`	Research of semi-supervised spectral clustering algorithm based on pairwise constraints. Neural Comput. Appl. Shifei Ding, Hongjie Jia, Liwen Zhang, Fengxiang Jin
2014	J	`jnl`	Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy. J. Comput. Hongjie Jia, Shifei Ding, Heng Ma, Wanqiu Xing
2014	J	`jnl`	The latest research progress on spectral clustering. Neural Comput. Appl. Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie
2014	J	`jnl`	Track on Intelligent Computing and Applications: Selected papers from the 2012 International Workshop on Information, Intelligence and Computing (IWIIC 2012). Neurocomputing Shifei Ding, Zhongzhi Shi
2014	J	`jnl`	Twin Support Vector Machines Based on the Mixed Kernel function. J. Comput. Fulin Wu, Shifei Ding
2014	J	`jnl`	Wavelet twin support vector machine. Neural Comput. Appl. Shifei Ding, Fulin Wu, Zhongzhi Shi
2013	J	`jnl`	A Feature Weighted Spectral Clustering Algorithm Based on Knowledge Entropy. J. Softw. Hongjie Jia, Shifei Ding, Hong Zhu, Fulin Wu, Lina Bao
2013	J	`jnl`	A Novel Extreme Learning Machine Based on Hybrid Kernel Function. J. Comput. Shifei Ding, Yanan Zhang, Xinzheng Xu, Lina Bao
2013	J	`jnl`	A fast fuzzy support vector machine based on information granulation. Neural Comput. Appl. Shifei Ding, Youzhen Han, Junzhao Yu, Yaxiang Gu
2013	J	`jnl`	A parallel attribute reduction algorithm based on Affinity Propagation clustering. J. Comput. Hong Zhu, Shifei Ding, Xinzheng Xu, Li Xu
2013	J	`jnl`	An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets. J. Comput. Yanan Zhang, Shifei Ding, Xinzheng Xu, Han Zhao, Wanqiu Xing
2013	J	`jnl`	Attribute Granulation Based on Attribute Discernibility and AP Algorithm. J. Softw. Hong Zhu, Shifei Ding, Han Zhao, Lina Bao
2013	J	`jnl`	Evolutionary artificial neural networks: a review. Artif. Intell. Rev. Shifei Ding, Hui Li, Chunyang Su, Junzhao Yu, Fengxiang Jin
2013	—	`conf`	Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression. ICIC (1) Shifei Ding, Huajuan Huang, Ru Nie
2013	J	`jnl`	Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines. J. Comput. Huajuan Huang, Shifei Ding, Hong Zhu, Xinzheng Xu
2013	J	`jnl`	Novel Image Recognition Based on Subspace and SIFT. J. Softw. Tongfeng Sun, Shifei Ding, Zihui Ren
2013	J	`jnl`	Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS). Neural Comput. Appl. Xinzheng Xu, Shifei Ding, Weikuan Jia, Gang Ma, Fengxiang Jin
2013	J	`jnl`	Research of semi-supervised spectral clustering based on constraints expansion. Neural Comput. Appl. Shifei Ding, Bingjuan Qi, Hongjie Jia, Hong Zhu, Liwen Zhang
2013	J	`jnl`	Research on using genetic algorithms to optimize Elman neural networks. Neural Comput. Appl. Shifei Ding, Yanan Zhang, Jinrong Chen, Weikuan Jia
2013	J	`jnl`	Twin Support Vector Machines Based on Particle Swarm Optimization. J. Comput. Shifei Ding, Junzhao Yu, Huajuan Huang, Han Zhao
2013	J	`jnl`	Twin Support Vector Machines Based on Quantum Particle Swarm Optimization. J. Softw. Shifei Ding, Fulin Wu, Ru Nie, Junzhao Yu, Huajuan Huang
2012	J	`jnl`	A survey on feature extraction for pattern recognition. Artif. Intell. Rev. Shifei Ding, Hong Zhu, Weikuan Jia, Chunyang Su
2012	J	`jnl`	An optimizing method of RBF neural network based on genetic algorithm. Neural Comput. Appl. Shifei Ding, Li Xu, Chunyang Su, Fengxiang Jin
2012	J	`jnl`	Guest Editorial. J. Comput. Shifei Ding
2012	J	`jnl`	Guest Editorial. J. Comput. Shifei Ding, Zhengtao Yu
2012	J	`jnl`	Guest Editorial. J. Networks Shifei Ding
2012	J	`jnl`	Guest Editorial. J. Softw. Shifei Ding
2012	J	`jnl`	Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm. J. Zhejiang Univ. Sci. C Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu
2012	J	`jnl`	Research of granular support vector machine. Artif. Intell. Rev. Shifei Ding, Bingjuan Qi
2011	J	`jnl`	An optimizing BP neural network algorithm based on genetic algorithm. Artif. Intell. Rev. Shifei Ding, Chunyang Su, Junzhao Yu
2011	J	`jnl`	Guest Editorial. J. Softw. Feng Gao, Tokuro Matsuo, Junhu Zhang, Shifei Ding
2011	J	`jnl`	Incremental Learning Algorithm for Support Vector Data Description. J. Softw. Xiaopeng Hua, Shifei Ding
2011	J	`jnl`	Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network. J. Comput. Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao
2011	Misc	`conf`	Region-based semi-supervised clustering image segmentation. ICNC Tongfeng Sun, Zihui Ren, Shifei Ding
2011	J	`jnl`	Research of neural network algorithm based on factor analysis and cluster analysis. Neural Comput. Appl. Shifei Ding, Weikuan Jia, Chunyang Su, Liwen Zhang, Lili Liu
2011	J	`jnl`	Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA). J. Comput. Shifei Ding, Xinzheng Xu, Hong Zhu, Jian Wang, Fengxiang Jin
2010	J	`jnl`	An Improved BP Neural Network Algorithm Based on Factor Analysis. J. Convergence Inf. Technol. Shifei Ding, Weikuan Jia, Chunyang Su, Xiaoliang Liu, Jinrong Chen
2010	J	`jnl`	Guest Editorial. J. Networks Feng Gao, Bin Wang, Deyun Yang, Junhu Zhang, Shifei Ding
2010	J	`jnl`	Guest Editorial. J. Softw. Feng Gao, Bin Wang, Deyun Yang, Junhu Zhang, Shifei Ding
2010	—	`conf`	Neural Networks Algorithm Based on Factor Analysis. ISNN (1) Shifei Ding, Weikuan Jia, Xinzheng Xu, Hong Zhu
2010	J	`jnl`	Research and Progress of Cluster Algorithms based on Granular Computing. J. Digit. Content Technol. its Appl. Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
2010	J	`jnl`	Using Genetic Algorithms to Optimize Artificial Neural Networks. J. Convergence Inf. Technol. Shifei Ding, Li Xu, Chunyang Su, Hong Zhu
2009	J	`jnl`	Research on a principal components decision algorithm based on information entropy. J. Inf. Sci. Shifei Ding, Yongping Zhang, Xiaofeng Lei, Xinzheng Xu, Xin Wang, Li Wang, Qing He
2008	—	`conf`	A Novel Fuzzy Likelihood Measure Algorithm. CSSE (1) Shifei Ding, Fengxiang Jin
2008	Misc	`conf`	A Supervised Feature Extraction Algorithm for Multi-class. FAW Shifei Ding, Fengxiang Jin, Xiaofeng Lei, Zhongzhi Shi
2008	—	`conf`	A Supervised PLS Information Recognition Algorithm. ICIC (1) Fengxiang Jin, Shifei Ding
2008	—	`conf`	A Survey on Statistical Pattern Feature Extraction. ICIC (2) Shifei Ding, Weikuan Jia, Chunyang Su, Fengxiang Jin, Zhongzhi Shi
2008	B	`conf`	An improved PCA algorithm based on WIF. IJCNN Fengxiang Jin, Shifei Ding
2008	—	`conf`	Neural Network Research Progress and Applications in Forecast. ISNN (2) Shifei Ding, Weikuan Jia, Chunyang Su, Liwen Zhang, Zhongzhi Shi
2008	—	`conf`	PCA-Based Elman Neural Network Algorithm. ISICA Shifei Ding, Weikuan Jia, Chunyang Su, Xinzheng Xu, Liwen Zhang
2008	—	`conf`	Some Progress of Supervised Learning. ICIC (2) Chunyang Su, Shifei Ding, Weikuan Jia, Xin Wang, Xinzheng Xu
2008	—	`conf`	User Knowledge Requirement Model and its Hybrid Evolution Algorithm. ITNG Lei Zhang, Shixiong Xia, Shifei Ding, Yong Zhou, Qiulin Ding
2007	—	`conf`	Agent Grid Collaborative Schema Based on Policy. ICIC (3) Maoguang Wang, Zhongzhi Shi, Shixiong Xia, Shifei Ding
2007	—	`conf`	Diversity Analysis of Information Pattern and Information Clustering Algorithm. ISICA Shifei Ding, Wei Ning, Zhongzhi Shi
2007	—	`conf`	Hierarchical Policy for Agent Grid Collaboration. GCC Maoguang Wang, Zhongzhi Shi, Shifei Ding
2007	—	`conf`	Studies on Fuzzy Information Measures. FSKD (3) Shifei Ding, Zhongzhi Shi, Shixiong Xia, Fengxiang Jin
2007	—	`conf`	Supervised Information Feature Compression Algorithm Based on Divergence Criterion. ICIC (2) Shifei Ding, Wei Ning, Fengxiang Jin, Shixiong Xia, Zhongzhi Shi
2006	—	`conf`	Studies on Fuzzy Information Measures. IEEE ICCI Shifei Ding, Zhongzhi Shi, Fengxiang Jin
2006	—	`conf`	Supervised Feature Extraction Algorithm Based on Continuous Divergence Criterion. ICIC (2) Shifei Ding, Zhongzhi Shi, Fengxiang Jin
2006	J	`jnl`	Supervised feature extraction algorithm based on improved polynomial entropy. J. Inf. Sci. Shifei Ding, Zhongzhi Shi