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2020 – today
- 2024
[j223]Youzhi Xiong
, Shifei Ding, Sanshan Sun, Li Liu, Zhongpei Zhang, Songjie Yang, Ning Wei:
Separate Channel Estimation and Data Detection for Semi-Passive RIS-Empowered Massive MIMO. IEEE Commun. Lett. 28(8): 1924-1928 (2024)- [j222]Hui Tu, Shifei Ding, Xiao Xu, Haiwei Hou, Chao Li, Ling Ding:
Non-iterative border-peeling clustering algorithm based on swap strategy. Inf. Sci. 654: 119864 (2024) - [j221]Shifei Ding, Qidong Wang, Lili Guo, Jian Zhang, Ling Ding:
A novel image denoising algorithm combining attention mechanism and residual UNet network. Knowl. Inf. Syst. 66(1): 581-611 (2024) - [j220]Lili Guo, Yikang Song, Shifei Ding:
Speaker-aware cognitive network with cross-modal attention for multimodal emotion recognition in conversation. Knowl. Based Syst. 296: 111969 (2024) - [j219]Tongfeng Sun, Xiurui Wang, Zhongnian Li, Shifei Ding:
Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features. Neural Networks 170: 453-467 (2024) - [j218]Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An:
Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3096-3107 (2024) - [j217]Ling Ding, Chao Li, Di Jin, Shifei Ding:
Survey of spectral clustering based on graph theory. Pattern Recognit. 151: 110366 (2024) - [j216]Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding:
Better value estimation in Q-learning-based multi-agent reinforcement learning. Soft Comput. 28(6): 5625-5638 (2024) - [j215]Zhizheng Liang, Shifei Ding:
Fuzzy Twin Support Vector Machines With Distribution Inputs. IEEE Trans. Fuzzy Syst. 32(1): 240-254 (2024) - [j214]Lili Guo, Jianglan Zhu, Chenglong Zhang, Shifei Ding:
Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems. IEEE Trans. Fuzzy Syst. 32(8): 4210-4219 (2024) - [j213]Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu:
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder. ACM Trans. Knowl. Discov. Data 18(8): 202:1-202:23 (2024) - [c38]Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang:
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. AAAI 2024: 17346-17353 - [c37]Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding:
Expressive Multi-Agent Communication via Identity-Aware Learning. AAAI 2024: 17354-17361 - [c36]Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo:
Deep Friendly Embedding Space for Clustering. Intelligent Information Processing (1) 2024: 92-105 - [i1]Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu:
Synergistic Deep Graph Clustering Network. CoRR abs/2406.15797 (2024) - 2023
- [j212]Xiao Xu, Qidong Wang, Lili Guo, Jian Zhang, Shifei Ding:
FEMRNet: Feature-enhanced multi-scale residual network for image denoising. Appl. Intell. 53(21): 26027-26049 (2023) - [j211]Xiangnan Liu, Shifei Ding, Xiao Xu, Lijuan Wang:
Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering. Appl. Soft Comput. 132: 109806 (2023) - [j210]Xiao Xu, Haiwei Hou, Shifei Ding:
Semi-supervised deep density clustering. Appl. Soft Comput. 148: 110903 (2023) - [j209]Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding:
Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding. Big Data Res. 33: 100395 (2023) - [j208]Shifei Ding, Wei Du, Xiao Xu, Tianhao Shi, Yanru Wang, Chao Li:
An improved density peaks clustering algorithm based on natural neighbor with a merging strategy. Inf. Sci. 624: 252-276 (2023) - [j207]Chao Li, Shifei Ding, Xiao Xu, Haiwei Hou, Ling Ding:
Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging. Inf. Sci. 647: 119470 (2023) - [j206]Shifei Ding, Wei Du, Chao Li, Xiao Xu, Lijuan Wang, Ling Ding:
Density peaks clustering algorithm based on improved similarity and allocation strategy. Int. J. Mach. Learn. Cybern. 14(4): 1527-1542 (2023) - [j205]Shifei Ding, Yuting Sun, Jian Zhang, Lili Guo, Xiao Xu, Zichen Zhang:
Maximum density minimum redundancy based hypergraph regularized support vector regression. Int. J. Mach. Learn. Cybern. 14(5): 1933-1950 (2023) - [j204]Lili Guo, Yanru Wang, Fanchao Wang, Ling Ding, Shifei Ding:
Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution. Int. J. Mach. Learn. Cybern. 14(8): 2793-2813 (2023) - [j203]Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi:
A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data. Pattern Recognit. 136: 109238 (2023) - [j202]Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An:
Multi-agent dueling Q-learning with mean field and value decomposition. Pattern Recognit. 139: 109436 (2023) - [j201]Shifei Ding, Benyu Wu, Xiao Xu, Lili Guo, Ling Ding:
Graph clustering network with structure embedding enhanced. Pattern Recognit. 144: 109833 (2023) - [j200]Haiwei Hou, Shifei Ding, Xiao Xu, Ling Ding:
A novel clustering algorithm based on multi-layer features and graph attention networks. Soft Comput. 27(9): 5553-5566 (2023) - [j199]Jian Zhang, Qinghai Xu, Lili Guo, Ling Ding, Shifei Ding:
A novel capsule network based on deep routing and residual learning. Soft Comput. 27(12): 7895-7906 (2023) - [j198]Shifei Ding, Chenglong Zhang, Jian Zhang, Lili Guo, Ling Ding:
Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression. IEEE Trans. Cogn. Dev. Syst. 15(2): 877-886 (2023) - [j197]Wei Du, Shifei Ding, Chenglong Zhang, Zhongzhi Shi:
Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6851-6860 (2023) - [c35]Qidong Wang, Lili Guo, Shifei Ding, Jian Zhang, Xiao Xu:
SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU. ICASSP 2023: 1-5 - [c34]Wei Du, Shifei Ding:
Heterogeneous Multi-Agent Communication Learning via Graph Information Maximization. SEKE 2023: 468-473 - 2022
- [j196]Guangcong Sun, Shifei Ding, Tongfeng Sun, Chenglong Zhang, Wei Du:
A novel dense capsule network based on dense capsule layers. Appl. Intell. 52(3): 3066-3076 (2022) - [j195]Chao Li, Shifei Ding, Xiao Xu, Shuying Du, Tianhao Shi:
Fast density peaks clustering algorithm in polar coordinate system. Appl. Intell. 52(12): 14478-14490 (2022) - [j194]Lili Guo, Longbiao Wang, Jianwu Dang, Yahui Fu, Jiaxing Liu, Shifei Ding:
Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information. IEEE Multim. 29(2): 94-103 (2022) - [j193]Shifei Ding, Zichen Zhang, Yuting Sun, Songhui Shi:
Multiple birth support vector machine based on dynamic quantum particle swarm optimization algorithm. Neurocomputing 480: 146-156 (2022) - [j192]Xinzheng Xu, Jianying Chang, Shifei Ding:
Image Style Transfering Based on StarGAN and Class Encoder. Int. J. Softw. Informatics 12(2): 245-258 (2022) - [j191]Yuting Sun, Shifei Ding, Lili Guo, Zichen Zhang:
Hypergraph regularized semi-supervised support vector machine. Inf. Sci. 591: 400-421 (2022) - [j190]Shifei Ding, Zichen Zhang, Lili Guo, Yuting Sun:
An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit. Inf. Sci. 598: 101-125 (2022) - [j189]Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Chenglong Zhang, Ling Ding:
Value function factorization with dynamic weighting for deep multi-agent reinforcement learning. Inf. Sci. 615: 191-208 (2022) - [j188]Chenglong Zhang, Shifei Ding, Wei Du:
Broad stochastic configuration network for regression. Knowl. Based Syst. 243: 108403 (2022) - [j187]Yuting Sun, Shifei Ding, Zichen Zhang, Chenglong Zhang:
Hypergraph based semi-supervised support vector machine for binary and multi-category classifications. Int. J. Mach. Learn. Cybern. 13(5): 1369-1386 (2022) - [j186]Jian Zhang, Shifei Ding, Tongfeng Sun, Lili Guo:
A Gaussian RBM with binary auxiliary units. Int. J. Mach. Learn. Cybern. 13(9): 2425-2433 (2022) - [j185]Haiwei Hou, Shifei Ding, Xiao Xu:
A deep clustering by multi-level feature fusion. Int. J. Mach. Learn. Cybern. 13(10): 2813-2823 (2022) - [j184]Tongfeng Sun, Shifei Ding, Lili Guo:
Low-degree term first in ResNet, its variants and the whole neural network family. Neural Networks 148: 155-165 (2022) - [j183]Yanru Wang, Shifei Ding, Lijuan Wang, Shuying Du:
A manifold p-spectral clustering with sparrow search algorithm. Soft Comput. 26(4): 1765-1777 (2022) - [j182]Chenglong Zhang, Shifei Ding, Lili Guo, Jian Zhang:
Broad learning system based ensemble deep model. Soft Comput. 26(15): 7029-7041 (2022) - [c33]Chenglong Zhang, Shifei Ding, Ling Ding:
An AdaBoost Based - Deep Stochastic Configuration Network. Intelligent Information Processing 2022: 3-14 - 2021
- [j181]Wei Du, Shifei Ding:
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications. Artif. Intell. Rev. 54(5): 3215-3238 (2021) - [j180]Yuru Zhang, Shifei Ding, Lijuan Wang, Yanru Wang, Ling Ding:
Chameleon algorithm based on mutual k-nearest neighbors. Appl. Intell. 51(4): 2031-2044 (2021) - [j179]Li Xu, Shifei Ding:
A novel clustering ensemble model based on granular computing. Appl. Intell. 51(8): 5474-5488 (2021) - [j178]Tianhao Shi, Shifei Ding, Xiao Xu, Ling Ding:
A community detection algorithm based on Quasi-Laplacian centrality peaks clustering. Appl. Intell. 51(11): 7917-7932 (2021) - [j177]Yuru Zhang, Shifei Ding, Yanru Wang, Haiwei Hou:
Chameleon algorithm based on improved natural neighbor graph generating sub-clusters. Appl. Intell. 51(11): 8399-8415 (2021) - [j176]Chenglong Zhang, Shifei Ding, Jian (Andrew) Zhang, Weikuan Jia:
Parallel stochastic configuration networks for large-scale data regression. Appl. Soft Comput. 103: 107143 (2021) - [j175]Chenglong Zhang, Shifei Ding, Yuting Sun, Zichen Zhang:
An optimized support vector regression for prediction of bearing degradation. Appl. Soft Comput. 113(Part): 108008 (2021) - [j174]Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding:
An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition. Expert Syst. Appl. 186: 115813 (2021) - [j173]Guangcong Sun, Shifei Ding, Tongfeng Sun, Chenglong Zhang:
SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network. Neurocomputing 423: 399-406 (2021) - [j172]Zichen Zhang, Shifei Ding, Yuting Sun:
MBSVR: Multiple birth support vector regression. Inf. Sci. 552: 65-79 (2021) - [j171]Xiao Xu, Shifei Ding, Yanru Wang, Lijuan Wang, Weikuan Jia:
A fast density peaks clustering algorithm with sparse search. Inf. Sci. 554: 61-83 (2021) - [j170]Chenglong Zhang, Shifei Ding:
A stochastic configuration network based on chaotic sparrow search algorithm. Knowl. Based Syst. 220: 106924 (2021) - [j169]Li Xu, Shifei Ding:
Dual-granularity weighted ensemble clustering. Knowl. Based Syst. 225: 107124 (2021) - [j168]Ling Ding, Shifei Ding, Yanru Wang, Lijuan Wang, Hongjie Jia:
M-pSC: a manifold p-spectral clustering algorithm. Int. J. Mach. Learn. Cybern. 12(2): 541-553 (2021) - [j167]Lijuan Wang, Shifei Ding, Yanru Wang, Ling Ding:
A robust spectral clustering algorithm based on grid-partition and decision-graph. Int. J. Mach. Learn. Cybern. 12(5): 1243-1254 (2021) - [j166]Yanru Wang, Shifei Ding, Lijuan Wang, Ling Ding:
An improved density-based adaptive p-spectral clustering algorithm. Int. J. Mach. Learn. Cybern. 12(6): 1571-1582 (2021) - [j165]Zhengfan Chen, Shifei Ding, Haiwei Hou:
A novel self-attention deep subspace clustering. Int. J. Mach. Learn. Cybern. 12(8): 2377-2387 (2021) - [j164]Wei Du, Shifei Ding, Chenglong Zhang, Shuying Du:
Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning. Int. J. Mach. Learn. Cybern. 12(10): 2947-2961 (2021) - [j163]Tongfeng Sun, Shifei Ding, Xinzheng Xu:
An iterative stacked weighted auto-encoder. Soft Comput. 25(6): 4833-4843 (2021) - [j162]Yuting Sun, Shifei Ding, Zichen Zhang, Weikuan Jia:
An improved grid search algorithm to optimize SVR for prediction. Soft Comput. 25(7): 5633-5644 (2021) - [j161]Tongfeng Sun, Shifei Ding, Wei Chen:
Blind video quality assessment based on multilevel video perception. Signal Process. Image Commun. 99: 116485 (2021) - 2020
- [j160]Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia:
Adversarial Training Methods for Boltzmann Machines. IEEE Access 8: 4594-4604 (2020) - [j159]Lijuan Wang, Shifei Ding:
Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning. IEEE Access 8: 198679-198690 (2020) - [j158]Songhui Shi, Shifei Ding, Zichen Zhang, Weikuan Jia:
Energy-based structural least squares MBSVM for classification. Appl. Intell. 50(3): 681-697 (2020) - [j157]Shifei Ding, Yuting Sun, Yuexuan An, Weikuan Jia:
Multiple birth support vector machine based on recurrent neural networks. Appl. Intell. 50(7): 2280-2292 (2020) - [j156]Shifei Ding, Songhui Shi, Weikuan Jia:
Research on fingerprint classification based on twin support vector machine. IET Image Process. 14(2): 231-235 (2020) - [j155]Tongfeng Sun, Changlong Shao, Hongmei Liao, Shifei Ding, Xinzheng Xu:
Research on adaptive local feature enhancement in convolutional neural networks. IET Image Process. 14(16): 4306-4315 (2020) - [j154]Shifei Ding, Lijuan Wang, Lin Cong:
Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters. IET Image Process. 14(17): 4461-4467 (2020) - [j153]Zichen Zhang, Shifei Ding, Yuting Sun:
A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task. Neurocomputing 410: 185-201 (2020) - [j152]Nan Zhang, Shifei Ding, Tongfeng Sun, Hongmei Liao, Lijuan Wang, Zhongzhi Shi:
Multi-view RBM with posterior consistency and domain adaptation. Inf. Sci. 516: 142-157 (2020) - [j151]Xiao Xu, Shifei Ding, Lijuan Wang, Yanru Wang:
A robust density peaks clustering algorithm with density-sensitive similarity. Knowl. Based Syst. 200: 106028 (2020) - [j150]Jian Zhang, Shifei Ding, Weikuan Jia:
An adversarial non-volume preserving flow model with Boltzmann priors. Int. J. Mach. Learn. Cybern. 11(4): 913-921 (2020) - [j149]Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao:
Robust spike-and-slab deep Boltzmann machines for face denoising. Neural Comput. Appl. 32(7): 2815-2827 (2020) - [j148]Haotian Zhang, Shifei Ding, Weikuan Jia:
Ensemble Adaptation Networks with low-cost unsupervised hyper-parameter search. Pattern Anal. Appl. 23(3): 1215-1224 (2020) - [j147]Xiaoyu Wang, Shifei Ding, Weikuan Jia:
Active constraint spectral clustering based on Hessian matrix. Soft Comput. 24(3): 2381-2390 (2020) - [j146]Yunxin Liu, Shifei Ding, Weikuan Jia:
A novel prediction method of complex univariate time series based on k-means clustering. Soft Comput. 24(21): 16425-16437 (2020) - [c32]Changlong Shao, Shifei Ding:
Link-Based Cluster Ensemble Method for Improved Meta-clustering Algorithm. Intelligent Information Processing 2020: 14-25
2010 – 2019
- 2019
- [j145]Lijuan Wang, Shifei Ding, Hongjie Jia:
An Improvement of Spectral Clustering via Message Passing and Density Sensitive Similarity. IEEE Access 7: 101054-101062 (2019) - [j144]Tongfeng Sun, Shifei Ding, Pin Li, Wei Chen:
A comparative study of neural-network feature weighting. Artif. Intell. Rev. 52(1): 469-493 (2019) - [j143]Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue:
A review on multi-class TWSVM. Artif. Intell. Rev. 52(2): 775-801 (2019) - [j142]Kai Zeng, Shifei Ding, Weikuan Jia:
Single image super-resolution using a polymorphic parallel CNN. Appl. Intell. 49(1): 292-300 (2019) - [j141]Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia:
Applications of asynchronous deep reinforcement learning based on dynamic updating weights. Appl. Intell. 49(2): 581-591 (2019) - [j140]Nan Zhang, Shifei Ding, Hongmei Liao, Weikuan Jia:
Multimodal correlation deep belief networks for multi-view classification. Appl. Intell. 49(5): 1925-1936 (2019) - [j139]Shifei Ding, Wei Du, Xingyu Zhao, Lijuan Wang, Weikuan Jia:
A new asynchronous reinforcement learning algorithm based on improved parallel PSO. Appl. Intell. 49(12): 4211-4222 (2019) - [j138]Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia:
An effective asynchronous framework for small scale reinforcement learning problems. Appl. Intell. 49(12): 4303-4318 (2019) - [j137]Yue Qin, Shifei Ding, Lijuan Wang, Yanru Wang:
Research Progress on Semi-Supervised Clustering. Cogn. Comput. 11(5): 599-612 (2019) - [j136]Zichen Zhang, Shifei Ding, Weikuan Jia:
A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems. Eng. Appl. Artif. Intell. 85: 254-268 (2019) - [j135]Yanru Wang, Shifei Ding, Xiao Xu, Weikuan Jia:
The multi-tag semantic correlation used for micro-blog user interest modeling. Eng. Appl. Artif. Intell. 85: 765-772 (2019) - [j134]Shi-Fei Ding, Yuexuan An:
Multiple Birth Support Vector Machine with Triplet Loss Function. J. Inf. Sci. Eng. 35(6): 1365-1376 (2019) - [j133]Wei Du, Shifei Ding:
多智能体强化学习综述 (Overview on Multi-agent Reinforcement Learning). 计算机科学 46(8): 1-8 (2019) - [j132]Yue Qin, Shifei Ding:
半监督聚类综述 (Survey of Semi-supervised Clustering). 计算机科学 46(9): 15-21 (2019) - [j131]Mingjing Du, Shifei Ding, Yu Xue, Zhongzhi Shi:
A novel density peaks clustering with sensitivity of local density and density-adaptive metric. Knowl. Inf. Syst. 59(2): 285-309 (2019) - [j130]Shifei Ding, Lin Cong, Qiankun Hu, Hongjie Jia, Zhongzhi Shi:
A multiway p-spectral clustering algorithm. Knowl. Based Syst. 164: 371-377 (2019) - [j129]Xiao Xu, Shifei Ding, Hui Xu, Hongmei Liao, Yu Xue:
A feasible density peaks clustering algorithm with a merging strategy. Soft Comput. 23(13): 5171-5183 (2019) - [j128]Shifei Ding, Peng Du, Xingyu Zhao, Qiangbo Zhu, Yu Xue:
BEMD image fusion based on PCNN and compressed sensing. Soft Comput. 23(20): 10045-10054 (2019) - [j127]Xiaopeng Hua, Sen Xu, Jun Gao, Shifei Ding:
L1-norm loss-based projection twin support vector machine for binary classification. Soft Comput. 23(21): 10649-10659 (2019) - 2018
- [j126]Hui Li, Xuesong Wang, Shifei Ding:
Research and development of neural network ensembles: a survey. Artif. Intell. Rev. 49(4): 455-479 (2018) - [j125]Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia:
Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. Appl. Intell. 48(12): 4889-4904 (2018) - [j124]Tongfeng Sun, Shifei Ding, Xinzheng Xu:
An image response framework for no-reference image quality assessment. Comput. Electr. Eng. 70: 764-776 (2018) - [j123]Dong Shan, Xinzheng Xu, Tianming Liang, Shifei Ding:
Rank-Adaptive Non-Negative Matrix Factorization. Cogn. Comput. 10(3): 506-515 (2018) - [j122]Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue:
NSCT-PCNN image fusion based on image gradient motivation. IET Comput. Vis. 12(4): 377-383 (2018) - [j121]Weixin Bian, Shifei Ding, Weikuan Jia:
Collaborative filtering model for enhancing fingerprint image. IET Image Process. 12(1): 149-157 (2018) - [j120]Lin Cong, Shifei Ding, Lijuan Wang, Aijuan Zhang, Weikuan Jia:
Image segmentation algorithm based on superpixel clustering. IET Image Process. 12(11): 2030-2035 (2018) - [j119]Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue:
An overview on Restricted Boltzmann Machines. Neurocomputing 275: 1186-1199 (2018) - [j118]Jian Zhang, Shifei Ding, Nan Zhang:
An overview on probability undirected graphs and their applications in image processing. Neurocomputing 321: 156-168 (2018) - [j117]Shifei Ding, Hongjie Jia, Mingjing Du, Yu Xue:
A semi-supervised approximate spectral clustering algorithm based on HMRF model. Inf. Sci. 429: 215-228 (2018) - [j116]Xingyu Zhao, Shifei Ding:
深度强化学习研究综述 (Research on Deep Reinforcement Learning). 计算机科学 45(7): 1-6 (2018) - [j115]Yuexuan An, Shifei Ding, Jipu Hu:
孪生支持向量机综述 (Twin Support Vector Machine: A Review). 计算机科学 45(11): 29-36 (2018) - [j114]Xiao Xu, Shifei Ding, Zhongzhi Shi:
An improved density peaks clustering algorithm with fast finding cluster centers. Knowl. Based Syst. 158: 65-74 (2018) - [j113]Xiao Xu, Shifei Ding, Mingjing Du, Yu Xue:
DPCG: an efficient density peaks clustering algorithm based on grid. Int. J. Mach. Learn. Cybern. 9(5): 743-754 (2018) - [j112]Mingjing Du, Shifei Ding, Yu Xue:
A robust density peaks clustering algorithm using fuzzy neighborhood. Int. J. Mach. Learn. Cybern. 9(7): 1131-1140 (2018) - [j111]Weixin Bian, Shifei Ding, Yu Xue:
An improved fingerprint orientation field extraction method based on quality grading scheme. Int. J. Mach. Learn. Cybern. 9(8): 1249-1260 (2018) - [j110]Mingjing Du, Shifei Ding, Xiao Xu, Yu Xue:
Density peaks clustering using geodesic distances. Int. J. Mach. Learn. Cybern. 9(8): 1335-1349 (2018) - [j109]Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang:
Research of stacked denoising sparse autoencoder. Neural Comput. Appl. 30(7): 2083-2100 (2018) - [j108]Yuexuan An, Shifei Ding, Songhui Shi, Jingcan Li:
Discrete space reinforcement learning algorithm based on support vector machine classification. Pattern Recognit. Lett. 111: 30-35 (2018) - [j107]Shuyan Fan, Shifei Ding, Yu Xue:
Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm. Soft Comput. 22(3): 861-872 (2018) - [j106]Shifei Ding, Xiao Xu, Shuyan Fan, Yu Xue:
Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors. Soft Comput. 22(14): 4573-4583 (2018) - [c31]Xiao Xu, Shifei Ding, Tongfeng Sun:
A Fast Density Peaks Clustering Algorithm Based on Pre-Screening. BigComp 2018: 513-516 - [c30]Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding:
A K-AP Clustering Algorithm Based on Manifold Similarity Measure. Intelligent Information Processing 2018: 20-29 - [c29]Shifei Ding, Nan Zhang, Jian Zhang:
Multi-view Restricted Boltzmann Machines with Posterior Consistency. Intelligent Information Processing 2018: 30-39 - 2017
- [j105]Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue:
Research on Point-wise Gated Deep Networks. Appl. Soft Comput. 52: 1210-1221 (2017) - [j104]Shifei Ding, Lingheng Meng, Youzhen Han, Yu Xue:
A Review on Feature Binding Theory and Its Functions Observed in Perceptual Process. Cogn. Comput. 9(2): 194-206 (2017) - [j103]Weixin Bian, Shifei Ding, Yu Xue:
Fingerprint image super resolution using sparse representation with ridge pattern prior by classification coupled dictionaries. IET Biom. 6(5): 342-350 (2017) - [j102]Shifei Ding, Weixin Bian, Hongmei Liao, Tongfeng Sun, Yu Xue:
Combining Gabor filtering and classification dictionaries learning for fingerprint enhancement. IET Biom. 6(6): 438-447 (2017) - [j101]Xiekai Zhang, Shifei Ding, Yu Xue:
An improved multiple birth support vector machine for pattern classification. Neurocomputing 225: 119-128 (2017) - [j100]Shifei Ding, Yuexuan An, Xiekai Zhang, Fulin Wu, Yu Xue:
Wavelet twin support vector machines based on glowworm swarm optimization. Neurocomputing 225: 157-163 (2017) - [j99]Maxin Wang, Xinzheng Xu, Guanying Wang, Shifei Ding, Tongfeng Sun:
Medical images segmentation based on improved three-dimensional pulse coupled neural network. Int. J. Wirel. Mob. Comput. 13(1): 72-77 (2017) - [j98]Weixin Bian, Shifei Ding, Yu Xue:
Combining weighted linear project analysis with orientation diffusion for fingerprint orientation field reconstruction. Inf. Sci. 396: 55-71 (2017) - [j97]Shifei Ding, Weixin Bian, Tongfeng Sun, Yu Xue:
Fingerprint enhancement rooted in the spectra diffusion by the aid of the 2D adaptive Chebyshev band-pass filter with orientation-selective. Inf. Sci. 415: 233-246 (2017) - [j96]Shifei Ding, Mingjing Du, Tongfeng Sun, Xiao Xu, Yu Xue:
An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood. Knowl. Based Syst. 133: 294-313 (2017) - [j95]Nan Zhang, Shifei Ding:
Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data. Memetic Comput. 9(2): 129-139 (2017) - [j94]Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi:
Unsupervised extreme learning machine with representational features. Int. J. Mach. Learn. Cybern. 8(2): 587-595 (2017) - [j93]Lingheng Meng, Shifei Ding, Yu Xue:
Research on denoising sparse autoencoder. Int. J. Mach. Learn. Cybern. 8(5): 1719-1729 (2017) - [j92]Shifei Ding, Zhibin Zhu, Xiekai Zhang:
An overview on semi-supervised support vector machine. Neural Comput. Appl. 28(5): 969-978 (2017) - [j91]Shifei Ding, Lili Guo, Yanlu Hou:
Extreme learning machine with kernel model based on deep learning. Neural Comput. Appl. 28(8): 1975-1984 (2017) - [j90]Shifei Ding, Nan Zhang, Xiekai Zhang, Fulin Wu:
Twin support vector machine: theory, algorithm and applications. Neural Comput. Appl. 28(11): 3119-3130 (2017) - [j89]Xinzheng Xu, Guanying Wang, Shifei Ding, Yuhu Cheng, Xuesong Wang:
Pulse-coupled neural networks and parameter optimization methods. Neural Comput. Appl. 28(S-1): 671-681 (2017) - [j88]Shifei Ding, Xiekai Zhang, Yuexuan An, Yu Xue:
Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification. Pattern Recognit. 67: 32-46 (2017) - [j87]Mingjing Du, Shifei Ding, Yu Xue:
A novel density peaks clustering algorithm for mixed data. Pattern Recognit. Lett. 97: 46-53 (2017) - [j86]Hongjie Jia, Shifei Ding, Mingjing Du:
A Nyström spectral clustering algorithm based on probability incremental sampling. Soft Comput. 21(19): 5815-5827 (2017) - [c28]Mingjing Du, Shifei Ding:
L-DP: A Hybrid Density Peaks Clustering Method. DMBD 2017: 74-80 - 2016
- [j85]Nan Zhang, Shifei Ding, Jian Zhang:
Multi layer ELM-RBF for multi-label learning. Appl. Soft Comput. 43: 535-545 (2016) - [j84]Tongfeng Sun, Shifei Ding, Wei Chen, Xinzheng Xu:
No-reference image quality assessment based on gradient histogram response. Comput. Electr. Eng. 54: 330-344 (2016) - [j83]Shifei Ding, Jian Zhang, Hongjie Jia, Jun Qian:
An Adaptive Density Data Stream Clustering Algorithm. Cogn. Comput. 8(1): 30-38 (2016) - [j82]Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang:
Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering. Cogn. Comput. 8(4): 720-728 (2016) - [j81]Jian Zhang, Shifei Ding, Nan Zhang, Yu Xue:
Weight Uncertainty in Boltzmann Machine. Cogn. Comput. 8(6): 1064-1073 (2016) - [j80]Nan Zhang, Shifei Ding, Zhongzhi Shi:
Denoising Laplacian multi-layer extreme learning machine. Neurocomputing 171: 1066-1074 (2016) - [j79]Hui Li, Xuesong Wang, Shifei Ding:
Research of multi-sided multi-granular neural network ensemble optimization method. Neurocomputing 197: 78-85 (2016) - [j78]Shifei Ding, Zhongzhi Shi, Dacheng Tao, Bo An:
Recent advances in Support Vector Machines. Neurocomputing 211: 1-3 (2016) - [j77]Hongjie Jia, Shifei Ding, Mingjing Du, Yu Xue:
Approximate normalized cuts without Eigen-decomposition. Inf. Sci. 374: 135-150 (2016) - [j76]Hong Zhu, Shifei Ding:
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 43(2): 95-97 (2016) - [j75]Xiekai Zhang, Shifei Ding:
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 43(3): 49-53 (2016) - [j74]Mingjing Du, Shifei Ding, Hongjie Jia:
Study on density peaks clustering based on k-nearest neighbors and principal component analysis. Knowl. Based Syst. 99: 135-145 (2016) - [j73]Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi:
Incremental extreme learning machine based on deep feature embedded. Int. J. Mach. Learn. Cybern. 7(1): 111-120 (2016) - [j72]Shifei Ding, Xiekai Zhang, Junzhao Yu:
Twin support vector machines based on fruit fly optimization algorithm. Int. J. Mach. Learn. Cybern. 7(2): 193-203 (2016) - [j71]Xiekai Zhang, Shifei Ding, Tongfeng Sun:
Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm. Int. J. Mach. Learn. Cybern. 7(2): 241-251 (2016) - [j70]Shifei Ding, Jian Zhang, Xinzheng Xu, Yanan Zhang:
A wavelet extreme learning machine. Neural Comput. Appl. 27(4): 1033-1040 (2016) - [j69]Hongmei Liao, Shifei Ding, Miaomiao Wang, Gang Ma:
An overview on rough neural networks. Neural Comput. Appl. 27(7): 1805-1816 (2016) - [j68]Guanying Wang, Xinzheng Xu, Xiangying Jiang, Shifei Ding:
Medical image registration based on self-adapting pulse-coupled neural networks and mutual information. Neural Comput. Appl. 27(7): 1917-1926 (2016) - [c27]Lin Xiao, Jia Meng, Shifei Ding, Li Zou:
A resolution method for linguistic truth-valued intuitionistic fuzzy first-order logic. FUZZ-IEEE 2016: 904-906 - [c26]Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu:
A Novel Locally Multiple Kernel k-means Based on Similarity. Intelligent Information Processing 2016: 22-30 - [c25]Shifei Ding, Hongjie Jia, Mingjing Du, Qiankun Hu:
p-Spectral Clustering Based on Neighborhood Attribute Granulation. Intelligent Information Processing 2016: 50-58 - [c24]Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou:
Boltzmann Machine and its Applications in Image Recognition. Intelligent Information Processing 2016: 108-118 - [c23]Shifei Ding, Xiekai Zhang:
Granular multiple birth support vector machine based on weighted linear loss. IJCNN 2016: 2453-2459 - 2015
- [j67]Shifei Ding, Huajuan Huang, Junzhao Yu, Han Zhao:
Research on the hybrid models of granular computing and support vector machine. Artif. Intell. Rev. 43(4): 565-577 (2015) - [j66]Shifei Ding, Fulin Wu, Jun Qian, Hongjie Jia, Fengxiang Jin:
Research on data stream clustering algorithms. Artif. Intell. Rev. 43(4): 593-600 (2015) - [j65]Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie:
Extreme learning machine: algorithm, theory and applications. Artif. Intell. Rev. 44(1): 103-115 (2015) - [j64]Weikuan Jia, Dean Zhao, Tian Shen, Shifei Ding, Yuyan Zhao, Chanli Hu:
An optimized classification algorithm by BP neural network based on PLS and HCA. Appl. Intell. 43(1): 176-191 (2015) - [j63]Hongjie Jia, Shifei Ding, Mingjing Du:
Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors. Cogn. Comput. 7(5): 622-632 (2015) - [j62]Jian Ni, Xinzheng Xu, Shifei Ding, Tongfeng Sun:
An adaptive extreme learning machine algorithm and its application on face recognition. Int. J. Comput. Sci. Math. 6(6): 611-619 (2015) - [j61]Hongmei Liao, Shifei Ding:
Mixed and Continuous Strategy Monitor-Forward Game Based Selective Forwarding Solution in WSN. Int. J. Distributed Sens. Networks 11: 359780:1-359780:13 (2015) - [j60]Shifei Ding, Hui Li:
Twice clustering based individual neural network generation method. Neurocomputing 157: 264-272 (2015) - [j59]Xiaopeng Hua, Shifei Ding:
Weighted least squares projection twin support vector machines with local information. Neurocomputing 160: 228-237 (2015) - [j58]Hui Li, Shifei Ding:
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 42(2): 224-227 (2015) - [j57]Lili Guo, Shifei Ding:
深度学习研究进展 (Research Progress on Deep Learning). 计算机科学 42(5): 28-33 (2015) - [j56]Xinzheng Xu, Guanying Wang, Shifei Ding, Xiangying Jiang, Zuopeng Zhao:
A new method for constructing granular neural networks based on rule extraction and extreme learning machine. Pattern Recognit. Lett. 67: 138-144 (2015) - 2014
- [j55]Shifei Ding, Hongjie Jia, Jinrong Chen, Fengxiang Jin:
Granular neural networks. Artif. Intell. Rev. 41(3): 373-384 (2014) - [j54]Shifei Ding, Junzhao Yu, Bingjuan Qi, Huajuan Huang:
An overview on twin support vector machines. Artif. Intell. Rev. 42(2): 245-252 (2014) - [j53]Shifei Ding, Zhongzhi Shi:
Track on Intelligent Computing and Applications: Selected papers from the 2012 International Workshop on Information, Intelligence and Computing (IWIIC 2012). Neurocomputing 130: 1-2 (2014) - [j52]Shifei Ding, Xiaopeng Hua:
Recursive least squares projection twin support vector machines for nonlinear classification. Neurocomputing 130: 3-9 (2014) - [j51]Fulin Wu, Shifei Ding, Huajuan Huang, Zhibin Zhu:
Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm. J. Comput. 9(4): 947-955 (2014) - [j50]Shifei Ding, Huajuan Huang, Junzhao Yu, Fulin Wu:
Polynomial Smooth Twin Support Vector Machines Based on Invasive Weed Optimization Algorithm. J. Comput. 9(5): 1226-1233 (2014) - [j49]Hongjie Jia, Shifei Ding, Heng Ma, Wanqiu Xing:
Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy. J. Comput. 9(6): 1316-1324 (2014) - [j48]Fulin Wu, Shifei Ding:
Twin Support Vector Machines Based on the Mixed Kernel function. J. Comput. 9(7): 1690-1696 (2014) - [j47]Tongfeng Sun, Shifei Ding, Wei Chen:
Reduced-reference image quality assessment through SIFT intensity ratio. Int. J. Mach. Learn. Cybern. 5(6): 923-931 (2014) - [j46]Shifei Ding, Hongjie Jia, Liwen Zhang, Fengxiang Jin:
Research of semi-supervised spectral clustering algorithm based on pairwise constraints. Neural Comput. Appl. 24(1): 211-219 (2014) - [j45]Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie:
The latest research progress on spectral clustering. Neural Comput. Appl. 24(7-8): 1477-1486 (2014) - [j44]Shifei Ding, Gang Ma, Zhongzhi Shi:
A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network. Neural Comput. Appl. 24(7-8): 1487-1495 (2014) - [j43]Shifei Ding, Xinzheng Xu, Ru Nie:
Extreme learning machine and its applications. Neural Comput. Appl. 25(3-4): 549-556 (2014) - [j42]Shifei Ding, Xiaopeng Hua, Junzhao Yu:
An overview on nonparallel hyperplane support vector machine algorithms. Neural Comput. Appl. 25(5): 975-982 (2014) - [j41]Shifei Ding, Fulin Wu, Zhongzhi Shi:
Wavelet twin support vector machine. Neural Comput. Appl. 25(6): 1241-1247 (2014) - [j40]Hongjie Jia, Shifei Ding, Lingheng Meng, Shuyan Fan:
A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction. Neural Comput. Appl. 25(7-8): 1557-1567 (2014) - [j39]Shifei Ding, Gang Ma, Zhongzhi Shi:
A Rough RBF Neural Network Based on Weighted Regularized Extreme Learning Machine. Neural Process. Lett. 40(3): 245-260 (2014) - [c22]Youzhen Han, Shifei Ding:
Research and Application Analysis of Feature Binding Mechanism. Intelligent Information Processing 2014: 133-140 - 2013
- [j38]Shifei Ding, Hui Li, Chunyang Su, Junzhao Yu, Fengxiang Jin:
Evolutionary artificial neural networks: a review. Artif. Intell. Rev. 39(3): 251-260 (2013) - [j37]Hong Zhu, Shifei Ding, Xinzheng Xu, Li Xu:
A parallel attribute reduction algorithm based on Affinity Propagation clustering. J. Comput. 8(4): 990-997 (2013) - [j36]Yanan Zhang, Shifei Ding, Xinzheng Xu, Han Zhao, Wanqiu Xing:
An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets. J. Comput. 8(5): 1335-1342 (2013) - [j35]Huajuan Huang, Shifei Ding, Hong Zhu, Xinzheng Xu:
Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines. J. Comput. 8(8): 2077-2084 (2013) - [j34]Shifei Ding, Yanan Zhang, Xinzheng Xu, Lina Bao:
A Novel Extreme Learning Machine Based on Hybrid Kernel Function. J. Comput. 8(8): 2110-2117 (2013) - [j33]Shifei Ding, Junzhao Yu, Huajuan Huang, Han Zhao:
Twin Support Vector Machines Based on Particle Swarm Optimization. J. Comput. 8(9): 2296-2303 (2013) - [j32]Hong Zhu, Shifei Ding, Han Zhao, Lina Bao:
Attribute Granulation Based on Attribute Discernibility and AP Algorithm. J. Softw. 8(4): 834-841 (2013) - [j31]Hongjie Jia, Shifei Ding, Hong Zhu, Fulin Wu, Lina Bao:
A Feature Weighted Spectral Clustering Algorithm Based on Knowledge Entropy. J. Softw. 8(5): 1101-1108 (2013) - [j30]Tongfeng Sun, Shifei Ding, Zihui Ren:
Novel Image Recognition Based on Subspace and SIFT. J. Softw. 8(5): 1109-1116 (2013) - [j29]Shifei Ding, Fulin Wu, Ru Nie, Junzhao Yu, Huajuan Huang:
Twin Support Vector Machines Based on Quantum Particle Swarm Optimization. J. Softw. 8(7): 1743-1750 (2013) - [j28]Huajuan Huang, Shi-Fei Ding, Zhong-Zhi Shi:
Primal least squares twin support vector regression. J. Zhejiang Univ. Sci. C 14(9): 722-732 (2013) - [j27]Xinzheng Xu, Shifei Ding, Weikuan Jia, Gang Ma, Fengxiang Jin:
Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS). Neural Comput. Appl. 22(1): 187-193 (2013) - [j26]Shifei Ding, Bingjuan Qi, Hongjie Jia, Hong Zhu, Liwen Zhang:
Research of semi-supervised spectral clustering based on constraints expansion. Neural Comput. Appl. 22(Supplement-1): 405-410 (2013) - [j25]Shifei Ding, Yanan Zhang, Jinrong Chen, Weikuan Jia:
Research on using genetic algorithms to optimize Elman neural networks. Neural Comput. Appl. 23(2): 293-297 (2013) - [j24]Shifei Ding, Youzhen Han, Junzhao Yu, Yaxiang Gu:
A fast fuzzy support vector machine based on information granulation. Neural Comput. Appl. 23(Supplement-1): 139-144 (2013) - [c21]Shifei Ding, Huajuan Huang, Ru Nie:
Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression. ICIC (1) 2013: 96-105 - 2012
- [j23]Shifei Ding, Hong Zhu, Weikuan Jia, Chunyang Su:
A survey on feature extraction for pattern recognition. Artif. Intell. Rev. 37(3): 169-180 (2012) - [j22]Shifei Ding, Bingjuan Qi:
Research of granular support vector machine. Artif. Intell. Rev. 38(1): 1-7 (2012) - [j21]Shifei Ding:
Guest Editorial. J. Comput. 7(10): 2351-2353 (2012) - [j20]Shifei Ding, Zhengtao Yu:
Guest Editorial. J. Comput. 7(12): 2851-2852 (2012) - [j19]Shifei Ding:
Guest Editorial. J. Networks 7(7): 1007-1008 (2012) - [j18]Shifei Ding:
Guest Editorial. J. Softw. 7(9): 1923-1924 (2012) - [j17]Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu:
Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm. J. Zhejiang Univ. Sci. C 13(2): 131-138 (2012) - [j16]Shifei Ding, Li Xu, Chunyang Su, Fengxiang Jin:
An optimizing method of RBF neural network based on genetic algorithm. Neural Comput. Appl. 21(2): 333-336 (2012) - 2011
- [j15]Shifei Ding, Chunyang Su, Junzhao Yu:
An optimizing BP neural network algorithm based on genetic algorithm. Artif. Intell. Rev. 36(2): 153-162 (2011) - [j14]Shifei Ding, Xinzheng Xu, Hong Zhu, Jian Wang, Fengxiang Jin:
Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA). J. Comput. 6(5): 939-946 (2011) - [j13]Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao:
Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network. J. Comput. 6(8): 1546-1553 (2011) - [j12]Feng Gao, Tokuro Matsuo, Junhu Zhang, Shifei Ding:
Guest Editorial. J. Softw. 6(7): 1163-1165 (2011) - [j11]Xiaopeng Hua, Shifei Ding:
Incremental Learning Algorithm for Support Vector Data Description. J. Softw. 6(7): 1166-1173 (2011) - [j10]Shifei Ding, Weikuan Jia, Chunyang Su, Liwen Zhang, Lili Liu:
Research of neural network algorithm based on factor analysis and cluster analysis. Neural Comput. Appl. 20(2): 297-302 (2011) - [c20]Tongfeng Sun, Zihui Ren, Shifei Ding:
Region-based semi-supervised clustering image segmentation. ICNC 2011: 1855-1858 - 2010
- [j9]Shifei Ding, Weikuan Jia, Chunyang Su, Xiaoliang Liu, Jinrong Chen:
An Improved BP Neural Network Algorithm Based on Factor Analysis. J. Convergence Inf. Technol. 5(4): 103-108 (2010) - [j8]Shifei Ding, Li Xu, Chunyang Su, Hong Zhu:
Using Genetic Algorithms to Optimize Artificial Neural Networks. J. Convergence Inf. Technol. 5(8): 54-62 (2010) - [j7]Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang:
Research and Progress of Cluster Algorithms based on Granular Computing. J. Digit. Content Technol. its Appl. 4(5): 96-104 (2010) - [j6]Feng Gao, Bin Wang, Deyun Yang, Junhu Zhang, Shifei Ding:
Guest Editorial. J. Networks 5(10): 1115-1117 (2010) - [j5]Feng Gao, Bin Wang, Deyun Yang, Junhu Zhang, Shifei Ding:
Guest Editorial. J. Softw. 5(10): 1049-1051 (2010) - [c19]Shifei Ding, Weikuan Jia, Xinzheng Xu, Hong Zhu:
Neural Networks Algorithm Based on Factor Analysis. ISNN (1) 2010: 319-324
2000 – 2009
- 2009
- [j4]Shifei Ding, Yongping Zhang, Xiaofeng Lei, Xinzheng Xu, Xin Wang, Li Wang, Qing He:
Research on a principal components decision algorithm based on information entropy. J. Inf. Sci. 35(1): 120-127 (2009) - 2008
- [c18]Shifei Ding, Fengxiang Jin:
A Novel Fuzzy Likelihood Measure Algorithm. CSSE (1) 2008: 945-948 - [c17]Shifei Ding, Fengxiang Jin, Xiaofeng Lei, Zhongzhi Shi:
A Supervised Feature Extraction Algorithm for Multi-class. FAW 2008: 323-329 - [c16]Fengxiang Jin, Shifei Ding:
A Supervised PLS Information Recognition Algorithm. ICIC (1) 2008: 315-320 - [c15]Chunyang Su, Shifei Ding, Weikuan Jia, Xin Wang, Xinzheng Xu:
Some Progress of Supervised Learning. ICIC (2) 2008: 661-666 - [c14]Shifei Ding, Weikuan Jia, Chunyang Su, Fengxiang Jin, Zhongzhi Shi:
A Survey on Statistical Pattern Feature Extraction. ICIC (2) 2008: 701-708 - [c13]Fengxiang Jin, Shifei Ding:
An improved PCA algorithm based on WIF. IJCNN 2008: 1576-1578 - [c12]Shifei Ding, Weikuan Jia, Chunyang Su, Xinzheng Xu, Liwen Zhang:
PCA-Based Elman Neural Network Algorithm. ISICA 2008: 315-321 - [c11]Shifei Ding, Weikuan Jia, Chunyang Su, Liwen Zhang, Zhongzhi Shi:
Neural Network Research Progress and Applications in Forecast. ISNN (2) 2008: 783-793 - [c10]Lei Zhang, Shixiong Xia, Shifei Ding, Yong Zhou, Qiulin Ding:
User Knowledge Requirement Model and its Hybrid Evolution Algorithm. ITNG 2008: 817-822 - 2007
- [j3]Shi-Fei Ding, Shixiong Xia, Fengxiang Jin, Zhong-Zhi Shi:
Novel fuzzy information proximity measures. J. Inf. Sci. 33(6): 678-685 (2007) - [c9]Shifei Ding, Zhongzhi Shi, Shixiong Xia, Fengxiang Jin:
Studies on Fuzzy Information Measures. FSKD (3) 2007: 376-380 - [c8]Maoguang Wang, Zhongzhi Shi, Shifei Ding:
Hierarchical Policy for Agent Grid Collaboration. GCC 2007: 236-241 - [c7]Maoguang Wang, Zhongzhi Shi, Shixiong Xia, Shifei Ding:
Agent Grid Collaborative Schema Based on Policy. ICIC (3) 2007: 469-478 - [c6]Shifei Ding, Wei Ning, Fengxiang Jin, Shixiong Xia, Zhongzhi Shi:
Supervised Information Feature Compression Algorithm Based on Divergence Criterion. ICIC (2) 2007: 919-925 - [c5]Shifei Ding, Wei Ning, Zhongzhi Shi:
Diversity Analysis of Information Pattern and Information Clustering Algorithm. ISICA 2007: 428-434 - 2006
- [j2]Shifei Ding, Zhongzhi Shi:
Supervised feature extraction algorithm based on improved polynomial entropy. J. Inf. Sci. 32(4): 309-315 (2006) - [c4]Shifei Ding, Zhongzhi Shi, Fengxiang Jin:
Studies on Fuzzy Information Measures. IEEE ICCI 2006: 292-296 - [c3]Shi-Fei Ding, Zhong-Zhi Shi:
A Novel Supervised Information Feature Compression Algorithm. International Conference on Computational Science (1) 2006: 777-780 - [c2]Shifei Ding, Zhongzhi Shi, Fengxiang Jin:
Supervised Feature Extraction Algorithm Based on Continuous Divergence Criterion. ICIC (2) 2006: 268-277 - [c1]Shi-Fei Ding, Zhong-Zhi Shi:
Divergence-Based Supervised Information Feature Compression Algorithm. ISNN (1) 2006: 1421-1426 - 2005
- [j1]Shi-Fei Ding, Zhong-Zhi Shi:
Studies on incidence pattern recognition based on information entropy. J. Inf. Sci. 31(6): 497-502 (2005)
Coauthor Index
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