Shifei Ding

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 171

Top Venues

Int. J. Mach. Learn. Cybern.

Appl. Intell.

Neural Comput. Appl.

Soft Comput.

Publications

Ling Ding, Chao Li, Di Jin, Shifei Ding
Survey of spectral clustering based on graph theory. Pattern Recognit. 151 (2024)
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) (2024)
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) (2024)
Zhizheng Liang, Shifei Ding
Fuzzy Twin Support Vector Machines With Distribution Inputs. IEEE Trans. Fuzzy Syst. 32 (1) (2024)
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) (2024)
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 (2024)
Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. AAAI (2024)
Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding
Expressive Multi-Agent Communication via Identity-Aware Learning. AAAI (2024)
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) (2024)
Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
Synergistic Deep Graph Clustering Network. CoRR (2024)
Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo
Deep Friendly Embedding Space for Clustering. Intelligent Information Processing (1) (2024)
Lili Guo, Jianglan Zhu, Chenglong Zhang, Shifei Ding
Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems. IEEE Trans. Fuzzy Syst. 32 (8) (2024)
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 (2024)
Lili Guo, Yikang Song, Shifei Ding
Speaker-aware cognitive network with cross-modal attention for multimodal emotion recognition in conversation. Knowl. Based Syst. 296 (2024)
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 (2023)
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 (2023)
Shifei Ding, Benyu Wu, Xiao Xu, Lili Guo, Ling Ding
Graph clustering network with structure embedding enhanced. Pattern Recognit. 144 (2023)
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 (2023)
Xiao Xu, Haiwei Hou, Shifei Ding
Semi-supervised deep density clustering. Appl. Soft Comput. 148 (2023)
Wei Du, Shifei Ding
Heterogeneous Multi-Agent Communication Learning via Graph Information Maximization. SEKE (2023)
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) (2023)
Xiao Xu, Qidong Wang, Lili Guo, Jian Zhang, Shifei Ding
FEMRNet: Feature-enhanced multi-scale residual network for image denoising. Appl. Intell. 53 (21) (2023)
Wei Du, Shifei Ding, Chenglong Zhang, Zhongzhi Shi
Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Xiangnan Liu, Shifei Ding, Xiao Xu, Lijuan Wang
Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering. Appl. Soft Comput. 132 (2023)
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) (2023)
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 (2023)
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 (2023)
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) (2023)
Qidong Wang, Lili Guo, Shifei Ding, Jian Zhang, Xiao Xu
SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU. ICASSP (2023)
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) (2023)
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) (2023)
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) (2023)
Shifei Ding, Zichen Zhang, Yuting Sun, Songhui Shi
Multiple birth support vector machine based on dynamic quantum particle swarm optimization algorithm. Neurocomputing 480 (2022)
Chenglong Zhang, Shifei Ding, Wei Du
Broad stochastic configuration network for regression. Knowl. Based Syst. 243 (2022)
Tongfeng Sun, Shifei Ding, Lili Guo
Low-degree term first in ResNet, its variants and the whole neural network family. Neural Networks 148 (2022)
Jian Zhang, Shifei Ding, Tongfeng Sun, Lili Guo
A Gaussian RBM with binary auxiliary units. Int. J. Mach. Learn. Cybern. 13 (9) (2022)
Chenglong Zhang, Shifei Ding, Lili Guo, Jian Zhang
Broad learning system based ensemble deep model. Soft Comput. 26 (15) (2022)
Yuting Sun, Shifei Ding, Lili Guo, Zichen Zhang
Hypergraph regularized semi-supervised support vector machine. Inf. Sci. 591 (2022)
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 (2022)
Haiwei Hou, Shifei Ding, Xiao Xu
A deep clustering by multi-level feature fusion. Int. J. Mach. Learn. Cybern. 13 (10) (2022)
Chenglong Zhang, Shifei Ding, Ling Ding
An AdaBoost Based - Deep Stochastic Configuration Network. Intelligent Information Processing (2022)
Yanru Wang, Shifei Ding, Lijuan Wang, Shuying Du
A manifold p-spectral clustering with sparrow search algorithm. Soft Comput. 26 (4) (2022)
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) (2022)
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) (2022)
Guangcong Sun, Shifei Ding, Tongfeng Sun, Chenglong Zhang, Wei Du
A novel dense capsule network based on dense capsule layers. Appl. Intell. 52 (3) (2022)
Chao Li, Shifei Ding, Xiao Xu, Shuying Du, Tianhao Shi
Fast density peaks clustering algorithm in polar coordinate system. Appl. Intell. 52 (12) (2022)
Xinzheng Xu, Jianying Chang, Shifei Ding
Image Style Transfering Based on StarGAN and Class Encoder. Int. J. Softw. Informatics 12 (2) (2022)
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 (2022)
Tongfeng Sun, Shifei Ding, Xinzheng Xu
An iterative stacked weighted auto-encoder. Soft Comput. 25 (6) (2021)
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) (2021)
Chenglong Zhang, Shifei Ding, Jian (Andrew) Zhang, Weikuan Jia
Parallel stochastic configuration networks for large-scale data regression. Appl. Soft Comput. 103 (2021)
Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding
An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition. Expert Syst. Appl. 186 (2021)
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) (2021)
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) (2021)
Li Xu, Shifei Ding
A novel clustering ensemble model based on granular computing. Appl. Intell. 51 (8) (2021)
Wei Du, Shifei Ding
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications. Artif. Intell. Rev. 54 (5) (2021)
Tianhao Shi, Shifei Ding, Xiao Xu, Ling Ding
A community detection algorithm based on Quasi-Laplacian centrality peaks clustering. Appl. Intell. 51 (11) (2021)
Xiao Xu, Shifei Ding, Yanru Wang, Lijuan Wang, Weikuan Jia
A fast density peaks clustering algorithm with sparse search. Inf. Sci. 554 (2021)
Yuru Zhang, Shifei Ding, Yanru Wang, Haiwei Hou
Chameleon algorithm based on improved natural neighbor graph generating sub-clusters. Appl. Intell. 51 (11) (2021)
Yuting Sun, Shifei Ding, Zichen Zhang, Weikuan Jia
An improved grid search algorithm to optimize SVR for prediction. Soft Comput. 25 (7) (2021)
Yuru Zhang, Shifei Ding, Lijuan Wang, Yanru Wang, Ling Ding
Chameleon algorithm based on mutual k-nearest neighbors. Appl. Intell. 51 (4) (2021)
Chenglong Zhang, Shifei Ding, Yuting Sun, Zichen Zhang
An optimized support vector regression for prediction of bearing degradation. Appl. Soft Comput. 113 (Part) (2021)
Yanru Wang, Shifei Ding, Lijuan Wang, Ling Ding
An improved density-based adaptive p-spectral clustering algorithm. Int. J. Mach. Learn. Cybern. 12 (6) (2021)
Tongfeng Sun, Shifei Ding, Wei Chen
Blind video quality assessment based on multilevel video perception. Signal Process. Image Commun. 99 (2021)
Li Xu, Shifei Ding
Dual-granularity weighted ensemble clustering. Knowl. Based Syst. 225 (2021)
Guangcong Sun, Shifei Ding, Tongfeng Sun, Chenglong Zhang
SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network. Neurocomputing 423 (2021)
Zichen Zhang, Shifei Ding, Yuting Sun
MBSVR: Multiple birth support vector regression. Inf. Sci. 552 (2021)
Zhengfan Chen, Shifei Ding, Haiwei Hou
A novel self-attention deep subspace clustering. Int. J. Mach. Learn. Cybern. 12 (8) (2021)
Chenglong Zhang, Shifei Ding
A stochastic configuration network based on chaotic sparrow search algorithm. Knowl. Based Syst. 220 (2021)
Haotian Zhang, Shifei Ding, Weikuan Jia
Ensemble Adaptation Networks with low-cost unsupervised hyper-parameter search. Pattern Anal. Appl. 23 (3) (2020)
Shifei Ding, Songhui Shi, Weikuan Jia
Research on fingerprint classification based on twin support vector machine. IET Image Process. 14 (2) (2020)
Jian Zhang, Shifei Ding, Weikuan Jia
An adversarial non-volume preserving flow model with Boltzmann priors. Int. J. Mach. Learn. Cybern. 11 (4) (2020)
Xiao Xu, Shifei Ding, Lijuan Wang, Yanru Wang
A robust density peaks clustering algorithm with density-sensitive similarity. Knowl. Based Syst. 200 (2020)
Yunxin Liu, Shifei Ding, Weikuan Jia
A novel prediction method of complex univariate time series based on k-means clustering. Soft Comput. 24 (21) (2020)
Shifei Ding, Lijuan Wang, Lin Cong
Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters. IET Image Process. 14 (17) (2020)
Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia
Adversarial Training Methods for Boltzmann Machines. IEEE Access 8 (2020)
Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao
Robust spike-and-slab deep Boltzmann machines for face denoising. Neural Comput. Appl. 32 (7) (2020)
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 (2020)
Changlong Shao, Shifei Ding
Link-Based Cluster Ensemble Method for Improved Meta-clustering Algorithm. Intelligent Information Processing (2020)
Xiaoyu Wang, Shifei Ding, Weikuan Jia
Active constraint spectral clustering based on Hessian matrix. Soft Comput. 24 (3) (2020)
Songhui Shi, Shifei Ding, Zichen Zhang, Weikuan Jia
Energy-based structural least squares MBSVM for classification. Appl. Intell. 50 (3) (2020)
Shifei Ding, Yuting Sun, Yuexuan An, Weikuan Jia
Multiple birth support vector machine based on recurrent neural networks. Appl. Intell. 50 (7) (2020)
Lijuan Wang, Shifei Ding
Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning. IEEE Access 8 (2020)
Nan Zhang, Shifei Ding, Tongfeng Sun, Hongmei Liao, Lijuan Wang, Zhongzhi Shi
Multi-view RBM with posterior consistency and domain adaptation. Inf. Sci. 516 (2020)
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) (2020)
Kai Zeng, Shifei Ding, Weikuan Jia
Single image super-resolution using a polymorphic parallel CNN. Appl. Intell. 49 (1) (2019)
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) (2019)
Shifei Ding, Lin Cong, Qiankun Hu, Hongjie Jia, Zhongzhi Shi
-spectral clustering algorithm. Knowl. Based Syst. 164 (2019)
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) (2019)
Yue Qin, Shifei Ding
半监督聚类综述 (Survey of Semi-supervised Clustering). 计算机科学 46 (9) (2019)
Shifei Ding, Peng Du, Xingyu Zhao, Qiangbo Zhu, Yu Xue
BEMD image fusion based on PCNN and compressed sensing. Soft Comput. 23 (20) (2019)
Yue Qin, Shifei Ding, Lijuan Wang, Yanru Wang
Research Progress on Semi-Supervised Clustering. Cogn. Comput. 11 (5) (2019)
Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia
An effective asynchronous framework for small scale reinforcement learning problems. Appl. Intell. 49 (12) (2019)
Lijuan Wang, Shifei Ding, Hongjie Jia
An Improvement of Spectral Clustering via Message Passing and Density Sensitive Similarity. IEEE Access 7 (2019)
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 (2019)
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 (2019)
Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue
A review on multi-class TWSVM. Artif. Intell. Rev. 52 (2) (2019)
Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia
Applications of asynchronous deep reinforcement learning based on dynamic updating weights. Appl. Intell. 49 (2) (2019)
Xiaopeng Hua, Sen Xu, Jun Gao, Shifei Ding
L1-norm loss-based projection twin support vector machine for binary classification. Soft Comput. 23 (21) (2019)
Xiao Xu, Shifei Ding, Hui Xu, Hongmei Liao, Yu Xue
A feasible density peaks clustering algorithm with a merging strategy. Soft Comput. 23 (13) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shifei Ding