A Novel Locally Multiple Kernel k-means Based on Similarity. - Shuyan Fan; Shifei Ding; Mingjing Du 001; Xiao Xu 006 (IIP, 2016)

An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood. - Shifei Ding; Mingjing Du 001; Tongfeng Sun; Xiao Xu 006; Yu Xue 004 (Knowl. Based Syst., 2017)

A Fast Density Peaks Clustering Algorithm Based on Pre-Screening. - Xiao Xu 006; Shifei Ding; Tongfeng Sun (BigComp, 2018)

An improved density peaks clustering algorithm with fast finding cluster centers. - Xiao Xu 006; Shifei Ding; Zhongzhi Shi (Knowl. Based Syst., 2018)

Density peaks clustering using geodesic distances. - Mingjing Du 001; Shifei Ding; Xiao Xu 006; Yu Xue 004 (Int. J. Mach. Learn. Cybern., 2018)

DPCG: an efficient density peaks clustering algorithm based on grid. - Xiao Xu 006; Shifei Ding; Mingjing Du 001; Yu Xue 004 (Int. J. Mach. Learn. Cybern., 2018)

Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors. - Shifei Ding; Xiao Xu 006; Shuyan Fan; Yu Xue 004 (Soft Comput., 2018)

The multi-tag semantic correlation used for micro-blog user interest modeling. - Yanru Wang; Shifei Ding; Xiao Xu 006; Weikuan Jia (Eng. Appl. Artif. Intell., 2019)

A feasible density peaks clustering algorithm with a merging strategy. - Xiao Xu 006; Shifei Ding; Hui Xu; Hongmei Liao; Yu Xue 004 (Soft Comput., 2019)

A robust density peaks clustering algorithm with density-sensitive similarity. - Xiao Xu 006; Shifei Ding; Lijuan Wang; Yanru Wang (Knowl. Based Syst., 2020)

A community detection algorithm based on Quasi-Laplacian centrality peaks clustering. - Tianhao Shi; Shifei Ding; Xiao Xu 006; Ling Ding 001 (Appl. Intell., 2021)

A fast density peaks clustering algorithm with sparse search. - Xiao Xu 006; Shifei Ding; Yanru Wang; Lijuan Wang; Weikuan Jia (Inf. Sci., 2021)

Fast density peaks clustering algorithm in polar coordinate system. - Chao Li; Shifei Ding; Xiao Xu 006; Shuying Du; Tianhao Shi (Appl. Intell., 2022)

A deep clustering by multi-level feature fusion. - Haiwei Hou; Shifei Ding; Xiao Xu 006 (Int. J. Mach. Learn. Cybern., 2022)

SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU. - Qidong Wang; Lili Guo; Shifei Ding; Jian Zhang 019; Xiao Xu 006 (ICASSP, 2023)

Finding Potential Pneumoconiosis Patients with Commercial Acoustic Device. - Xuehan Zhang; Zhongxu Bao; Yuqing Yin; Xu Yang 011; Xiao Xu 006; Qiang Niu (ISCC, 2023)

LoFall: LoRa-Based Long-Range Through-Wall Fall Detection. - Xuehan Zhang; Zhongxu Bao; Yuqing Yin; Xu Yang 011; Xiao Xu 006; Qiang Niu (ISCC, 2023)

Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering. - Xiangnan Liu; Shifei Ding; Xiao Xu 006; Lijuan Wang (Appl. Soft Comput., 2023)

Density peaks clustering algorithm based on improved similarity and allocation strategy. - Shifei Ding; Wei Du 010; Chao Li; Xiao Xu 006; Lijuan Wang; Ling Ding 001 (Int. J. Mach. Learn. Cybern., 2023)

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data. - Shifei Ding; Chao Li; Xiao Xu 006; Ling Ding 001; Jian Zhang 019; Lili Guo; Tianhao Shi (Pattern Recognit., 2023)

An improved density peaks clustering algorithm based on natural neighbor with a merging strategy. - Shifei Ding; Wei Du 010; Xiao Xu 006; Tianhao Shi; Yanru Wang; Chao Li (Inf. Sci., 2023)

Maximum density minimum redundancy based hypergraph regularized support vector regression. - Shifei Ding; Yuting Sun; Jian Zhang 019; Lili Guo; Xiao Xu 006; Zichen Zhang 002 (Int. J. Mach. Learn. Cybern., 2023)

A novel clustering algorithm based on multi-layer features and graph attention networks. - Haiwei Hou; Shifei Ding; Xiao Xu 006; Ling Ding 001 (Soft Comput., 2023)

FEMRNet: Feature-enhanced multi-scale residual network for image denoising. - Xiao Xu 006; Qidong Wang; Lili Guo; Jian Zhang 019; Shifei Ding (Appl. Intell., 2023)

Semi-supervised deep density clustering. - Xiao Xu 006; Haiwei Hou; Shifei Ding (Appl. Soft Comput., 2023)

Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging. - Chao Li; Shifei Ding; Xiao Xu 006; Haiwei Hou; Ling Ding 001 (Inf. Sci., 2023)

Graph clustering network with structure embedding enhanced. - Shifei Ding; Benyu Wu; Xiao Xu 006; Lili Guo; Ling Ding 001 (Pattern Recognit., 2023)

Deep Friendly Embedding Space for Clustering. - Haiwei Hou; Shifei Ding; Xiao Xu 006; Lili Guo (IIP (1), 2024)

Synergistic Deep Graph Clustering Network. - Benyu Wu; Shifei Ding; Xiao Xu 006; Lili Guo; Ling Ding 001; Xindong Wu 001 (CoRR, 2024)

Non-iterative border-peeling clustering algorithm based on swap strategy. - Hui Tu; Shifei Ding; Xiao Xu 006; Haiwei Hou; Chao Li; Ling Ding 001 (Inf. Sci., 2024)

Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder. - Shifei Ding; Benyu Wu; Ling Ding 001; Xiao Xu 006; Lili Guo; Hongmei Liao; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix. - Shifei Ding; Haiwei Hou; Xiao Xu 006; Jian Zhang 019; Lili Guo; Ling Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Horizontal Federated Density Peaks Clustering. - Shifei Ding; Chao Li; Xiao Xu 006; Lili Guo; Ling Ding 001; Xindong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Vertical Federated Density Peaks Clustering Under Nonlinear Mapping. - Chao Li; Shifei Ding; Xiao Xu 006; Lili Guo; Ling Ding 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Parameter-Adaptive Border Peeling Clustering Algorithm. - Hui Tu; Shifei Ding; Xiao Xu 006; Lili Guo; Ling Ding 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)