Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors. - Hongjie Jia; Shifei Ding; Mingjing Du 001 (Cogn. Comput., 2015)

p-Spectral Clustering Based on Neighborhood Attribute Granulation. - Shifei Ding; Hongjie Jia; Mingjing Du 001; Qiankun Hu (IIP, 2016)

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

Approximate normalized cuts without Eigen-decomposition. - Hongjie Jia; Shifei Ding; Mingjing Du 001; Yu Xue 004 (Inf. Sci., 2016)

Study on density peaks clustering based on k-nearest neighbors and principal component analysis. - Mingjing Du 001; Shifei Ding; Hongjie Jia (Knowl. Based Syst., 2016)

L-DP: A Hybrid Density Peaks Clustering Method. - Mingjing Du 001; Shifei Ding (DMBD, 2017)

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 novel density peaks clustering algorithm for mixed data. - Mingjing Du 001; Shifei Ding; Yu Xue 004 (Pattern Recognit. Lett., 2017)

A Nyström spectral clustering algorithm based on probability incremental sampling. - Hongjie Jia; Shifei Ding; Mingjing Du 001 (Soft Comput., 2017)

A semi-supervised approximate spectral clustering algorithm based on HMRF model. - Shifei Ding; Hongjie Jia; Mingjing Du 001; Yu Xue 004 (Inf. Sci., 2018)

A robust density peaks clustering algorithm using fuzzy neighborhood. - Mingjing Du 001; Shifei Ding; Yu Xue 004 (Int. J. Mach. Learn. Cybern., 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)

A novel density peaks clustering with sensitivity of local density and density-adaptive metric. - Mingjing Du 001; Shifei Ding; Yu Xue 004; Zhongzhi Shi (Knowl. Inf. Syst., 2019)

ROBP a robust border-peeling clustering using Cauchy kernel. - Mingjing Du 001; Ru Wang; Ru Ji; Xia Wang; Yongdong Zhang 001 (Inf. Sci., 2021)

Grid-Based Clustering Using Boundary Detection. - Mingjing Du 001; Fuyu Wu (Entropy, 2022)

Dual-Space Transfer Learning Based on an Indirect Mutual Promotion Strategy. - Teng Cui; Jianhan Pan; Mingjing Du 001; Qingyang Zhang (Int. J. Comput. Intell. Syst., 2022)

Attention-Based Sequence-to-Sequence Model for Time Series Imputation. - Yurui Li 002; Mingjing Du 001; Sheng He (Entropy, 2022)

A three-way clustering method based on improved density peaks algorithm and boundary detection graph. - Chen Sun; Mingjing Du 001; Jiarui Sun; Kangkang Li; Yongquan Dong (Int. J. Approx. Reason., 2023)

VAEAT: Variational AutoeEncoder with adversarial training for multivariate time series anomaly detection. - Sheng He; Mingjing Du 001; Xiang Jiang 008; Wenbin Zhang; Congyu Wang (Inf. Sci., 2024)

Density-based clustering with differential privacy. - Fuyu Wu; Mingjing Du 001; Qiang Zhi (Inf. Sci., 2024)

M3W: Multistep Three-Way Clustering. - Mingjing Du 001; Jingqi Zhao; Jiarui Sun; Yongquan Dong (IEEE Trans. Neural Networks Learn. Syst., 2024)

TWStream: Three-Way Stream Clustering. - Jiarui Sun; Mingjing Du 001; Zhenkang Lew; Yongquan Dong (IEEE Trans. Fuzzy Syst., 2024)

Feature Weighting-Based Deep Fuzzy C-Means for Clustering Incomplete Time Series. - Yurui Li 002; Mingjing Du 001; Wenbin Zhang; Xiang Jiang 008; Yongquan Dong (IEEE Trans. Fuzzy Syst., 2024)

Contrastive learning-based multi-view clustering for incomplete multivariate time series. - Yurui Li 002; Mingjing Du 001; Xiang Jiang 008; Nan Zhang (Inf. Fusion, 2025)

Fuzzy Cluster-Aware Contrastive Clustering for Time Series. - Congyu Wang; Mingjing Du 001; Xiang Jiang 008; Yongquan Dong (CoRR, 2025)

Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster. - Jiarui Sun; Mingjing Du 001; Chen Sun; Yongquan Dong (IEEE Trans. Neural Networks Learn. Syst., 2025)