Mingjing Du

33 papers A* 1Journal 29Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Editorial: Robust machine learning.
Frontiers Artif. Intell.
Yuexuan An, Xingyu Zhao, Mingjing Du
2026 J jnl
Fuzzy cluster-aware contrastive clustering for time series.
Pattern Recognit.
Congyu Wang, Mingjing Du, Xiang Jiang, Yongquan Dong
2026 J jnl
GDCMAD: Graph-based dual-contrastive representation learning for multivariate time series anomaly detection.
Inf. Sci.
Sheng He, Wenxuan He, Mingjing Du, Xiang Jiang, Yongquan Dong
2026 J jnl
RFAG: Random forest clustering based on anchor graph.
Pattern Recognit.
Jinyu Li, Congyu Wang, Mingjing Du
2026 J jnl
Structure-aware granular ball clustering.
Inf. Sci.
Qijia Wang, Mingjing Du
2026 A* conf
Time-Frequency Augmented Multi-level Contrastive Clustering for Time Series.
AAAI
Congyu Wang, Mingjing Du, Xiang Jiang
2025 J jnl
Contrastive learning-based multi-view clustering for incomplete multivariate time series.
Inf. Fusion
Yurui Li, Mingjing Du, Xiang Jiang, Nan Zhang
2025 J jnl
Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster.
IEEE Trans. Neural Networks Learn. Syst.
Jiarui Sun, Mingjing Du, Chen Sun, Yongquan Dong
2025 J jnl
Fuzzy Cluster-Aware Contrastive Clustering for Time Series.
CoRR
Congyu Wang, Mingjing Du, Xiang Jiang, Yongquan Dong
2024 J jnl
Density-based clustering with differential privacy.
Inf. Sci.
Fuyu Wu, Mingjing Du, Qiang Zhi
2024 J jnl
Feature Weighting-Based Deep Fuzzy C-Means for Clustering Incomplete Time Series.
IEEE Trans. Fuzzy Syst.
Yurui Li, Mingjing Du, Wenbin Zhang, Xiang Jiang, Yongquan Dong
2024 J jnl
M3W: Multistep Three-Way Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Mingjing Du, Jingqi Zhao, Jiarui Sun, Yongquan Dong
2024 J jnl
TWStream: Three-Way Stream Clustering.
IEEE Trans. Fuzzy Syst.
Jiarui Sun, Mingjing Du, Zhenkang Lew, Yongquan Dong
2024 J jnl
VAEAT: Variational AutoeEncoder with adversarial training for multivariate time series anomaly detection.
Inf. Sci.
Sheng He, Mingjing Du, Xiang Jiang, Wenbin Zhang, Congyu Wang
2023 J jnl
A three-way clustering method based on improved density peaks algorithm and boundary detection graph.
Int. J. Approx. Reason.
Chen Sun, Mingjing Du, Jiarui Sun, Kangkang Li, Yongquan Dong
2022 J jnl
Attention-Based Sequence-to-Sequence Model for Time Series Imputation.
Entropy
Yurui Li, Mingjing Du, Sheng He
2022 J jnl
Dual-Space Transfer Learning Based on an Indirect Mutual Promotion Strategy.
Int. J. Comput. Intell. Syst.
Teng Cui, Jianhan Pan, Mingjing Du, Qingyang Zhang
2022 J jnl
Grid-Based Clustering Using Boundary Detection.
Entropy
Mingjing Du, Fuyu Wu
2021 J jnl
ROBP a robust border-peeling clustering using Cauchy kernel.
Inf. Sci.
Mingjing Du, Ru Wang, Ru Ji, Xia Wang, Yongdong Zhang
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
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
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
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 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 — conf
L-DP: A Hybrid Density Peaks Clustering Method.
DMBD
Mingjing Du, Shifei Ding
2016 — conf
A Novel Locally Multiple Kernel k-means Based on Similarity.
IIP
Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu
2016 J jnl
Approximate normalized cuts without Eigen-decomposition.
Inf. Sci.
Hongjie Jia, Shifei Ding, Mingjing Du, Yu Xue
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 — conf
p-Spectral Clustering Based on Neighborhood Attribute Granulation.
IIP
Shifei Ding, Hongjie Jia, Mingjing Du, Qiankun Hu
2015 J jnl
Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors.
Cogn. Comput.
Hongjie Jia, Shifei Ding, Mingjing Du