Mingjing Du

Orcid: 0000-0002-7701-9004

Affiliations:
  • Jiangsu Normal University, Xuzhou, Jiangsu, China
  • China University of Mining and Technology, Xuzhou, China


According to our database1, Mingjing Du authored at least 27 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Fuzzy Cluster-Aware Contrastive Clustering for Time Series.
CoRR, March, 2025

Contrastive learning-based multi-view clustering for incomplete multivariate time series.
Inf. Fusion, 2025

2024
Feature Weighting-Based Deep Fuzzy C-Means for Clustering Incomplete Time Series.
IEEE Trans. Fuzzy Syst., December, 2024

TWStream: Three-Way Stream Clustering.
IEEE Trans. Fuzzy Syst., September, 2024

M3W: Multistep Three-Way Clustering.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Density-based clustering with differential privacy.
Inf. Sci., 2024

VAEAT: Variational AutoeEncoder with adversarial training for multivariate time series anomaly detection.
Inf. Sci., 2024

2023
A three-way clustering method based on improved density peaks algorithm and boundary detection graph.
Int. J. Approx. Reason., 2023

2022
Attention-Based Sequence-to-Sequence Model for Time Series Imputation.
Entropy, December, 2022

Dual-Space Transfer Learning Based on an Indirect Mutual Promotion Strategy.
Int. J. Comput. Intell. Syst., 2022

Grid-Based Clustering Using Boundary Detection.
Entropy, 2022

2021
ROBP a robust border-peeling clustering using Cauchy kernel.
Inf. Sci., 2021

2019
A novel density peaks clustering with sensitivity of local density and density-adaptive metric.
Knowl. Inf. Syst., 2019

2018
DPCG: an efficient density peaks clustering algorithm based on grid.
Int. J. Mach. Learn. Cybern., 2018

Density peaks clustering using geodesic distances.
Int. J. Mach. Learn. Cybern., 2018

A robust density peaks clustering algorithm using fuzzy neighborhood.
Int. J. Mach. Learn. Cybern., 2018

A semi-supervised approximate spectral clustering algorithm based on HMRF model.
Inf. Sci., 2018

2017
A Nyström spectral clustering algorithm based on probability incremental sampling.
Soft Comput., 2017

A novel density peaks clustering algorithm for mixed data.
Pattern Recognit. Lett., 2017

An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood.
Knowl. Based Syst., 2017

L-DP: A Hybrid Density Peaks Clustering Method.
Proceedings of the Data Mining and Big Data - Second International Conference, 2017

2016
Study on density peaks clustering based on k-nearest neighbors and principal component analysis.
Knowl. Based Syst., 2016

Approximate normalized cuts without Eigen-decomposition.
Inf. Sci., 2016

A Novel Locally Multiple Kernel k-means Based on Similarity.
Proceedings of the Intelligent Information Processing VIII, 2016

p-Spectral Clustering Based on Neighborhood Attribute Granulation.
Proceedings of the Intelligent Information Processing VIII, 2016

2015
Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors.
Cogn. Comput., 2015


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