Mingjing Du

According to our database, Mingjing Du authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

M3W: Multistep Three-Way Clustering.

Mingjing Du, Jingqi Zhao, Jiarui Sun, Yongquan Dong

IEEE Trans. Neural Networks Learn. Syst., April, 2024

VAEAT: Variational AutoeEncoder with adversarial training for multivariate time series anomaly detection.

Sheng He, Mingjing Du, Xiang Jiang, Wenbin Zhang, Congyu Wang

Inf. Sci., 2024

2023

A three-way clustering method based on improved density peaks algorithm and boundary detection graph.

Chen Sun, Mingjing Du, Jiarui Sun, Kangkang Li, Yongquan Dong

Int. J. Approx. Reason., 2023

2022

Attention-Based Sequence-to-Sequence Model for Time Series Imputation.

Yurui Li, Mingjing Du, Sheng He

Entropy, December, 2022

Dual-Space Transfer Learning Based on an Indirect Mutual Promotion Strategy.

Teng Cui, Jianhan Pan, Mingjing Du, Qingyang Zhang

Int. J. Comput. Intell. Syst., 2022

Grid-Based Clustering Using Boundary Detection.

Mingjing Du, Fuyu Wu

Entropy, 2022

2021

ROBP a robust border-peeling clustering using Cauchy kernel.

Mingjing Du, Ru Wang, Ru Ji, Xia Wang, Yongdong Zhang

Inf. Sci., 2021

2020

Numerical Solution of a Class of Predator-Prey Systems with Complex Dynamics Characters Based on a Sinc Function Interpolation Collocation Method.

Mingjing Du, Pengfei Ning, Yulan Wang

Complex., 2020

2019

A novel density peaks clustering with sensitivity of local density and density-adaptive metric.

Mingjing Du, Shifei Ding, Yu Xue, Zhongzhi Shi

Knowl. Inf. Syst., 2019

Some Novel Complex Dynamic Behaviors of a Class of Four-Dimensional Chaotic or Hyperchaotic Systems Based on a Meshless Collocation Method.

Mingjing Du, Yulan Wang

Complex., 2019

Numerical Simulation of a Class of Three-Dimensional Kolmogorov Model with Chaotic Dynamic Behavior by Using Barycentric Interpolation Collocation Method.

Mingjing Du, Junmei Li, Yulan Wang, Wei Zhang

Complex., 2019

Resolving public goods dilemma by giving the poor more support.

Bo Gao, Xuan Liu, Shuxia Hou, Danyang Jia, Mingjing Du

Appl. Math. Comput., 2019

A novel method for numerical simulation of sand motion model in beach formation based on fractional Taylor-Jumarie series expansion and piecewise interpolation technique.

Mingjing Du, Xiaohua Qiao, Biao Wang, Yulan Wang, Bo Gao

Appl. Math. Comput., 2019

2018

DPCG: an efficient density peaks clustering algorithm based on grid.

Xiao Xu, Shifei Ding, Mingjing Du, Yu Xue

Int. J. Mach. Learn. Cybern., 2018

Density peaks clustering using geodesic distances.

Mingjing Du, Shifei Ding, Xiao Xu, Yu Xue

Int. J. Mach. Learn. Cybern., 2018

A robust density peaks clustering algorithm using fuzzy neighborhood.

Mingjing Du, Shifei Ding, Yu Xue

Int. J. Mach. Learn. Cybern., 2018

A semi-supervised approximate spectral clustering algorithm based on HMRF model.

Shifei Ding, Hongjie Jia, Mingjing Du, Yu Xue

Inf. Sci., 2018

Using reproducing kernel for solving a class of time-fractional telegraph equation with initial value conditions.

Yulan Wang, Mingjing Du, Temuer Chaolu, Dan Tian

Int. J. Comput. Math., 2018

2017

A Nyström spectral clustering algorithm based on probability incremental sampling.

Hongjie Jia, Shifei Ding, Mingjing Du

Soft Comput., 2017

A novel density peaks clustering algorithm for mixed data.

Mingjing Du, Shifei Ding, Yu Xue

Pattern Recognit. Lett., 2017

An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood.

Shifei Ding, Mingjing Du, Tongfeng Sun, Xiao Xu, Yu Xue

Knowl. Based Syst., 2017

A modified reproducing kernel method for solving Burgers' equation arising from diffusive waves in fluid dynamics.

Mingjing Du, Yulan Wang, Temuer Chaolu, Dan Tian

Appl. Math. Comput., 2017

Reproducing kernel method for numerical simulation of downhole temperature distribution.

Mingjing Du, Yulan Wang, Temuer Chaolu

Appl. Math. Comput., 2017

L-DP: A Hybrid Density Peaks Clustering Method.

Mingjing Du, Shifei Ding

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.

Mingjing Du, Shifei Ding, Hongjie Jia

Knowl. Based Syst., 2016

Approximate normalized cuts without Eigen-decomposition.

Hongjie Jia, Shifei Ding, Mingjing Du, Yu Xue

Inf. Sci., 2016

A Novel Locally Multiple Kernel k-means Based on Similarity.

Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu

Proceedings of the Intelligent Information Processing VIII, 2016

p-Spectral Clustering Based on Neighborhood Attribute Granulation.

Shifei Ding, Hongjie Jia, Mingjing Du, Qiankun Hu

Proceedings of the Intelligent Information Processing VIII, 2016

2015

Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors.

Hongjie Jia, Shifei Ding, Mingjing Du

Cogn. Comput., 2015

2013

Using reproducing kernel for solving a class of fractional partial differential equation with non-classical conditions.

Yulan Wang, Mingjing Du, Fugui Tan, Ziyang Li, Tingfang Nie

Appl. Math. Comput., 2013