Dongdong Cheng

According to our database, Dongdong Cheng authored at least 30 papers between 2016 and 2023.

Collaborative distances:

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

2023

A novel outlier detecting algorithm based on the outlier turning points.

Jinlong Huang, Dongdong Cheng, Sulan Zhang

Expert Syst. Appl., November, 2023

Searching natural neighbors in an accelerated way.

Dongdong Cheng, Jiangmei Luo, Jinlong Huang, Sulan Zhang

Eng. Appl. Artif. Intell., November, 2023

A co-training method based on parameter-free and single-step unlabeled data selection strategy with natural neighbors.

Yanlu Gong, Quanwang Wu, Dongdong Cheng

Int. J. Mach. Learn. Cybern., 2023

Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Human-machine Hybrid Swarm Intelligence.

Guoyin Wang, Dongdong Cheng, Deyou Xia, Hai Jiang

Int. J. Autom. Comput., 2023

2022

A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks.

Dongdong Cheng, Jinlong Huang, Sulan Zhang, Xiaohua Zhang, Xin Luo

IEEE Trans. Syst. Man Cybern. Syst., 2022

A novel cluster internal evaluation index based on hyper-balls.

Jiang Xie, Pengfei Zhao, Shuyin Xia, Guoyin Wang, Dongdong Cheng

CoRR, 2022

A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation.

Jiangmei Luo, Qingsheng Zhu, Junnan Li, Dongdong Cheng, Mingqiang Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

ASNN: Accelerated Searching for Natural Neighbors.

Dongdong Cheng, Jiangmei Luo, Jinlong Huang, Sulan Zhang

Proceedings of the Big Data - 10th CCF Conference, 2022

2021

Clustering with Local Density Peaks-Based Minimum Spanning Tree.

Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Lijun Yang

IEEE Trans. Knowl. Data Eng., 2021

Density decay graph-based density peak clustering.

Zhiyong Zhang, Qingsheng Zhu, Fan Zhu, Junnan Li, Dongdong Cheng, Yi Liu, Jiangmei Luo

Knowl. Based Syst., 2021

Corrigendum to Intrusion detection based on improved density peak clustering for imbalanced data on sensor-cloud systems Journal of Systems Architecture volume 118 (2021) 102212.

Ming Yan, Yewang Chen, Xiaoliang Hu, Dongdong Cheng, Yi Chen, Jixiang Du

J. Syst. Archit., 2021

Intrusion detection based on improved density peak clustering for imbalanced data on sensor-cloud systems.

Ming Yan, Yewang Chen, Xiaoliang Hu, Dongdong Cheng, Yi Chen, Jixiang Du

J. Syst. Archit., 2021

Hierarchical Clustering Based on Local Cores and Sharing Concept.

Jinxin Shi, Qingsheng Zhu, Junnan Li, Ji Liu, Dongdong Cheng

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

An effective framework based on local cores for self-labeled semi-supervised classification.

Junnan Li, Qingsheng Zhu, Quanwang Wu, Dongdong Cheng

Knowl. Based Syst., 2020

Dense members of local cores-based density peaks clustering algorithm.

Dongdong Cheng, Sulan Zhang, Jinlong Huang

Knowl. Based Syst., 2020

2019

A Novel Cluster Validity Index Based on Local Cores.

Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Lijun Yang

IEEE Trans. Neural Networks Learn. Syst., 2019

Constraint nearest neighbor for instance reduction.

Lijun Yang, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Dongdong Cheng, Xiaolu Hong

Soft Comput., 2019

A local cores-based hierarchical clustering algorithm for data sets with complex structures.

Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Lijun Yang

Neural Comput. Appl., 2019

A hierarchical clustering algorithm based on noise removal.

Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Lijun Yang

Int. J. Mach. Learn. Cybern., 2019

A Novel Hybrid Clustering Algorithm Based on Minimum Spanning Tree of Natural Core Points.

Jinlong Huang, Ru Xu, Dongdong Cheng, Sulan Zhang, Keke Shang

IEEE Access, 2019

Improved Density Peaks Clustering Based on Shared-Neighbors of Local Cores for Manifold Data Sets.

Dongdong Cheng, Jinlong Huang, Sulan Zhang, Huijun Liu

IEEE Access, 2019

2018

Natural neighborhood graph-based instance reduction algorithm without parameters.

Lijun Yang, Qingsheng Zhu, Jinlong Huang, Dongdong Cheng, Quanwang Wu, Xiaolu Hong

Appl. Soft Comput., 2018

A Local Cores-Based Hierarchical Clustering Algorithm for Data Sets with Complex Structures.

Dongdong Cheng, Qingsheng Zhu, Quanwang Wu

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017

QCC: a novel clustering algorithm based on Quasi-Cluster Centers.

Jinlong Huang, Qingsheng Zhu, Lijun Yang, Dongdong Cheng, Quanwang Wu

Mach. Learn., 2017

A novel outlier cluster detection algorithm without top-n parameter.

Jinlong Huang, Qingsheng Zhu, Lijun Yang, Dongdong Cheng, Quanwang Wu

Knowl. Based Syst., 2017

Natural neighbor-based clustering algorithm with local representatives.

Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Lijun Yang, Quanwang Wu

Knowl. Based Syst., 2017

Adaptive edited natural neighbor algorithm.

Lijun Yang, Qingsheng Zhu, Jinlong Huang, Dongdong Cheng

Neurocomputing, 2017

2016

Natural Neighbor Reduction Algorithm for Instance-based Learning.

Lijun Yang, Qingsheng Zhu, Jinlong Huang, Dongdong Cheng, Cheng Zhang

Int. J. Cogn. Informatics Nat. Intell., 2016

Natural neighbor-based clustering algorithm with density peeks.

Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Lijun Yang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

An efficient reduction algorithm based on natural neighbor and nearest enemy.

Lijun Yang, Qingsheng Zhu, Jinlong Huang, Dongdong Cheng

Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016