An efficient reduction algorithm based on natural neighbor and nearest enemy. - Lijun Yang; Qingsheng Zhu; Jinlong Huang; Dongdong Cheng (ICCI*CC, 2016)

Natural neighbor-based clustering algorithm with density peeks. - Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Lijun Yang (IJCNN, 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)

Adaptive edited natural neighbor algorithm. - Lijun Yang; Qingsheng Zhu; Jinlong Huang; Dongdong Cheng (Neurocomputing, 2017)

Natural neighbor-based clustering algorithm with local representatives. - Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Lijun Yang; Quanwang Wu (Knowl. Based Syst., 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)

QCC: a novel clustering algorithm based on Quasi-Cluster Centers. - Jinlong Huang; Qingsheng Zhu; Lijun Yang; Dongdong Cheng; Quanwang Wu (Mach. Learn., 2017)

A Local Cores-Based Hierarchical Clustering Algorithm for Data Sets with Complex Structures. - Dongdong Cheng; Qingsheng Zhu; Quanwang Wu (COMPSAC (1), 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)

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)

A Novel Hybrid Clustering Algorithm Based on Minimum Spanning Tree of Natural Core Points. - Jinlong Huang; Ru Xu; Dongdong Cheng; Sulan Zhang; Keke Shang 001 (IEEE Access, 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 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)

Constraint nearest neighbor for instance reduction. - Lijun Yang; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Dongdong Cheng; Xiaolu Hong (Soft Comput., 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)

Dense members of local cores-based density peaks clustering algorithm. - Dongdong Cheng; Sulan Zhang; Jinlong Huang (Knowl. Based Syst., 2020)

An effective framework based on local cores for self-labeled semi-supervised classification. - Junnan Li 004; Qingsheng Zhu; Quanwang Wu; Dongdong Cheng (Knowl. Based Syst., 2020)

Hierarchical Clustering Based on Local Cores and Sharing Concept. - Jinxin Shi; Qingsheng Zhu; Junnan Li 004; Ji Liu 006; Dongdong Cheng (COMPSAC, 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 007; Jixiang Du (J. Syst. Archit., 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 007; Jixiang Du (J. Syst. Archit., 2021)

Density decay graph-based density peak clustering. - Zhiyong Zhang; Qingsheng Zhu; Fan Zhu; Junnan Li 004; Dongdong Cheng; Yi Liu; Jiangmei Luo (Knowl. Based Syst., 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)

ASNN: Accelerated Searching for Natural Neighbors. - Dongdong Cheng; Jiangmei Luo; Jinlong Huang; Sulan Zhang (Big Data (CCF), 2022)

A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation. - Jiangmei Luo; Qingsheng Zhu; Junnan Li 004; Dongdong Cheng; Mingqiang Zhou (PAKDD (2), 2022)

A novel cluster internal evaluation index based on hyper-balls. - Jiang Xie 002; Pengfei Zhao; Shuyin Xia; Guoyin Wang 001; Dongdong Cheng (CoRR, 2022)

A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks. - Dongdong Cheng; Jinlong Huang; Sulan Zhang; Xiaohua Zhang; Xin Luo 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Human-machine Hybrid Swarm Intelligence. - Guoyin Wang 001; Dongdong Cheng; Deyou Xia; Hai Jiang 003 (Int. J. Autom. Comput., 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)

Searching natural neighbors in an accelerated way. - Dongdong Cheng; Jiangmei Luo; Jinlong Huang; Sulan Zhang (Eng. Appl. Artif. Intell., 2023)

A novel outlier detecting algorithm based on the outlier turning points. - Jinlong Huang; Dongdong Cheng; Sulan Zhang (Expert Syst. Appl., 2023)

Granular-ball-based Fast Spectral Embedding Clustering Algorithm for Large-Scale Data. - Shushu Liu; Dongdong Cheng; Jiang Xie 002 (ICMLC, 2024)

Fast Minimum Spanning Tree Clustering Algorithm Based on Granular-Ball Computing. - Xiaocui Jiang; Dongdong Cheng; Jinlong Huang; Sulan Zhang (IJCRS (1), 2024)

Unsupervised Granular-Ball Partitioning Algorithm Based on KL Divergence. - Xiaodong Xu; Dongdong Cheng; Jinlong Huang; Sulan Zhang (IJCRS (1), 2024)

Multi-strategy Integration Model Based on Black-Winged Kite Algorithm and Artificial Rabbit Optimization. - Ruidong Xue; Xiaoxia Zhang; Xin Xu; Jiangtao Zhang; Dongdong Cheng; Guoyin Wang 001 (ICSI (1), 2024)

Granular-ball computing-based manifold clustering algorithms for ultra-scalable data. - Dongdong Cheng; Shushu Liu; Shuyin Xia; Guoyin Wang 001 (Expert Syst. Appl., 2024)

GB-DBSCAN: A fast granular-ball based DBSCAN clustering algorithm. - Dongdong Cheng; Cheng Zhang; Ya Li; Shuyin Xia; Guoyin Wang 001; Jinlong Huang; Sulan Zhang; Jiang Xie 002 (Inf. Sci., 2024)

A robust method based on locality sensitive hashing for K-nearest neighbors searching. - Dongdong Cheng; Jinlong Huang; Sulan Zhang; Quanwang Wu (Wirel. Networks, 2024)

K-Means Clustering With Natural Density Peaks for Discovering Arbitrary-Shaped Clusters. - Dongdong Cheng; Jinlong Huang; Sulan Zhang; Shuyin Xia; Guoyin Wang 001; Jiang Xie 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Fast Granular-Ball-Based Density Peaks Clustering Algorithm for Large-Scale Data. - Dongdong Cheng; Ya Li; Shuyin Xia; Guoyin Wang 001; Jinlong Huang; Sulan Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Distribution-Aware Fractional Anisotropic Filtering for Vibration Displacement Field Measurement. - Jing Shen; Xuezhi Yang; Dongdong Cheng (IEEE Trans. Instrum. Meas., 2025)