Yong Mi

According to our database, Yong Mi authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning.

Ronggang Cai, Hongmei Chen, Yong Mi, Tianrui Li, Chuan Luo, Shi-Jinn Horng

Inf. Sci., 2025

2024

Fast Multi-view Subspace Clustering with Balance Anchors Guidance.

Yong Mi, Hongmei Chen, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Pattern Recognit., January, 2024

Joint subspace reconstruction and label correlation for multi-label feature selection.

Zelong Wang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Appl. Intell., January, 2024

Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection.

Duanzhang Li, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Pattern Recognit., 2024

Multi-view clustering via pseudo-label guide learning and latent graph structure recovery.

Ronggang Cai, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Pattern Recognit., 2024

Face super resolution based on attention upsampling and gradient.

Anyi Zheng, Xiangjin Zeng, Pengpeng Song, Yong Mi, Zhibo He

Multim. Tools Appl., 2024

Multi-label Feature selection with adaptive graph learning and label information enhancement.

Zhi Qin, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Knowl. Based Syst., 2024

Unsupervised feature selection with high-order similarity learning.

Yong Mi, Hongmei Chen, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Knowl. Based Syst., 2024

Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness.

Huming Liao, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Inf. Sci., 2024

Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA.

Duanzhang Li, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Inf. Sci., 2024

Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration.

Yong Yang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Expert Syst. Appl., 2024

Feature-guided multi-view clustering by jointing local subspace label learning and global label learning.

Ronggang Cai, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Expert Syst. Appl., 2024

2023

Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection.

Mengshi Huang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Knowl. Based Syst., December, 2023

Multi-label feature selection based on stable label relevance and label-specific features.

Yong Yang, Hongmei Chen, Yong Mi, Chuan Luo, Shi-Jinn Horng, Tianrui Li

Inf. Sci., November, 2023

One-Stage Multi-view Clustering with Hierarchical Attributes Extraction.

Yong Mi, Jian Dai, Zhenwen Ren, Xiaojian You, Yanlong Wang

Cogn. Comput., March, 2023

2022

Multi-view clustering with dual tensors.

Yong Mi, Zhenwen Ren, Zhi Xu, Haoran Li, Quansen Sun, Hongxia Chen, Jian Dai

Neural Comput. Appl., 2022

2021

Diversity and consistency embedding learning for multi-view subspace clustering.

Yong Mi, Zhenwen Ren, Mithun Mukherjee, Yuqing Huang, Quansen Sun, Liwan Chen

Appl. Intell., 2021