Ming Li

Fuzzy C-Means Clustering With Neighbor Information Constraint Using Sparse Self-Representation

Min Li, Cun Sun, Yan Song, 2021, 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC).

Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data

Xin Luo, Guisong Yang, Yan Song, 2022 .

Latent Factor Learning Under Multiple Rating Patterns for Undirected, Large-Scaled and Sparse Networks

Yan Song, Ming Li, Jing Wu, 2022, 2022 IEEE International Conference on Industrial Technology (ICIT).

Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach

Guisong Yang, Yan Song, Ming Li, 2020, IEEE Transactions on Industrial Informatics.

Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data

Xin Luo, Guisong Yang, Yan Song, 2022, IEEE Transactions on Fuzzy Systems.

Triple Factorization-Like Symmetric NLF Models With Latent Item–Item Relationship

Yan Song, Ming Li, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method.

Yan Song, Ming Li, 2021, IEEE transactions on neural networks and learning systems.

A general robust low–rank multinomial logistic regression for corrupted matrix data classification

Yali Fan, Yan Song, Ming Li, 2023, Applied Intelligence.

Improved Latent Factor Models for Undirected and Sparse Networks with Large Scales

Guisong Yang, Guoliang Wei, Ming Li, 2019, 2019 Chinese Control Conference (CCC).