Triple Factorization-Like Symmetric and Nonnegative Latent Factor Models for Undirected, Sparse and Large-Scaled Networks. - Ming Li 071; Yan Song 002; Guisong Yang (SMC, 2019)

Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach. - Yan Song 002; Ming Li 071; Xin Luo 001; Guisong Yang; Chongjing Wang (IEEE Trans. Ind. Informatics, 2020)

Fuzzy C-Means Clustering With Neighbor Information Constraint Using Sparse Self-Representation. - Cun Sun; Yan Song 002; Ming Li 071; Min Li (ICNSC, 2021)

Nonnegative Latent Factor-Incorporated Fuzzy Double c-Means Clustering for Incomplete Data. - Ming Li 071; Yan Song 002 (SMDS, 2021)

Latent Factor Learning Under Multiple Rating Patterns for Undirected, Large-Scaled and Sparse Networks. - Ming Li 071; Jing Wu; Yan Song 002; Bohui Wang (ICIT, 2022)

A repetitive feature selection method based on improved ReliefF for missing data. - Haiyan Fan; Luyu Xue; Yan Song 002; Ming Li 071 (Appl. Intell., 2022)

An enhanced matrix completion method based on non-negative latent factors for recommendation system. - Ming Li 071; Liqun Sheng; Yan Song 002; Jing Song (Expert Syst. Appl., 2022)

Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data. - Yan Song 002; Ming Li 071; Zhengyu Zhu; Guisong Yang; Xin Luo 001 (IEEE Trans. Fuzzy Syst., 2022)

Triple Factorization-Like Symmetric NLF Models With Latent Item-Item Relationship. - Ming Li 071; Yan Song 002 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Switching synthesizing-incorporated and cluster-based synthetic oversampling for imbalanced binary classification. - Jun Dou; Zihan Gao; Guoliang Wei; Yan Song 002; Ming Li 071 (Eng. Appl. Artif. Intell., 2023)

A general robust low-rank multinomial logistic regression for corrupted matrix data classification. - Yuyu Hu; Yali Fan; Yan Song 002; Ming Li 071 (Appl. Intell., 2023)

An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method. - Ming Li 071; Yan Song 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Biologically-Inspired Sparse Self-Representation Approach for Projected Fuzzy Double C-Means Clustering. - Xin Tian 012; Cun Sun; Ying Sun 004; Yan Song 002; Guoliang Wei; Hui Yu 001; Ming Li 071 (Cogn. Comput., 2023)

Biased collective latent factorization of tensors with transfer learning for dynamic QoS data predicting. - Jiaying Dong; Yan Song 002; Ming Li 071; Hong Rao (Digit. Signal Process., 2024)

Switching Triple-Weight-SMOTE in Empirical Feature Space for Imbalanced and Incomplete Data. - Jun Dou; Guoliang Wei; Yan Song 002; Dihao Zhou; Ming Li 071 (IEEE Trans Autom. Sci. Eng., 2024)

Triple Factorization-Based SNLF Representation With Improved Momentum-Incorporated AGD: A Knowledge Transfer Approach. - Ming Li 071; Yan Song 002; Derui Ding; Ran Sun (IEEE Trans. Knowl. Data Eng., 2024)