Opposition-based multi-objective whale optimization algorithm with multi-leader guiding. - Yang Li 191; Weigang Li 004; Yun-Tao Zhao; Ao Liu 002 (Soft Comput., 2021)

Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation. - Songtao Li; Weigang Li 004; Yang Li 191 (IEEE Access, 2022)

Semi-supervised bi-orthogonal constraints dual-graph regularized NMF for subspace clustering. - Songtao Liu; Weigang Li 004; Junwei Hu; Yang Li 191 (Appl. Intell., 2022)

Hybrid multi-objective optimization algorithm based on angle competition and neighborhood protection mechanism. - Yang Li 191; Weigang Li 004; Yuntao Zhao; Songtao Li (Appl. Intell., 2023)

Subspace multi-regularized non-negative matrix factorization for hyperspectral unmixing. - Songtao Li; Weigang Li 004; Lian Cai; Yang Li 191 (Appl. Intell., 2023)

Semi-supervised non-negative matrix tri-factorization with adaptive neighbors and block-diagonal learning. - Songtao Liu; Weigang Li 004; Hao Lu; Yang Li 191 (Eng. Appl. Artif. Intell., 2023)

An infill sampling criterion based on improvement of probability and mapping crowding distance for expensive multi/many-objective optimization. - Yang Li 191; Weigang Li 004; Songtao Li; Yuntao Zhao (Eng. Appl. Artif. Intell., 2024)

A performance indicator-based evolutionary algorithm for expensive high-dimensional multi-/many-objective optimization. - Yang Li 191; Weigang Li 004; Songtao Li; Yuntao Zhao (Inf. Sci., 2024)

MCG-SLAM: Tightly coupled SLAM for multi-factor constraint graph optimisation. - Qifeng Wang; Weigang Li 004; Lei Nie; Zhiqiang Tian; Yang Li 191 (Inf. Sci., 2024)

A surrogate-assisted evolutionary algorithm based on the two-round selection strategy incorporating local search for expensive high-dimensional multi/many-objective optimization. - Yang Li 191; Weigang Li; Songtao Li; Qifeng Wang; Junwei Hu (Appl. Soft Comput., 2025)

Self-supervised star graph optimization embedding non-negative matrix factorization. - Songtao Li; Qiancheng Wang; Mengjie Luo; Yang Li 191; Chang Tang (Inf. Process. Manag., 2025)