Matrix-Based Approaches for Updating Approximations in Multigranulation Rough Set While Adding and Deleting Attributes. - Peiqiu Yu; Jinjin Li 001; Hongkun Wang; Guoping Lin (Int. J. Comput. Intell. Syst., 2019)

Matrix-based approaches for updating approximations in neighborhood multigranulation rough sets while neighborhood classes decreasing or increasing. - Peiqiu Yu; Hongkun Wang; Jinjin Li 001; Guoping Lin (J. Intell. Fuzzy Syst., 2019)

The Reduct of a Fuzzy β-Covering. - Lingling Mao; Jingqian Wang; Peiqiu Yu (IJCRS, 2020)

Updating the Reduct in Fuzzy β-Covering via Matrix Approaches While Adding and Deleting Some Objects of the Universe. - Jianxin Huang; Peiqiu Yu; Weikang Li (Inf., 2020)

Updating reducts in fuzzy $$ beta $$-covering via matrix approaches while coarsening and refining a covering element. - Liting Xu; Jinjin Li 001; Peiqiu Yu (J. Appl. Math. Comput., 2020)

Exploiting indirect linear correlation for label distribution learning. - Peiqiu Yu; Xiuyi Jia (Neurocomputing, 2024)

Label distribution learning via second-order self-representation. - Peiqiu Yu; Lei Chen; Weiwei Li; Xiuyi Jia (Int. J. Mach. Learn. Cybern., 2024)

Semi-supervised label distribution learning via global factorization and local constrain. - Peiqiu Yu; Xiuyi Jia (Neurocomputing, 2025)