Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification. - Yu Xue 003; Haokai Zhu; Jiayu Liang; Adam Slowik (Knowl. Based Syst., 2021)

A self-adaptive multi-objective feature selection approach for classification problems. - Yu Xue 003; Haokai Zhu; Ferrante Neri (Integr. Comput. Aided Eng., 2022)

A feature selection approach based on NSGA-II with ReliefF. - Yu Xue 003; Haokai Zhu; Ferrante Neri (Appl. Soft Comput., 2023)

MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation. - Haokai Zhu; Si-Yuan Cao; Jianxin Hu; Sitong Zuo; Beinan Yu; Jiacheng Ying; Junwei Li; Hui-Liang Shen (CVPR, 2024)