An object tracking method based on CNN and optical flow. - Luyue Lin; Bo Liu 002; Yanshan Xiao (ICNC-FSKD, 2017)

Simultaneously Learning Adaptive Neighbors and Clustering Label via Semi-Supervised NMF. - Hao Cai; Bo Liu 002; Yanshan Xiao; Luyue Lin; Sujuan Zhou; Zhiyong Che (CSAE, 2019)

Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization. - Hao Cai; Bo Liu 002; Yanshan Xiao; Luyue Lin (Knowl. Based Syst., 2019)

A Latent Variables Augmentation Method Based on Adversarial Training for Image Categorization with Insufficient Training Samples. - Luyue Lin; Dacai Liu; Bo Liu 002; Yanshan Xiao (ICARCV, 2020)

COB method with online learning for object tracking. - Luyue Lin; Bo Liu 002; Yanshan Xiao (Neurocomputing, 2020)

Semi-Supervised Multi-view clustering based on orthonormality-constrained nonnegative matrix factorization. - Hao Cai; Bo Liu 002; Yanshan Xiao; Luyue Lin (Inf. Sci., 2020)

An efficient multi-label learning method with label projection. - Luyue Lin; Bo Liu 002; Xin Zheng 001; Yanshan Xiao; Zhijing Liu; Hao Cai (Knowl. Based Syst., 2020)

A multi-task transfer learning method with dictionary learning. - Xin Zheng 001; Luyue Lin; Bo Liu 002; Yanshan Xiao; Xiaoming Xiong (Knowl. Based Syst., 2020)

Dictionary-based transfer learning with Universum data. - Zhiyong Che; Bo Liu 002; Yanshan Xiao; Luyue Lin (Inf. Sci., 2022)

An Efficient Image Categorization Method With Insufficient Training Samples. - Luyue Lin; Bo Liu 002; Xin Zheng 001; Yanshan Xiao (IEEE Trans. Cybern., 2022)

A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples. - Luyue Lin; Xin Zheng 001; Bo Liu 002; Wei Chen 103; Yanshan Xiao (ACM Trans. Knowl. Discov. Data, 2022)