Affine Transformation Capsule Net. - Runkun Lu; Jianwei Liu 006; Siming Lian; Xin Zuo (PAKDD (Workshops), 2018)

Rank Pruning Approach for Noisy Multi-label Learning. - Siming Lian; Jianwei Liu 006; Runkun Lu; Xionglin Luo (SMC, 2018)

Multi-View Capsule Network. - Jianwei Liu 006; Xi-hao Ding; Runkun Lu; Yuanfeng Lian; Dianzhong Wang; Xionglin Luo (ICANN (1), 2019)

DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data. - Jianwei Liu 006; Feng Gao; Runkun Lu; Yuanfeng Lian; Dianzhong Wang; Xionglin Luo; Chu-ran Wang (ICANN (1), 2019)

FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. - Jianwei Liu 006; Feng Gao; Runkun Lu; Yuanfeng Lian; Dianzhong Wang; Xionglin Luo; Chu-ran Wang (IJCNN, 2019)

Auto-encoder Based Co-training Multi-view Representation Learning. - Runkun Lu; Jianwei Liu 006; Yuan-Fang Wang; Hao-jie Xie; Xin Zuo (PAKDD (3), 2019)

Captured multi-label relations via joint deep supervised autoencoder. - Siming Lian; Jianwei Liu 006; Runkun Lu; Xionglin Luo (Appl. Soft Comput., 2019)

Multi-view Subspace Adaptive Learning via Autoencoder and Attention. - Jianwei Liu 006; Hao-jie Xie; Runkun Lu; Xiong-Lin Luo (ICONIP (2), 2020)

Multi-view representation learning in multi-task scene. - Runkun Lu; Jianwei Liu 006; Siming Lian; Xin Zuo (Neural Comput. Appl., 2020)

Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices. - Runkun Lu; Jian-wei Liu 006; Xin Zuo; Weimin Li 001 (IJCNN, 2021)

Online deep learning based on auto-encoder. - Si-Si Zhang; Jianwei Liu 006; Xin Zuo; Runkun Lu; Siming Lian (Appl. Intell., 2021)

Attentive multi-view deep subspace clustering net. - Runkun Lu; Jianwei Liu 006; Xin Zuo (Neurocomputing, 2021)

Partially disentangled latent relations for multi-label deep learning. - Siming Lian; Jianwei Liu 006; Runkun Lu; Xionglin Luo (Neural Comput. Appl., 2021)

GMM discriminant analysis with noisy label for each class. - Jianwei Liu 006; Zheng-ping Ren; Runkun Lu; Xiong-Lin Luo (Neural Comput. Appl., 2021)

Partially latent factors based multi-view subspace learning. - Runkun Lu; Jianwei Liu 006; Ze-Yu Liu 011; Jinzhong Chen (Comput. Intell., 2022)

Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity. - Jian-wei Liu 006; Xi-hao Ding; Runkun Lu; Xionglin Luo (CoRR, 2022)

Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss. - Jian-wei Liu 006; Yuan-Fang Wang; Runkun Lu; Xionglin Luo (CoRR, 2022)