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2020 – today
- 2022
[j7]Runkun Lu
, Jianwei Liu, Ze-Yu Liu, Jinzhong Chen:
Partially latent factors based multi-view subspace learning. Comput. Intell. 38(5): 1772-1801 (2022)- [i8]Jian-wei Liu, Xi-hao Ding, Runkun Lu, Xionglin Luo:
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity. CoRR abs/2201.00168 (2022) - [i7]Jian-wei Liu, Hao-jie Xie, Runkun Lu, Xionglin Luo:
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. CoRR abs/2201.00171 (2022) - [i6]Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo:
Auto-Encoder based Co-Training Multi-View Representation Learning. CoRR abs/2201.02978 (2022) - [i5]Jian-wei Liu, Yuan-fang Wang, Runkun Lu, Xionglin Luo:
Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss. CoRR abs/2201.04726 (2022) - [i4]Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo:
Multi-View representation learning in Multi-Task Scene. CoRR abs/2201.05829 (2022) - [i3]Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian:
Online Deep Learning based on Auto-Encoder. CoRR abs/2201.07383 (2022) - [i2]Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xionglin Luo:
GMM Discriminant Analysis with Noisy Label for Each Class. CoRR abs/2201.10242 (2022) - 2021
- [j6]Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian:
Online deep learning based on auto-encoder. Appl. Intell. 51(8): 5420-5439 (2021) - [j5]Runkun Lu, Jianwei Liu, Xin Zuo:
Attentive multi-view deep subspace clustering net. Neurocomputing 435: 186-196 (2021) - [j4]Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xiong-Lin Luo:
GMM discriminant analysis with noisy label for each class. Neural Comput. Appl. 33(4): 1171-1191 (2021) - [j3]Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo:
Partially disentangled latent relations for multi-label deep learning. Neural Comput. Appl. 33(11): 6039-6064 (2021) - [c8]Runkun Lu, Jian-wei Liu, Xin Zuo, Weimin Li:
Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices. IJCNN 2021: 1-8 - [i1]Runkun Lu, Jian-wei Liu, Xin Zuo:
Attentive Multi-View Deep Subspace Clustering Net. CoRR abs/2112.12506 (2021) - 2020
- [j2]Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo:
Multi-view representation learning in multi-task scene. Neural Comput. Appl. 32(14): 10403-10422 (2020) - [c7]Jianwei Liu, Hao-jie Xie, Runkun Lu, Xiong-Lin Luo:
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. ICONIP (2) 2020: 536-545
2010 – 2019
- 2019
- [j1]Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo:
Captured multi-label relations via joint deep supervised autoencoder. Appl. Soft Comput. 74: 709-728 (2019) - [c6]Jianwei Liu, Xi-hao Ding, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo:
Multi-View Capsule Network. ICANN (1) 2019: 152-165 - [c5]Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang:
DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data. ICANN (1) 2019: 178-189 - [c4]Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang:
FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. IJCNN 2019: 1-7 - [c3]Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo:
Auto-encoder Based Co-training Multi-view Representation Learning. PAKDD (3) 2019: 119-130 - 2018
- [c2]Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo:
Affine Transformation Capsule Net. PAKDD (Workshops) 2018: 233-242 - [c1]Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo:
Rank Pruning Approach for Noisy Multi-label Learning. SMC 2018: 426-431
Coauthor Index
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