Runkun Lu

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 23

Top Topics

Subspace Clustering

Affine Transform

Multi View Learning

Top Venues

Neural Comput. Appl.

Publications

Runkun Lu, Jian-Wei Liu, Ze-Yu Liu, Jinzhong Chen
Partially latent factors based multi-view subspace learning. Comput. Intell. 38 (5) (2022)
Jian-wei Liu, Yuan-fang Wang, Runkun Lu, Xionglin Luo
Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss. CoRR (2022)
Jian-wei Liu, Zheng-ping Ren, Runkun Lu, Xionglin Luo
GMM Discriminant Analysis with Noisy Label for Each Class. CoRR (2022)
Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian
Online Deep Learning based on Auto-Encoder. CoRR (2022)
Jian-wei Liu, Xi-hao Ding, Runkun Lu, Xionglin Luo
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity. CoRR (2022)
Jian-wei Liu, Hao-jie Xie, Runkun Lu, Xionglin Luo
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. CoRR (2022)
Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo
Auto-Encoder based Co-Training Multi-View Representation Learning. CoRR (2022)
Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo
Multi-View representation learning in Multi-Task Scene. CoRR (2022)
Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian
Online deep learning based on auto-encoder. Appl. Intell. 51 (8) (2021)
Runkun Lu, Jian-wei Liu, Xin Zuo
Attentive Multi-View Deep Subspace Clustering Net. CoRR (2021)
Runkun Lu, Jianwei Liu, Xin Zuo
Attentive multi-view deep subspace clustering net. Neurocomputing 435 (2021)
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
Partially disentangled latent relations for multi-label deep learning. Neural Comput. Appl. 33 (11) (2021)
Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xiong-Lin Luo
GMM discriminant analysis with noisy label for each class. Neural Comput. Appl. 33 (4) (2021)
Runkun Lu, Jian-wei Liu, Xin Zuo, Wei-min Li
Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices. IJCNN (2021)
Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo
Multi-view representation learning in multi-task scene. Neural Comput. Appl. 32 (14) (2020)
Jianwei Liu, Hao-jie Xie, Runkun Lu, Xiong-Lin Luo
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. ICONIP (2) (2020)
Jianwei Liu, Xi-hao Ding, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo
Multi-View Capsule Network. ICANN (1) (2019)
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
Captured multi-label relations via joint deep supervised autoencoder. Appl. Soft Comput. 74 (2019)
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)
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)
Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo
Auto-encoder Based Co-training Multi-view Representation Learning. PAKDD (3) (2019)
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
Rank Pruning Approach for Noisy Multi-label Learning. SMC (2018)
Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo
Affine Transformation Capsule Net. PAKDD (Workshops) (2018)