Runkun Lu

According to our database, Runkun Lu authored at least 17 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss.

Jian-wei Liu, Yuan-fang Wang, Runkun Lu, Xionglin Luo

CoRR, 2022

Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity.

Jian-wei Liu, Xi-hao Ding, Runkun Lu, Xionglin Luo

CoRR, 2022

Partially latent factors based multi-view subspace learning.

Runkun Lu, Jianwei Liu, Ze-Yu Liu, Jinzhong Chen

Comput. Intell., 2022

2021

GMM discriminant analysis with noisy label for each class.

Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xiong-Lin Luo

Neural Comput. Appl., 2021

Partially disentangled latent relations for multi-label deep learning.

Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo

Neural Comput. Appl., 2021

Attentive multi-view deep subspace clustering net.

Runkun Lu, Jianwei Liu, Xin Zuo

Neurocomputing, 2021

Online deep learning based on auto-encoder.

Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian

Appl. Intell., 2021

Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices.

Runkun Lu, Jian-wei Liu, Xin Zuo, Weimin Li

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Multi-view representation learning in multi-task scene.

Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo

Neural Comput. Appl., 2020

Multi-view Subspace Adaptive Learning via Autoencoder and Attention.

Jianwei Liu, Hao-jie Xie, Runkun Lu, Xiong-Lin Luo

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Captured multi-label relations via joint deep supervised autoencoder.

Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo

Appl. Soft Comput., 2019

Auto-encoder Based Co-training Multi-view Representation Learning.

Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data.

Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang

Proceedings of the International Joint Conference on Neural Networks, 2019

DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data.

Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Multi-View Capsule Network.

Jianwei Liu, Xi-hao Ding, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Rank Pruning Approach for Noisy Multi-label Learning.

Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Affine Transformation Capsule Net.

Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018