| Attentive multi-view deep subspace clustering net R Lu, J Liu, X Zuo Neurocomputing 435, 186-196, 2021 | 27 | 2021 |
| Deformation characterization of oil and gas pipeline by ACM technique based on SSA-BP neural network model J Xin, J Chen, C Li, R Lu, X Li, C Wang, H Zhu, R He Measurement 189, 110654, 2022 | 25 | 2022 |
| Captured multi-label relations via joint deep supervised autoencoder S Lian, J Liu, R Lu, X Luo Applied Soft Computing 74, 709-728, 2019 | 14 | 2019 |
| Auto-encoder based co-training multi-view representation learning R Lu, J Liu, Y Wang, H Xie, X Zuo Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 10 | 2019 |
| Multi-view non-negative matrix factorization discriminant learning via cross entropy loss JW Liu, YF Wang, RK Lu, XL Luo 2020 Chinese control and decision conference (CCDC), 3964-3971, 2020 | 9 | 2020 |
| Multi-view representation learning in multi-task scene R Lu, J Liu, S Lian, X Zuo Neural Computing and Applications 32, 10403-10422, 2020 | 9 | 2020 |
| Online deep learning based on auto-encoder S Zhang, J Liu, X Zuo, R Lu, S Lian Applied Intelligence, 1-20, 2021 | 8 | 2021 |
| Fsc-capsnet: Fractionally-strided convolutional capsule network for complex data J Liu, F Gao, R Lu, Y Lian, D Wang, X Luo, C Wang 2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019 | 8 | 2019 |
| GMM discriminant analysis with noisy label for each class J Liu, Z Ren, R Lu, X Luo Neural Computing and Applications 33, 1171-1191, 2021 | 6 | 2021 |
| Multi-view capsule network J Liu, X Ding, R Lu, Y Lian, D Wang, X Luo International Conference on Artificial Neural Networks, 152-165, 2019 | 4 | 2019 |
| Affine transformation capsule net R Lu, J Liu, S Lian, X Zuo Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 …, 2018 | 4 | 2018 |
| DDRM-CapsNet: capsule network based on deep dynamic routing mechanism for complex data J Liu, F Gao, R Lu, Y Lian, D Wang, X Luo, C Wang Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019 | 3 | 2019 |
| Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices R Lu, J Liu, X Zuo, W Li 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| Partially disentangled latent relations for multi-label deep learning S Lian, J Liu, R Lu, X Luo Neural Computing and Applications 33, 6039-6064, 2021 | 2 | 2021 |
| A crack characterization model for subsea pipeline based on spatial magnetic signals features J Xin, R Li, J Chen, R Lu, C Liu, Z Su, R He, H Zhu Ocean Engineering 274, 114112, 2023 | 1 | 2023 |
| 基于 MEMS 惯导系统的小口径油气管道中心线测绘技术 Z Weiwen, LU Runkun, C Jinzhong, Y Zhiqiang, MA Yilai, L Chuang, ... 无损检测 45 (7), 41-44, 52, 2023 | 1 | 2023 |
| Numerical simulation of pipeline crack detection probe with poly-magnetic structure J Xin, W Zhang, R Lu, J Chen, H Zhu, R He Journal of Physics: Conference Series 2383 (1), 012031, 2022 | 1 | 2022 |
| Self-attention multi-view representation learning with diversity-promoting complementarity J Liu, X Ding, R Lu, LUO Xionglin 2020 Chinese Control And Decision Conference (CCDC), 3972-3978, 2020 | 1 | 2020 |
| Multi-view classification via Multi-view Partially Common Feature Latent Factor Learning JW Liu, HJ Xie, RK Lu, XL Luo 2020 Chinese Control And Decision Conference (CCDC), 3323-3330, 2020 | 1 | 2020 |
| Multi-view subspace adaptive learning via autoencoder and attention J Liu, H Xie, R Lu, X Luo Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 1 | 2020 |
jian-wei liu 刘建伟china university of petroleum BeijingVerified email at cup.edu.cn
