| Hyperspectral image classification with Markov random fields and a convolutional neural network X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley IEEE Transactions on image processing 27 (5), 2354-2367, 2018 | 334 | 2018 |
| Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification X Cao, L Xu, D Meng, Q Zhao, Z Xu Neurocomputing 226, 90-100, 2017 | 121 | 2017 |
| Re-scale AdaBoost for attack detection in collaborative filtering recommender systems Z Yang, L Xu, Z Cai, Z Xu Knowledge-Based Systems 100, 74-88, 2016 | 111 | 2016 |
| Polarimetric SAR image semantic segmentation with 3D discrete wavelet transform and Markov random field H Bi, L Xu, X Cao, Y Xue, Z Xu IEEE transactions on image processing 29, 6601-6614, 2020 | 106 | 2020 |
| Sparsity-enhanced convolutional decomposition: A novel tensor-based paradigm for blind hyperspectral unmixing J Yao, D Hong, L Xu, D Meng, J Chanussot, Z Xu IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 64 | 2021 |
| Mvp matching: A maximum-value perfect matching for mining hard samples, with application to person re-identification H Sun, Z Chen, S Yan, L Xu Proceedings of the IEEE/CVF International conference on computer vision …, 2019 | 51 | 2019 |
| Phd learning: Learning with pompeiu-hausdorff distances for video-based vehicle re-identification J Zhao, F Qi, G Ren, L Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 33 | 2021 |
| Learning with batch-wise optimal transport loss for 3D shape recognition L Xu, H Sun, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
| The universal consistency of extreme learning machine X Liu, L Xu Neurocomputing 311, 176-182, 2018 | 16 | 2018 |
| Greedy criterion in orthogonal greedy learning L Xu, S Lin, J Zeng, X Liu, Y Fang, Z Xu IEEE transactions on cybernetics 48 (3), 955-966, 2017 | 14 | 2017 |
| Polsar image classification based on three-dimensional wavelet texture features and Markov random field H Bi, L Xu, X Cao, Z Xu 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 13 | 2017 |
| Shrinkage Degree in -Rescale Boosting for Regression L Xu, S Lin, Y Wang, Z Xu IEEE Transactions on Neural Networks and Learning Systems 28 (8), 1851-1864, 2016 | 10 | 2016 |
| HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning S Yan, J Xu, Y Liu, L Xu International Joint Conferences on Artificial Intelligence, 5342-5348, 2019 | 7 | 2019 |
| Jackson-type inequalities for spherical neural networks with doubling weights S Lin, J Zeng, L Xu, Z Xu Neural Networks 63, 57-65, 2015 | 7 | 2015 |
| Emface: Detecting hard faces by exploring receptive field pyraminds L Cao, Y Xiao, L Xu arXiv preprint arXiv:2105.10104, 2021 | 5 | 2021 |
| Re-scale boosting for regression and classification S Lin, Y Wang, L Xu arXiv preprint arXiv:1505.01371, 2015 | 5 | 2015 |
| Oa-fsui2it: A novel few-shot cross domain object detection framework with object-aware few-shot unsupervised image-to-image translation L Zhao, Y Meng, L Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3426-3435, 2022 | 4 | 2022 |
| Adaptive multi-task learning for cross domain and modal person re-identification S Yan, J Zhao, L Xu Neurocomputing 486, 123-134, 2022 | 3 | 2022 |
| LPCC-Net: RGB Guided Local Point Cloud Completion for Outdoor 3D Object Detection Y Wei, Y Xiao, Y Guo, S Liu, L Xu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 3 | 2021 |
| Learning capability of the truncated greedy algorithm L Xu, S Lin, Z Xu Science China. Information Sciences 59 (5), 052103, 2016 | 3 | 2016 |
