| Improved recurrent neural networks for session-based recommendations YK Tan, X Xu, Y Liu Proceedings of the 1st workshop on deep learning for recommender systems, 17-22, 2016 | 877 | 2016 |
| Artificial intelligence to detect papilledema from ocular fundus photographs D Milea, RP Najjar, Z Jiang, D Ting, C Vasseneix, X Xu, M Aghsaei Fard, ... New England Journal of Medicine 382 (18), 1687-1695, 2020 | 302 | 2020 |
| AI for medical imaging goes deep DSW Ting, Y Liu, P Burlina, X Xu, NM Bressler, TY Wong Nature medicine 24 (5), 539-540, 2018 | 232 | 2018 |
| Medical image segmentation using squeeze-and-expansion transformers S Li, X Sui, X Luo, X Xu, Y Liu, R Goh arXiv preprint arXiv:2105.09511, 2021 | 204 | 2021 |
| Human gait recognition using patch distribution feature and locality-constrained group sparse representation D Xu, Y Huang, Z Zeng, X Xu IEEE Transactions on Image Processing 21 (1), 316-326, 2011 | 159 | 2011 |
| Soft margin multiple kernel learning X Xu, IW Tsang, D Xu IEEE transactions on neural networks and learning systems 24 (5), 749-761, 2013 | 153 | 2013 |
| Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study TE Tan, A Anees, C Chen, S Li, X Xu, Z Li, Z Xiao, Y Yang, X Lei, M Ang, ... The Lancet Digital Health 3 (5), e317-e329, 2021 | 135 | 2021 |
| Craft: Cross-attentional flow transformer for robust optical flow X Sui, S Li, X Geng, Y Wu, X Xu, Y Liu, R Goh, H Zhu Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2022 | 131 | 2022 |
| Distance metric learning using privileged information for face verification and person re-identification X Xu, W Li, D Xu IEEE transactions on neural networks and learning systems 26 (12), 3150-3162, 2015 | 122 | 2015 |
| Laplacian-steered neural style transfer S Li, X Xu, L Nie, TS Chua Proceedings of the 25th ACM international conference on Multimedia, 1716-1724, 2017 | 121 | 2017 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature machine intelligence 5 (7), 799-810, 2023 | 99 | 2023 |
| Gamma challenge: glaucoma grading from multi-modality images J Wu, H Fang, F Li, H Fu, F Lin, J Li, Y Huang, Q Yu, S Song, X Xu, Y Xu, ... Medical Image Analysis 90, 102938, 2023 | 77 | 2023 |
| Co-labeling for multi-view weakly labeled learning X Xu, W Li, D Xu, IW Tsang IEEE transactions on pattern analysis and machine intelligence 38 (6), 1113-1125, 2015 | 77 | 2015 |
| Beyond spatial pyramids: A new feature extraction framework with dense spatial sampling for image classification S Yan, X Xu, D Xu, S Lin, X Li Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 72 | 2012 |
| Optic disc classification by deep learning versus expert neuro‐ophthalmologists V Biousse, NJ Newman, RP Najjar, C Vasseneix, X Xu, DS Ting, LB Milea, ... Annals of neurology 88 (4), 785-795, 2020 | 57 | 2020 |
| Crowd counting with partial annotations in an image Y Xu, Z Zhong, D Lian, J Li, Z Li, X Xu, S Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 54 | 2021 |
| Accuracy of a deep learning system for classification of papilledema severity on ocular fundus photographs C Vasseneix, RP Najjar, X Xu, Z Tang, JL Loo, S Singhal, S Tow, L Milea, ... Neurology 97 (4), e369-e377, 2021 | 52 | 2021 |
| DeepLensNet: deep learning automated diagnosis and quantitative classification of cataract type and severity TDL Keenan, Q Chen, E Agrón, YC Tham, JHL Goh, X Lei, YP Ng, Y Liu, ... Ophthalmology 129 (5), 571-584, 2022 | 51 | 2022 |
| Learning federated visual prompt in null space for mri reconstruction CM Feng, B Li, X Xu, Y Liu, H Fu, W Zuo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 49 | 2023 |
| Image classification with densely sampled image windows and generalized adaptive multiple kernel learning S Yan, X Xu, D Xu, S Lin, X Li IEEE transactions on cybernetics 45 (3), 381-390, 2014 | 45 | 2014 |
Rick Siow Mong GOHA*STAR's Institute of High Performance Computing (IHPC)Verified email at ihpc.a-star.edu.sg
