Xinxing Xu
Xinxing Xu
Scientist, Institute of High Performance Computing (IHPC), A*STAR, Singapore
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Soft margin multiple kernel learning
X Xu, IW Tsang, D Xu
IEEE transactions on neural networks and learning systems 24 (5), 749-761, 2013
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
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
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
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
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
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
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
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
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
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
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
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
Transfer hashing with privileged information
JT Zhou, X Xu, SJ Pan, IW Tsang, Z Qin, RSM Goh
arXiv preprint arXiv:1605.04034, 2016
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
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