| 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 | 329 | 2016 |
| 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 | 145 | 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 | 113 | 2013 |
| 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 | 75 | 2018 |
| 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 | 70 | 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 European Conference on Computer Vision, 473-487, 2012 | 59 | 2012 |
| 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 | 46 | 2017 |
| 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 | 43 | 2015 |
| 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 | 35 | 2020 |
| 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 | 34 | 2014 |
| Transfer hashing with privileged information JT Zhou, X Xu, SJ Pan, IW Tsang, Z Qin, RSM Goh arXiv preprint arXiv:1605.04034, 2016 | 31 | 2016 |
| Action and event recognition in videos by learning from heterogeneous web sources L Niu, X Xu, L Chen, L Duan, D Xu IEEE transactions on neural networks and learning systems 28 (6), 1290-1304, 2016 | 22 | 2016 |
| Handling ambiguity via input-output kernel learning X Xu, IW Tsang, D Xu 2012 IEEE 12th International Conference on Data Mining, 725-734, 2012 | 9 | 2012 |
| Simple and efficient learning using privileged information X Xu, JT Zhou, IW Tsang, Z Qin, RSM Goh, Y Liu arXiv preprint arXiv:1604.01518, 2016 | 6 | 2016 |
| Learning the object location, scale and view for image categorization with adapted classifier S Yan, X Xu, Q Liu Information Sciences 281, 661-673, 2014 | 3 | 2014 |
| Video concept detection using support vector machine with augmented features X Xu, D Xu, IW Tsang 2010 Fourth Pacific-Rim Symposium on Image and Video Technology, 381-385, 2010 | 2 | 2010 |
| Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study YC Tham, A Anees, L Zhang, JHL Goh, TH Rim, S Nusinovici, H Hamzah, ... The Lancet Digital Health 3 (1), e29-e40, 2021 | 1 | 2021 |
| 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 | 1 | 2020 |
| Robust text detection in natural scenes using text geometry and visual appearance SY Yan, XX Xu, QS Liu International Journal of Automation and Computing 11 (5), 480-488, 2014 | 1 | 2014 |
| Interpretation of artificial intelligence studies for the ophthalmologist TE Tan, X Xu, Z Wang, Y Liu, DSW Ting Current Opinion in Ophthalmology 31 (5), 351-356, 2020 | | 2020 |
Dong Xu, IEEE Fellow, Chair in Comp...University of SydneyVerified email at sydney.edu.au
