| 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 | 870 | 2016 |
| Stochastic network calculus Y Jiang, Y Liu Springer 1, XIX, 232, 2008 | 619 | 2008 |
| Anomalynet: An anomaly detection network for video surveillance JT Zhou, J Du, H Zhu, X Peng, Y Liu, RSM Goh IEEE Transactions on Information Forensics and Security 14 (10), 2537-2550, 2019 | 340 | 2019 |
| 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 | 296 | 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 | 229 | 2018 |
| Medical image segmentation using squeeze-and-expansion transformers S Li, X Sui, X Luo, X Xu, Y Liu, R Goh IJCAI 2021, 2021 | 198 | 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 | 126 | 2022 |
| 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 | 123 | 2021 |
| 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 | 93 | 2023 |
| Inf2vec: Latent representation model for social influence embedding S Feng, G Cong, A Khan, X Li, Y Liu, YM Chee 2018 IEEE 34th International Conference on Data Engineering (ICDE), 941-952, 2018 | 88 | 2018 |
| Sc2net: Sparse lstms for sparse coding JT Zhou, K Di, J Du, X Peng, H Yang, SJ Pan, I Tsang, Y Liu, Z Qin, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 72 | 2018 |
| Multi-instance multi-scale CNN for medical image classification S Li, Y Liu, X Sui, C Chen, G Tjio, DSW Ting, RSM Goh Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 66 | 2019 |
| 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 | 65* | 2020 |
| Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images Y Wang, Y Feng, L Zhang, JT Zhou, Y Liu, RSM Goh, L Zhen Medical Image Analysis 81, 102535, 2022 | 64 | 2022 |
| Diverse data augmentation with diffusions for effective test-time prompt tuning CM Feng, K Yu, Y Liu, S Khan, W Zuo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 61 | 2023 |
| Fundamental calculus on generalized stochastically bounded bursty traffic for communication networks Y Jiang, Q Yin, Y Liu, S Jiang Computer Networks 53 (12), 2011-2021, 2009 | 56 | 2009 |
| 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 | 51 | 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 | 50 | 2022 |
| EMRShare: A cross-organizational medical data sharing and management framework using permissioned blockchain Z Xiao, Z Li, Y Liu, L Feng, W Zhang, T Lertwuthikarn, RSM Goh 2018 IEEE 24th International Conference on Parallel and Distributed Systems …, 2018 | 48 | 2018 |
| A calculus for stochastic QoS analysis Y Liu, CK Tham, Y Jiang Performance Evaluation 64 (6), 547-572, 2007 | 45 | 2007 |
