| Foveation-based mechanisms alleviate adversarial examples Y Luo, X Boix, G Roig, T Poggio, Q Zhao arXiv preprint arXiv:1511.06292, 2015 | 215 | 2015 |
| -Softmax: Improving Intraclass Compactness and Interclass Separability of Features Y Luo, Y Wong, M Kankanhalli, Q Zhao IEEE transactions on neural networks and learning systems 31 (2), 685-699, 2019 | 58 | 2019 |
| Visual attention in multi-label image classification Y Luo, M Jiang, Q Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 16 | 2019 |
| Multi-camera saliency Y Luo, M Jiang, Y Wong, Q Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (10), 2057 …, 2015 | 16 | 2015 |
| Direction concentration learning: Enhancing congruency in machine learning Y Luo, Y Wong, M Kankanhalli, Q Zhao IEEE transactions on pattern analysis and machine intelligence 43 (6), 1928-1946, 2019 | 15 | 2019 |
| Artifact-tolerant clustering-guided contrastive embedding learning for ophthalmic images in glaucoma M Shi, A Lokhande, MS Fazli, V Sharma, Y Tian, Y Luo, LR Pasquale, ... IEEE Journal of Biomedical and Health Informatics 27 (9), 4329-4340, 2023 | 9 | 2023 |
| Learning to predict trustworthiness with steep slope loss Y Luo, Y Wong, MS Kankanhalli, Q Zhao Advances in Neural Information Processing Systems 34, 21533-21544, 2021 | 9 | 2021 |
| Label consistent quadratic surrogate model for visual saliency prediction Y Luo, Y Wong, Q Zhao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 7 | 2015 |
| Harvard glaucoma fairness: a retinal nerve disease dataset for fairness learning and fair identity normalization Y Luo, Y Tian, M Shi, LR Pasquale, LQ Shen, N Zebardast, T Elze, ... IEEE Transactions on Medical Imaging, 2024 | 6 | 2024 |
| Fairclip: Harnessing fairness in vision-language learning Y Luo, M Shi, MO Khan, MM Afzal, H Huang, S Yuan, Y Tian, L Song, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling Y Tian, M Shi, Y Luo, A Kouhana, T Elze, M Wang ICLR 2024, 2023 | 6 | 2023 |
| Harvard glaucoma detection and progression: A multimodal multitask dataset and generalization-reinforced semi-supervised learning Y Luo, M Shi, Y Tian, T Elze, M Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Learning to Predict Gradients for Semi-Supervised Continual Learning Y Luo, Y Wong, M Kankanhalli, Q Zhao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 5 | 2024 |
| -Reference Transfer Learning for Saliency Prediction Y Luo, Y Wong, MS Kankanhalli, Q Zhao ECCV 2020 12353, 502--519, 2020 | 5 | 2020 |
| Artifact correction in retinal nerve fiber layer thickness maps using deep learning and its clinical utility in glaucoma M Shi, JA Sun, A Lokhande, Y Tian, Y Luo, T Elze, LQ Shen, M Wang Translational Vision Science & Technology 12 (11), 12-12, 2023 | 4 | 2023 |
| Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling Y Luo, Y Tian, M Shi, T Elze, M Wang arXiv e-prints, arXiv: 2310.02492, 2023 | 4* | 2023 |
| RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps M Shi, Y Tian, Y Luo, T Elze, M Wang Medical Image Analysis 94, 103110, 2024 | 2 | 2024 |
| Evaluating longitudinal relationships between parental monitoring and substance use in a multi-year, intensive longitudinal study of 670 adolescent twins JD Alexander, SM Freis, SM Zellers, R Corley, A Ledbetter, RK Schneider, ... Frontiers in psychiatry 14, 1149079, 2023 | 2 | 2023 |
| FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling Y Tian, M Shi, Y Luo, A Kouhana, T Elze, M Wang The Twelfth International Conference on Learning Representations, 0 | 2 | |
| FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification Y Tian, C Wen, M Shi, MM Afzal, H Huang, MO Khan, Y Luo, Y Fang, ... arXiv preprint arXiv:2407.08813, 2024 | 1 | 2024 |
Yu TianHarvard UniversityVerified email at meei.harvard.edu
