| Large-scale long-tailed recognition in an open world Z Liu, Z Miao, X Zhan, J Wang, B Gong, SX Yu CVPR 2019, 2537-2546, 2019 | 1200 | 2019 |
| Orthogonal convolutional neural networks J Wang, Y Chen, R Chakraborty, SX Yu CVPR 2020, 11505-11515, 2020 | 213 | 2020 |
| Point to set similarity based deep feature learning for person re-identification S Zhou, J Wang, J Wang, Y Gong, N Zheng CVPR 2017, 3741-3750, 2017 | 185 | 2017 |
| Insights and approaches using deep learning to classify wildlife Z Miao, KM Gaynor, J Wang, Z Liu, O Muellerklein, MS Norouzzadeh, ... Scientific Reports 9 (1), 8137, 2019 | 127 | 2019 |
| A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images J Wang, TN Yeh, R Chakraborty, SX Yu, MC Lin Translational Vision Science & Technology 8 (37), 2019 | 54 | 2019 |
| Deep ranking model by large adaptive margin learning for person re-identification J Wang, S Zhou, J Wang, Q Hou Pattern Recognition 74, 241-252, 2018 | 53 | 2018 |
| 3d shape reconstruction from free-hand sketches J Wang, J Lin, Q Yu, R Liu, Y Chen, SX Yu ECCV 2022, 2022 | 40 | 2022 |
| Transformer for 3D Point Clouds J Wang, R Chakraborty, XY Stella IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 (8 …, 2021 | 37* | 2021 |
| Quantifying meibomian gland morphology using artificial intelligence J Wang, S Li, TN Yeh, R Chakraborty, AD Graham, XY Stella, MC Lin Optometry and Vision Science 98 (9), 1094-1103, 2021 | 30 | 2021 |
| Language-guided global image editing via cross-modal cyclic mechanism W Jiang, N Xu, J Wang, C Gao, J Shi, Z Lin, S Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 21 | 2021 |
| Sur-real: Frechet mean and distance transform for complex-valued deep learning R Chakraborty, J Wang, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 19 | 2019 |
| Open Long-Tailed Recognition in a Dynamic World Z Liu, Z Miao, X Zhan, J Wang, B Gong, SX Yu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 14 | 2022 |
| Successive embedding and classification loss for aerial image classification J Wang, P Virtue, SX Yu arXiv preprint arXiv:1712.01511, 2017 | 10* | 2017 |
| Compact and optimal deep learning with recurrent parameter generators J Wang, Y Chen, SX Yu, B Cheung, Y LeCun WACV 2023, 3900-3910, 2023 | 8* | 2023 |
| Predicting demographics from meibography using deep learning J Wang, AD Graham, SX Yu, MC Lin Scientific reports 12 (1), 15701, 2022 | 4 | 2022 |
| Unsupervised scene sketch to photo synthesis J Wang, S Jeon, SX Yu, X Zhang, H Arora, Y Lou European Conference on Computer Vision, 2022 | 4 | 2022 |
| Lifestyle and behaviors: predicting clinical signs and symptoms with machine learning MC Lin, AD Graham, T Kothapalli, J Wang, J Ding, V Tse, XY Stella Investigative Ophthalmology & Visual Science 64 (8), 2880-2880, 2023 | 3 | 2023 |
| Meibomian gland morphology and ghost prediction with deep learning J Wang, S Li, TN Yeh, R Chakraborty, S Yu, MC Lin Investigative Ophthalmology & Visual Science 61 (7), 2634-2634, 2020 | 3 | 2020 |
| A Machine Learning Approach to Predicting Dry Eye-Related Signs, Symptoms and Diagnoses from Meibography Images AD Graham, T Kothapalli, J Wang, J Ding, V Tse, P Asbell, S Yu, MC Lin Heliyon, 2024 | 2* | 2024 |
| Tracking the Dynamics of the Tear Film Lipid Layer T Kothapalli, C Shou, J Ding, J Wang, AD Graham, T Svitova, SX Yu, ... Med NeurIPS 2022, 2022 | 1 | 2022 |
Stella X. YuProfessor of EECS, University of MichiganVerified email at umich.edu
