| Brain tumor segmentation on MRI with missing modalities Y Shen, M Gao Information Processing in Medical Imaging: 26th International Conference …, 2019 | 84 | 2019 |
| Scribble-based hierarchical weakly supervised learning for brain tumor segmentation Z Ji, Y Shen, C Ma, M Gao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 83 | 2019 |
| Dynamic routing on deep neural network for thoracic disease classification and sensitive area localization Y Shen, M Gao Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 58 | 2018 |
| Meta-learning without data via wasserstein distributionally-robust model fusion Z Wang, X Wang, L Shen, Q Suo, K Song, D Yu, Y Shen, M Gao Uncertainty in Artificial Intelligence, 2045-2055, 2022 | 26 | 2022 |
| Progressive voronoi diagram subdivision enables accurate data-free class-incremental learning C Ma, Z Ji, Z Huang, Y Shen, M Gao, J Xu ICLR, 2023 | 19 | 2023 |
| Fedmm: A communication efficient solver for federated adversarial domain adaptation Y Shen, J Du, H Zhao, Z Ji, C Ma, M Gao Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 18* | 2023 |
| Continual Domain Adversarial Adaptation via Double-Head Discriminators Y Shen, Z Ji, C Ma, M Gao Proceedings of the 27th International Conference on Artificial Intelligence …, 2024 | 1 | 2024 |
| LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation MA Hashemi, Z Li, M Chauhan, Y Shen, A Satbhai, MB Ali, M Gao, ... arXiv preprint arXiv:2109.04993, 2021 | 1 | 2021 |
| Method and system for federated adversarial domain adaptation J Du, Y Shen, M Gao, B Zhang US Patent US11443245B1, 2022 | | 2022 |
| Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning C Ma, Z Ji, Z Huang, Y Shen, M Gao, J Xu arXiv preprint arXiv:2207.14202, 2022 | | 2022 |
| A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning Y Shen, Z Ji, C Ma, M Gao arXiv preprint arXiv:2205.02371, 2022 | | 2022 |
| Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model Y Shen, F Yang, M Gao, W Dong arXiv preprint arXiv:2205.02332, 2022 | | 2022 |
| LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation M Abuzar Shaikh, Z Ji, D Moukheiber, Y Shen, S Srihari, M Gao arXiv e-prints, arXiv: 2109.04993, 2021 | | 2021 |
| An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation Y Shen, Z Ji, M Gao Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | | 2020 |
| Department of Computer Science and Engineering, University at Buffalo, Amherst, NY, USA yshen22@ buffalo. edu Y Shen, M Gao Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | | 2018 |
| When Renewable Energy Meets Building Thermal Mass: A Real-time Load Management Scheme Y Shen, Z Sun, Q Wang arXiv preprint arXiv:1802.08047, 2018 | | 2018 |
| A Stochastic Gradient Langevin Dynamics Algorithm For Noise Intrinsic Federated Learning Y Shen, J Du, C Ma, M Gao, B Zhang | | |
