Incremental learning meets transfer learning: Application to multi-site prostate mri segmentation C You, J Xiang, K Su, X Zhang, S Dong, J Onofrey, L Staib, JS Duncan International Workshop on Distributed, Collaborative, and Federated Learning …, 2022 | 54 | 2022 |
Knowledge distillation circumvents nonlinearity for optical convolutional neural networks J Xiang, S Colburn, A Majumdar, E Shlizerman Applied Optics 61 (9), 2173-2183, 2022 | 15 | 2022 |
Bi-maml: Balanced incremental approach for meta learning Y Zheng, J Xiang, K Su, E Shlizerman arXiv preprint arXiv:2006.07412, 2020 | 12 | 2020 |
Tkil: Tangent kernel optimization for class balanced incremental learning J Xiang, E Shlizerman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
TKIL: tangent kernel approach for class balanced incremental learning J Xiang, E Shlizerman arXiv preprint arXiv:2206.08492, 2022 | 7 | 2022 |
Compressed Meta-Optical Encoder for Image Classification A Wirth-Singh, J Xiang, M Choi, J Fröch, L Huang, E Shlizerman, ... CLEO: Fundamental Science, FF1J. 1, 2024 | 4 | 2024 |
Driver's Hand-Foot Coordination and Global-Regional Brain Functional Connectivity under Fatigue: Via Graph Theory and Explainable Artificial Intelligence Y Wu, W Li, J Zhang, B Tang, J Xiang, S Li, G Guo IEEE Transactions on Intelligent Vehicles, 2023 | 4 | 2023 |
Dn-ode: Data-driven neural-ode modeling for breast cancer tumor dynamics and progression-free survivals J Xiang, B Qi, M Cerou, W Zhao, Q Tang Computers in Biology and Medicine 180, 108876, 2024 | 2 | 2024 |
Data-Driven Neural-ODE Modeling for Breast Cancer Tumor Dynamics and Progression-Free Survival Predictions J Xiang, B Qi, M Cerou, W Zhao, Q Tang Advances in Neural Information Processing Systems Workshop: The Symbiosis of …, 2023 | 1* | 2023 |