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Jinlin Xiang
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2020 – today
- 2024
- [j2]Jinlin Xiang
, Bozhao Qi, Marc Cerou
DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivals. Comput. Biol. Medicine 180: 108876 (2024) - [j1]Yingzhang Wu
Driver's Hand-Foot Coordination and Global-Regional Brain Functional Connectivity Under Fatigue: Via Graph Theory and Explainable Artificial Intelligence. IEEE Trans. Intell. Veh. 9(2): 3493-3508 (2024) - [i5]Anna Wirth-Singh, Jinlin Xiang, Minho Choi, Johannes E. Fröch, Luocheng Huang, Shane Colburn, Eli Shlizerman, Arka Majumdar:
Compressed Meta-Optical Encoder for Image Classification. CoRR abs/2406.06534 (2024) - 2023
- [c2]Jinlin Xiang, Eli Shlizerman:
TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning. ICCV (Workshops) 2023: 3521-3531 - 2022
- [c1]Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan:
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. DeCaF/FAIR@MICCAI 2022: 3-16 - [i4]Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan:
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. CoRR abs/2206.01369 (2022) - [i3]Jinlin Xiang, Eli Shlizerman:
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning. CoRR abs/2206.08492 (2022) - 2021
- [i2]Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman:
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks. CoRR abs/2102.13323 (2021) - 2020
- [i1]Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman:
BI-MAML: Balanced Incremental Approach for Meta Learning. CoRR abs/2006.07412 (2020)
Coauthor Index
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last updated on 2024-09-10 01:07 CEST by the dblp team
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