Publications

2023

1. ICCV

   TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning

   Jinlin Xiang, and Eli Shlizerman

   In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023

   Poster
2. NeurIPS DLDE

   Data-Driven Neural-ODE Modeling for Breast Cancer Tumor Dynamics and Progression-Free Survival Predictions

   Jinlin Xiang, Bozhao Qi, Qi Tang, and 2 more authors

   In The Symbiosis of Deep Learning and Differential Equations III 2023

   Poster
3. IEEE

   Driver’s Hand-Foot Coordination and Global-Regional Brain Functional Connectivity under Fatigue: Via Graph Theory and Explainable Artificial Intelligence

   Yingzhang Wu, Wenbo Li, Jie Zhang, and 4 more authors

   IEEE Transactions on Intelligent Vehicles 2023

2022

1. MICCAI-DECAF

   Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

   Chenyu You, Jinlin Xiang, Kun Su, and 5 more authors

   In Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health 2022

   Code
2. Applied Optics

   Knowledge distillation circumvents nonlinearity for optical convolutional neural networks

   Jinlin Xiang, Shane Colburn, Arka Majumdar, and 1 more author

   Applied Optics 2022

   HTML Code

2020

1. Bi-maml: Balanced incremental approach for meta learning

   Yang Zheng, Jinlin Xiang, Kun Su, and 1 more author

   arXiv preprint arXiv:2006.07412 2020

   arXiv Bib Supp

   @article{zheng2020bi,
     title = {Bi-maml: Balanced incremental approach for meta learning},
     author = {Zheng, Yang and Xiang, Jinlin and Su, Kun and Shlizerman, Eli},
     journal = {arXiv preprint arXiv:2006.07412},
     year = {2020},
   }