Jinlin Xiang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Transfer Learning

Incremental Learning

Font Recognition

Graph Based Representations

Top Venues

IEEE Trans. Intell. Veh.

Comput. Biol. Medicine

ICCV (Workshops)

Publications

Jinlin Xiang, Bozhao Qi, Marc Cerou, Wei Zhao, Qi Tang
DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivals. Comput. Biol. Medicine 180 (2024)
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 (2024)
Yingzhang Wu, Wenbo Li, Jie Zhang, Bangbei Tang, Jinlin Xiang, Shen Li, Gang Guo
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) (2024)
Jinlin Xiang, Eli Shlizerman
TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning. ICCV (Workshops) (2023)
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)
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 (2022)
Jinlin Xiang, Eli Shlizerman
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning. CoRR (2022)
Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks. CoRR (2021)
Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman
BI-MAML: Balanced Incremental Approach for Meta Learning. CoRR (2020)