Jinlin Xiang

14 papers A 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A conf
Endoscopic Scoring and Localization in Unconstrained Clinical Trial Videos.
WACV
Jinlin Xiang, Hillol Sarker, Bozhao Qi, Ruisu Zhang, Roger Trullo, Salvatore Badalamenti, Maria Wiekowski, Annie Kruger, Etienne Pochet, Qi Tang, Wei Zhao
2025 J jnl
Neural Tangent Knowledge Distillation for Optical Convolutional Networks.
CoRR
Jinlin Xiang, Minho Choi, Yubo Zhang, Zhihao Zhou, Arka Majumdar, Eli Shlizerman
2025 J jnl
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing.
CoRR
Mingfei Chen, Zijun Cui, Xiulong Liu, Jinlin Xiang, Caleb Zheng, Jingyuan Li, Eli Shlizerman
2024 — conf
Advanced Transformer-Based System to Localize and Predict Atopic Dermatitis.
CVMI
Ruisu Zhang, Wei Zhao, Bozhao Qi, Etienne Pochet, Yongjian Yang, Jinlin Xiang, Roger Trullo, Ohn Chow, Jimena Diaz De Leon, Qi Tang
2024 J jnl
Compressed Meta-Optical Encoder for Image Classification.
CoRR
Anna Wirth-Singh, Jinlin Xiang, Minho Choi, Johannes E. Fröch, Luocheng Huang, Shane Colburn, Eli Shlizerman, Arka Majumdar
2024 J jnl
DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivals.
Comput. Biol. Medicine
Jinlin Xiang, Bozhao Qi, Marc Cerou, Wei Zhao, Qi Tang
2024 J jnl
Driver's Hand-Foot Coordination and Global-Regional Brain Functional Connectivity Under Fatigue: Via Graph Theory and Explainable Artificial Intelligence.
IEEE Trans. Intell. Veh.
Yingzhang Wu, Wenbo Li, Jie Zhang, Bangbei Tang, Jinlin Xiang, Shen Li, Gang Guo
2024 J jnl
Transferable polychromatic optical encoder for neural networks.
CoRR
Minho Choi, Jinlin Xiang, Anna Wirth-Singh, Seung-Hwan Baek, Eli Shlizerman, Arka Majumdar
2023 — conf
TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning.
ICCV (Workshops)
Jinlin Xiang, Eli Shlizerman
2022 — conf
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation.
DeCaF/FAIR@MICCAI
Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan
2022 J jnl
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation.
CoRR
Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan
2022 J jnl
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning.
CoRR
Jinlin Xiang, Eli Shlizerman
2021 J jnl
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks.
CoRR
Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman
2020 J jnl
BI-MAML: Balanced Incremental Approach for Meta Learning.
CoRR
Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman