Jinlin Xiang

According to our database, Jinlin Xiang authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing.

Mingfei Chen, Zijun Cui, Xiulong Liu, Jinlin Xiang, Caleb Zheng, Jingyuan Li, Eli Shlizerman

CoRR, June, 2025

Endoscopic Scoring and Localization in Unconstrained Clinical Trial Videos.

Jinlin Xiang, Hillol Sarker, Bozhao Qi, Ruisu Zhang, Roger Trullo, Salvatore Badalamenti, Maria Wiekowski, Annie Kruger, Etienne Pochet, Qi Tang, Wei Zhao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

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, Bangbei Tang, Jinlin Xiang, Shen Li, Gang Guo

IEEE Trans. Intell. Veh., February, 2024

Transferable polychromatic optical encoder for neural networks.

Minho Choi, Jinlin Xiang, Anna Wirth-Singh, Seung-Hwan Baek, Eli Shlizerman, Arka Majumdar

CoRR, 2024

Compressed Meta-Optical Encoder for Image Classification.

Anna Wirth-Singh, Jinlin Xiang, Minho Choi, Johannes E. Fröch, Luocheng Huang, Shane Colburn, Eli Shlizerman, Arka Majumdar

CoRR, 2024

DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivals.

Jinlin Xiang, Bozhao Qi, Marc Cerou, Wei Zhao, Qi Tang

Comput. Biol. Medicine, 2024

Advanced Transformer-Based System to Localize and Predict Atopic Dermatitis.

Ruisu Zhang, Wei Zhao, Bozhao Qi, Etienne Pochet, Yongjian Yang, Jinlin Xiang, Roger Trullo, Ohn Chow, Jimena Diaz De Leon, Qi Tang

Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024

2023

TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning.

Jinlin Xiang, Eli Shlizerman

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

2022

TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning.

Jinlin Xiang, Eli Shlizerman

CoRR, 2022

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

Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

2021

Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks.

Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman

CoRR, 2021

2020

BI-MAML: Balanced Incremental Approach for Meta Learning.

Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman

CoRR, 2020