Lincoln Linlin Xu

According to our database, Lincoln Linlin Xu authored at least 16 papers between 2025 and 2026.

Collaborative distances:

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

2026

A Novel Graph-Regulated Disentangling Mamba Model with Sparse Tokens for Enhanced Tree Species Classification from MODIS Time Series.

Motasem Alkayid, Zhengsen Xu, Saeid Taleghanidoozdoozan, Yimin Zhu, Megan Greenwood, Quinn Ledingham, Zack Dewis, Mabel Heffring, Naser El-Sheimy, Lincoln Linlin Xu

CoRR, May, 2026

Unmixing-Guided Spatial-Spectral Mamba with Clustering Tokens for Hyperspectral Image Classification.

Yimin Zhu, Lincoln Linlin Xu

CoRR, April, 2026

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data.

Mabel Heffring, Lincoln Linlin Xu

CoRR, March, 2026

mHC-HSI: Clustering-Guided Hyper-Connection Mamba for Hyperspectral Image Classification.

Yimin Zhu, Zack Dewis, Quinn Ledingham, Saeid Taleghanidoozdoozan, Mabel Heffring, Zhengsen Xu, Motasem Alkayid, Megan Greenwood, Lincoln Linlin Xu

CoRR, March, 2026

Clustering-Guided Spatial-Spectral Mamba for Hyperspectral Image Classification.

Zack Dewis, Yimin Zhu, Zhengsen Xu, Mabel Heffring, Saeid Taleghanidoozdoozan, Quinn Ledingham, Lincoln Linlin Xu

CoRR, January, 2026

White-Box mHC: Electromagnetic Spectrum-Aware and Interpretable Stream Interactions for Hyperspectral Image Classification.

Yimin Zhu, Lincoln Linlin Xu, Zhengsen Xu, Zack Dewis, Mabel Heffring, Saeid Taleghanidoozdoozan, Motasem Alkayid, Quinn Ledingham, Megan Greenwood

CoRR, January, 2026

Sparse Data Tree Canopy Segmentation: Fine-Tuning Leading Pretrained Models on Only 150 Images.

David Szczecina, Hudson Sun, Anthony Bertnyk, Niloofar Azad, Kyle Gao, Lincoln Linlin Xu

CoRR, January, 2026

Trustworthy Data-Driven Wildfire Risk Prediction and Understanding in Western Canada.

Zhengsen Xu, Lanying Wang, Sibo Cheng, Xue Rui, Kyle Gao, Yimin Zhu, Mabel Heffring, Zack Dewis, Saeid Taleghanidoozdoozan, Megan Greenwood, Motasem Alkayid, Quinn Ledingham, Hongjie He, Jonathan Li, Lincoln Linlin Xu

CoRR, January, 2026

BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction.

Zhengsen Xu, Sibo Cheng, Lanying Wang, Hongjie He, Wentao Sun, Jonathan Li, Lincoln Linlin Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Human-in-the-Loop Eider Duck Counting in Arctic Canada with an Open-Vocabulary Multi-Species Wildlife Detector.

Jayden Hsiao, Aryan Kalia, Zhonghao Zhang, Hudson Sun, Muhammed Patel, David A. Clausi, Lincoln Linlin Xu, Becky Segal, Joel Heath

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Diffusion Posterior Sampler for Hyperspectral Unmixing with Spectral Variability Modeling.

Yimin Zhu, Lincoln Linlin Xu

CoRR, December, 2025

Multitask GLocal OBIA-Mamba for Sentinel-2 Landcover Mapping.

Zack Dewis, Yimin Zhu, Zhengsen Xu, Mabel Heffring, Saeid Taleghanidoozdoozan, Kaylee Xiao, Motasem Alkayid, Lincoln Linlin Xu

CoRR, November, 2025

Knowledge-Aware Mamba for Joint Change Detection and Classification from MODIS Times Series.

Zhengsen Xu, Yimin Zhu, Zack Dewis, Mabel Heffring, Motasem Alkayid, Saeid Taleghanidoozdoozan, Lincoln Linlin Xu

CoRR, October, 2025

Bayesian Transformer for Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data.

Mabel Heffring, Lincoln Linlin Xu

CoRR, September, 2025

Sparse Deformable Mamba for Hyperspectral Image Classification.

Lincoln Linlin Xu, Yimin Zhu, Zack Dewis, Zhengsen Xu, Motasem Alkayid, Mabel Heffring, Saeid Taleghanidoozdoozan

CoRR, April, 2025

Sparse Deformable Mamba for Hyperspectral Image Classification.

Lincoln Linlin Xu, Yimin Zhu, Zack Dewis, Zhengsen Xu, Motasem Alkayid, Mabel Heffring, Saeid Taleghanidoozdoozan

IEEE Geosci. Remote. Sens. Lett., 2025