VIMTS: Variational-based Imputation for Multi-modal Time Series. - Xiaohu Zhao; Kebin Jia; Benjamin H. Letcher; Jennifer H. Fair; Yiqun Xie; Xiaowei Jia (IEEE Big Data, 2022)

Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification. - Zhongliang Zhou; Nathaniel P. Hitt; Benjamin H. Letcher; Weili Shi; Sheng Li 001 (IEEE Big Data, 2022)

Towards Continuous Streamflow Monitoring with Time-Lapse Cameras and Deep Learning. - Amrita Gupta; Tony Chang; Jeffrey Walker; Benjamin H. Letcher (COMPASS, 2022)

Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years. - Weili Shi; Zhongliang Zhou; Benjamin H. Letcher; Nathaniel P. Hitt; Yoichiro Kanno; Ryo Futamura; Osamu Kishida; Kentaro Morita; Sheng Li 001 (AI (1), 2023)

CGS: Coupled Growth and Survival Model with Cohort Fairness. - Erhu He; Yue Wan; Benjamin H. Letcher; Jennifer H. Fair; Yiqun Xie; Xiaowei Jia (IJCAI, 2023)

Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams. - Xiaohu Zhao; Kebin Jia; Benjamin H. Letcher; Jennifer H. Fair; Xiaowei Jia (Inf. Fusion, 2024)