Deep Learning Approach for Data and Computing Efficient Situational Assessment and Awareness in Human Assistance and Disaster Response and Battlefield Damage Assessment Applications. - Jie Wei; Weicong Feng; Erik Blasch; Philip Morrone; Erika Ardiles-Cruz; Alex Aved (DDDAS, 2022)

Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment. - Jie Wei; Weicong Feng; Erik Blasch; Erika Ardiles-Cruz; Haibin Ling (CoRR, 2023)

Earthen Embankment Monitoring Using LiDAR Data by Randomized Consensus of Topological Data Analysis. - Austin R. J. Downey; Jie Wei; A. Q. M. Zohuruzzaman; Paul T. Schrader; Sadik Khan; Jason D. Bakos; Weicong Feng; Erik Blasch; Erika Ardiles-Cruz (DDDAS/Infosymbiotics, 2024)

DDDAS Probability Learning for Natural Disaster Change Detection. - Weicong Feng; Adarsh Agrawal; Haibin Ling; Erik Blasch; Erika Adiles-Cruz; Paul T. Schrader; Jie Wei (DDDAS/Infosymbiotics, 2024)