FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation. - Zhewei Liu; Lipai Huang; Chao Fan; Ali Mostafavi (CoRR, 2023)

MaxFloodCast: Ensemble Machine Learning Model for Predicting Peak Inundation Depth And Decoding Influencing Features. - Cheng-Chun Lee; Lipai Huang; Federico Antolini; Matthew Garcia; Andrew Juanb; Samuel D. Brody; Ali Mostafavi (CoRR, 2023)

FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation. - Chia-Fu Liu; Lipai Huang; Kai Yin; Samuel D. Brody; Ali Mostafavi (CoRR, 2024)

High-Resolution Flood Probability Mapping Using Generative Machine Learning with Large-Scale Synthetic Precipitation and Inundation Data. - Lipai Huang; Federico Antolini; Ali Mostafavi; Russell Blessing; Matthew Garcia; Samuel D. Brody (CoRR, 2024)

Depth-based adaptable image layer prediction using bidirectional depth semantic fusion. - Jie Lin; Zongwen Fan; Lipai Huang; Kaifeng Huang 005 (Vis. Comput., 2024)

Self-supervised bi-directional mapping generative adversarial network for arbitrary-time longitudinal interpolation of missing data. - Jie Lin; Dongdong Wu; Lipai Huang (Biomed. Signal Process. Control., 2025)

DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management. - Kai Yin; Xiangjue Dong; Chengkai Liu; Lipai Huang; Yiming Xiao; Zhewei Liu; Ali Mostafavi; James Caverlee (CoRR, 2025)