Lipai Huang

According to our database, Lipai Huang authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

R2RAG-Flood: A reasoning-reinforced training-free retrieval augmentation generation framework for flood damage nowcasting.

Lipai Huang, Kai Yin, Chia-Fu Liu, Ali Mostafavi

CoRR, February, 2026

2025

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

Comput. Aided Civ. Infrastructure Eng., 2025

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Depth-based adaptable image layer prediction using bidirectional depth semantic fusion.

Jie Lin, Zongwen Fan, Lipai Huang, Kaifeng Huang

Vis. Comput., October, 2024

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

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

FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation.

Zhewei Liu, Lipai Huang, Chao Fan, Ali Mostafavi

CoRR, 2023