40 citations · 43 across the 4 of their papers we have counts for
4 papers
Domain adaptation of large language models for geotechnical applications
Lei Fan, Fangxue Liu, Cheng Chen
The rapid advancement of large language models (LLMs) is transforming opportunities in geotechnical engineering, where workflows rely on complex, text-rich data. While general-purp…
Interpretability of Statistical, Machine Learning, and Deep Learning Models for Landslide Susceptibility Mapping in Three Gorges Reservoir Area
Cheng Chen, Lei Fan
Landslide susceptibility mapping (LSM) is crucial for identifying high-risk areas and informing prevention strategies. This study investigates the interpretability of statistical,…
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
Qinfeng Zhu, Yuanzhi Cai, Yuan Fang +4
High-resolution remotely sensed images pose a challenge for commonly used semantic segmentation methods such as Convolutional Neural Network (CNN) and Vision Transformer (ViT). CNN…
Selection of contributing factors for predicting landslide susceptibility using machine learning and deep learning models
Cheng Chen, Lei Fan
Landslides are a common natural disaster that can cause casualties, property safety threats and economic losses. Therefore, it is important to understand or predict the probability…