2026
Rethink Human Learning Through the Lens of Machine Learning
Machine learning offers a surprisingly useful vocabulary for thinking more systematically about how humans learn, adapt, and make decisions.
Authors
Xi Fang
2025
Learning soft tissue deformation from incremental simulations
A data-driven framework that learns soft-tissue mechanics directly from incremental finite-element simulations, enabling more accurate CMF surgical planning.
2025
Cephalometric Landmark Detection Using Graph-and Image-Aware Network with Landmark Contrastive Regularization
A graph-and image-aware framework with contrastive regularization for robust cephalometric landmark detection under anatomical variability.
2024
Large language models diagnose facial deformity
We explore the potential of general-purpose large language models to interpret facial deformity descriptions and perform diagnostic reasoning in CMF.
2023
Spatiotemporal incremental mechanics modeling of facial tissue change
A spatiotemporal incremental mechanics model that captures continuous facial soft-tissue deformation for CMF surgical simulation.
2023
TriAxial Low-Rank Transformer for Efficient Medical Image Segmentation
A tri-axially factorized low-rank transformer that reduces computational cost while maintaining high segmentation accuracy. (Corresponding author: Xi Fang)
2021
Data augmentation for training deep neural networks
A comprehensive overview of data augmentation strategies tailored for medical image segmentation, radiotherapy, and robust deep learning.