About Me

My name is Kai Ye, and I recently completed my Ph.D. in Electrical and Computer Engineering at the University of Pittsburgh, advised by Dr. Liang Zhan. My research focuses on brain neuroimaging, AI for healthcare, and trustworthy machine learning.

My work has led to first-author publications at AAAI and MICCAI, including an AAAI oral presentation and a MICCAI oral presentation that received the MICCAI STAR Award. I have also collaborated with Prof. Paul M. Thompson and Prof. Heng Huang on multimodal brain MRI and interpretable models for neurodegenerative disease.

Research interests

• Brain Neuroimaging (functional & structural MRI)
• AI for healthcare
• Trustworthy machine learning / LLMs
• Multimodal representation learning

Selected recent work

• CVPR 2026 – Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
• AAAI 2024 (oral) – Uncertainty Regularized Evidential Regression
• Neural Networks 2024 – BPEN: Brain Posterior Evidential Network for Trustworthy Brain Imaging Analysis
• MICCAI 2023 (oral, STAR Award) – Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

My CV is available on the CV page.