Principle Generative AI Research and Broader Application
I am an Assistant Professor in Computer Science and Engineering at the University of Tennessee at Chattanooga and a Visiting Research Collaborator at the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School.
Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation
Zihao Wang (Work as PI), Yuzhou Chen, Shaogang Ren · ICLR 2026
CT-ΔBench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language Models
Kegeng Tang, Jingbo Wang, Shaogang Ren, Zihao Wang (Work as PI) · COLM 2026
Building principled learning systems for the real world.
My research develops the theory and methods of backward stochastic processes for generative machine learning, and applies them to medical imaging, computational imaging, and inverse problems across engineering and the natural sciences.
Before joining UTC, I completed my postdoctoral training as a Research Fellow at the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and Harvard Medical School (2022–2024). I received my PhD with highest honors from Université Côte d'Azur / Inria, where my dissertation focused on deep generative learning for medical data processing, analysis, and modeling.
I lead Laplace Lab, an open research group for principled AI. Follow our work on GitHub.
Interested in a research collaboration?
I welcome conversations with students, clinicians, researchers, and industry partners working at the intersection of generative AI, imaging, and decision systems.
