Zihao Wang, PhD (Inria'21) · 王子豪

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.

Recent news
2026

I will serve ICLR as an Area Chair.

2026

Applied AI and Industry Partnership Initiative · Lead PI

2026

PhD Candidate Kegeng Tang’s CT-Bench accepted at COLM 2026

2026

New work on backward SDE-based diffusion accepted at ICML 2026

2026

BlochShift accepted at IEEE IVMSP 2026

2026

Multi-modal graph transfer learning published at WWW 2026

2026

Adaptive Domain Shift accepted at ICLR 2026

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Selected recent work
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About

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.

Work with me

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.

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