Physics-based AI
Topics include: Physics-informed learning, hybrid physical–neural models, and structured priors for imaging inverse problems.
Physics-informed neural network for mapping vascular and tissue dynamics using laser speckle contrast imaging
Physics-informed neural network for mapping vascular and tissue dynamics using laser speckle contrast imaging
Shuying Li, Rockwell Tang, Bingxue Liu, Victoria Krepulec, Will Donovan, David Boas, Xiaojun Cheng, and Lei Tian
Neurophotonics, Vol. 13, Issue 3, 035012, 2026.
An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction
An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction
Sina Moayed Baharlou, Muhammad Waleed Khalid, Guli Gulinihali, Jeongho Ha, Liyi Hsu, Samantha C. Lewis, Lei Tian, Yeshaiahu Fainman, Alexander V. Sergienko, and Abdoulaye Ndao
Nature Communications 17, 6340 (2026).
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
J Alido, T Li, Y Sun, L Tian
NeurIPS 2025.
⭑ Github Project
