Latest News

Our journal article on “High-fidelity reconstruction of porous cathode microstructures from FIB-SEM data with deep learning“ has been published on Applied Physics Letters. We utilize fused secondary and backscattered electron images to reconstruct 3D microstructures of porous cathodes with high fidelity.

Prof. Jizhou Li was elected as the Senior Member of IEEE. Senior Member is the highest grade for which IEEE members can apply.

Our journal article on “Compression of Battery X-Ray Tomography Data with Machine Learning“ has been published on Chinese Physics Letters. With physics-informed representation learning, we introduce a data compression method tailored for battery X-ray tomography.

A brief review on our achievements between Aug 2022 and Aug 2024.

Our journal article on “Dopamine-mediated interactions between short- and long-term memory dynamics“ has been published on Nature.

We have received the Early Career Scheme (ECS) grant from Research Grants Council (RGC) of Hong Kong. The project is about developing computational X-ray microscopy for advanced battery characterization.

Our journal article on “Deep Learning for Spectroscopic X-ray Nano-Imaging Denoising“ has been published on Advanced Intelligent Systems.

Our undergraduate group members Tingyou Li and Zixin Xu have been awarded the Best Capstone Project Award for their project on “Coordinate-based Neural Network for Fourier Phase Retrieval“ by School of Data Science, City University of Hong Kong.

Journal article on “A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images” is published on IEEE Journal of Biomedical and Health Informatics.

Conference article on “Two-phase parametric registration for retinal images” is accepted by 2024 IEEE International Conference on Multimedia and Expo (ICME), Niagra Falls, Canada from July 15 to 19, 2024.