News

Article published in Optica

We published ‘Dose-efficient X-ray Bragg ptychography imaging via a mixed sparse sampling strategy’ in Optica.

RESEARCH

Article published in Cell Reports Physical Science We introduce ENCODE, an implicit neural representation framework for scalable electron microscopy data compression that … RESEARCH Two papers accepted on multiplicative noise removal (SIIMS and JMIV) Two papers accepted by SIAM Journal on Imaging Sciences and Journal of Mathematical Imaging and Vision on unbiased risk … RESEARCH

Article published in npj Computational Materials

We introduce the Ptychographic Implicit Neural Representation (PtyINR), a self-supervised framework that simultaneously addresses the object- and probe-recovery problem in X-ray ptychography.

RESEARCH

Two articles published in IEEE ICASSP 2026

Our group presented two papers at ICASSP 2026 in Barcelona, Spain, covering topics in X-ray computed laminography and mm-wave FMCW radar DOA estimation.

RESEARCH

Article published in Patterns

We presents a data-driven solution for X-ray spectro-tomography that bypasses the need for manual markers or extensive training datasets, offering a robust, automated path to high-fidelity chemical …

RESEARCH

Commentary published in Photon Science

We discuss the transformative potential of Agentic AI, an emerging paradigm that automates entire research workflows to revolutionize material characterization in synchrotron science.

RESEARCH

Article published in IJCV

We propose a novel continuous low-rank factorization (CLoRF) by integrating two neural representations into the matrix factorization, capturing spatial and spectral information, respectively.

RESEARCH