Published a paper in Nature Communications on learning-based speckle analysis for powder particle size distribution estimation (03/2023)
Published in Light: Science and Applications on dynamical machine learning for reconstructing dense-layered phase objects (04/2021)
Published in Optics Express on recurrent neural networks for imaging transparent objects through dynamic scattering media (01/2021)
Published in Cell: Patterns on deep-learning-based nationwide COVID-19 spread prediction (11/2020)
Published in Light: Science and Applications on deep learning for high-fidelity phase retrieval in low-photon regimes (03/2020)
Multiple papers in Optics Express and arXiv on computational imaging, artifact analysis in perceptual loss-trained networks, coherent modulation imaging, etc.
Supervised successful PhD and Master’s theses by students including Qihang Zhang, Iksung Kang, and Mo Deng