Bio

I am Yijie Zhang, a Ph.D. candidate at UCLA with an anticipated completion in 2025. Prior to my Ph.D., I earned an M.S. from UCLA in May 2020 and a B.Eng. from Zhejiang University in June 2018. I am actively seeking roles that offer dynamic challenges in the practical application of advanced machine learning and deep learning technologies.

Research Interests: My research focuses on the application of generative models in dual-task scenarios, such as super-resolution and cross-imaging modality translation. I am also passionate about machine learning, computational imaging, and computational microscopy. Additionally, I explore machine learning applications in numerical computing, including fluid flow optimization and control.

News

Oct. 2024
Our paper, "Virtual staining of label-free tissue in imaging mass spectrometry," is now available on arXiv and under review. [paper]
Oct. 2024
Our paper, "Super-resolved Virtual Staining of Label-free Tissue Using Diffusion Models," is now available on arXiv and under review. [paper]
Sep. 2024
Our paper, "Virtual Birefringence Imaging and Histological Staining of Amyloid Deposits in Label-free Tissue Using Autofluorescence Microscopy and Deep Learning," has been published in Nature Communications. [paper]
Feb. 2024
Our paper "Deep Learning-enabled Virtual Histological Staining of Biological Samples" received the 2023 top downloaded paper award at Light: Science & Applications.
Oct. 2023
Our review paper "Artificial intelligence-enabled quantitative phase imaging methods for life sciences" is published on Nature Methods.

Selected Publications

Virtual staining of label-free tissue in imaging mass spectrometry
Yijie Zhang*, Luzhe Huang*, Nir Pillar, et al.
arXiv (under peer review)
Super-resolved virtual staining of label-free tissue using diffusion models
Yijie Zhang*, Luzhe Huang*, Nir Pillar, Yuzhu Li, Hanlong Chen, Aydogan Ozcan
arXiv (under peer review in Nature Communications)
Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
Xilin Yang, Bijie Bai, Yijie Zhang, et al.
Nature Communications 2024
Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning
Tairan Liu, Yuzhu Li, Hatice Koydemir, Yijie Zhang, et al.
Nature Biomedical Engineering 2023
Virtual impactor-based label-free pollen detection using holography and deep learning
Yi Luo*, Yijie Zhang*, Tairan Liu, Alan Yu, Yichen Wu, Aydogan Ozcan
ACS sensors 2022
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Yijie Zhang, Luzhe Huang, Tairan Liu, et al.
Intelligent Computing 2022
Deep learning-based transformation of H&E stained tissues into special stains
Kevin de Haan, Yijie Zhang, Jonathan E Zuckerman, et al.
Nature communications 2021
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
Yijie Zhang, Tairan Liu, Manmohan Singh, Ege Çetintaş, Yilin Luo, Yair Rivenson, Kirill V Larin, Aydogan Ozcan
Light: Science & Applications 2021
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
Yijie Zhang, Kevin de Haan, Yair Rivenson, Jingxi Li, Apostolos Delis, Aydogan Ozcan
Light: Science & Applications 2020