Welcome to Jizhou’s Homepage
Welcome to Jizhou’s Homepage#
What’s New
[2024-01-04] Grant Our proposal on developing high spatiotemporal resolution scanning electron microscopy for multimodal dynamic imaging is awarded as Collaborative Research Fund (CRF) by the Research Grants Council (RGC) of Hong Kong.
2023[2023-12-27] Publication Journal article on “Nonnegative matrix functional factorization for hyperspectral unmixing with non-uniform spectral sampling” is available online at IEEE Transactions on Geoscience and Remote Sensing.
[2023-12-19] Publication Review article on “Multi-modal X-ray microscopy for chemical analysis” is available online at TrAC Trends in Analytical Chemistry.
[2023-12-14] Publication Two conference papers on “Coordinate-based neural network for Fourier phase retrieval” and “Boosting of implicit neural representation-based image denoiser” have been accepted by ICASSP 2024.
[2023-12-08] Publication Journal article on “Stabilizing Ni-rich layered cathode for high-voltage operation through hierarchically heterogeneous doping with concentration gradient” has been published in Materials Today Chemistry.
[2023-12-02] Publication Journal article on “Robust retrieval of material chemical states in X-ray microspectroscopy” has been published in Optics Express.
[2023-11-28] Publication Journal article on “Nanoscale chemical imaging with structured X-ray illumination” has been published in Proceedings of the National Academy of Sciences (PNAS).
[2023-08-24] Grant Our proposal on developing multimodal computational X-ray microscopy for battery degradation study is awarded as the NSFC Young Scientists Fund by National Natural Science Foundation of China.
[2023-02-16] Publication Conference article on “Subspace modeling enabled high-sensitivity X-ray chemical imaging” has been accepted by ICASSP 2023.
[2023-02-02] Grant Our proposal on developing self-supervised algorithms for X-ray microscopy is awarded by City University of Hong Kong.
[2023-01-06] Grant Our proposal on developing physics-driven machine learning algorithms for multi-frame imaging received the kind support from the Chow Sang Sang Group Research Fund.
2022[2022-06-22] Award Our paper “Learning to deblur using light field generated and real defocus images” is selected in the CVPR 2022 Best Paper Award Finalist by IEEE Computer Science Society.
[2022-05-09] Publication Journal article on “Additive engineering for robust interphases to stabilize high-Ni layered structures at ultra-high voltage of 4.8V” has been published in Nature Energy.
[2022-04-28] Publication Journal article on “Dynamics of particle network in composite battery cathodes” has been published in Science.
[2022-02-18] Award Jizhou received the Early Career Travel Awards for attending SIAM Conference on Imaging Science (IS22), March 21-25, 2022, awarded by Society for Industrial and Applied Mathematics.
Jizhou Li is currently an Assistant Professor at the School of Data Science, City University of Hong Kong. He was a Postdoctoral Scholar at Stanford University after receiving his Ph.D. in Electronic Engineering from The Chinese University of Hong Kong.
With a solid foundation in mathematics and engineering, Dr. Li has consistently pursued advancements in the
field of imaging data science, advancing both the methodologies and applications of various
imaging techniques, including optical, X-ray, and electron microscopy. While Dr. Li’s work aims to push the
boundaries of various scientific domains, fostering accelerated interdisciplinary research and discovery (AI for Science), he also emphasizes its tangible impact in the industrial sector, ensuring that his findings translate into practical and measurable outcomes (AI for Industry).
Dr. Li has published over 40 peer-reviewed articles in prestigious journals/conferences, such as Science, Nature’s sister journals, PNAS, IEEE Transactions, among others. He was the recipient of a few awards from IEEE and SIAM, including two best conference paper awards from IEEE Signal Processing Society and Engineering in Medicine and Biology Society, and CVPR Best Paper Award Finalist from IEEE Computer Society.
Applied Machine Learning
Scientific Data Science
Computational Imaging
Image Processing & Analysis
Interdisciplinary Research
✉️ Email: lijz AT ieee DOT org
📌 Address: 16-279, Lau Ming Wai Academic Building,
City University of Hong Kong,
83 Tat Chee Ave, Kowloon Tong, Hong Kong
☎ Phone: +852-3442-7131 | 🖨️ Fax:
+852-3442-0515