Publications & Preprints

You can also find a full list of my articles on my Google Scholar profile.

Journal Publications

Metric Learning: Harnessing the Power of Machine Learning in Nanophotonics

Published in ACS Photonics, 2023

Recommended citation: Zandehshahvar, M., Kiarashi, Y., Zhu, M., *Daqian Bao*, Javani, M. H., Pourabolghasem, R. & Adibi, A. (2023). "Metric Learning: Harnessing the Power of Machine Learning in Nanophotonics." ACS Photonics 10, 900-909.
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Conference Publications

New paradigms in manifold learning for knowledge discovery and inverse design in nanophotonics

Published in SPIE OPTO, 2023

Recommended citation: Y. Kiarashinejad, M. Zandehshahvar, M. H. Javani, M. Zhu, *Daqian Bao*, R. Pourabolghasem, and A. Adibi. (2023). "New paradigms in manifold learning for knowledge discovery and inverse design in nanophotonics." Proc. SPIE 12430, Photonic and Phononic Properties of Engineered Nanostructures XIII.
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Efficient artificial intelligence techniques for inverse design and knowledge discovery in metamaterials

Published in The Journal of the Acoustical Society of America, 2022

Recommended citation: Zandehshahvar, M., Kiarashinejad, Y., Hadighe Javani, M., Zhu, M., Brown, T., *Daqian Bao* & Adibi, A. (2022). "Efficient artificial intelligence techniques for inverse design and knowledge discovery in metamaterials." The Journal of the Acoustical Society of America 151, A254-A254.
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Metric learning: a new approach for defining similarity measures for nanophotonics

Published in Bulletin of the American Physical Society (APS March Meeting 2022), 2022

Recommended citation: M Zandehshahvar, Y Kiarashinejad, M Hadighejavani, M Zhu, *Daqian Bao*, A Adibi. (2022). "Metric learning: a new approach for defining similarity measures for nanophotonics." Bulletin of the American Physical Society, APS March Meeting 2022, Abstract A24.00003.
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Preprints

Directional Encoding Based Implicit Neural Representation as Compressive Models for Radar Signal

Published in ArXiv preprint, submitted to IEEE Transaction on Antenna and Propagation, 2025

Recommended citation: *Daqian Bao* and Justin Romberg. (2025). "Directional Encoding Based Implicit Neural Representation as Compressive Models for Radar Signal" ArXiv[To Be Updated].
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Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals

Published in ArXiv preprint, submitted to Transactions on Machine Learning Research (TMLR), 2024

Recommended citation: *Daqian Bao*, A. Saad-Falcon, & J. Romberg. (2024). "Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals." ArXiv[arXiv:2410.19801].
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