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Efficient Mathematical and Data-driven Models for Closed-loop Adaptive Optics Systems for Ground-based Astronomy (地面天文学中闭环自适应光学系统的高效数学和数据驱动模型)

  • CHAN, Raymond (PI)
  • KE, Rihuan (CoI)
  • WAGNER, Roland (CoI)
  • RAMLAU, Ronny (CoI)

Project Details

StatusFinished
Effective start/end date1/01/2331/12/25

Funding

  • Research Grants Council (Hong Kong, China): HK$648,000.00

Funding Scheme

  • General Research Fund

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  • A mathematical explanation of UNet

    TAI, X.-C., LIU, H., CHAN, R. H. & LI, L., Oct 2025, In: Mathematical Foundations of Computing. 8, 5, p. 874-889 16 p.

    Research output: Journal PublicationsJournal Article (refereed)peer-review

  • New Ways to Design Deep Neural Networks

    TAI, X. C., LIU, H., CHAN, R. H. & LI, L., 13 Jun 2025, Proceedings of the Symposium of the Norwegian AI Society 2025 (NAIS 2025), Tromsø, Norway, June 17-18, 2025.. JENSSEN, R. & BACH, K. (eds.). Sun SITE Central Europe (CEUR), p. 13-25 13 p. (CEUR Workshop Proceedings).

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

    Open Access
  • Implicit Regression in Subspace for High-Sensitivity CEST Imaging

    CHEN, C., LIU, Y., PARK, S. W., Li, J., CHAN, K. W. Y. & CHAN, R. H. F., 22 Aug 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review