• PhotoniX
  • Vol. 4, Issue 1, 26 (2023)
Sheng-ke Zhu1、2、†, Ze-huan Zheng3、†, Weijia Meng4、5, Shan-shan Chang1、2, Yingling Tan1, Lu-Jian Chen1、*, Xinyuan Fang4、**, Min Gu4, and Jin-hui Chen1、2、6、***
Author Affiliations
  • 1School of Electronic Science and Engineering, Xiamen University, 361005 Xiamen, China
  • 2Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), 361005, Xiamen, China
  • 3School of Computer Science and Information Engineering, Xiamen Institute of Technology, 361021 Xiamen, China
  • 4Institute of Photonic Chips, University of Shanghai for Science and Technology, 200093 Shanghai, China
  • 5Centre for Artificial-Intelligence Nanophotonics, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, 200093 Shanghai, China
  • 6Shenzhen Research Institute of Xiamen University, 518000, Shenzhen, China
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    DOI: 10.1186/s43074-023-00102-7 Cite this Article
    Sheng-ke Zhu, Ze-huan Zheng, Weijia Meng, Shan-shan Chang, Yingling Tan, Lu-Jian Chen, Xinyuan Fang, Min Gu, Jin-hui Chen. Harnessing disordered photonics via multi-task learning towards intelligent four-dimensional light field sensors[J]. PhotoniX, 2023, 4(1): 26 Copy Citation Text show less
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    Sheng-ke Zhu, Ze-huan Zheng, Weijia Meng, Shan-shan Chang, Yingling Tan, Lu-Jian Chen, Xinyuan Fang, Min Gu, Jin-hui Chen. Harnessing disordered photonics via multi-task learning towards intelligent four-dimensional light field sensors[J]. PhotoniX, 2023, 4(1): 26
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