* denotes corresponding author(s)
Peer-reviewed Journals Articles and Preprints:

  1. Y. Li, X. Huang, S. Liu, H. Liang, Y. Ling, and Y. Su, “Metasurfaces for near-eye display applications“, Opto-Electronic Science, vol. 2, no. 8, 230025 (2023).
  2. X. Li, Z. Dong, H. Liu, J. J. Kang-Mieler, Y. Ling, and Y. Gan, “Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network“, Biomedical Optics Express, vol. 14, no. 10, 5148–5161 (2023).
  3. J. Mao, Y. Ling*, P. Xue, and Y. Su, “Importance sampling-accelerated simulation of full-spectrum backscattered diffuse reflectance,” Biomedical Optics Express, vol. 14, no. 9, 4644-4659 (2023). [Codes]
  4. Z. Dong, Y. Ling*, C. Xu, Y. Li, and Y. Su, “Gaze-contingent efficient hologram compression for foveated near-eye holographic displays,” Displays, vol. 79, 102464 (2023).
  5. Y. Ling*, Z. Dong, X. Li, Y. Gan, and Y. Su, “Deep learning empowered highly compressive SS-OCT via learnable spectral-spatial sub-sampling,” Optics Letters, vol. 48, no. 7, 1910-1913 (2023) Top downloads in Mar. & Apr. 2023.
  6. Z. Dong, C. Xu, Y. Ling*, Y. Li*, and Y. Su, “Fourier-inspired neural module for real-time and high-fidelity computer-generated holography,” Optics Letters, vol. 48, no. 3, 759-762 (2023). [Codes]
  7. M. Wang, Y. Ling*, Z. Dong, X. Yao, Y. Gan, C. Zhou*, and Y. Su, “GPU-accelerated iterative method for FD-OCT image reconstruction with image-level cross-domain regularizer,” Optics Express, vol. 31, no. 2, 1813-1831 (2023).
  8. Y. Li, S. Chen, H. Liang, X. Ren, L. Luo, Y. Ling, S. Liu, Y. Su, and S.-T. Wu, “Ultracompact multifunctional metalens visor for augmented reality displays,” PhotoniX, vol. 3, 29 (2022)
  9. J. Mao, Y. Ling*, P. Xue, and Y. Su, “Monte Carlo-based full-wavelength simulator of Fourier-domain optical coherence tomography,” Biomedical Optics Express, vol. 1, no. 12, 6317-6334 (2022).
  10. X. Li, S. Cao, H. Liu, X. Yao, B. C. Brott, S. H. Litovsky, X. Song, Y. Ling, and Y. Gan, “Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning,” IEEE Transactions on Biomedical Engineering, vol. 9, no. 12, 3667-3677 (2022).
  11. J. Li, P. Jin, J. Zhu, H. Zou, X. Xu, M. Tang, M. Zhou, Y. Gan, J. He*, Y. Ling*, and Y. Su, “Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT images,” Biomedical Optics Express, vol. 12, no. 4, 2204-2220 (2021). [Codes]
  12. H. Liu, S. Cao, Y. Ling, and Y. Gan, “Inpainting for Saturation Artifacts in Optical Coherence Tomography using Dictionary-based Sparse Representation,” IEEE Photonics Journal, vol. 13, no. 2, 3900110 (2021).
  13. Y. Ling*, M. Wang, X. Yao, Y. Gan, L. Schmetterer, C. Zhou* and Y. Su. “Effect of spectral leakage on the image formation of Fourier-domain optical coherence tomography,” Optics Letters, vol. 45, no. 22, 6394-6397 (2020).
  14. Y. Ling, M. Wang, Y. Gan, X. Yao, L. Schmetterer, C. Zhou and Y. Su. “Beyond Fourier transform: super-resolving optical coherence tomography,” arXiv:2001.03129v2 (2020).
  15. S. An, Q. Zhu, J. Li, Y. Ling, and Y. Su. “112-Gb/s SSB 16-QAM signal transmission over 120-km SMF with direct detection using a MIMO-ANN nonlinear equalizer,” Optics Express,  vol. 27, no. 9, 12794-12805 (2019).
  16. Y. Ling, W. Meiniel, R. Singh-Moon, E. Angelini, J.-C. Olivo-Marin, C. P. Hendon. “Compressed sensing-enabled phase-sensitive swept-source optical coherence tomography,” Optics Express, vol. 27, no. 2, 855-871 (2019).
  17. X. Yao, Y. Gan, Y. Ling, C. C. Marboe, C. P. Hendon. “Multi-contrast Endomyocardial Imaging By Single-channel High Resolution Cross-polarization Optical Coherence Tomography,” Journal of Biophotonics, vol. 14, no. 4, e201700204 (2018).
  18. J. P. McLean, Y. Ling, C. P. Hendon. “Frequency-constrained robust principal component analysis: a sparse representation approach to segmentation of dynamic features in optical coherence tomography imaging,” Optics Express, vol. 25, no. 21, 25819-25830 (2017).
  19. Y. Ling, X. Yao, C. P. Hendon. “Highly phase-stable 200 kHz swept-source optical coherence tomography based on KTN electro-optic deflector,” Biomedical Optics Express, vol. 8, no. 8, 3687-3699 (2017).
  20. Y. Ling, Y. Gan, X. Yao, C. P. Hendon. “Phase noise analysis of swept-source optical coherence tomography system,” Optics Letters, vol. 42, no. 7, 1333-1336 (2017).
  21. Y. Ling, X. Yao, U. A. Gamm, E. Arteaga-Solis, C. W. Emala, M. A. Choma, C. P. Hendon. “Ex vivo visualization of human ciliated epithelium and quantitative analysis of induced flow dynamics by using optical coherence tomography,” Lasers in Surgery and Medicine, vol. 49, no. 3, 270-279 (2017). Editor’s Choice.
  22. Z. Gorocs, Y. Ling, M. D. Yu, D. Karahalios, K. Mogharabi, K. Lu, Q. Wei, A. Ozcan. “Giga-pixel fluorescent imaging over an ultra-large field-of-view using a flatbed scanner,” Lab on a Chip 13, 4460-4466 (2013).
  23. Z. He, Z. Ye, Q. Cui, J. Zhu, H. Gao, Y. Ling, H. Cui, J. Lu, X. Guo, Y. Su. “Reflection chromaticity of cholesteric liquid crystals with sandwiched periodical isotropic defect layers,” Optics Communications, vol. 284, no. 16-17, 4022-4027 (2011).

Conferences Proceedings and Presentations:

  1. X. Ji, J. Chen, Y. Ling, and Y. Su, “Developing High Confinement and Low-loss Silicon Nitride Photonic Devices for Optical Coherence Tomography,” in Novel Techniques in Microscopy(Optica Publishing Group, 2023), pp. NW4C–5.
  2. C. Xu, Z. Dong, S. Chen, Y. Li*, Y. Ling*, and Y. Su, “49.3: A Modified Unsupervised Vision Transformer Network for High-fidelity Computer-generated Holography,” in SID Symposium Digest of Technical Papers (Wiley Online Library, 2023), Vol. 54, pp. 348–350.
  3. X. Wei, B. Jiang*, Y. Ling*, P. Jin, Y. Wang, X. Wang, C. Zhou, and Y. Gan, “Peripapillary atrophy segmentation in fundus images via multi-task learning,” in Medical Imaging 2023: Image Processing (SPIE, 2023), Vol. 12464, pp. 312–318.
  4. M. Wang, Z. Dong, Y. Ling*, and Y. Su, “Fast iterative method empowered by GPU acceleration for Fourier-domain optical coherence tomography image reconstruction,” in Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII (SPIE, 2023), Vol. 12367, pp. 82–86.
  5. J. Mao, Y. Ling*, P. Xue, Y. Su, and H. Liu, “A Monte Carlo-based full-wavelength image simulator of Fourier-domain optical coherence tomography (Conference Presentation),” in Optical Interactions with Tissue and Cells XXXIV (SPIE, 2023), p. PC1237705.
  6. Z. Dong, C. Xu, Y. Tang, Y. Ling*, Y. Li, and Y. Su, “Vision transformer-based, high-fidelity, computer-generated holography,” in Advances in Display Technologies XIII (SPIE, 2023), Vol. 12443, pp. 47–53.
  7. Y. Tang, Y. Li, H. Liu, J. Li, P. Jin, Y. Gan, Y. Ling, Y. Su. “Multi-scale sparse representation-based shadow inpainting for retinal OCT images,” Proc. SPIE 12032 (SPIE Medical Imaging 2022: Image Processing), 1203204. Image Processing Student Paper Award (1st place)
  8. X. Li, S. Cao, X. Yao, B. Brott, S. Litovsky, Y. Ling, Y. Gan. “Multi-scale super-resolution for coronary OCT image,” in BMES 2021, accepted.
  9. M. Wang, Y. Ling*, S. Shao, Y. Su, “An iterative algorithm for artifacts removal in Fourier-domain optical coherence tomography,” in Proc. SPIE 11630 (Photonics West 2021), 1163026.
  10. J. Li, Y. Ling*, J. He*, P. Jin, J. Zhu, H. Zou, X. Xu, S. Shao, Y. Gan, Y. Su, “A GCN-Assisted Deep Learning Method for Peripapillary Retinal Layer Segmentation in OCT Images,” in Proc. SPIE 11630 (Photonics West 2021), 1163010.
  11. Y. Ling, M. Wang, Y. Gan, X. Yao, L. Schmetterer, C. Zhou, and Y. Su, “Modelling The Shift-Variance in Fourier-Domain Optical Coherence Tomography,” in Proc. SPIE 11630 (Photonics West 2021), 1163025.
  12. Y. Ling, M. Wang, Y. Gan, X. Yao, L. Schmetterer, C. Zhou, and Y. Su, “A Mixed-Signal Framework for Modelling Fourier-Domain Optical Coherence Tomography,” in ACP/IOPC 2020, Accepted.
  13. S. Cao, X. Yao, N. Koirala, B. Brott, S. Litovsky, Y. Ling, and Y. Gan, “Super-resolution technology to simultaneously improve optical & digital resolution of optical coherence tomography via deep learning,” in 2020 42th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), pp. 1879-1882.
  14. Q. Zhu, S. An, R. Cao, Y. Ling, and Y. Su. “Fast and Wide-Range Wavelength Locking Based on a Two-Layer Neural Network in a Silicon Microring Switch,” in Proc. OFC 2019, W1E.1.
  15. Y. Ling, J. P. McLean, C. P. Hendon. “Data Compression of Time-lapse Optical Coherence Tomography Images Based On Low-rank Plus Sparse Reconstruction,” in OSA Biophotonics Congress 2018, JW3A.35.
  16. J. P. McLean, Y. Ling, C. P. Hendon. “A temporal-frequency variant on robust-principle component analysis for segmentation of motile cilia in optical coherence tomography images (Oral Presentation),” in Proc. SPIE 10574, Medical Imaging 2018, 105741C.
  17. X. Yao, Y. Gan, Y. Ling, C. C. Marboe, C. P. Hendon. “Functional endomyocardial imaging by single-channel high resolution cross-polarization OCT (Oral Presentation),” in Proc. SPIE 10471 (Photonics West 2018), 104710K.
  18. Y. Ling, W. Meiniel, J.-C. Olivo-Marin, E. D. Angelini, C. P. Hendon, “Implementation and demonstration of compressed sensing enabled phase-resolved swept-source optical coherence tomography (Poster Presentation),” in Photonics West 2018, Paper 10483-90.
  19. Y. Ling, C. P. Hednon, “Investigating mechanically induced phase response of the tissue by using high-speed phase-resolved optical coherence tomography (Oral Presentation),” in Proc. SPIE 10067 (Photonics West 2017), 100670Q.
  20. Y. Ling, X. Yao, U. A. Gamm, E. Arteaga-Solis, C. W. Emala, M. A. Choma, C. P. Hendon. “Visualization of ex vivo human ciliated epithelium and induced flow using optical coherence tomography (Oral Presentation),” Proc. SPIE 10041 (Photonics West 2017), 1004106.
  21. Y. Ling, C. P. Hednon, “Ultrahigh phase-stable swept-source optical coherence tomography as a cardiac imaging platform (Oral Presentation),” in Proc. SPIE 9689 (Photonics West 2016), 968937.
  22. Z. Gorocs, Y. Ling, M. D. Yu, D. Karahalios, K. Mogharabi, K. Lu, Q. Wei, A. Ozcan. “Fluorescent imaging over an ultra-large field-of-view of 532 cm2 using a flatbed scanner,” in Proc. SPIE 8951 (Photonics West 2014), 89510D.
  23. Y. Ling, W. Gao, S. Ouyang, G. Liang, Y. Su, H.‐P. D Shieh, “71.3: Flat‐Panel‐Display System Based on Interference Modulation for Both Intensity and Color,” in SID 2011, 42: 1049-1051.

Invited talks:

  1. Y. Ling and Yikai Su, “High-speed swept-source optical coherence tomography empowered by compressed sensing for time-lapse phase-sensitive imaging,” SPIE/COS Photonics Asia 2021, Nantong, China
  2. 凌玉烨，“面向真实世界单幅图像超分辨的光学退化模型,”国际计算成像会议（CITA2021）,中国杭州.
  3. Y. Ling, “Towards in situ OCT imaging of mucociliary clearance in human airway,” IEEE/ASM International Conferences on Advanced Intelligent Mechatronics 2019, Hong Kong, China.

Patents:

  1. C. P. Hendon, Y. Ling. “Compressed sensing enabled swept source optical coherence tomography apparatus, computer-accessible medium, system and method for use thereof,” US20190069849A1
  2. C. P. Hendon, X. Yao, Y. Ling. “High-sensitive swept-source optical coherence tomography system and methods of use thereof,” US20170356734A1
  3. A. Ozcan, Z. Gorocs, Y. Ling, M. D. Yu. “Fluorescent imaging using a flatbed scanner,” US9683938B2