Publications

My research interests include computational imaging, artificial intelligence and deep learning, physics-informed machine intelligence, digital holography and coherent imaging, and camera-based physiological sensing. See Google Scholar for a full list of the publications I have co-authored.

Journal Publications

• Advanced deep learning for digital holography: A review
  Yunping Zhang, Ni Chen, Yanmin Zhu, Jingyan Chen, Chutian Wang, Tianjiao Zeng, and Edmund Y. Lam
  Progress in Quantum Electronics, 109 (100638), 2026.

• Robust holographic imaging for real-world applications with joint optimization [Project page]
  Yunping Zhang, and Edmund Y. Lam
  Optics Express, 33 (3), 5932-5944, 2025.

• Single-shot inline holography using a physics-aware diffusion model [Project page]
  Yunping Zhang, Xihui Liu, and Edmund Y. Lam
  Optics Express, 32 (6), 10444-10460, 2024.

• Photon-starved snapshot holography [Project page]
  Yunping Zhang, Stanley H. Chan, and Edmund Y. Lam
  APL Photonics, 8 (5), 2023.
  Highlighted as a Scilight in the May 2023 issue of APL Photonics

• Holographic 3D particle reconstruction using a one-stage network
  Yunping Zhang, Yanmin Zhu, and Edmund Y. Lam
  Applied Optics, 61 (5), B111-B120, 2022.

• Advanced optical imaging technologies for microplastics identification: progress and challenges
  Yanmin Zhu, Yuxing Li, Jianqing Huang, Yunping Zhang, Yuen-Wa Ho, James Kar-Hei Fang, and Edmund Y. Lam
  Advanced Photonics Research, 5 (11), 2400038, 2024.

Conference Proceedings

• AI-Driven Illumination-Adaptive Enhancement for Robust Mobile AR Games
  Yunping Zhang
  in the 9th Machine Learning and Machine Intelligence (MIML), 2026. In press.

• A portable AI-powered rotifer-tracking system for in-situ water quality assessment
  Yunping Zhang, Y. Tian, Y. Li, and Edmund Y. Lam
  in SPIE Optical Metrology, pp. 13570-27, 2025.

• Self-supervised defocus blur kernel estimation with symmetry and smooth constraints
  Y. Tian, Yunping Zhang, Y. Li, and Edmund Y. Lam
  in SPIE Optical Metrology, pp. 13570-32, 2025.

• Overcoming deterministic perturbations in physics-informed holographic reconstruction through joint optimization
  Yunping Zhang and Edmund Y. Lam
  in Digital Holography and Three-Dimensional Imaging, pp. Tu1A-3, 2024.

• Photon-Limited Imaging with Quanta Image Sensors Via an Unsupervised Learning Framework
  H. Liu, Yunping Zhang, and Edmund Y. Lam
  in IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, 2024.

• Quantifying particle volumes with photon-counting digital holography
  Yunping Zhang, J. Huang, Y. Zhu, Y. Li, and Edmund Y. Lam
  in Digital Holography and Three-Dimensional Imaging, pp. HW3D-1, 2023.

• Polarization Holographic Imaging for High-throughput Microplastic Analysis
  Y. Li, Y. Zhu, J. Huang, Yunping Zhang, and Edmund Y. Lam
  in Digital Holography and Three-Dimensional Imaging, pp. HM1D-6, 2023.

• Polarization-sensitive digital holography for microplastic identification through scattering media
  J. Huang, Y. Zhu, Y. Li, Yunping Zhang, and Edmund Y. Lam
  in Digital Holography and Three-Dimensional Imaging, pp. HW3D-2, 2023.

• Enabling low-light digital holography with a quanta image sensor
  Yunping Zhang and Edmund Y. Lam
  in Digital Holography and Three-Dimensional Imaging, pp. Th4A-6, 2022.

• Recovery of 3D particles distribution from digital hologram using a one-stage detection network
  Yunping Zhang and Edmund Y. Lam
  in Holography, Diffractive Optics, and Applications XI, pp. 50-58, 2021.

• Dynamic speckle analysis using the event-based block matching algorithm
  Z. Ge, Y. Zhu, Yunping Zhang, and Edmund Y. Lam
  in Advanced Sensor Systems and Applications XI, pp. 137-142, 2021.

• Multi-block fusion for vehicle re-identification
  Yunping Zhang and K. Mikolajczyk
  in 9th International Conference on Imaging for Crime Detection and Prevention (ICDP), pp. 38-43, 2019.