張雲屏 博士
Dr. Yunping ZHANG (Sherry)
Description
Her research focuses on computational imaging powered by artificial intelligence, encompassing algorithm design and real-world applications. During her time at HKU, Dr.Zhang conducted research work on holographic microscopy, a cutting-edge tool for non-invasive and non-destructive 3D investigations in biomedical imaging, material science, and metrology. Dr. Zhang has developed innovative algorithms to address inverse imaging problems using physics-informed AI and generative modelling, with her findings published in research journals such as APL Photonics, Advanced Photonics Research, Optics Express, and Applied Optics. Beyond academia, Dr. Zhang gained industry experience as an Algorithm Engineer at MeiTuan, Beijing, where she contributed to image-based roadmap development. Dr. Zhang currently focuses on Camera-based Physiological Sensing with AI-assistance for user-state estimation.
Courses Taught
- Research Methods and Data Analytics
- Introduction to Machine Learning
- Advanced Research Methods on Usability and Playability
- Game Design and Programming
- Computer Vision in Game Design
- Deep Learning
- Computer Programming as Problem Solving
- Social Media Analytics
- Data Science Ethics
Area of Interest
- Computational imaging
- Artificial Intelligence and Deep Learning
- Physiology imaging
- Physics-informed Machine Intelligence
- Digital holography and coherent imaging
- Non-intrusive and non-destructive inspection
Academic Qualifications
- Ph.D, The University of Hong Kong (HKU), Hong Kong SAR
- M.Sc. (Distinction), Imperial College London (ICL), United Kingdom
- B.Eng. (Hons, First Class), University of Glasgow (UofG), United Kingdom
- B.Eng., The University of Electronic Science and Technology of China (UESTC), China
Funded Projects
- 2026: Camera-Based Multimodal Affective Computing for Video Games via Contactless Physiological and Facial Analysis, Hong Kong Shue Yan University (Ongoing), Principle Investigator
Publication
- Zhang, Y., Chen, N., Zhu, Y., Chen, J., Wang, C., Zeng, T., & Lam, E. Y. “Advanced deep learning for digital holography: A review”. Progress in Quantum Electronics 2026; 109:100638
- Zhang, Y, Lam, E. "Robust holographic imaging for real-world applications with joint optimization". Optics Express 2025; 33(3):5932–5944.
- Zhang, Y, Liu, X., Lam, E. "Single-shot inline holography using a physics-aware diffusion model". Optics Express 2024; 32(6):10444–10460
- Zhang, Y, Chan, S., Lam, E. "Photon-starved snapshot holography". APL Photonics 2023; 8(5).
- Zhang, Y, Zhu, Y., Lam, E. "Holographic 3D particle reconstruction using a one-stage network". Applied Optics 2022; 61(5):B111–B120.
- Zhu, Y., Li, Y., Huang, J., Zhang, Y., Ho, Y.W., Fang, J.H., Lam, E. "Advanced optical imaging technologies for microplastics identification: progress and challenges". Advanced Photonics Research 2024; 5(11):2400038.
- Zhang, Y, “AI-Driven Illumination-Adaptive Enhancement for Robust Mobile AR Games”, in the 9th Machine Learning and Machine Intelligence (MIML) 2026 (pp. 406 – 412)
- Zhang, Y., Tian, Y., Li, Y, Lam, E. “A portable AI-powered rotifer-tracking system for in-situ water quality assessment”, in SPIE Optical Metrology 2025 (pp.13570-27)
- Tian, Y., Zhang, Y., Li, Y., Lam, E. “Self-supervised defocus blur kernel estimation with symmetry and smooth constraints”, in SPIE Optical Metrology 2025 (pp. 13570-32)
- Zhang, Y., Lam, E. “Overcoming deterministic perturbations in physics-informed holographic reconstruction through joint optimization”. In Digital Holography and Three-Dimensional Imaging 2024 (pp. Tu1A–3).
- Liu, H., Zhang, Y., Lam, E, “Photon-Limited Imaging with Quanta Image Sensors Via an Unsupervised Learning Framework”. In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP) 2024 (pp. 1–6).
- Zhang, Y., Huang, J., Zhu, Y., Li, Y., Lam, .E. “Quantifying particle volumes with photon-counting digital holography”. In Digital Holography and Three-Dimensional Imaging 2023 (pp. HW3D–1).
- Li, Y., Zhu, Y., Huang, J., Zhang, Y., Lam, E. “Polarization Holographic Imaging for High-throughput Microplastic Analysis”. In Digital Holography and Three-Dimensional Imaging 2023 (pp. HM1D–6).
- Huang, J., Zhu, Y., Li, Y., Zhang, Y., Lam, E. “Polarization-sensitive digital holography for microplastic identification through scattering media”. In Digital Holography and Three-Dimensional Imaging 2023 (pp. HW3D–2).
- Zhang, Y., Lam, E. “Enabling low-light digital holography with a quanta image sensor”. In Digital Holography and Three-Dimensional Imaging 2022 (pp. Th4A–6).
- Zhang, Y., Lam, E. “Recovery of 3D particles distribution from digital hologram using a one-stage detection network”. In Holography, Diffractive Optics, and Applications XI 2021 (pp. 50–58).
- Ge, Z., Zhu, Y., Zhang, Y., Lam, E. “Dynamic speckle analysis using the event-based block matching algorithm”. In Advanced Sensor Systems and Applications XI 2021 (pp. 137–142).
- Zhang, Y., Mikolajczyk, K. “Multi-block fusion for vehicle re-identification”. In 9th International Conference on Imaging for Crime Detection and Prevention (ICDP) 2019 (pp. 38–43).
Professional Experiences
- Assistant Professor, Department of Data Science and Digital Innovation, Hong Kong Shue Yan University (2025-Now)
- Algorithm Engineer, Meituan, Beijing (2020)
- Research Assistant, MatchLab Research Group, ICL, UK (2019)
Scholarly and Community Services
- Reviewer for IEEE Transactions on Image Processing, IEEE Transactions on Computational Imaging, Optica Applied Optics, and Optica Optics Express
- Program Committee Member, 4th International Conference on Data, Information and Computing Science, 2026
- Program Committee Member, the 9th International Conference on Machine Learning and Machine Intelligence, 2026
- Program Committee Member , the 13th IEEE International Conference on Data Science and Advanced Analytics, 2026
- Vice-President at Postgraduate Student Association, HKU 2021/07 – 2022/06
- Secretary of Student Welfare Office at Postgraduate Student Association, HKU 2021/02 – 2021/07
- Senior Member of Imperial Cross Country & Athletics Club, ICL

