Congli Wang, Ph.D.

Postdoctoral Research Associate @ Princeton University


I am a Postdoctoral Research Associate in the Department of Computer Science at Princeton University, working with Felix Heide. I received my PhD in the Visual Computing Center at King Abdullah University of Science and Technology (KAUST), supervised by Wolfgang Heidrich.

I do computational imaging, in the general field of computer science and optical engineering, with a focus on exploiting advanced computations for optical systems and imaging, intersecting optics, computer vision, and computer graphics.

Email me at for collaborations, mentorship, reviews, consultations, or other inquiries within my area of expertise.

Research Interests

My research interests are in computational imaging and optics. Specific topics are:

  • Wavefront sensing
  • Adaptive optics
  • Differentiable imaging
  • Optical design and modeling
  • Digital holography


  • 2024 - now: Postdoc in Computer Science, Princeton University, NJ
  • 2021 - 2024: Postdoc in Electrical Engineering & Computer Sciences and BAIR Lab, UC Berkeley, CA
  • Spring 2015: Visiting student, Martinos Center, MA


  • 2017 - 2021: Ph.D. in Electrical & Computer Engineering, KAUST, Saudi Arabia
  • 2015 - 2016: M.Sc. in Electrical Engineering (Systems Track), KAUST, Saudi Arabia
  • 2011 - 2015: B.Eng. in Electrical Engineering, Tianjin University, P.R. China


I serve as a frequent reviewer for peer-reviewed conferences and journals in computational imaging, computer graphics, computer vision, and optics, for academic societies including ACM, IEEE, Optica (formerly OSA), among others:

  • ACM Transactions on Graphics
  • IEEE Transactions on {Computational Imaging, Pattern Analysis and Machine Intelligence}
  • Optica {Applied Optics, Biomedical Optics Express, Optica, Optics Express, Optics Letters, Photonics Research}
  • Elsevier {Measurement, Optics Communications}

Recent Presentation

  1. Towards general video percepts cone-by-cone
    ARVO Journal of Vision [Abstract Issue], 2023
    (selected as oral at FVM 2022)


  1. lao2024turbremoval.gif
    Diffeomorphic template registration for atmospheric turbulence mitigation
    Dong Lao, Congli Wang, Alex Wong, and Stefano Soatto
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
    (highlight poster)
  2. chen2023dH.png
    ∂H: Differentiable holography
    Ni Chen, Congli Wang, and Wolfgang Heidrich
    Wiley Laser & Photonics Reviews, 2023
  3. wang2022dO.jpeg
    dO: A differentiable engine for Deep Lens design of computational imaging systems
    Congli Wang, Ni Chen, and Wolfgang Heidrich
    IEEE Transactions on Computational Imaging, 2022
    (oral and OSA student paper award at IODC 2021)
  4. chen2022HTRSD.jpeg
    HTRSD: Hybrid Taylor Rayleigh-Sommerfeld diffraction
    Ni Chen, Congli Wang, and Wolfgang Heidrich
    OSA Optics Express, 2022
  5. sun2021end2end.jpg
    End-to-end complex lens design with differentiable ray tracing
    Qilin Sun, Congli Wang, Qiang FuXiong Dun, and Wolfgang Heidrich
    ACM Transactions on Graphics, 2021
    (oral at SIGGRAPH 2021)
  6. wang2021diffdeflectometry.jpg
    Towards self-calibrated lens metrology by differentiable refractive deflectometry
    Congli Wang, Ni Chen, and Wolfgang Heidrich
    OSA Optics Express, 2021
  7. chen2021holoflow.jpg
    Snapshot space-time holographic three-dimensional particle tracking velocimetry
    Ni Chen*, Congli Wang*, and Wolfgang Heidrich
    Wiley Laser & Photonics Reviews, 2021
    (*: equal contribution)
  8. chen2021mbnet.jpg
    Holographic 3D particle imaging with model-based deep network
    Ni Chen, Congli Wang, and Wolfgang Heidrich
    IEEE Transactions on Computational Imaging, 2021
  9. qiu2021polarcamera.jpg
    Linear polarization demosaicking for monochrome and colour polarization focal plane arrays
    Simeng QiuQiang Fu, Congli Wang, and Wolfgang Heidrich
    Wiley Computer Graphics Forum, 2021
    (oral at VMV 2019)
  10. zang2020tomofluid.jpg
    TomoFluid: Reconstructing dynamic fluid from sparse view videos
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
  11. wang2020theory.jpg
    Modeling classical wavefront sensors
    Congli Wang, Qiang FuXiong Dun, and Wolfgang Heidrich
    OSA Optics Express, 2020
  12. wang2019qpm.jpg
    Quantitative phase and intensity microscopy using snapshot white light wavefront sensing
    Congli Wang, Qiang FuXiong Dun, and Wolfgang Heidrich
    NPG Scientific Reports, 2019
  13. wang2018metapixelao.jpg
    Megapixel adaptive optics: Towards correcting large-scale distortions in computational cameras
    Congli Wang, Qiang FuXiong Dun, and Wolfgang Heidrich
    ACM Transactions on Graphics, 2018
    (oral at SIGGRAPH 2018)
  14. wang2017cws.png
    Ultra-high resolution coded wavefront sensor
    Congli Wang, Xiong DunQiang Fu, and Wolfgang Heidrich
    OSA Optics Express, 2017
    (demo and poster at ICCP 2017)


Jan 30, 2024 My pleasure to give a talk at IEEE SPS Webinar!
Oct 9, 2023 My pleasure to give a talk at Optica Frontiers in Optics + Laser Science 2023!
Sep 6, 2023 My pleasure to give a talk at UCL High-Beams Seminar!
Aug 15, 2023 My pleasure to give a talk at Optica Imaging Congress (COSI) 2023!
Oct 21, 2022 I presented our latest work on Oz Vision at Optica Fall Vision Meeting 2022!