Haiyun Guo

I am currently a 4th-year Ph.D. in the Depoartment of Electrical and Computer Engineering at Rice University, supervised by Prof. Ashok Veeraraghavan of Rice Computational Imaging Lab. Previously, I obtained my Bachelor degree from Huazhong University of Science and Technology. I work on computational photography and optical imaging, focusing on end-to-end learning, physics-based neural networks and optimization algorithms.   I am actively looking for research internships for 2025.

Publications (* denotes equal contribution)

WaveMo: Learning Wavefront Modulations to See Through Scattering

WaveMo: Learning Wavefront Modulations to See Through Scattering

Wavefront modulations and a lightweight feedforward “proxy” reconstruction network are jointly optimized to recover scenes obscured by scattering.

NeuWS: Neural Wavefront Shaping for Guidestar-Free Imaging Through Static and Dynamic Scattering Media

NeuWS: Neural Wavefront Shaping for Guidestar-Free Imaging Through Static and Dynamic Scattering Media

Neural signal representations enable breakthroughs in correcting for severe time-varying wavefront aberrations caused by scattering media.

Fourier ptychographic microscopy image stack reconstruction using implicit neural representations

Fourier ptychographic microscopy image stack reconstruction using implicit neural representations

Haowen Zhou*, Brandon Y. Feng*, Haiyun Guo, Siyu Lin, Mingshu Liang, Christopher Metzler, Changhuei Yang

Physics-based neural representations revolutionize FPM by significantly reducing image stack reconstruction times and data volumes, enhancing remote diagnostics and data efficiency.

Use of structured light in 3D reconstruction of transparent objects

Use of structured light in 3D reconstruction of transparent objects

A light ray propagation model profiles 3D transparent objects by analyzing the local periodicity of distorted images.

Single-shot digital phase-shifting Moiré patterns for 3D topography

Single-shot digital phase-shifting Moiré patterns for 3D topography

Moiré topography, enhanced by digital filtering and phase-shifting, achieves micron-level 3D surface mapping through robust single-image capture.

Non-recursive transport of intensity phase retrieval with the transport of phase

Non-recursive transport of intensity phase retrieval with the transport of phase

The integration of TIE and TPE through a non-recursive FFT-based approach enhances phase retrieval accuracy in optical field analysis.

Ptychographic coherent diffractive imaging, digital holography and structured light techniques for topographical 3D imaging

Ptychographic coherent diffractive imaging, digital holography and structured light techniques for topographical 3D imaging

In additive manufacturing, digital holography, ptychographic imaging, and structured light uniquely address topographical measurement of reflective metals, supported by simulations and experiments.

Wavelength and power dependence on multilevel behavior of phase change materials

Wavelength and power dependence on multilevel behavior of phase change materials

Gary A. Sevison, Joshua A. Burrow, Haiyun Guo, Andrew Sarangan, Joshua R. Hendrickson, Imad Agha

Multilevel responses of GeTe, GST, and W-GST to 1550 nm and 780 nm wavelengths show distinct application potentials based on film thickness and substrate interactions.

A Maskless Lithography System Based on Digital Micromirror Devices (DMD) and Metalens Arrays

A Maskless Lithography System Based on Digital Micromirror Devices (DMD) and Metalens Arrays

Shiqi Luo, Kaitrin Weber, Haiyun Guo, Wenqi Zhu, Amit Agrawal, Imad Agha

A metalens array in a maskless lithography system achieves high-resolution patterning by focusing light from designated micromirrors onto the photoresist.