Chi-Jui (Jerry) Ho

About Me

I am a Ph.D. candidate at UC San Diego, advised by Nick Antipa. My research lies at the intersection of optics and image processing, focusing on physics-informed algorithm design for computational imaging systems. My work includes differentiable optics simulation, as well as applications in computational photography and medical imaging. I've interned at Meta Reality Labs (Mentor: Frank Qian) and MediaTek (Mentor: Yu-Hao Huang). Before joining UCSD, I completed my B.S. in Electrical Engineering at National Taiwan University in 2019, advised by Homer Chen.

Download my CV (PDF)

News

August 2026 — I presented our PRISM work on plenoptic imaging of particle interactions at the INMM 67th Annual Meeting in Austin, Texas.
August 2026 — Our 2DIR work was accepted by Optics Express.
2026 — Our end-to-end computational camera optimization work appears at SPIE Optics + Photonics.
July 2026 — Our PRISM paper on plenoptic scintillation imaging was posted on arXiv.
2025 — Our differentiable wave optics paper appeared at ICCV.

Publications

End-to-end computational cameras optimization with differentiable physical optics
Chi-Jui Ho, Yash Belhe, Steve Rotenberg, Ravi Ramamoorthi, Tzu-Mao Li, Nicholas Antipa
SPIE Optics + Photonics, paper 14198-31, 2026
[SPIE]
Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling
Chi-Jui Ho, Harsh Bhakta, Xiong Wei, Nicholas Antipa
Optics Express, vol. 34, no. 17, pp. 31736-31757, 2026
[Optics Express] [DOI] [arXiv]
Highlighted paper
Plenoptic imaging of particle interactions in scintillation detectors
Xiang Dai, Chi-Jui Ho, Kevin Tandi, Chang Lee, Alex Bocchieri, David Parra, Forrest Peterson, Talha Sultan, Felicia Sutanto, Andreas Velten, Jingke Xu, Nicholas Antipa
arXiv preprint, 2026
[arXiv]
A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization
Chi-Jui Ho, Yash Belhe, Steve Rotenberg, Ravi Ramamoorthi, Tzu-Mao Li, Nicholas Antipa
ICCV 2025
[arXiv] [PDF]
Highlighted paper
An Unsupervised Learning Approach to 3D Rectal MRI Volume Registration
Chi-Jui Ho, Soan T. M. Duong, Yiqian Wang, Chanh D. Tr. Nguyen, Bieu Q. Bui, Steven Q. H. Truong, Truong Nguyen, and Cheolhong An
IEEE Access, vol. 10, pp. 87650–87660, 2022
[PDF]
A Convolutional Neural Network Pipeline for Multi-Temporal Retinal Image Registration
Chi-Jui Ho, Yiqian Wang, Junkang Zhang, Truong Nguyen, and Cheolhong An
International SoC Design Conference, 2021
[PDF]
Classification of Squamous Cell Carcinoma from FF-OCT Images: Data Selection and Progressive Model Construction
Chi-Jui Ho, Manuel Calderon-Delgado, Ming-Yi Lin, Jeng-Wei Tjiu, Sheng-Lung Huang, and Homer H. Chen
Computerized Medical Imaging and Graphics 93 (2021): 101992
[PDF]
Detecting mouse squamous cell carcinoma from submicron full-field optical coherence tomography images by deep learning
Chi-Jui Ho, Manuel Calderon-Delgado, Chin-Cheng Chan, Ming-Yi Lin, Jeng-Wei Tjiu, Sheng-Lung Huang, and Homer H. Chen
Journal of Biophotonics, vol. 14, no. 1, e202000271, 2021
[PDF]
Highlighted paper
AF-Net: A Convolutional Neural Network Approach to Phase Detection Autofocus
Chi-Jui Ho, Chin-Cheng Chan, and Homer H. Chen
IEEE Transactions on Image Processing, vol. 29, pp. 6386–6395, 2020
[PDF]
Highlighted paper
On the Distinction between Phase images and Two-View Light Field for PDAF of Mobile Imaging
Chi-Jui Ho and Homer H. Chen
Electronic Imaging, 2020
[PDF]

Working Experience

Research Scientist Intern
Meta Reality Labs, Eye Tracking Research
Jun. 2024 - Sep. 2024
Summer Intern
MediaTek
Jul. 2018 - Aug. 2018

Personal Blog and Notes

I occasionally write about research, computational imaging, and other interests on my blog (In Traditional Chinese).
What is computational imaging (original: Computational Imaging 搞什麼鬼)

Summary of the physical meanings of t₁, t₂, t₃ in 2DIR three-pulse experiments (original: 2DIR 三脈衝中 t₁, t₂, t₃ 的物理意義整理

Contact

Email: chh009@ucsd.edu

Chi-Jui (Jerry) Ho 何吉瑞