I am a Ph.D. student in computer science, advised by Dr. Sarang Joshi
with both SCI Institute and Kahlert School of Computing, ποΈ University of Utah. I
also work closely with researchers from FSU, UCLA, UVa, and Yale. I was an applied scientist intern at π Amazon, focusing on π¨ diffusion models for text inpainting (2023 summer) and π multimodal transformers for document understanding (2022 summer).
Before I joined the U, I received my B.Eng. in computer science from Tongji University and have studied at β‘οΈ Israel Institute of Technology and π₯ Institut de MathΓ©matiques de
Toulouse as an exchange student, focusing on image analysis and Riemannian geometry,
respectively.
My interest lies in developing specialized and trustworthy machine learning tools tailored for computer
vision problems in π§ββοΈ healthcare settings, so as to improve medical treatment, diagnosis and understanding of the disease.
My research extends to, but is not limited to:
π¨ββοΈ trustworthy machine learning (fairness and robustness);
π geometric deep learning and shape modeling;
ποΈ multimodal learning and vision language models;
π physics-informed machine learning.
Publications & Preprints
Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics.
- Kris Campbell, Haocheng Dai, Zhe Su, Martin Bauer, Tom Fletcher, Sarang Joshi.
- Machine Learning for Biomedical Imaging (MELBA), 2022 π§ββοΈπ / Paper / Code / Citation
Services
I have served as a reviewer for several journals and conferences, including ACM MM, CVPR, ARO, MedIA, MELBA, MICCAI, MIDL, Scientific Reports, and the ICLR Workshop on AI for Differential Equations in Science.
Miscellaneous
I made a handful of notes for better understanding in machine learning,
mathematics of imaging, metric estimation, image
registration, and solving large systems
of linear equations.
My ErdΕs Number = 4:
Haocheng Dai -> Sarang Joshi -> Ulf Grenander -> Oved Shisha -> Paul ErdΕs;
Haocheng Dai -> Mike Kirby -> Frank Stenger -> Ambikeshwar Sharma -> Paul ErdΕs.
I'm an amateur photographer, vlogger and also a loyal reader of π° the New York Times, you can
find the highlight front pages I collect by the years of 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023.
Footprints
