i am an applied scientist at amazon science working on rufus, the next generation llm-based conversational shopping assistant.
i received my phd degree in computer science from the university of utah ποΈ β the birthplace of computer graphics π° and world's first packet-switched network (arpanet) π. i was fortunate to be mentored by dr. sarang joshi with affiliations to the sci institute and kahlert school of computing. i also work closely with researchers from fsu, ucla, uva, and yale.
before i joined the u, i received my bachelor of engineering degree in computer science from tongji university and have studied at israel institute of technology β‘οΈ and institut de mathΓ©matiques de toulouse π₯ 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.
i have served as a reviewer for several journals and conferences, including acm mm, aistats, acm tist, cvpr, aro, iclr, icml, media, melba, miccai, midl, neurips, scientific reports, ai for differential equations in science@iclr, and wicv@eccv.
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 am an amateur photographer, vlogger and also a loyal reader of π° newspapers, you can
find the highlight front pages of the new york times i collect by the years of 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023; the highlight front pages of the washington post I collect before 2015, 2016 - 2020, and 2021 - 2024.