Tianyi (Bruce) Chen

News:
Currently I’m applying for graduate program under the category of applied AI (computer vision, robotics and embedded system).
My research paper High-accuracy fine-tuned vision transformer model for diagnosing COVID-19 from chest X-ray images has been published as a preprint and I am working on revising it according to the reviewers’ feedback to let it publish on MethodX journal.
Our project AI-Telehealth won the third prize at NAU Eng-Fest II!

Who am I?

My name is Tianyi Chen, currently studying Computer Engineering (BS) at Northern Arizona University (transferred) and previously studied Electronic Information Engineering (BS) at Chongqing University of Posts and Telecommunications. My primary academic focus is on machine learning, a field that deeply fascinates me. In my leisure time, I engage in small-scale IoT projects, where I take great pleasure in combining hardware and software to build practical and functional devices. Additionally, I have a passion for video games and animations. Aside from Chinese, I can speak English and Japanese.

Publications:

High-accuracy fine-tuned vision transformer model for diagnosing COVID-19 from chest X-ray images (currently in peer review stage) Backup link. (Currently we are revised it.)

Experience:

Northern Arizona University: 2020(2023) — 2024
Bachelor of Science in Computer Engineering
Chongqing University of Posts and Telecommunications: 2020-2024 (2023)
Bachelor of Science in Electronic Information Engineering
Laboratory: Digital System Design, NAU

Resume/CV:

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