Youwei Liang

I am a PhD candidate in the Department of Electrical and Computer Engineering at UC San Diego, advised by Prof. Pengtao Xie.

My research lies at the intersection of machine learning and healthcare, with a focus on developing ML-driven solutions for clinical decision-making and medical research. Specifically, I work on improving disease diagnosis using medical imaging (e.g., detecting glaucoma progression from optical coherence tomography), predicting inpatient outcomes such as early sepsis onset, and facilitating medical literature discovery related to long COVID through natural language processing. My work has been published in peer-reviewed journals such as the British Journal of Ophthalmology and Scientific Reports.

Publications

(* denotes co-first authors)

Detection of glaucoma progression on longitudinal series of en‑face macular optical coherence tomography angiography images with a deep learning model
Vahid Mohammadzadeh*, Youwei Liang*, Sasan Moghimi, Pengtao Xie, Takashi Nishida, Golnoush Mahmoudinezhad, Medi Eslani, Evan Walker, Alireza Kamalipour, Eleonora Micheletti, Jo‑Hsuan Wu, Mark Christopher, Linda M Zangwill, Tara Javidi, Robert N Weinreb
British Journal of Ophthalmology (BJO), 2024.
https://bjo.bmj.com/content/108/12/1688

Improving long COVID‑related text classification: a novel end‑to‑end domain‑adaptive paraphrasing framework
Sai Ashish Somayajula, Onkar Litake, Youwei Liang, Ramtin Hosseini, Shamim Nemati, David O. Wilson, Robert N. Weinreb, Atul Malhotra, Pengtao Xie
Scientific Reports (Sci Rep), 2024.
https://www.nature.com/articles/s41598-023-48594-4