Recent updates and achievements
Our paper "Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series" has been accepted by npj systems biology and applications!
† Equal contributions, * Corresponding authors
This work proposes the first multimodal LLM specifically designed to interpret spirogram time-series data, integrating raw signals with demographics to generate clinical reports.
A comprehensive web platform designed to streamline academic research. It features one-click retrieval of journal impact metrics (Impact Factor, Quartiles) and utilizes LLM technology to automatically generate concise summaries of paper abstracts.
My academic and research journey
Specializing in Medical AI under the supervision of Dr. Jinbo Sun.
Conducted research on time-series data and deep learning for medical applications at National Institute of Health Data Science. Supervisor: Dr. Shenda Hong.
Core focus on Deep Learning fundamentals. Supervisor: Dr. Yuxi Zhou.
Awarded by the Ministry of Education of China (Top 0.2%)
Tianjin University of Technology