I am currently a Year 1 PhD student in Electronic Engineering in The Chinese University of Hong Kong (CUHK) . Prior to this, I received bachelor’s degree (Rank top 5%) in BSc Data Science from City University of Hong Kong (CityU) . During undergraduate study, I was fortunate to work as reasearch assistants for Prof. LI Jizhou (Now PhD supervisor) and Prof. LI Xinyue (CityU) . With Prof. LI Jizhou, my reasearch still mainly focuses on Fourier phase retrieval with deep learning and other topics related to AI for Science. With Prof. LI Xinyue, I used to focus on using statiscal models to help predict various diseases among elders.

Publication

Published (* denotes equal contribution)

● T. Li *, Z. Xu *, Y. S. Chu, X. Huang, and J. Li, “Coordinate-based Neural Network for Fourier Phase Retrieval”, IEEE International Conference on Acoustics, Speech and Signal Processing 2024, doi: 10.1109/ICASSP48485.2024.10447474.

● C. Sakal, T. Li, J. Li, and X. Li, “Associations Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study”, JMIR Aging, 7:e54353, 2024, doi: 10.2196/54353. (JCR Q1 in Gerontology)

● C. Sakal, T. Li, J. Li, and X. Li, “Identifying the most predictive risk factors for future cognitive impairment among elderly Chinese”, JMIR Aging, 7:e53240, 2024, doi: 10.2196/53240. (JCR Q1 in Gerontology)

Under Review

● C. Sakal, T. Li, J. Li, and X. Li, “Using wearable device-based machine learning models to autonomously identify older adults with poor cognition”, arXiv, https://arxiv.org/abs/2309.07133. 2023. (Under Review)