Prof. LI Xinyue (李忻月博士)

BA/MS(UChicago), PhD(Yale)

Assistant Professor

Contact Information

Office:	LAU-16-284
Phone:	(+852) 3442-2180
Email:	xinyueli@cityu.edu.hk
Web:	xli-lab.com

Research Interests

Statistical Methods for Wearable Device Data
Statistical Genetics
Large Population Studies
Precision Medicine
Scalable Statistical Learning and Machine Learning Methods for Large Data Sets
Medical Imaging Data Analysis

Prof. Li received her PhD in Biostatistics from Yale University. Prior to Yale University, she spent one year at Peking University and three years at the University of Chicago, receiving her B.A. and M.S. in Statistics from the University of Chicago.

Her research interests are statistical methods for wearable device data, medical imaging, large population studies, genetics and precision medicine.

Openings:

PhDs: I am looking for highly motivated students with background in statistics/biostatistics/applied statistics. Please send me your CV and transcripts by email if you are interested.

Research Assistants: several positions are now open for drug discovery and machine learning/deep learning projects. Please contact me via email and send me your CV and transcripts if you are interested.

Awards and Achievements

May 2023 “Gold Medal with Congratulations of the Jury” 48th International Exhibition of Inventions of Geneva.
Dec 2023 “Silver Medal” Asia Exhibition of Innovations and Inventions Hong Kong.
Apr 2024 “Silver Medal” 49th International Exhibition of Inventions of Geneva.

Patents

Systems And Methods For Preprocessing IHC Images For Machine Learning Image-to-image Translation, US Patent No. No. 18/480,653, 4 Oct 2023.

Publications Show All Publications Show Prominent Publications

Journal

Cui, S.*. , Lin, Q.*. , Gui, Y. , Zhang, Y. , Lu, H. , Zhao, H. , Wang, X.*. , Li, X.*. & Jiang, F.*. (2023). CARE as a wearable derived feature linking circadian amplitude to human cognitive functions. NPJ Digital Medicine. 6. 123 doi:10.1038/s41746-023-00865-0
Abdollahi, A.*. , Li, X.*. , Merikanto, I. , Leppänen, M. , Vepsäläinen, H. , Lehto, R. , Ray, C. , Erkkola, M. & Roos, E. (2023). Comparison of actigraphy-measured and parent-reported sleep in association with weight status among preschool children. Journal of Sleep Research. e13960.
Wu, S. , Zhao, J. , de Villiers, J. , Liu, X. , Rolfhus, L. , Sun, X. , Li, X. , Pan, H. , Wang, H. , Zhu, Q. , Dong, Y. , Zhang, Y. & Jiang, F. (2023). Prevalence, co-occurring difficulties, and risk factors of developmental language disorder: first evidence for mandarin-speaking children in a population-based study. Lancet Regional Health–Western Pacific. 100713.
Pan, H. , Zhao, Y. , Wang, H. , Li, X. , Leung, E. , Chen, F. , Cabrera, J. & Tsui, KL. (2021). Influencing Factors of Barthel Index Scores Among the Community Dwelling Elderly in Hong Kong: A Random Intercept Model. BMC Geriatrics. 21: 484.
Lu, Y. , Zhang, H. , Lu, J. , Ding, Q. , Li, X. , Wang, X. , Sun, D. & et al. (2021). Prevalence of Dyslipidemia and Availability of Lipid-Lowering Medications Among Primary Health Care Settings in China. JAMA Network Open. 4(9):e2127573.
Chen, Meng. , Liu, Y. , Tam, JC. , Chan, H. , Li, X. , Chan, C. & Li, WJ. (2021). Wireless AI-Powered IoT Sensors for Laboratory Mice Behavior Recognition. IEEE Internet of Things Journal. 13 p.
Li, X. , Zhang, Y. , Sun, W. , Song, Y. , Dong, S. , Lin, Q. , Zhu, Q. , Jiang, F. & Zhao, H. (2020). A Novel Machine Learning Unsupervised Algorithm for Sleep/Wake Identification Using Actigraphy. Chronobiology International. 1 - 14.
Li, X. & Zhao, H. (2020). Automated Feature Extraction from Population Wearable Device Data Identified Novel Loci Associated with Sleep and Circadian Rhythms. PLOS Genetics. 16(10): e1009089.
Li, X. , Kane, M. , Zhang, Y. , Sun, W. , Song, Y. , Dong, S. , Lin, Q. , Zhu, Q. , Jiang, F. & Zhao, H. (2020). Circadian Rhythm Analysis Using Wearable Device Data: A Novel Penalized Machine Learning Approach. Journal of Medical Internet Research. Accepted.
Lu, Y. , Feng, F. , Lu, J. , Li, X. & et al. (2020). Severe Hypertension in China: Results from the China PEACE Million Persons Project. Journal of Hypertension. Under revision.
Zhang, J*. , Li, X*. , Hawley, N. , Zheng, Z. , Zou, Z. , Tan, L. , Chen, Q. , Shi, H. , Zhao, H. & Zhang, Z. (2018). Trends in the Prevalence of Overweight and Obesity among Chinese School-Age Children and Adolescents from 2010 to 2015. Childhood Obesity. 14(3). 182 - 188.
Zhang, Y. , Zhang, D. , Li, X. , Ip, P. , Ho, F. , Jiang, Y. , Sun, W. , Zhu, Q. , Zhu, W. , Zhang, J. , Zhao, H. , Wang, G. , Shen, X. & Jiang, F. (2017). Daily Time-Use Patterns and Obesity and Mental Health among Primary School Students in Shanghai: A Population-Based Cross-Sectional Study. Scientific Reports. 7(1), 16200.
Lu, J. , Lu, Y. , Wang, X. , Li, X. , Linderman, GC. , Wu, C. , Cheng, X. , Mu, L. , Zhang, H. & et al. (2017). Prevalence, awareness, treatment, and control of hypertension in China: data from 1.7 million adults in a population-based screening study. The Lancet. 390(10112). 2549 - 2558.