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

Wearable Device Data Analysis
Medical Imaging Analysis
Multimodal Data Analysis
Precision Medicine
Chronic Disease Management
Digital Twins

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.

Prof. Li’s research centers on the development of innovative statistical and computational methods for wearable device data, with impactful applications in sleep, physical activity, circadian rhythms, and geriatric health. Her methods for analyzing sleep and circadian patterns have been widely adopted in studies locally and worldwide across Asia, Europe, and North America. In addition, Dr. Li develops novel approaches for medical imaging, genetics and multimodal data analysis. By integrating diverse health data sources and leveraging cutting-edge AI models, she aims to advance AI agents and healthcare systems for health monitoring and digital health management.

Openings:

ITF Postdocs: I am looking for highly motivated postdoctoral fellows. Please send me your CV by email if you are interested.

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 AI for drug discovery, digital health management and machine learning/deep learning projects. Please send me your CV and transcripts by email 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.
Dec 2024 “Gold Medal” Asia Exhibition of Innovations and Inventions Hong Kong.

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

Zhang, W. , Chu, J. , Liu, X. , Chen, T. & Li, X. (2026). Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics. AAAI Conference on Artificial Intelligence 2026.
Cao, C. , Cao, J. , Pan, H. , Zhang, Y. , Jiang, F. & Li, X. (2025). An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data. Statistics in Medicine. 44(18-19), e70222.
Zhang, W. , Liu, X. , Chen, T. , Xu, W. , Sakal, C. , Nie, X. , Wang, L. & Li, X. (2025). Bridging Imaging and Genomics: Domain Knowledge Guided Spatial Transcriptomics Analysis. Information Fusion.
Zhang, W. , Xu, W. , Chen, T. , Sakal, C. & Li, X. (2025). Integrating Images and Genomics for Multi-Modal Cancer Survival Analysis via Mixture of Experts. Information Fusion.
Zhang, W. , Hui, TH. , Tse, PY. , Hill, F. , Lau, C. & Li, X. (2024). High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning. MICCAI.
Collin, S. , Li, T. , Li, J. & Li, X. (2024). Predicting poor performance on cognitive tests among older adults using wearable device data and machine learning: a feasibility study. npj Aging. 10, 56.
Zhang, W. , Chen, T. , Xu, W. & Li, X. (2024). SAMamba: Integrating State Space Model for Enhanced Multi-modal Survival Analysis. IEEE BIBM.
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.
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.
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.