Journal and Conference Articles
Sakal C, Zhao W, Xu W, Li X. Effects of caffeine on accelerometer measured sleep and physical activity among older adults under free-living conditions. BMC Public Health. 2024 Nov 27;24(1):3299. doi: 10.1186/s12889-024-20115-6. PMID: 39604876; PMCID: PMC11600878.
Sakal C, Li T, Li J, Li X. Predicting poor performance on cognitive tests among older adults using wearable device data and machine learning: a feasibility study. NPJ Aging. 2024 Nov 25;10(1):56. doi: 10.1038/s41514-024-00177-x. PMID: 39587119; PMCID: PMC11589133.
Zhang, W., Chen, T., Xu, W., Li, X. SAMamba: Integrating State Space Model for Enhanced Multi-modal Survival Analysis. IEEE International Conference on Bioinformatics & Biomedicine (BIBM) (2024)
Zhang, W., Hui, T., Tse, P., Hill, F., Lau, C., Li, X. High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (2024)
Cao, C., Cao, J., Wang, H., Tsui, K. L., & Li, X.# (2024). Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates. Statistica Sinica. https://doi.org/10.5705/ss.202023.0091
Sakal, C., Li, T., Li, J., & Li, X. (2024). Identifying Predictive Risk Factors for Future Cognitive Impairment Among Chinese Older Adults: Longitudinal Prediction Study. JMIR aging, 7, e53240.
Sakal, C., Li, T., Li, J., Yang, C., & Li, X. (2024). Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study. JMIR aging, 7, e54353.
Cui S*, Lin Q*, Gui Y, Zhang Y, Lu H, Zhao H, Wang X#, Li X.#, Jiang F#. (2023) Care: a novel wearable-derived measure linking circadian amplitude to human cognitive functions. NPJ Digital Medicine. 6, 123. (# corresponding author)
Wu S., Zhao J., de Villiers J., Liu XL., Rolfhus E., 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.
Abbollahi A*, Li X*, Merikanto I, Leppänen M H, 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. (* indicates equal contribution)
Sakal, C., Li, J., Xiang, Y. T., & Li, X. Development and Validation of the Chinese Geriatric Depression Risk Calculator (CGD-Risk): A Screening Tool to Identify Elderly Chinese with Depression. Journal of affective disorders vol. 319 (2022): 428-436. doi:10.1016/j.jad.2022.09.034
Wu S., Zhang D., Li X., Zhao J., Sun X., Shi L., Mao Y., Zhang Y., Jiang F. (2022) Siblings and Early Childhood Development: Evidence from a Population-Based Cohort in Preschoolers from Shanghai. Int. J. Environ. Res. Public Health. 2022, 19(9), 5739.
Su S., Li X., Xu Y., McCall WV., Wang X. (2022) Epidemiology of accelerometer-based sleep parameters in US school-aged children and adults: NHANES 2011-2014. Sci Rep. May 10;12(1):7680.
Li X., Kane M., Zhang Y., Sun W., Song Y., Dong S., Lin Q., Zhu Q., Jiang F., Zhao H. (2021) Circadian Rhythm Analysis Using Wearable Device Data: A Novel Penalized Machine Learning Approach. Journal of Medical Internet Research. Oct 14;23(10): e18403.
Chen M., Liu Y., Tam J. C., Chan H., Li X., Chan C. & Li W. J. (2021) Wireless AI-Powered IoT Sensors for Laboratory Mice Behavior Recognition. IEEE Internet of Things Journal. 13 p.
Lu Y., Fang F., Lu J., Li X., Wang X., Sun D., Jiang Z., Liu J., Tian N., et al. (2021) Severe Hypertension in China: Results from the China PEACE Million Persons Project. Journal of Hypertension. 39, 3, p. 461-470.
Lu Y., Zhang H., Lu J., Ding Q., Li X., Wang X., Sun D., Lin M., Liu J., Feng F., et al. (2021) Lipid Management in the Primary Health Care Settings in China: Results from the China-PEACE Million Persons Project and Primary Health Care Survey. JAMA Network open, 4(9): pp.e2127573-e2127573.
Pan H., Zhao Y., Wang H., Li X., Leung E., Chen F., Cabrera J. and Tsui K.L. (2021). Influencing factors of Barthel index scores among the community-dwelling elderly in Hong Kong: a random intercept model. BMC geriatrics. 21(1), 1-12.
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., 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. Jul;37(7):1002-1015.
Dong W., Jin SC., Allocco A., …, Li X. (28th), & 21 others. (2020) Exome Sequencing Implicates Impaired GABA Signaling and Neuronal Ion Transport in Trigeminal Neuralgia. iScience. 23, 10, 101552.
Dong Y.*, Zhang Y.*, Tong S., Jiang Z., Xu Z., Li X., Wang W. (2019) Analysis of the Seasonal Trend of Congenital Heart Defects. The Journal of Pediatrics, Volume 207, 29-33.e1
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. (Asterisk * indicates equal contribution.)
Lu J., Lu Y., Wang X., Li X., Linderman G.C., Wu C., Cheng X., Mu L., Zhang H., Liu J., et al. (2017) Prevalence, awareness, treatment, and control of hypertension in China: data from 1.7 million adults in a population-based screening study (China PEACE Million Persons Project). The Lancet, 390(10112), 2549-2558.
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.