Research @ Faculty of Science 2023

DEPARTMENT OF APPLIED MATHEMATICS 86 Email tingeric.li@polyu.edu.hk Qualification BSc (Zhejiang University) MPhil (The Hong Kong University of Science and Technology) PhD (The Hong Kong University of Science and Technology) ORCID ID 0000-0002-3880-8609 Dr LI Ting Assistant Professor Research Overview Dr Li's research focuses on the development of novel statistical learning methods for complex data analysis, including network data analysis, brain data analysis, imaging genetics and genomics. Not only has he proposed new methods and explored their theoretical properties, he has also made some scientific discoveries in many large-scale real data applications. He has handled huge database, such as UK Biobank, Alzheimer’s Disease Neuroimaging Initiative (ADNI) and Adolescent Brain Cognitive Development (ABCD) Study. His research papers have appeared in high impact journals, such as Annals of Statistics, Human Brain Mapping and Human Genomics. Representative Publications • Dai, W., Li, C., Li, T., Hu, J., Zhang, H. (2022). Super-taxon in human microbiome are identified to be associated with colorectal cancer. BMC Bioinformatics. 23, 243. • Jing, B., Li, T., Ying, N., & Yu, X. (2022). Community Detection in Sparse Networks Using the Symmetrized Laplacian Inverse Matrix (SLIM). Statistica Sinica. 32(1), 1-22. • Li, T., Hu, J., Wang, S., & Zhang, H. (2021). Super‐variants identification for brain connectivity. Human Brain Mapping, 42(5), 1304-1312. • Hu, J., Li, C., Wang, S., Li, T., & Zhang, H. (2021). Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data. Human Genomics, 15(1), 10. • Jing, B. Y., Li, T., Lyu, Z., & Xia, D. (2021). Community detection on mixture multi-layer networks via regularized tensor decomposition. Annals of Statistics. 49(6), 31813205. • Yu, X., Li, T., Jing, B., Ying, N. (2021). Collaborative Filtering with the Awareness of Social Networks. Journal of Business and Economics Statistics. 40(4), 1629–1641. • Hu, J., Li, T., Wang, S., & Zhang, H. (2020). Supervariants identification for breast cancer. Genetic Epidemiology, 44(8), 934-947.

RkJQdWJsaXNoZXIy Mjc5OTU=