Huang Li
Data science
Education
2009 - 2012
B.Eng., University of Bristol
2013 - 2014
MPhil., Cambridge University
2015 - 2016
M.S., National University of Singapore
2019 - 2023
Ph.D., Tsinghua University
Projects & Publications
Projects
Research on data science theories and applications related to Shuohuang railway transportation
Intelligent layout design of Alibaba Cainiao Station
Analysis and research on key technologies of smart city piple network (with Huawei)
Research on federated learning algorithms for distributed eletronic medical records
Scient visualisation research
Research on association prediction algorithms in biological networks based on machine learning
Selected publications
Huang L, Zhang L, Chen X. Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models. Briefings in Bioinformatics. 2022 Sep;23(5):bbac358.
黄立 , 张静怡 , 吴昊 , & 路奇 . (2020). 针对气味数据的交互式聚类可视分析框架 . 计算机辅助设计与图形学学报
Huang L, Yin Y, Fu Z, Zhang S, Deng H, Liu D. LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data. Plos one. 2020 Apr 17;15(4):e0230706.
Huang L, Shea AL, Qian H, Masurkar A, Deng H, Liu D. Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records. Journal of Biomedical Informatics. 2019 Nov 1;99:103291.