Luyi Bai

Luyi Bai received his PhD degree from Northeastern University, China. He is an academic visiting scholar at University of Leicester, UK. His current research interests include knowledge graph, spatiotemporal data management, uncertain databases, and fuzzy databases, etc. He has published over 40 papers in several Journals such as ACM Transactions on Knowledge Discovery from Data, World Wide Web Journal, Information Sciences, Knowledge-Based Systems, Neural Networks, and Expert Systems with Applications, etc. He has also published over 20 papers in several Conferences such as WWW, DASFAA, and KSEM, etc. He has authored one monograph published by Springer. He is a member of IEEE, ACM, CCF, and CAAI.

Publications

Uncertain Spatiotemporal Data Management for the Semantic Web
Luyi Bai, Lin Zhu. © 2024. 518 pages.
In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our...
Query Relaxation and Result Ranking for Uncertain Spatiotemporal XML Data
Luyi Bai, Jinyao Wang, Chengyu Zhang, Xiangfu Meng. © 2022. 19 pages.
Due to the widespread uses of uncertain spatiotemporal data, web ordinary users have access to query these data in various ways. However, users often cannot accurately give query...
Prediction of Uncertain Spatiotemporal Data Based on XML Integrated With Markov Chain
Luyi Bai, Nan Li, Chengjia Sun, Yuan Zhao. © 2019. 30 pages.
Since XML could benefit data management greatly and Markov chains have an advantage in data prediction, the authors study the methodology of predicting uncertain spatiotemporal...
Spatiotemporal Query Algebra Based on Native XML
Luyi Bai, Changming Xu. © 2016. 19 pages.
A formal algebra is essential for applying standard database-style query optimization to XML queries. We propose a spatiotemporal XML data model and develop such an algebra based...