A New Shape Function Based Spatiotemporal Interpolation Method. - Lixin Li 002; Youming Li; Reinhard Piltner (CDB, 2004)

Voronoi Region-Based Spatiotemporal GIS Databases. - Lixin Li 002; Reinhard Piltner (DG.O, 2004)

A study of smart growth initiatives using GIS: the case of Austin, Texas. - Wei Tu; Lixin Li 002; Reinhard Piltner (DG.O, 2005)

A Spatiotemporal Database for Ozone in the Conterminous U.S. - Lixin Li 002; Xingyou Zhang; Reinhard Piltner (TIME, 2006)

Spatiotemporal Interpolation Methods for Air Pollution Exposure. - Lixin Li 002; Xingyou Zhang; James B. Holt; Jie Tian; Reinhard Piltner (SARA, 2011)

Disentangle crime hot spots and displacements in space and time: an analysis for Chicago from 2001 to 2016. - Kai Wang 026; Xiaolu Zhou; Lixin Li 002 (GeoHumanities@SIGSPATIAL, 2017)

Efficient spatiotemporal interpolation with spark machine learning. - Weitian Tong; Lixin Li 002; Xiaolu Zhou; Jason Franklin (Earth Sci. Informatics, 2019)

Deep learning spatiotemporal air pollution data in China using data fusion. - Xiaolu Zhou; Weitian Tong; Lixin Li 002 (Earth Sci. Informatics, 2020)

Using animations to teach string matching effectively. - Y. Daniel Liang; Lixin Li 002; Weitian Tong (J. Comput. Sci. Coll., 2020)

PM2.5 forecasting based on transformer neural network and data embedding. - Jordan Limperis; Weitian Tong; Felix Hamza-Lup; Lixin Li 002 (Earth Sci. Informatics, 2023)

Robust Transformer-based model for spatiotemporal PM2.5 prediction in California. - Weitian Tong; Jordan Limperis; Felix Hamza-Lup; Yao Xu; Lixin Li 002 (Earth Sci. Informatics, 2024)

Enhancing Flight Delay Predictions Using Network Centrality Measures. - Joseph Ajayi; Yao Xu; Lixin Li 002; Kai Wang 026 (Inf., 2024)