Clustering-based Location Authority Deep Model in the Next Point-of-Interest Recommendation. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Alan Wee-Chung Liew; Yunwei Zhao (WI/IAT, 2021)

GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Hong Shen 001 (ICDM, 2023)

Global-Aware External Attention Deep Model for Sequential Recommendation. - Tianxing Wang 004; Can Wang 004 (PAKDD (3), 2023)

Embracing LLMs for Point-of-Interest Recommendations. - Tianxing Wang 004; Can Wang 004 (IEEE Intell. Syst., 2024)

Cross-Modal Sequential Point-of-Interest Recommendation with Lightweight Hybrid Fusion Strategy. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Hong Shen 001 (DaWaK, 2025)

Local-Aware Convolutional Modulation for Short-Term Sequential Recommendation. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Hong Shen 001 (DaWaK, 2025)

Point-of-Interest Recommendations and Large Language Models: A Powerful Combination. - Tianxing Wang 004; Can Wang 004 (IEEE Intell. Syst., 2025)

User-based clustering deep model for the sequential point-of-interest recommendation. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Alan Wee-Chung Liew (Knowl. Inf. Syst., 2025)