HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. - Bang An 002; Amin Vahedian; Xun Zhou 001; W. Nick Street; Yanhua Li (SDM, 2022)

SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. - Bang An 002; Xun Zhou 001; Yongjian Zhong; Tianbao Yang (NeurIPS, 2023)

Referee-Meta-Learning for Fast Adaptation of Locational Fairness. - Weiye Chen; Yiqun Xie; Xiaowei Jia; Erhu He; Han Bao 003; Bang An 002; Xun Zhou 001 (AAAI, 2024)

LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. - Bang An 002; Xun Zhou 001; Amin Vahedian; W. Nick Street; Jinping Guan; Jun Luo 007 (ICDM, 2024)

GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. - Bang An 002; Xun Zhou 001; Zirui Zhou; Ronilo J. Ragodos; Zenglin Xu; Jun Luo 007 (AAAI, 2025)