GNES: Learning to Explain Graph Neural Networks. - Yuyang Gao; Tong Steven Sun; Rishab Bhatt; Dazhou Yu; Sungsoo Ray Hong; Liang Zhao 002 (ICDM, 2021)

Deep geometric neural network for spatial interpolation. - Minxing Zhang; Dazhou Yu; Yun Li 005; Liang Zhao 002 (SIGSPATIAL/GIS, 2022)

Deep Spatial Domain Generalization. - Dazhou Yu; Guangji Bai; Yun Li 005; Liang Zhao 002 (ICDM, 2022)

Graph Neural Network for spatiotemporal data: methods and applications. - Yun Li 005; Dazhou Yu; Zhenke Liu; Minxing Zhang; Xiaoyun Gong; Liang Zhao 002 (CoRR, 2023)

Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision. - Minxing Zhang; Dazhou Yu; Yun Li 005; Liang Zhao 002 (ACM Trans. Spatial Algorithms Syst., 2023)

Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories. - Zheng Zhang 047; Hossein Amiri; Dazhou Yu; Yuntong Hu; Liang Zhao 002; Andreas Züfle (SIGSPATIAL/GIS, 2024)

Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. - Dazhou Yu; Xiaoyun Gong; Yun Li 005; Meikang Qiu; Liang Zhao 002 (KDD, 2024)

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph. - Dazhou Yu; Yuntong Hu; Yun Li 005; Liang Zhao 002 (KDD, 2024)

STES: A Spatiotemporal Explanation Supervision Framework. - Dazhou Yu; Binbin Chen; Yun Li 005; Suman Dhakal; Yifei Zhang 006; Zhenke Liu; Minxing Zhang; Jie Zhang; Liang Zhao 002 (SDM, 2024)

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning. - Yuyang Gao; Siyi Gu; Junji Jiang; Sungsoo Ray Hong; Dazhou Yu; Liang Zhao 002 (ACM Comput. Surv., 2024)

PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph. - Dazhou Yu; Genpei Zhang; Liang Zhao 002 (ICLR, 2025)

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Spatial Reasoning Questions. - Dazhou Yu; Riyang Bao; Gengchen Mai; Liang Zhao 002 (CoRR, 2025)