| 2026 | ACL | Spatial-Agent: Agentic Geo-spatial Reasoning with Scientific Core Concepts. | Riyang Bao, Cheng Yang, Dazhou Yu, Zhexiang Tang, Gengchen Mai, Liang Zhao |
| 2026 | ACL | Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions. | Dazhou Yu, Riyang Bao, Ruiyu Ning, Jinghong Peng, Gengchen Mai, Liang Zhao |
| 2025 | ICLR | PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph. | Dazhou Yu, Genpei Zhang, Liang Zhao |
| 2024 | KDD | Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. | Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao |
| 2024 | KDD | PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph. | Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao |
| 2024 | SDM | STES: A Spatiotemporal Explanation Supervision Framework. | Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao |
| 2022 | ICDM | Deep Spatial Domain Generalization. | Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao |
| 2021 | ICDM | GNES: Learning to Explain Graph Neural Networks. | Yuyang Gao, Tong Steven Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Ray Hong, Liang Zhao |