Dazhou Yu

19 papers A* 5A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Spatial-Agent: Agentic Geo-spatial Reasoning with Scientific Core Concepts.
CoRR
Riyang Bao, Cheng Yang, Dazhou Yu, Zhexiang Tang, Gengchen Mai, Liang Zhao
2025 A* conf
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph.
ICLR
Dazhou Yu, Genpei Zhang, Liang Zhao
2025 J jnl
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph.
CoRR
Dazhou Yu, Genpei Zhang, Liang Zhao
2025 J jnl
Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Spatial Reasoning Questions.
CoRR
Dazhou Yu, Riyang Bao, Gengchen Mai, Liang Zhao
2024 J jnl
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.
ACM Comput. Surv.
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
2024 A* conf
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.
KDD
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
2024 J jnl
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.
CoRR
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
2024 A conf
STES: A Spatiotemporal Explanation Supervision Framework.
SDM
Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao
2024 A* conf
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.
KDD
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
2024 J jnl
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.
CoRR
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
2024 — conf
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories.
SIGSPATIAL/GIS
Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle
2024 J jnl
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories.
CoRR
Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle
2023 J jnl
Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision.
ACM Trans. Spatial Algorithms Syst.
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
2023 J jnl
Graph Neural Network for spatiotemporal data: methods and applications.
CoRR
Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao
2022 A* conf
Deep Spatial Domain Generalization.
ICDM
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
2022 J jnl
Deep Spatial Domain Generalization.
CoRR
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
2022 — conf
Deep geometric neural network for spatial interpolation.
SIGSPATIAL/GIS
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
2022 J jnl
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.
CoRR
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
2021 A* conf
GNES: Learning to Explain Graph Neural Networks.
ICDM
Yuyang Gao, Tong Steven Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Ray Hong, Liang Zhao