Dazhou Yu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Spatial Interpolation

Knowledge Acquisition

Top Venues

Publications

Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph. KDD (2024)
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. CoRR (2024)
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. KDD (2024)
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph. CoRR (2024)
Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao
STES: A Spatiotemporal Explanation Supervision Framework. SDM (2024)
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning. ACM Comput. Surv. 56 (7) (2024)
Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao
Graph Neural Network for spatiotemporal data: methods and applications. CoRR (2023)
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision. ACM Trans. Spatial Algorithms Syst. 9 (3) (2023)
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
Deep geometric neural network for spatial interpolation. SIGSPATIAL/GIS (2022)
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning. CoRR (2022)
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
Deep Spatial Domain Generalization. CoRR (2022)
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
Deep Spatial Domain Generalization. ICDM (2022)
Yuyang Gao, Tong Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Hong, Liang Zhao
GNES: Learning to Explain Graph Neural Networks. ICDM (2021)