Dazhou Yu

According to our database, Dazhou Yu authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.

Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao

ACM Comput. Surv., July, 2024

STES: A Spatiotemporal Explanation Supervision Framework.

Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.

Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.

Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories.

Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2023

Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision.

Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao

ACM Trans. Spatial Algorithms Syst., September, 2023

Graph Neural Network for spatiotemporal data: methods and applications.

Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao

CoRR, 2023

2022

Deep Spatial Domain Generalization.

Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao

Proceedings of the IEEE International Conference on Data Mining, 2022

Deep geometric neural network for spatial interpolation.

Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021

GNES: Learning to Explain Graph Neural Networks.

Yuyang Gao, Tong Steven Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Ray Hong, Liang Zhao

Proceedings of the IEEE International Conference on Data Mining, 2021