Publications

Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang (2023). Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. In ACM SIGSPATIAL 2023 [Best Paper Award].

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Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina (2023). A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. In NeurIPS23.

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Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini (2023). A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. In NeurIPS23.

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Wenchong He, Minh N. Vu, Zhe Jiang, My Thai (2022). An Explainer for Temporal Graph Neural Networks. In GLOBECOM 2022.

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Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou (2022). Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. In KDD 2022.

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Wenchong He, Zhe Jiang (2022). Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. In IEEE TKDE 2022.

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Wenchong He, Zhe Jiang, Arpan Man Sainju, Da Yan, Yang Zhou (2022). Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. In ACM TIST 2022.

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Zhe Jiang, Wenchong He, Marcus Kriby, Arpan Man Sainju, Shaowen Wang, Lawrence V. Stanislawski, Ethan J. Shavers, E. Lynn Usery (2022). Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. In ACM TIST 2022.

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Zhe Jiang, Wenchong He, Marcus Kirby, Sultan Asiri, Da Yan (2021). Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. In ACM SIGKDD 2021.

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Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju (2021). CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. In ACM SIGKDD 2020.

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Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan (2021). Deep neural network for 3D surface segmentation based on contour tree hierarchy. In SDM 2021.

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