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2020 – today
- 2024
[j6]Richa Dutt
, Collin Ortals, Wenchong He, Zachary Charles Curran, Christine Angelini, Alberto Canestrelli, Zhe Jiang:
A Deep Learning Approach to Segment Coastal Marsh Tidal Creek Networks from High-Resolution Aerial Imagery. Remote. Sens. 16(14): 2659 (2024)- [c9]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI 2024: 22457-22465 - [i10]Tingsong Xiao, Zelin Xu, Wenchong He, Jim Su, Yupu Zhang, Raymond Opoku, Ronald L. Ison, Jason Petho, Jiang Bian, Patrick James Tighe, Parisa Rashidi, Zhe Jiang:
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. CoRR abs/2402.02258 (2024) - 2023
- [c8]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang:
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. SIGSPATIAL/GIS 2023: 48:1-48:10 - [c7]Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini:
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. NeurIPS 2023 - [i9]Wenchong He, Zhe Jiang:
A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective. CoRR abs/2302.13425 (2023) - [i8]Wenchong He, Zhe Jiang:
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities. CoRR abs/2311.02485 (2023) - [i7]Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini:
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. CoRR abs/2311.04434 (2023) - [i6]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang:
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. CoRR abs/2312.07767 (2023) - 2022
- [j5]Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Arpan Man Sainju, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, E. Lynn Usery:
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. ACM Trans. Intell. Syst. Technol. 13(2): 25:1-25:20 (2022) - [j4]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou:
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. ACM Trans. Intell. Syst. Technol. 13(2): 26:1-26:22 (2022) - [j3]Arpan Man Sainju, Wenchong He, Zhe Jiang:
A Hidden Markov Contour Tree Model for Spatial Structured Prediction. IEEE Trans. Knowl. Data Eng. 34(4): 1530-1543 (2022) - [j2]Wenchong He, Zhe Jiang:
Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. IEEE Trans. Knowl. Data Eng. 34(6): 2912-2920 (2022) - [c6]Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai:
An Explainer for Temporal Graph Neural Networks. GLOBECOM 2022: 6384-6389 - [c5]Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD 2022: 554-564 - [i5]Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai:
An Explainer for Temporal Graph Neural Networks. CoRR abs/2209.00807 (2022) - 2021
- [j1]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen:
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. Frontiers Big Data 4: 707951 (2021) - [c4]Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan:
Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. KDD 2021: 767-775 - [c3]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan:
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. SDM 2021: 253-261 - 2020
- [c2]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan:
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. AAAI 2020: 898-905 - [c1]Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju:
CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. KDD 2020: 2214-2224 - [i4]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan:
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. CoRR abs/2008.11269 (2020) - [i3]Wenchong He, Zhe Jiang:
Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction. CoRR abs/2008.12442 (2020) - [i2]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen:
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. CoRR abs/2009.01072 (2020) - [i1]Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju:
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors. CoRR abs/2010.00757 (2020)
Coauthor Index
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