Wenchong He

According to our database, Wenchong He authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Deep Learning Approach to Segment Coastal Marsh Tidal Creek Networks from High-Resolution Aerial Imagery.

Richa Dutt, Collin Ortals, Wenchong He, Zachary Charles Curran, Christine Angelini, Alberto Canestrelli, Zhe Jiang

Remote. Sens., July, 2024

A Fast AI Surrogate for Coastal Ocean Circulation Models.

Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb Smith, Zhe Jiang

CoRR, 2024

XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction.

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

CoRR, 2024

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery.

Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities.

Wenchong He, Zhe Jiang

CoRR, 2023

A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective.

Wenchong He, Zhe Jiang

CoRR, 2023

A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space.

Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery.

Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

A Hidden Markov Contour Tree Model for Spatial Structured Prediction.

Arpan Man Sainju, Wenchong He, Zhe Jiang

IEEE Trans. Knowl. Data Eng., 2022

Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction.

Wenchong He, Zhe Jiang

IEEE Trans. Knowl. Data Eng., 2022

Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels.

Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Arpan Man Sainju, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, E. Lynn Usery

ACM Trans. Intell. Syst. Technol., 2022

Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training.

Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou

ACM Trans. Intell. Syst. Technol., 2022

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery.

Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

An Explainer for Temporal Graph Neural Networks.

Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai

Proceedings of the IEEE Global Communications Conference, 2022

2021

Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint.

Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen

Frontiers Big Data, 2021

Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy.

Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors.

Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors.

Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju

CoRR, 2020

Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint.

Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen

CoRR, 2020

CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis.

Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint.

Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020