Wenchong He - RankMe

30 papers A* 7A 2B 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Uncertainty Quantification Methods for Deep Learning. ACM Comput. Surv. Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Yukun Li
2025	A	`conf`	Accelerate Coastal Ocean Circulation Model with AI Surrogate. IPDPS Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb E. Smith, Zhe Jiang
2025	A*	`conf`	XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. AAAI Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang
2025	J	`jnl`	You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Model. CoRR Wenchong He, Liqian Peng, Zhe Jiang, Alex Go
2024	J	`jnl`	A Deep Learning Approach to Segment Coastal Marsh Tidal Creek Networks from High-Resolution Aerial Imagery. Remote. Sens. Richa Dutt, Collin Ortals, Wenchong He, Zachary Charles Curran, Christine Angelini, Alberto Canestrelli, Zhe Jiang
2024	J	`jnl`	A Fast AI Surrogate for Coastal Ocean Circulation Models. CoRR Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb E. Smith, Zhe Jiang
2024	A*	`conf`	Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2024	J	`jnl`	XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. CoRR 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
2023	A*	`conf`	A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. NeurIPS Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini
2023	J	`jnl`	A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. CoRR Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini
2023	J	`jnl`	A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective. CoRR Wenchong He, Zhe Jiang
2023	—	`conf`	Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. SIGSPATIAL/GIS Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang
2023	J	`jnl`	Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. CoRR Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang
2023	J	`jnl`	Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities. CoRR Wenchong He, Zhe Jiang
2022	J	`jnl`	A Hidden Markov Contour Tree Model for Spatial Structured Prediction. IEEE Trans. Knowl. Data Eng. Arpan Man Sainju, Wenchong He, Zhe Jiang
2022	B	`conf`	An Explainer for Temporal Graph Neural Networks. GLOBECOM Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
2022	J	`jnl`	An Explainer for Temporal Graph Neural Networks. CoRR Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
2022	J	`jnl`	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. Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou
2022	A*	`conf`	Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2022	J	`jnl`	Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. IEEE Trans. Knowl. Data Eng. Wenchong He, Zhe Jiang
2022	J	`jnl`	Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. ACM Trans. Intell. Syst. Technol. Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Arpan Man Sainju, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, E. Lynn Usery
2021	A	`conf`	Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. SDM Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
2021	J	`jnl`	Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. Frontiers Big Data Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
2021	A*	`conf`	Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. KDD Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan
2020	A*	`conf`	CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. KDD Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju
2020	J	`jnl`	Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors. CoRR Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju
2020	J	`jnl`	Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. CoRR Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
2020	J	`jnl`	Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction. CoRR Wenchong He, Zhe Jiang
2020	J	`jnl`	Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. CoRR Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
2020	A*	`conf`	Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. AAAI Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan