Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001 (AAAI, 2020)

CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. - Wenchong He; Zhe Jiang 001; Chengming Zhang 006; Arpan Man Sainju (KDD, 2020)

Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001; Haiquan Chen (CoRR, 2020)

Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors. - Zhe Jiang 001; Marcus Stephen Kirby; Wenchong He; Arpan Man Sainju (CoRR, 2020)

Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. - Zhe Jiang 001; Wenchong He; Marcus Stephen Kirby; Sultan Asiri; Da Yan 001 (KDD, 2021)

Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. - Wenchong He; Arpan Man Sainju; Zhe Jiang 001; Da Yan 001 (SDM, 2021)

Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001; Haiquan Chen (Frontiers Big Data, 2021)

An Explainer for Temporal Graph Neural Networks. - Wenchong He; Minh N. Vu; Zhe Jiang 001; My T. Thai (GLOBECOM, 2022)

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. - Wenchong He; Zhe Jiang 001; Marcus Kriby; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (KDD, 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 001; Da Yan 001; Yang Zhou 001 (ACM Trans. Intell. Syst. Technol., 2022)

Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. - Zhe Jiang 001; Wenchong He; Marcus Stephen Kirby; Arpan Man Sainju; Shaowen Wang 001; Lawrence V. Stanislawski; Ethan Shavers; E. Lynn Usery (ACM Trans. Intell. Syst. Technol., 2022)

Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. - Wenchong He; Zhe Jiang 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Hidden Markov Contour Tree Model for Spatial Structured Prediction. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001 (SIGSPATIAL/GIS, 2023)

A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. - Wenchong He; Zhe Jiang 001; Tingsong Xiao; Zelin Xu 001; Shigang Chen; Ronald Fick; Miles Medina; Christine Angelini (NeurIPS, 2023)

A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective. - Wenchong He; Zhe Jiang 001 (CoRR, 2023)

Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities. - Wenchong He; Zhe Jiang 001 (CoRR, 2023)

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001; Shigang Chen; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (AAAI, 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Jim Su; Yupu Zhang; Raymond Opoku; Ronald L. Ison; Jason Petho; Jiang Bian 001; Patrick James Tighe; Parisa Rashidi; Zhe Jiang 001 (CoRR, 2024)

A Fast AI Surrogate for Coastal Ocean Circulation Models. - Zelin Xu 001; Jie Ren; Yupu Zhang; Jose Maria Gonzalez Ondina; Maitane Olabarrieta; Tingsong Xiao; Wenchong He; Zibo Liu; Shigang Chen; Kaleb E. Smith; Zhe Jiang 001 (CoRR, 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 001 (Remote. Sens., 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Zhengkun Xiao; Yupu Zhang; Zibo Liu; Shigang Chen; My T. Thai; Jiang Bian 001; Parisa Rashidi; Zhe Jiang 001 (AAAI, 2025)

Accelerate Coastal Ocean Circulation Model with AI Surrogate. - Zelin Xu 001; Jie Ren; Yupu Zhang; Jose Maria Gonzalez Ondina; Maitane Olabarrieta; Tingsong Xiao; Wenchong He; Zibo Liu; Shigang Chen; Kaleb E. Smith; Zhe Jiang 001 (IPDPS, 2025)

You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Model. - Wenchong He; Liqian Peng; Zhe Jiang; Alex Go (CoRR, 2025)