| 2025 | AAAI | XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. | Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang |
| 2024 | AAAI | 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 |
| 2022 | GLOBECOM | An Explainer for Temporal Graph Neural Networks. | Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai |
| 2022 | KDD | 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 |
| 2021 | KDD | Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. | Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan |
| 2021 | SDM | Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. | Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan |
| 2020 | AAAI | Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. | Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan |
| 2020 | KDD | CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. | Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju |