Publications

Listed in reversed chronological order.

2026

  1. ICLR 26
    Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling
    Tingsong Xiao, Yao An Lee, Zelin Xu, Yupu Zhang, Zibo Liu, Yu Huang, Jiang Bian, Serena Jingchuan Guo, and Zhe Jiang
    In ICLR, 2026
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2025

  1. CSUR
    A survey on uncertainty quantification methods for deep learning
    Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, and Yukun Li
    ACM Computing Surveys, 2025
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  2. NeurIPS 25
    DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
    Yupu Zhang, Zelin Xu, Tingsong Xiao, Gustavo Seabra, Yanjun Li, Chenglong Li, and Zhe Jiang
    In NeurIPS, 2025
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  3. SIGSPATIAL 25
    Scalable Terrain-Aware Flood Extent Mapping on Earth Imagery
    Saugat Adhikari, Da Yan, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Sainju, and Yang Zhou
    In SIGSPATIAL, 2025
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  4. SIGSPATIAL 25
    Learning Individual Movement Shifts After Urban Disruptions with Social Infrastructure Reliance
    Shangde Gao*, Zelin Xu*, and Zhe Jiang
    In SIGSPATIAL, 2025
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  5. TMLR
    Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
    Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Haibo Wang, and Shigang Chen
    Transactions on Machine Learning Research, 2025
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  6. ICML 25
    CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
    Zelin Xu, Yupu Zhang, Tingsong Xiao, Maitane Olabarrieta Lizaso, Jose Maria Gonzalez Ondina, Zibo Liu, Shigang Chen, and Zhe Jiang
    In ICML, 2025
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  7. IPDPS 25
    Accelerate Coastal Ocean Circulation Model with AI Surrogate
    Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb Smith, and Zhe Jiang
    In IPDPS, 2025
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  8. AAAI 25
    XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
    Tingsong Xiao, Zelin Xu, Wenchong He, Zhenkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, and Zhe Jiang
    In AAAI, 2025
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  9. TSAS
    Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data
    Saugat Adhikari, Da Yan, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Sainju, and Yang Zhou
    ACM Transactions on Spatial Algorithms and Systems, 2025
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2024

  1. SDM 24
    Foundation Models for Spatiotemporal Tasks in the Physical World
    Zhe Jiang, Yu Wang, and Zelin Xu
    In SDM, 2024
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  2. AAAI 24
    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, and Yang Zhou
    In AAAI, 2024
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2023

  1. NeurIPS 23
    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, and Christine Angelini
    In NeurIPS, 2023
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  2. SIGSPATIAL 23
    Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery
    Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, and Zhe Jiang
    In SIGSPATIAL, 2023
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