| 2022 | AAAI | DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. | Tyler Wilson, Pang-Ning Tan, Lifeng Luo |
| 2022 | IJCAI | DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. | Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan |
| 2022 | KDD | Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. | Tyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo |
| 2020 | AAAI | Bursting the Filter Bubble: Fairness-Aware Network Link Prediction. | Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian |
| 2020 | SDM | Convolutional Methods for Predictive Modeling of Geospatial Data. | Tyler Wilson, Pang-Ning Tan, Lifeng Luo |
| 2019 | DSAA | Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting. | Xi Liu, Tyler Wilson, Pang-Ning Tan, Lifeng Luo |
| 2018 | ICDM | A Low Rank Weighted Graph Convolutional Approach to Weather Prediction. | Tyler Wilson, Pang-Ning Tan, Lifeng Luo |
| 2018 | IJCAI | MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. | Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo |