| Bursting the filter bubble: Fairness-aware network link prediction F Masrour, T Wilson, H Yan, PN Tan, A Esfahanian Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 841-848, 2020 | 90 | 2020 |
| A Low Rank Weighted Graph Convolutional Approach to Weather Prediction T Wilson, PN Tan, L Luo 2018 IEEE International Conference on Data Mining (ICDM), 627-636, 2018 | 44 | 2018 |
| MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. J Xu, X Liu, T Wilson, PN Tan, P Hatami, L Luo IJCAI, 2912-2918, 2018 | 14 | 2018 |
| Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting X Liu, T Wilson, PN Tan, L Luo 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 10 | 2019 |
| You have been caute! early detection of compromised accounts on social media C VanDam, F Masrour, PN Tan, T Wilson 2019 IEEE/ACM International Conference on Advances in Social Networks …, 2019 | 9 | 2019 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data AH Galib, A McDonald, T Wilson, L Luo, PN Tan arXiv preprint arXiv:2205.02441, 2022 | 6 | 2022 |
| DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events T Wilson, PN Tan, L Luo Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022 | 6 | 2022 |
| Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models T Wilson, A McDonald, AH Galib, PN Tan, L Luo Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 2 | 2022 |
| Predicting US Drought Monitor Drought Categories with multiple land surface models and machine learning P Hatami, L Luo, L Pei, X Liu, T Wilson, PN Tan AGU Fall Meeting Abstracts 2018, H21J-1770, 2018 | 2 | 2018 |
| A deep learning architecture for long-range forecasting of sea surface temperature anomalies T Wilson, X Liu, PN Tan, P Hatami, L Luo AGU Fall Meeting Abstracts 2018, IN21D-0734, 2018 | 1 | 2018 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data A Hill Galib, A McDonald, T Wilson, L Luo, PN Tan arXiv e-prints, arXiv: 2205.02441, 2022 | | 2022 |
| Deep Learning With Extreme Value Theory for Modeling Precipitation Events T Wilson, PN Tan, L Luo, A Galib AGU Fall Meeting Abstracts 2021, A15Q-07, 2021 | | 2021 |
| Deep Convolutional Networks for Modeling Geo-Spatio-Temporal Relationships and Extremes T Wilson Michigan State University, 2021 | | 2021 |
| Convolutional Methods for Predictive Modeling of Geospatial Data∗ T Wilson, PN Tan, L Luo Proceedings of the 2020 SIAM International Conference on Data Mining, 28-36, 2020 | | 2020 |
| A Deep Learning Architecture for Long-Range Forecasting of Sea Surface Temperature Anomalies X Liu, PN Tan, T Wilson, P Hatami, L Luo AGU Fall Meeting 2018, 2018 | | 2018 |
| Deep Graph Convolution for Weather Prediction T Wilson, X Liu, PN Tan, P Hatami, L Luo AGU Fall Meeting Abstracts 2018, IN21D-0737, 2018 | | 2018 |
