2024
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Unraveling Block Maxima Forecasting Models with Counterfactual Explanation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Spatio-Temporal Multi-Task Learning via Tensor Decomposition.
IEEE Trans. Knowl. Data Eng., 2021
Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators.
Frontiers Big Data, 2021
2020
Convolutional Methods for Predictive Modeling of Geospatial Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
2018
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
A Low Rank Weighted Graph Convolutional Approach to Weather Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018
Distribution Preserving Multi-task Regression for Spatio-Temporal Data.
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Online Multi-Task Learning Framework for Ensemble Forecasting.
IEEE Trans. Knowl. Data Eng., 2017
Assessing the impacts of climate and land use lane cover changes on hydrological droughts in the Yellow River Basin using SWAT model with time-varying parameters.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017
2016
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2014
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014