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2020 – today
- 2024
[c18]Yue Deng
, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo:
Unraveling Block Maxima Forecasting Models with Counterfactual Explanation. KDD 2024: 562-573- [c17]Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo:
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation. NeurIPS 2024 - 2023
- [c16]Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo:
SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series. ICDM 2023: 1031-1036 - [c15]Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo:
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning. IJCAI 2023: 3723-3731 - 2022
- [c14]Tyler Wilson, Pang-Ning Tan, Lifeng Luo:
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. AAAI 2022: 4245-4253 - [c13]Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan:
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. IJCAI 2022: 2980-2986 - [c12]Andrew McDonald, Pang-Ning Tan, Lifeng Luo:
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. IJCAI 2022: 3328-3334 - [c11]Tyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo:
Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. KDD 2022: 2020-2028 - [i2]Andrew McDonald, Pang-Ning Tan, Lifeng Luo:
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. CoRR abs/2205.01224 (2022) - [i1]Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan:
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. CoRR abs/2205.02441 (2022) - 2021
- [j3]Pouyan Hatami Bahman Beiglou, Lifeng Luo, Pang-Ning Tan, Lisi Pei:
Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators. Frontiers Big Data 4: 750536 (2021) - [j2]Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo:
Spatio-Temporal Multi-Task Learning via Tensor Decomposition. IEEE Trans. Knowl. Data Eng. 33(6): 2764-2775 (2021) - 2020
- [c10]Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo:
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. AAAI 2020: 963-970 - [c9]Tyler Wilson, Pang-Ning Tan, Lifeng Luo:
Convolutional Methods for Predictive Modeling of Geospatial Data. SDM 2020: 28-36
2010 – 2019
- 2019
- [c8]Xi Liu, Tyler Wilson, Pang-Ning Tan, Lifeng Luo:
Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting. DSAA 2019: 41-50 - 2018
- [c7]Tyler Wilson, Pang-Ning Tan, Lifeng Luo:
A Low Rank Weighted Graph Convolutional Approach to Weather Prediction. ICDM 2018: 627-636 - [c6]Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami:
Distribution Preserving Multi-task Regression for Spatio-Temporal Data. ICDM 2018: 1134-1139 - [c5]Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo:
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. IJCAI 2018: 2912-2918 - 2017
- [j1]Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo:
Online Multi-Task Learning Framework for Ensemble Forecasting. IEEE Trans. Knowl. Data Eng. 29(6): 1268-1280 (2017) - [c4]Yunyun Li, Jianxia Chang, Lifeng Luo:
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. Agro-Geoinformatics 2017: 1-6 - 2016
- [c3]Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo:
WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition. IEEE BigData 2016: 522-531 - [c2]Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou:
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. SDM 2016: 657-665 - 2014
- [c1]Jianpeng Xu, Pang-Ning Tan, Lifeng Luo:
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting. ICDM 2014: 1061-1066
Coauthor Index
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