Lifeng Luo

According to our database, Lifeng Luo authored at least 19 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning.

Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series.

Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo

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.

Tyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo

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.

Andrew McDonald, Pang-Ning Tan, Lifeng Luo

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.

Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events.

Tyler Wilson, Pang-Ning Tan, Lifeng Luo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Spatio-Temporal Multi-Task Learning via Tensor Decomposition.

Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo

IEEE Trans. Knowl. Data Eng., 2021

Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators.

Pouyan Hatami Bahman Beiglou, Lifeng Luo, Pang-Ning Tan, Lisi Pei

Frontiers Big Data, 2021

2020

Convolutional Methods for Predictive Modeling of Geospatial Data.

Tyler Wilson, Pang-Ning Tan, Lifeng Luo

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting.

Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting.

Xi Liu, Tyler Wilson, Pang-Ning Tan, Lifeng Luo

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.

Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Low Rank Weighted Graph Convolutional Approach to Weather Prediction.

Tyler Wilson, Pang-Ning Tan, Lifeng Luo

Proceedings of the IEEE International Conference on Data Mining, 2018

Distribution Preserving Multi-task Regression for Spatio-Temporal Data.

Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Online Multi-Task Learning Framework for Ensemble Forecasting.

Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo

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.

Yunyun Li, Jianxia Chang, Lifeng Luo

Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

2016

GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction.

Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition.

Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo

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.

Jianpeng Xu, Pang-Ning Tan, Lifeng Luo

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014