Lifeng Luo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Tensor Decomposition

Location Prediction

Top Venues

Publications

Yue Deng, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
Unraveling Block Maxima Forecasting Models with Counterfactual Explanation. KDD (2024)
Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series. ICDM (2023)
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)
Tyler Wilson, Pang-Ning Tan, Lifeng Luo
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. AAAI (2022)
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)
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 (2022)
Andrew McDonald, Pang-Ning Tan, Lifeng Luo
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. IJCAI (2022)
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)
Andrew McDonald, Pang-Ning Tan, Lifeng Luo
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. CoRR (2022)
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 (2021)
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) (2021)
Tyler Wilson, Pang-Ning Tan, Lifeng Luo
Convolutional Methods for Predictive Modeling of Geospatial Data. SDM (2020)
Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. AAAI (2020)
Xi Liu, Tyler Wilson, Pang-Ning Tan, Lifeng Luo
Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting. DSAA (2019)
Tyler Wilson, Pang-Ning Tan, Lifeng Luo
A Low Rank Weighted Graph Convolutional Approach to Weather Prediction. ICDM (2018)
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)
Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami
Distribution Preserving Multi-task Regression for Spatio-Temporal Data. ICDM (2018)
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)
Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo
Online Multi-Task Learning Framework for Ensemble Forecasting. IEEE Trans. Knowl. Data Eng. 29 (6) (2017)
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)
Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. SDM (2016)
Jianpeng Xu, Pang-Ning Tan, Lifeng Luo
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting. ICDM (2014)