Luo, Lifeng

7 publications

NeurIPS 2024 FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo

IJCAI 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

IJCAI 2022 COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence Andrew McDonald, Pang-Ning Tan, Lifeng Luo

IJCAI 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

AAAI 2022 DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events Tyler Wilson, Pang-Ning Tan, Lifeng Luo

AAAI 2020 OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo

IJCAI 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