Tan, Pang-Ning

12 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 2022 Unsupervised Anomaly Detection by Robust Density Estimation Boyang Liu, Pang-Ning Tan, Jiayu Zhou

ICML 2021 Learning Deep Neural Networks Under Agnostic Corrupted Supervision Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou

IJCAI 2021 RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou

AAAI 2020 Bursting the Filter Bubble: Fairness-Aware Network Link Prediction Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian

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

ECML-PKDD 2013 Position Preserving Multi-Output Prediction Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska