Pang-Ning Tan
11 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (9)
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Conference Polyglot
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Academic Marathon
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(9)
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Conferences
IJCAI (5)
AAAI (4)
ICML (1)
NIPS (1)
Top co-authors
Keywords
anomaly detection
(2)
extreme value theory
(2)
block maxima
(2)
generative model
(2)
deep learning
(2)
deep neural network
(2)
normalizing flow
(2)
time series forecasting
(2)
time series generation
(1)
incremental learning
(1)
variational inference
(1)
conditional generation
(1)
adversarial learning
(1)
trajectory prediction
(1)
self-supervised learning
(1)
online learning
(1)
label noise
(1)
feature representation
(1)
density estimation
(1)
tensor decomposition
(1)
Papers
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
NIPS 2024
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
IJCAI 2023
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
IJCAI 2022
Unsupervised Anomaly Detection by Robust Density Estimation
AAAI 2022
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events
AAAI 2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
IJCAI 2022
Learning Deep Neural Networks under Agnostic Corrupted Supervision
ICML 2021
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
IJCAI 2021
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting
AAAI 2020
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction
AAAI 2020
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling
IJCAI 2018