Lifeng Luo
7 papers · 2018–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(6)
Data Science & Analytics
(4)
Methods
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Architectures
(2)
Models
(2)
Optimization & Theory
(2)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Keywords
generative model
(2)
deep learning
(2)
extreme value theory
(2)
time series forecasting
(2)
block maxima
(2)
incremental learning
(1)
trajectory prediction
(1)
variational inference
(1)
tensor decomposition
(1)
time series generation
(1)
self-supervised learning
(1)
missing value imputation
(1)
heavy-tailed distribution
(1)
diffusion model
(1)
normalizing flow
(1)
convolutional neural network
(1)
conditional generation
(1)
spatio-temporal learning
(1)
ensemble model
(1)
ensemble learning
(1)
Papers
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
NeurIPS 2024
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
IJCAI 2023
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
IJCAI 2022
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
IJCAI 2022
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events
AAAI 2022
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting
AAAI 2020
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling
IJCAI 2018