research
∙
06/14/2023
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events
Accurate prediction of electric load is crucial in power grid planning a...
share
research
∙
03/06/2023
Robust Dominant Periodicity Detection for Time Series with Missing Data
Periodicity detection is an important task in time series analysis, but ...
research
∙
02/23/2022
NetRCA: An Effective Network Fault Cause Localization Algorithm
Localizing the root cause of network faults is crucial to network operat...
research
∙
11/16/2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Self-supervised (SS) learning is a powerful approach for representation ...
research
∙
03/24/2019
Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing
There has been a growing interest in wideband spectrum sensing due to it...
research
∙
11/05/2018
Low-Rank Phase Retrieval via Variational Bayesian Learning
In this paper, we consider the problem of low-rank phase retrieval whose...
research
∙
11/06/2017
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning
In this paper, we consider the block-sparse signals recovery problem in ...
research
∙
08/08/2017
