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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...
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03/06/2023
Robust Dominant Periodicity Detection for Time Series with Missing Data
Periodicity detection is an important task in time series analysis, but ...
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02/23/2022
NetRCA: An Effective Network Fault Cause Localization Algorithm
Localizing the root cause of network faults is crucial to network operat...
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11/16/2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Self-supervised (SS) learning is a powerful approach for representation ...
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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...
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11/05/2018
Low-Rank Phase Retrieval via Variational Bayesian Learning
In this paper, we consider the problem of low-rank phase retrieval whose...
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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 ...
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08/08/2017