41 citations · 98 across the 11 of their papers we have counts for
11 papers
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events
Hengbo Liu, Ziqing Ma, Linxiao Yang +5
Accurate prediction of electric load is crucial in power grid planning and management. In this paper, we solve the electric load forecasting problem under extreme events such as sc…
NetRCA: An Effective Network Fault Cause Localization Algorithm
Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang +4
Localizing the root cause of network faults is crucial to network operation and maintenance. However, due to the complicated network architectures and wireless environments, as wel…
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition
Linxiao Yang, Qingsong Wen, Bo Yang +1
Many real-world time series exhibit multiple seasonality with different lengths. The removal of seasonal components is crucial in numerous applications of time series, including fo…
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen +2
Self-supervised (SS) learning is a powerful approach for representation learning using unlabeled data. Recently, it has been applied to Generative Adversarial Networks (GAN) traini…
Low-Rank Phase Retrieval via Variational Bayesian Learning
Kaihui Liu, Jiayi Wang, Zhengli Xing +2
In this paper, we consider the problem of low-rank phase retrieval whose objective is to estimate a complex low-rank matrix from magnitude-only measurements. We propose a hierarchi…
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning
Hang Xiao, Zhengli Xing, Linxiao Yang +2
In this paper, we consider the block-sparse signals recovery problem in the context of multiple measurement vectors (MMV) with common row sparsity patterns. We develop a new method…
Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems
Zhou Zhou, Jun Fang, Linxiao Yang +3
We consider the problem of downlink channel estimation for millimeter wave (mmWave) MIMO-OFDM systems, where both the base station (BS) and the mobile station (MS) employ large ant…
Channel Estimation for Millimeter Wave Multiuser MIMO Systems via PARAFAC Decomposition
Zhou Zhou, Jun Fang, Linxiao Yang +3
We consider the problem of uplink channel estimation for millimeter wave (mmWave) systems, where the base station (BS) and mobile stations (MSs) are equipped with large antenna arr…
Spectral Compressed Sensing via CANDECOMP/PARAFAC Decomposition of Incomplete Tensors
Jun Fang, Linxiao Yang, Hongbin Li
We consider the line spectral estimation problem which aims to recover a mixture of complex sinusoids from a small number of randomly observed time domain samples. Compressed sensi…
An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors
Linxiao Yang, Jun Fang, Hongbin Li +1
We consider the problem of low-rank decomposition of incomplete multiway tensors. Since many real-world data lie on an intrinsically low dimensional subspace, tensor low-rank decom…
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model
Linxiao Yang, Jun Fang, Hong Cheng +1
We consider a dictionary learning problem whose objective is to design a dictionary such that the signals admits a sparse or an approximate sparse representation over the learned d…