Linxiao Yang

Orcid: 0000-0001-9558-7163

According to our database¹, Linxiao Yang authored at least 35 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

Task-oriented Time Series Imputation Evaluation via Generalized Representers.

[BibT_eX]

[DOI]

CoRR, 2024

CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Efficient Decision Rule List Learning via Unified Sequence Submodular Optimization.

[BibT_eX]

[DOI]

Linxiao Yang

Jingbang Yang

Liang Sun

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice.

[BibT_eX]

[DOI]

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Explain Temporal Black-Box Models via Functional Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RobustTSVar: A Robust Time Series Variance Estimation Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Energy forecasting with robust, flexible, and explainable machine learning algorithms.

[BibT_eX]

[DOI]

AI Mag., December, 2023

Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Robust Dominant Periodicity Detection for Time Series with Missing Data.

[BibT_eX]

[DOI]

Qingsong Wen

Linxiao Yang

Liang Sun

Proceedings of the IEEE International Conference on Acoustics, 2023

SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Robust Time Series Analysis and Applications: An Industrial Perspective.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Netrca: An Effective Network Fault Cause Localization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Fast Compressed Power Spectrum Estimation: Toward a Practical Solution for Wideband Spectrum Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Iterative Reweighed Approach for Multiuser Detection with Multiple Measurement Vector in MTC Communications.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019

Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Initialization Estimator and its Application in Solving Quadratic Equations.

[BibT_eX]

[DOI]

Kaihui Liu

Linxiao Yang

Jiandong Xie

IEEE Access, 2019

Low-Rank Phase Retrieval via Variational Bayesian Learning.

[BibT_eX]

[DOI]

IEEE Access, 2019

Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Phase Retrieval via a Modified Null Vector Estimator.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

2017

Fast Inverse-Free Sparse Bayesian Learning via Relaxed Evidence Lower Bound Maximization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Sparse Bayesian dictionary learning with a Gaussian hierarchical model.

[BibT_eX]

[DOI]

Signal Process., 2017

Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2017

Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Channel Estimation for Millimeter-Wave Multiuser MIMO Systems via PARAFAC Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2016

An Iterative Reweighted Method for Tucker Decomposition of Incomplete Tensors.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Localized Low-Rank Promoting for Recovery of Block-Sparse Signals With Intrablock Correlation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Adaptive one-bit quantization for compressed sensing.

[BibT_eX]

[DOI]

Signal Process., 2016

Sparse Bayesian dictionary learning with a Gaussian hierarchical model.

[BibT_eX]

[DOI]

Linxiao Yang

Jun Fang

Hongbin Li

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors.

[BibT_eX]

[DOI]

CoRR, 2015

Spectral Compressed Sensing via CANDECOMP/PARAFAC Decomposition of Incomplete Tensors.

[BibT_eX]

[DOI]

Jun Fang

Linxiao Yang

Hongbin Li

CoRR, 2015

Linxiao Yang

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