Mostafa Rahmani

Manijeh Bashar

Mohammad Javad Dehghani

IEEE Trans. Veh. Technol., May, 2023

Automated Data Denoising for Recommendation.

[BibT_eX]

[DOI]

Yingqiang Ge

Athirai A. Irissappane

Jose Sepulveda

James Caverlee

Fei Wang

CoRR, 2023

Incorporating Time in Sequential Recommendation Models.

[BibT_eX]

[DOI]

James Caverlee

Fei Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series.

[BibT_eX]

[DOI]

Anoop Deoras

Laurent Callot

CoRR, 2022

Provable Clustering of a Union of Linear Manifolds Using Optimal Directions.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Agent Reinforcement Learning-Based Pilot Assignment for Cell-Free Massive MIMO Systems.

[BibT_eX]

[DOI]

Mohammad Javad Dehghani

Pei Xiao

Manijeh Bashar

Mérouane Debbah

IEEE Access, 2022

Deep Reinforcement Learning-based Power Allocation in Uplink Cell-Free Massive MIMO.

[BibT_eX]

[DOI]

Manijeh Bashar

Mohammad Javad Dehghani

Pei Xiao

Rahim Tafazolli

Mérouane Debbah

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Clustering a union of linear subspaces via matrix factorization and innovation search.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Fast and Provable Robust PCA VIA Normalized Coherence Pursuit.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures.

[BibT_eX]

[DOI]

Rasoul Shafipour

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Provable Data Clustering via Innovation Search.

[BibT_eX]

[DOI]

Weiwei Li

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Scalable and Robust Community Detection With Randomized Sketching.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

The Necessity of Geometrical Representation for Deep Graph Analysis.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Outlier Detection and Data Clustering via Innovation Search.

[BibT_eX]

[DOI]

CoRR, 2019

Graph Analysis and Graph Pooling in the Spatial Domain.

[BibT_eX]

[DOI]

CoRR, 2019

A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels.

[BibT_eX]

[DOI]

Martin Slawski

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Outlier Detection and Robust PCA Using a Convex Measure of Innovation.

[BibT_eX]

[DOI]

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

2018

Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2018

Data Dropout in Arbitrary Basis for Deep Network Regularization.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Randomized Robust matrix Completion for the Community Detection Problem.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Innovation Pursuit: A New Approach to Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

High Dimensional Low Rank Plus Sparse Matrix Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Subspace Clustering via Optimal Direction Search.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Spatial Random Sampling: A Structure-Preserving Data Sketching Tool.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

A Direction Search and Spectral Clustering Based Approach to Subspace Clustering.

[BibT_eX]

[DOI]

CoRR, 2017

Innovation Pursuit: A New Approach to the Subspace Clustering Problem.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Robust and Scalable Column/Row Sampling from Corrupted Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

High dimensional decomposition of coherent/structured matrices via sequential column/row sampling.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Robust PCA with concurrent column and element-wise outliers.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Multiplicity results for a p-Laplacian discrete problems of Kirchhoff type.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2016

A subspace method for array covariance matrix estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Scalable and robust PCA approach with random column/row sampling.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Sparsity-based error detection in DC power flow state estimation.

[BibT_eX]

[DOI]

M. Hadi Amini

Kianoosh G. Boroojeni

S. Sitharama Iyengar

Orkun Karabasoglu

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

In pursuit of novelty: A decentralized approach to subspace clustering.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Randomized Robust Subspace Recovery for High Dimensional Data Matrices.

[BibT_eX]

[DOI]

CoRR, 2015

Randomized robust subspace recovery for big data.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Analysis of randomized robust PCA for high dimensional data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

A decentralized approach to robust subspace recovery.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Randomized subspace learning approach for high dimensional low rank plus sparse matrix decomposition.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Two layers beamforming robust against direction-of-arrival mismatch.

[BibT_eX]

[DOI]

Mohammad Hasan Bastani

Sarah Shahraini

IET Signal Process., 2014

Robust and rapid converging adaptive beamforming via a subspace method for the signal-plus-interferences covariance matrix estimation.

[BibT_eX]

[DOI]