Mostafa Rahmani

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 49

Top Topics

Robust Principal Component Analysis

Matrix Decomposition

High Dimensional

Top Venues

IEEE Trans. Signal Process.

Publications

Mostafa Rahmani, James Caverlee, Fei Wang
Incorporating Time in Sequential Recommendation Models. RecSys (2023)
Mostafa Rahmani, Manijeh Bashar, Mohammad Javad Dehghani, Ali Akbari, Pei Xiao, Rahim Tafazolli, Mérouane Debbah
Deep Reinforcement Learning-Based Sum Rate Fairness Trade-Off for Cell-Free mMIMO. IEEE Trans. Veh. Technol. 72 (5) (2023)
Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, Fei Wang, James Caverlee, Yongfeng Zhang
Automated Data Denoising for Recommendation. CoRR (2023)
Mostafa Rahmani, Mohammad Javad Dehghani, Pei Xiao, Manijeh Bashar, Mérouane Debbah
Multi-Agent Reinforcement Learning-Based Pilot Assignment for Cell-Free Massive MIMO Systems. IEEE Access 10 (2022)
Mostafa Rahmani
Clustering a union of linear subspaces via matrix factorization and innovation search. UAI (2022)
Mostafa Rahmani
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions. CoRR (2022)
Mostafa Rahmani, Anoop Deoras, Laurent Callot
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series. CoRR (2022)
Mostafa Rahmani, Manijeh Bashar, Mohammad Javad Dehghani, Pei Xiao, Rahim Tafazolli, Mérouane Debbah
Deep Reinforcement Learning-based Power Allocation in Uplink Cell-Free Massive MIMO. WCNC (2022)
Mostafa Rahmani, Rasoul Shafipour, Ping Li
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. CoRR (2021)
Mostafa Rahmani, Ping Li
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. IEEE Trans. Signal Process. 69 (2021)
Mostafa Rahmani, Ping Li
Fast and Provable Robust PCA VIA Normalized Coherence Pursuit. ICASSP (2021)
Weiwei Li, Mostafa Rahmani, Ping Li
Provable Data Clustering via Innovation Search. CoRR (2021)
Mostafa Rahmani, Rasoul Shafipour, Ping Li
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. ACSCC (2021)
Weiwei Li, Mostafa Rahmani, Ping Li
Provable Data Clustering via Innovation Search. ACSCC (2021)
Mostafa Rahmani, Ping Li
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. CoRR (2021)
Mostafa Rahmani, Andre Beckus, Adel Karimian, George K. Atia
Scalable and Robust Community Detection With Randomized Sketching. IEEE Trans. Signal Process. 68 (2020)
Mostafa Rahmani, Ping Li
The Necessity of Geometrical Representation for Deep Graph Analysis. ICDM (2020)
Mostafa Rahmani, Ping Li
Graph Analysis and Graph Pooling in the Spatial Domain. CoRR (2019)
Mostafa Rahmani, Ping Li
Outlier Detection and Robust PCA Using a Convex Measure of Innovation. NeurIPS (2019)
Martin Slawski, Mostafa Rahmani, Ping Li
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels. UAI (2019)
Mostafa Rahmani, Ping Li
Outlier Detection and Data Clustering via Innovation Search. CoRR (2019)
Mostafa Rahmani, Adel Karimian, Andre Beckus, George K. Atia
Randomized Robust Matrix Completion for the Community Detection Problem. CoRR (2018)
Adel Karimian, Mostafa Rahmani, Andre Beckus, George K. Atia
Randomized Robust matrix Completion for the Community Detection Problem. ACSSC (2018)
Mostafa Rahmani, George K. Atia
Data Dropout in Arbitrary Basis for Deep Network Regularization. ACSSC (2018)
Mostafa Rahmani, George K. Atia
Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Mostafa Rahmani, George K. Atia
Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery. ICML (2017)
Mostafa Rahmani, George K. Atia
Data Dropout in Arbitrary Basis for Deep Network Regularization. CoRR (2017)
Mostafa Rahmani, George K. Atia
Robust PCA with concurrent column and element-wise outliers. Allerton (2017)
Mostafa Rahmani, George K. Atia
High Dimensional Low Rank Plus Sparse Matrix Decomposition. IEEE Trans. Signal Process. 65 (8) (2017)
Mostafa Rahmani, George K. Atia
Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices. IEEE Trans. Signal Process. 65 (6) (2017)
Mostafa Rahmani, George K. Atia
Innovation Pursuit: A New Approach to the Subspace Clustering Problem. ICML (2017)
Mostafa Rahmani, George K. Atia
High dimensional decomposition of coherent/structured matrices via sequential column/row sampling. ICASSP (2017)
Mostafa Rahmani, George K. Atia
Innovation Pursuit: A New Approach to Subspace Clustering. IEEE Trans. Signal Process. 65 (23) (2017)
Mostafa Rahmani, George K. Atia
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis. IEEE Trans. Signal Process. 65 (23) (2017)
Mostafa Rahmani, George K. Atia
A Direction Search and Spectral Clustering Based Approach to Subspace Clustering. CoRR (2017)
Mostafa Rahmani, George K. Atia
Robust and Scalable Column/Row Sampling from Corrupted Big Data. ICCV Workshops (2017)
Mostafa Rahmani, George K. Atia
Spatial Random Sampling: A Structure-Preserving Data Sketching Tool. IEEE Signal Process. Lett. 24 (9) (2017)
Mostafa Rahmani, George K. Atia
Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption. CoRR (2017)
Mostafa Rahmani, George K. Atia
Spatial Random Sampling: A Structure-Preserving Data Sketching Tool. CoRR (2017)
Mostafa Rahmani, George K. Atia
Subspace Clustering via Optimal Direction Search. IEEE Signal Process. Lett. 24 (12) (2017)
M. Hadi Amini, Mostafa Rahmani, Kianoosh G. Boroojeni, George K. Atia, S. S. Iyengar, Orkun Karabasoglu
Sparsity-Based Error Detection in DC Power Flow State Estimation. CoRR (2016)
Mostafa Rahmani, George K. Atia
Robust and Scalable Column/Row Sampling from Corrupted Big Data. CoRR (2016)
Mostafa Rahmani, George K. Atia
A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling. ICML (2016)
Mostafa Rahmani, George K. Atia
A subspace method for array covariance matrix estimation. SAM (2016)
M. Hadi Amini, Mostafa Rahmani, Kianoosh G. Boroojeni, George K. Atia, S. Sitharama Iyengar, Orkun Karabasoglu
Sparsity-based error detection in DC power flow state estimation. EIT (2016)
Mostafa Rahmani, George K. Atia
In pursuit of novelty: A decentralized approach to subspace clustering. Allerton (2016)
Mostafa Rahmani, George K. Atia
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis. CoRR (2016)
Mostafa Rahmani, George K. Atia
Scalable and robust PCA approach with random column/row sampling. GlobalSIP (2016)
Omar Chakrone, EL. M. Hssini, Mostafa Rahmani, Omar Darhouche
Multiplicity results for a p-Laplacian discrete problems of Kirchhoff type. Appl. Math. Comput. 276 (2016)
Mostafa Rahmani, George K. Atia
Randomized robust subspace recovery for big data. MLSP (2015)
Mostafa Rahmani, George K. Atia
Analysis of randomized robust PCA for high dimensional data. SP/SPE (2015)
Mostafa Rahmani, George K. Atia
High Dimensional Low Rank plus Sparse Matrix Decomposition. CoRR (2015)
Mostafa Rahmani, George K. Atia
Randomized subspace learning approach for high dimensional low rank plus sparse matrix decomposition. ACSSC (2015)
Mostafa Rahmani, George K. Atia
Randomized Robust Subspace Recovery for High Dimensional Data Matrices. CoRR (2015)
Mostafa Rahmani, George K. Atia
A decentralized approach to robust subspace recovery. Allerton (2015)
Mostafa Rahmani, George K. Atia
Innovation Pursuit: A New Approach to Subspace Clustering. CoRR (2015)
Mostafa Rahmani, George K. Atia
A Subspace Method for Array Covariance Matrix Estimation. CoRR (2014)
Mostafa Rahmani, Mohammad Hasan Bastani
Robust and rapid converging adaptive beamforming via a subspace method for the signal-plus-interferences covariance matrix estimation. IET Signal Process. 8 (5) (2014)
Mostafa Rahmani, Mohammad Hasan Bastani, Sarah Shahraini
Two layers beamforming robust against direction-of-arrival mismatch. IET Signal Process. 8 (1) (2014)