Mostafa Rahmani

57 papers A* 5A 3Misc 5Journal 33Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation. CoRR Xinyu He, Jose Sepulveda, Mostafa Rahmani, Alyssa Woo, Fei Wang, Hanghang Tong
2023	J	`jnl`	Automated Data Denoising for Recommendation. CoRR Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, James Caverlee, Fei Wang
2023	A	`conf`	Incorporating Time in Sequential Recommendation Models. RecSys Mostafa Rahmani, James Caverlee, Fei Wang
2022	A	`conf`	Clustering a union of linear subspaces via matrix factorization and innovation search. UAI Mostafa Rahmani
2022	J	`jnl`	Provable Clustering of a Union of Linear Manifolds Using Optimal Directions. CoRR Mostafa Rahmani
2022	J	`jnl`	Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series. CoRR Mostafa Rahmani, Anoop Deoras, Laurent Callot
2021	J	`jnl`	Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. CoRR Mostafa Rahmani, Ping Li
2021	J	`jnl`	Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. IEEE Trans. Signal Process. Mostafa Rahmani, Ping Li
2021	Misc	`conf`	Fast and Provable Robust PCA VIA Normalized Coherence Pursuit. ICASSP Mostafa Rahmani, Ping Li
2021	—	`conf`	Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. ACSCC Mostafa Rahmani, Rasoul Shafipour, Ping Li
2021	J	`jnl`	Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. CoRR Mostafa Rahmani, Rasoul Shafipour, Ping Li
2021	—	`conf`	Provable Data Clustering via Innovation Search. ACSCC Weiwei Li, Mostafa Rahmani, Ping Li
2021	J	`jnl`	Provable Data Clustering via Innovation Search. CoRR Weiwei Li, Mostafa Rahmani, Ping Li
2020	J	`jnl`	Scalable and Robust Community Detection With Randomized Sketching. IEEE Trans. Signal Process. Mostafa Rahmani, Andre Beckus, Adel Karimian, George K. Atia
2020	A*	`conf`	The Necessity of Geometrical Representation for Deep Graph Analysis. ICDM Mostafa Rahmani, Ping Li
2019	A	`conf`	A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels. UAI Martin Slawski, Mostafa Rahmani, Ping Li
2019	J	`jnl`	Graph Analysis and Graph Pooling in the Spatial Domain. CoRR Mostafa Rahmani, Ping Li
2019	J	`jnl`	Outlier Detection and Data Clustering via Innovation Search. CoRR Mostafa Rahmani, Ping Li
2019	A*	`conf`	Outlier Detection and Robust PCA Using a Convex Measure of Innovation. NeurIPS Mostafa Rahmani, Ping Li
2018	Misc	`conf`	Data Dropout in Arbitrary Basis for Deep Network Regularization. ACSSC Mostafa Rahmani, George K. Atia
2018	J	`jnl`	Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption. IEEE J. Sel. Top. Signal Process. Mostafa Rahmani, George K. Atia
2018	J	`jnl`	Randomized Robust Matrix Completion for the Community Detection Problem. CoRR Mostafa Rahmani, Adel Karimian, Andre Beckus, George K. Atia
2018	Misc	`conf`	Randomized Robust matrix Completion for the Community Detection Problem. ACSSC Adel Karimian, Mostafa Rahmani, Andre Beckus, George K. Atia
2017	J	`jnl`	A Direction Search and Spectral Clustering Based Approach to Subspace Clustering. CoRR Mostafa Rahmani, George K. Atia
2017	J	`jnl`	Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis. IEEE Trans. Signal Process. Mostafa Rahmani, George K. Atia
2017	A*	`conf`	Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery. ICML Mostafa Rahmani, George K. Atia
2017	J	`jnl`	Data Dropout in Arbitrary Basis for Deep Network Regularization. CoRR Mostafa Rahmani, George K. Atia
2017	J	`jnl`	High Dimensional Low Rank Plus Sparse Matrix Decomposition. IEEE Trans. Signal Process. Mostafa Rahmani, George K. Atia
2017	Misc	`conf`	High dimensional decomposition of coherent/structured matrices via sequential column/row sampling. ICASSP Mostafa Rahmani, George K. Atia
2017	J	`jnl`	Innovation Pursuit: A New Approach to Subspace Clustering. IEEE Trans. Signal Process. Mostafa Rahmani, George K. Atia
2017	A*	`conf`	Innovation Pursuit: A New Approach to the Subspace Clustering Problem. ICML Mostafa Rahmani, George K. Atia
2017	J	`jnl`	Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption. CoRR Mostafa Rahmani, George K. Atia
2017	J	`jnl`	Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices. IEEE Trans. Signal Process. Mostafa Rahmani, George K. Atia
2017	—	`conf`	Robust PCA with concurrent column and element-wise outliers. Allerton Mostafa Rahmani, George K. Atia
2017	—	`conf`	Robust and Scalable Column/Row Sampling from Corrupted Big Data. ICCV Workshops Mostafa Rahmani, George K. Atia
2017	J	`jnl`	Spatial Random Sampling: A Structure-Preserving Data Sketching Tool. CoRR Mostafa Rahmani, George K. Atia
2017	J	`jnl`	Spatial Random Sampling: A Structure-Preserving Data Sketching Tool. IEEE Signal Process. Lett. Mostafa Rahmani, George K. Atia
2017	J	`jnl`	Subspace Clustering via Optimal Direction Search. IEEE Signal Process. Lett. Mostafa Rahmani, George K. Atia
2016	A*	`conf`	A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling. ICML Mostafa Rahmani, George K. Atia
2016	—	`conf`	A subspace method for array covariance matrix estimation. SAM Mostafa Rahmani, George K. Atia
2016	J	`jnl`	Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis. CoRR Mostafa Rahmani, George K. Atia
2016	—	`conf`	In pursuit of novelty: A decentralized approach to subspace clustering. Allerton Mostafa Rahmani, George K. Atia
2016	J	`jnl`	Multiplicity results for a p-Laplacian discrete problems of Kirchhoff type. Appl. Math. Comput. Omar Chakrone, EL. M. Hssini, Mostafa Rahmani, Omar Darhouche
2016	J	`jnl`	Robust and Scalable Column/Row Sampling from Corrupted Big Data. CoRR Mostafa Rahmani, George K. Atia
2016	—	`conf`	Scalable and robust PCA approach with random column/row sampling. GlobalSIP Mostafa Rahmani, George K. Atia
2016	J	`jnl`	Sparsity-Based Error Detection in DC Power Flow State Estimation. CoRR M. Hadi Amini, Mostafa Rahmani, Kianoosh G. Boroojeni, George K. Atia, S. S. Iyengar, Orkun Karabasoglu
2016	—	`conf`	Sparsity-based error detection in DC power flow state estimation. EIT M. Hadi Amini, Mostafa Rahmani, Kianoosh G. Boroojeni, George K. Atia, S. Sitharama Iyengar, Orkun Karabasoglu
2015	—	`conf`	A decentralized approach to robust subspace recovery. Allerton Mostafa Rahmani, George K. Atia
2015	—	`conf`	Analysis of randomized robust PCA for high dimensional data. SP/SPE Mostafa Rahmani, George K. Atia
2015	J	`jnl`	High Dimensional Low Rank plus Sparse Matrix Decomposition. CoRR Mostafa Rahmani, George K. Atia
2015	J	`jnl`	Innovation Pursuit: A New Approach to Subspace Clustering. CoRR Mostafa Rahmani, George K. Atia
2015	J	`jnl`	Randomized Robust Subspace Recovery for High Dimensional Data Matrices. CoRR Mostafa Rahmani, George K. Atia
2015	—	`conf`	Randomized robust subspace recovery for big data. MLSP Mostafa Rahmani, George K. Atia
2015	Misc	`conf`	Randomized subspace learning approach for high dimensional low rank plus sparse matrix decomposition. ACSSC Mostafa Rahmani, George K. Atia
2014	J	`jnl`	A Subspace Method for Array Covariance Matrix Estimation. CoRR Mostafa Rahmani, George K. Atia
2014	J	`jnl`	Robust and rapid converging adaptive beamforming via a subspace method for the signal-plus-interferences covariance matrix estimation. IET Signal Process. Mostafa Rahmani, Mohammad Hasan Bastani
2014	J	`jnl`	Two layers beamforming robust against direction-of-arrival mismatch. IET Signal Process. Mostafa Rahmani, Mohammad Hasan Bastani, Sarah Shahraini