Abolfazl Hashemi
Abolfazl Hashemi
PhD Student
確認したメール アドレス: utexas.edu - ホームページ
タイトル引用先
A randomized greedy algorithm for near-optimal sensor scheduling in large-scale sensor networks
A Hashemi, M Ghasemi, H Vikalo, U Topcu
2018 Annual American Control Conference (ACC), 1027-1032, 2018
112018
Sparse linear regression via generalized orthogonal least-squares
A Hashemi, H Vikalo
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
112016
Sparse tensor decomposition for haplotype assembly of diploids and polyploids
A Hashemi, B Zhu, H Vikalo
BMC genomics 19 (4), 191, 2018
62018
Accelerated orthogonal least-squares for large-scale sparse reconstruction
A Hashemi, H Vikalo
Digital Signal Processing 82, 91-105, 2018
52018
Sampling and reconstruction of graph signals via weak submodularity and semidefinite relaxation
A Hashemi, R Shafipour, H Vikalo, G Mateos
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
32018
Accelerated sparse subspace clustering
A Hashemi, H Vikalo
arXiv preprint arXiv:1711.00126, 2017
32017
Recovery of sparse signals via branch and bound least-squares
A Hashemi, H Vikalo
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
32017
Sampling requirements and accelerated schemes for sparse linear regression with orthogonal least-squares
A Hashemi, H Vikalo
arXiv preprint arXiv:1608.02549, 2016
32016
Randomized greedy sensor selection: Leveraging weak submodularity
A Hashemi, M Ghasemi, H Vikalo, U Topcu
arXiv preprint arXiv:1807.08627, 2018
22018
Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization
G de Veciana, A Hashemi, H Vikalo
arXiv preprint arXiv:1907.09064, 2019
12019
Online topology inference from streaming stationary graph signals
R Shafipour, A Hashemi, G Mateos, H Vikalo
IEEE Data Science Wrkshp.(DSW), 140-144, 2019
12019
Submodular Observation Selection and Information Gathering for Quadratic Models
A Hashemi, M Ghasemi, H Vikalo, U Topcu
arXiv preprint arXiv:1905.09919, 2019
12019
A novel scheme for support identification and iterative sampling of bandlimited graph signals
A Hashemi, R Shafipour, H Vikalo, G Mateos
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
12018
Evolutionary self-expressive models for subspace clustering
A Hashemi, H Vikalo
IEEE Journal of Selected Topics in Signal Processing 12 (6), 1534-1546, 2018
12018
Efficient sampling of bandlimited graph signals
A Hashemi, R Shafipour, H Vikalo, G Mateos
arXiv preprint arXiv:1807.07222, 2018
12018
Sparse recovery via Orthogonal Least-Squares under presence of Noise
A Hashemi, H Vikalo
arXiv preprint arXiv:1608.02554, 2016
12016
On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems
M Ghasemi, A Hashemi, U Topcu, H Vikalo
2019 American Control Conference (ACC), 4671-4676, 2019
2019
Evolutionary Subspace Clustering: Discovering Structure in Self-expressive Time-series Data
A Hashemi, H Vikalo
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
2019
A Map Framework for Support Recovery of Sparse Signals Using Orthogonal Least Squares
S Consul, A Hashemi, H Vikalo
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
2019
Near-Optimal Distributed Estimation for a Network of Sensing Units Operating Under Communication Constraints
A Hashemi, OF Kilic, H Vikalo
2018 IEEE Conference on Decision and Control (CDC), 2890-2895, 2018
2018
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