Abolfazl Hashemi

According to our database1, Abolfazl Hashemi authored at least 21 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Communication-Efficient Algorithms for Decentralized Optimization Over Directed Graphs.
CoRR, 2020

Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.
Proceedings of the 2020 American Control Conference, 2020

2019
Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.
CoRR, 2019

Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization.
CoRR, 2019

Submodular Observation Selection and Information Gathering for Quadratic Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

Evolutionary Subspace Clustering: Discovering Structure in Self-expressive Time-series Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Map Framework for Support Recovery of Sparse Signals Using Orthogonal Least Squares.
Proceedings of the IEEE International Conference on Acoustics, 2019

Online Topology Inference from Streaming Stationary Graph Signals.
Proceedings of the IEEE Data Science Workshop, 2019

On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
Evolutionary Self-Expressive Models for Subspace Clustering.
IEEE J. Sel. Top. Signal Process., 2018

Accelerated orthogonal least-squares for large-scale sparse reconstruction.
Digit. Signal Process., 2018

Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Near-Optimal Distributed Estimation for a Network of Sensing Units Operating Under Communication Constraints.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Accelerated Sparse Subspace Clustering.
CoRR, 2017

Recovery of sparse signals via Branch and Bound Least-Squares.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sparse Tensor Decomposition for Haplotype Assembly of Diploids and Polyploids.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Sparse recovery via Orthogonal Least-Squares under presence of Noise.
CoRR, 2016

Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares.
CoRR, 2016

Sparse linear regression via generalized orthogonal least-squares.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016


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