Morteza Ashraphijuo

According to our database, Morteza Ashraphijuo authored at least 25 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Fundamental sampling patterns for low-rank multi-view data completion.

Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal

Pattern Recognit., 2020

Structured Alternating Minimization for Union of Nested Low-Rank Subspaces Data Completion.

Morteza Ashraphijuo, Xiaodong Wang

IEEE J. Sel. Areas Inf. Theory, 2020

Union of Low-Rank Tensor Spaces: Clustering and Completion.

Morteza Ashraphijuo, Xiaodong Wang

J. Mach. Learn. Res., 2020

Characterization Of sampling patterns for low-tt-rank tensor retrieval.

Morteza Ashraphijuo, Xiaodong Wang

Ann. Math. Artif. Intell., 2020

2019

Low-Rank Data Completion With Very Low Sampling Rate Using Newton's Method.

Morteza Ashraphijuo, Xiaodong Wang, Junwei Zhang

IEEE Trans. Signal Process., 2019

Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor.

Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang

IEEE Trans. Inf. Theory, 2019

Clustering a union of low-rank subspaces of different dimensions with missing data.

Morteza Ashraphijuo, Xiaodong Wang

Pattern Recognit. Lett., 2019

Fundamental conditions on the sampling pattern for union of low-rank subspaces retrieval.

Morteza Ashraphijuo, Xiaodong Wang

Ann. Math. Artif. Intell., 2019

2018

On the DoF of Two-Way 2×2×2 MIMO Relay Networks.

Mehdi Ashraphijuo, Morteza Ashraphijuo, Xiaodong Wang

IEEE Trans. Veh. Technol., 2018

On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion.

Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang

IEEE Signal Process. Lett., 2018

A Characterization of Sampling Patterns for Union of Low-Rank Subspaces Retrieval Problem.

Morteza Ashraphijuo, Xiaodong Wang

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

2017

Rank Determination for Low-Rank Data Completion.

Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal

J. Mach. Learn. Res., 2017

Fundamental Conditions for Low-CP-Rank Tensor Completion.

Morteza Ashraphijuo, Xiaodong Wang

J. Mach. Learn. Res., 2017

Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data.

Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal

CoRR, 2017

Scaled Nuclear Norm Minimization for Low-Rank Tensor Completion.

Morteza Ashraphijuo, Xiaodong Wang

CoRR, 2017

Characterization of Deterministic and Probabilistic Sampling Patterns for Finite Completability of Low Tensor-Train Rank Tensor.

Morteza Ashraphijuo, Xiaodong Wang

CoRR, 2017

A characterization of sampling patterns for low-rank multi-view data completion problem.

Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

A characterization of sampling patterns for low-tucker-rank tensor completion problem.

Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

An approximation of the CP-rank of a partially sampled tensor.

Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal

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

2016

Deterministic and Probabilistic Conditions for Finite Completability of Low Rank Tensor.

Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang

CoRR, 2016

Power system state estimation with a limited number of measurements.

Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei, Ross Baldick

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Characterization of rank-constrained feasibility problems via a finite number of convex programs.

Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A strong semidefinite programming relaxation of the unit commitment problem.

Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, Alper Atamtürk

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Inverse function theorem for polynomial equations using semidefinite programming.

Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Promises of conic relaxation for contingency-constrained optimal power flow problem.

Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014