Morteza Ashraphijuo

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 27

Top Topics

Matrix Completion

Top Venues

J. Mach. Learn. Res.

Ann. Math. Artif. Intell.

Publications

Morteza Ashraphijuo, Xiaodong Wang
Structured Alternating Minimization for Union of Nested Low-Rank Subspaces Data Completion. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
Fundamental sampling patterns for low-rank multi-view data completion. Pattern Recognit. 103 (2020)
Morteza Ashraphijuo, Xiaodong Wang
Characterization Of sampling patterns for low-tt-rank tensor retrieval. Ann. Math. Artif. Intell. 88 (8) (2020)
Morteza Ashraphijuo, Xiaodong Wang
Union of Low-Rank Tensor Spaces: Clustering and Completion. J. Mach. Learn. Res. 21 (2020)
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor. IEEE Trans. Inf. Theory 65 (9) (2019)
Morteza Ashraphijuo, Xiaodong Wang
Clustering a union of low-rank subspaces of different dimensions with missing data. Pattern Recognit. Lett. 120 (2019)
Morteza Ashraphijuo, Xiaodong Wang, Junwei Zhang
Low-Rank Data Completion With Very Low Sampling Rate Using Newton's Method. IEEE Trans. Signal Process. 67 (7) (2019)
Morteza Ashraphijuo, Xiaodong Wang
Fundamental conditions on the sampling pattern for union of low-rank subspaces retrieval. Ann. Math. Artif. Intell. 87 (4) (2019)
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion. IEEE Signal Process. Lett. 25 (3) (2018)
Mehdi Ashraphijuo, Morteza Ashraphijuo, Xiaodong Wang
On the DoF of Two-Way 2×2×2 MIMO Relay Networks. IEEE Trans. Veh. Technol. 67 (11) (2018)
Morteza Ashraphijuo, Xiaodong Wang
A Characterization of Sampling Patterns for Union of Low-Rank Subspaces Retrieval Problem. ISAIM (2018)
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
A characterization of sampling patterns for low-tucker-rank tensor completion problem. ISIT (2017)
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data. CoRR (2017)
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
Rank Determination for Low-Rank Data Completion. CoRR (2017)
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
An approximation of the CP-rank of a partially sampled tensor. Allerton (2017)
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
A characterization of sampling patterns for low-rank multi-view data completion problem. ISIT (2017)
Morteza Ashraphijuo, Xiaodong Wang
Fundamental Conditions for Low-CP-Rank Tensor Completion. CoRR (2017)
Morteza Ashraphijuo, Xiaodong Wang
Fundamental Conditions for Low-CP-Rank Tensor Completion. J. Mach. Learn. Res. 18 (2017)
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
Rank Determination for Low-Rank Data Completion. J. Mach. Learn. Res. 18 (2017)
Morteza Ashraphijuo, Xiaodong Wang
Scaled Nuclear Norm Minimization for Low-Rank Tensor Completion. CoRR (2017)
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion. CoRR (2017)
Morteza Ashraphijuo, Xiaodong Wang
Characterization of Deterministic and Probabilistic Sampling Patterns for Finite Completability of Low Tensor-Train Rank Tensor. CoRR (2017)
Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei, Ross Baldick
Power system state estimation with a limited number of measurements. CDC (2016)
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang
Deterministic and Probabilistic Conditions for Finite Completability of Low Rank Tensor. CoRR (2016)
Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, Alper Atamtürk
A strong semidefinite programming relaxation of the unit commitment problem. CDC (2016)
Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei
Characterization of rank-constrained feasibility problems via a finite number of convex programs. CDC (2016)
Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei
Inverse function theorem for polynomial equations using semidefinite programming. CDC (2015)
Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei
Promises of conic relaxation for contingency-constrained optimal power flow problem. Allerton (2014)