Publication

Journal Papers

1. Morteza Ashraphijuo, Xiaodong Wang, “Union of Low-Rank Tensor Spaces: Clustering and Completion,” Journal of Machine Learning Research (JMLR), vol. 21, no. 69, pp. 1–36, March 2020.

2. Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal, “Fundamental Sampling Patterns for Low-Rank Multi-View Data Completion,” Pattern Recognition Journal, vol. 103, no. 107307, pp. 1–14, July 2020.

3. Morteza Ashraphijuo, Xiaodong Wang, “Characterization of Sampling Patterns for Low-TT-Rank Tensor Retrieval,” Annals of Mathematics and Artificial Intelligence, vol. 88, no. 8, pp. 859–886, March 2020.

4. Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang, “Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor,” IEEE Transactions on Information Theory, vol. 65, no. 9, pp. 5380–5400, September 2019.

5. Morteza Ashraphijuo, Xiaodong Wang, Junwei Zhang, “Low-Rank Data Completion With Very Low Sampling Rate Using Newton's method,” IEEE Transactions on Signal Processing, vol. 67, no. 7, pp. 1849–1859, April 2019.

6. Morteza Ashraphijuo, Xiaodong Wang, “Fundamental Conditions for Low-CP-Rank Tensor Completion,” Journal of Machine Learning Research (JMLR), vol. 18, no. 63, pp. 1–29, July 2017.

7. Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal, “Rank Determination for Low-Rank Data Completion,” Journal of Machine Learning Research (JMLR), vol. 18, no. 98, pp. 1–29, September 2017.

8. Morteza Ashraphijuo, Xiaodong Wang, “Fundamental Conditions on the Sampling Pattern for Union of Low-Rank Subspaces Retrieval,” Annals of Mathematics and Artificial Intelligence, vol. 87, no. 4, pp. 373–393, August 2019.

9. Morteza Ashraphijuo, Xiaodong Wang, “Clustering a Union of Low-Rank Subspaces of Different Dimensions with Missing Data,” Pattern Recognition Letters, vol. 120, pp. 31–35, April 2019.

10. Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang, “On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion,” IEEE Signal Processing Letters, vol. 25, no. 3, pp. 343–347, March 2018.

11. Mehdi Ashraphijuo, Morteza Ashraphijuo, Xiaodong Wang, “On the DoF of Two-way 2x2x2 MIMO Relay Networks,” IEEE Transactions on Vehicular Technology, vol. 67, no. 11, pp. 10554–10563, November 2018.

12. Salar Fattahi, Morteza Ashraphijuo, Javad Lavaei, Alper Atamturk, “Conic Relaxations of the Unit Commitment Problem,” Energy Journal, vol. 134, pp. 1079–1095, September 2017.

13. Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei, “Promises of Conic Relaxation for Contingency-Constrained Optimal Power Flow Problem,” IEEE Transactions on Power Systems, vol. 31, no.2, pp. 1297–1307, March 2016.

14. Morteza Ashraphijuo, Xiaodong Wang, “Structured Alternating Minimization for Union of Nested Low-Rank Subspaces Data Completion,” IEEE Journal on Selected Areas in Information Theory, vol. 1, no.3, pp. 632– 644, November 2020.

Conference Papers

1. Morteza Ashraphijuo, Xiaodong Wang, “A Characterization of Sampling Patterns for Union of Low-Rank Subspaces Retrieval Problem,” in Proc. International Symposium on Artificial Intelligence and Mathematics (ISAIM), pages 1–8, Fort Lauderdale, FL, January 2018.

2. Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang, “A Characterization of Sampling Patterns for Low-Tucker-Rank Tensor Completion Problem,” in Proc. IEEE International Symposium on Information Theory (ISIT), pages 531–535, Aachen, Germany, June 2017.

3. Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal, “A Characterization of Sampling Patterns for Low-Rank Multi-View Data Completion Problem,” in Proc. IEEE International Symposium on Information Theory (ISIT), pages 1147–1151, Aachen, Germany, June 2017.

4. Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal, “An Approximation of the CP-Rank of a Partially Sampled Tensor,” in Proc. 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pages 604–611, Monticello, IL, October 2017.

5. Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, Alper Atamturk, “A Strong Semidefinite Programming Relaxation of the Unit Commitment Problem,” in Proc. IEEE 55th Conference on Decision and Control (CDC), pages 694–701, Las Vegas, NV, December 2016. (Best Paper Award)

6. Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei, “Characterization of Rank-Constrained Feasibility Problems via a Finite Number of Convex Programs,” in Proc. IEEE 55th Conference on Decision and Control (CDC), pages 6544–6550, Las Vegas, NV, December 2016.

7. Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei, Ross Baldick, “Power System State Estimation with a Limited Number of Measurements,” in Proc. IEEE 55th Conference on Decision and Control (CDC), pages 672–679, Las Vegas, NV, December 2016.

8. Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei, “Inverse Function Theorem for Polynomial Equations using Semidefinite Programming,” in Proc. IEEE 54th Conference on Decision and Control (CDC), pages 6589–6596, Osaka, Japan, December 2015.

9. Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei, “Promises of Conic Relaxation for Contingency-Constrained Optimal Power Flow Problem,” in Proc. 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton), pages 1064–1071, Monticello, IL, October 2014. (Invited Paper)