PUBLICATION

Journal Papers

[J11] H. Yu, Z, Wang and H. Qiao, “On Variational Block Sparse Recovery with Unknown Partition and l0-Norm Constraint”, IEEE Signal Processing Letters, vol 31, pp. 96-100, 2023.

[J10] H. Qiao and H. Yu, “On Landscape of Nonconvex Regularized Least Squares for Sparse Support Recovery”, IEEE Signal Processing Letters, vol 29, pp. 2467-2471, 2022.

[J9] W. Lu and H. Qiao, “Correlation-Aware Joint Support Recovery with Separation Prior”, IEEE Signal Processing Letters, vol 29, pp. 1739-1743, 2022.

[J8] H. Qiao, “On the Performance of the SPICE Method”, IEEE Signal Processing Letters, vol 28, pp. 543-547, 2021.

[J7] H. Qiao, “A Universal Technique for Analysing Discrete Super-Resolution Algorithms”, IEEE Signal Processing Letters, vol 27, pp. 1829-1833, 2020.

[J6] H. Qiao, “Estimating the Number of Sinusoids in Additive Sub-Gaussian Noise with Finite Measurements”, IEEE Signal Processing Letters, vol 27, pp. 1225-1229, 2020.

[J5] H. Qiao and P. Pal, “Guaranteed Localization of More Sources than Sensors with Finite Snapshots in Multiple Measurement Vector Models Using Difference Co-Arrays”, IEEE Transactions on Signal Processing, vol. 67, no. 22, pp. 5715-5729, Nov. 2019.

[J4] Ali KoochakZadeh, H. Qiao and P. Pal, “On Fundamental Limits of Joint Sparse Support Recovery Using Certain Correlation Priors”, IEEE Transactions on Signal Processing, vol. 66, no. 17, pp. 4612-4625, Sep. 2018.

[J3] H. Qiao and P. Pal, “Gridless Line Spectrum Estimation and Low-Rank Toeplitz Matrix Compression Using Structured Samplers: A Regularization-Free Approach”, IEEE Transactions on Signal Processing, vol. 65, no. 9, pp. 2211-2226, May 2017.

[J2] H. Qiao and P. Pal, “On Maximum Likelihood Methods for Localizing More Sources than Sensors”, IEEE Signal Processing Letters, vol. 24, no. 5, pp. 703-706, May 2017.

[J1] H. Qiao and P. Pal, “Generalized Nested Sampling for Compressing Low Rank Toeplitz Matrices”, IEEE Signal Processing Letters, vol. 22, no. 11, pp. 1844-1848, Nov. 2015.

Conference Papers 

[C18] X. Mao and H. Qiao, “On Super-Resolution with Separation Prior “, in the Proceedings of 48th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023.

[C17] H. Yu and H. Qiao, “Exact Sparse Super-Resolution via Model Aggregation”, in the Proceedings of 47th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.

[C16] W. Lu and H. Qiao, “On Overfitting in Discrete Super-Resolution Recovery”, in the Proceedings of 46th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada, June 2021.

[C15] H. Qiao, P. Sarangi, Y. Alnumay and P. Pal, “Sample Complexity Trade-Offs for Synthetic Aperture based High-Resolution Estimation and Detection”, in the Proceedings of 11th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, June 2020.  [Nominated for Best Student Paper Award Competition]

[C14] H. Qiao, S. Shahsavari and P. Pal, “Super-Resolution with Noisy Measurements: Reconciling Upper and Lower Bounds”, in the Proceedings of 45th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

[C13] H. Qiao and P. Pal, “A Non-Convex Approach to Non-Negative Super-Resolution: Theory and Algorithm”, in the Proceedings of 44th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019.

[C12] H. Qiao, M. C. Hucumenoglu and P. Pal, “Compressive Kriging Using Multi-Dimensional Generalized Nested Sampling”, in the Proceedings of Asilomar Conference on Signals, Systems and Computers, 2018.

[C11] H. Qiao and P. Pal, “ On modulus of continuity for noisy positive super-resolution”, in the Proceedings of 43nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Canada.

[C10] H. Qiao and P. Pal, “Understanding the Role of Positive Constraints in Sparse Bilinear Problems”, in the Proceedings of 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec. 2017. [Nominated for Best Student Paper Award Competition]

[C9] P. Sarangi, H. Qiao and P. Pal, “On the Role of Sampling and Sparsity in Phase Retrieval for Optical Coherence Tomography”, in the Proceedings of 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec. 2017.

[C8] H. Qiao and P. Pal, “Performance Limits of Covariance-Driven Super Resolution Imaging”, in the Proceedings of Asilomar Conference on Signals, Systems and Computers, 2017.

[C7] H. Qiao and P. Pal, “Multiple Hypothesis Testing for Dynamic Support Recovery,” in the Proceedings of 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2017.

[C6] H. Qiao and P. Pal, “Unified Analysis of Co-Array Interpolation for Direction-of-Arrival Estimation,” in the Proceedings of 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, March 2017.[Best Student Paper Award, First Place]

[C5] H. Qiao and P. Pal, “Stable Compressive Low Rank Toeplitz Covariance Estimation Without Regularization”, in the Proceedings of Asilomar Conference on Signals, Systems and Computers, 2016.

[C4] H. Qiao and P. Pal, “Finite Sample Analysis Covariance Compression Using Structured Samplers,’’ in the Proceedings of 9th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Rio de Janeiro, Brazil, 2016.

[C3] H. Qiao and P. Pal, “ Sparse Phase Retrieval with Near Minimal Measurements: A Structured Sampling Based Approach”, in the Proceedings of 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016.

[C2] H. Qiao and P. Pal, “Sparse Phase Retrieval Using Partial Nested Fourier Samplers,’’ in the Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, FL, USA, 2015.

[C1] H. Qiao and P. Pal, “Generalized Nested Sampling for Compression and Exact Recovery of Symmetric Toeplitz Matrix,’’ in the Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, USA, 2014.