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(Photo by SL, on the way to Albuquerque for SIAM IS16, May 2016)

My Google Scholar Profile

Preprints (* indicates equal contribution)

Book chapters

Journal Papers

  • K. Liu, X. Li, Z. Zhu, L. Brand, and H. Wang, ‘‘Factor-Bounded Nonnegative Matrix Factorization,’’ ACM Transactions on Knowledge Discovery from Data, vol. 15, pp. 1-18, 2021.

  • S. Karnik, Z. Zhu, M. B. Wakin, J. Romberg, and M. A. Davenport, ‘‘The Fast Slepian Transform,’’ Applied and Computational Harmonic Analysis, vol 46, no. 3, pp. 624-652, May 2019. (authors’ copy)

Conference Papers–Machine Learning

  • Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, and Yi Ma, ‘‘A Global Geometric Analysis of Maximal Coding Rate Reduction," International Conference in Machine Learning (ICML), 2024.

  • C Yaras, P Wang, W Hu, Z Zhu, L Balzano, Q Qu, ‘‘Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Matrix Factorizations," NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023.

  • T. Ding*, Z Zhu*, T. Ding, Y. Yang, D. Robinson, M. Tsakiris, and R. Vidal, ‘‘Noisy Dual Principal Component Pursuit,’’ International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019. (acceptance rate = 22%)

Conference Papers–Signal Processing

  • Q. Qu, Y. Zhai, X. Li, Y. Zhang, and Z. Zhu, “Analysis of the Optimization Landscapes for Overcomplete Representation Learning,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2020.

  • Z. Zhu and M. B. Wakin, ‘‘New Analysis of Multiband Modulated DPSS Dictionaries,’’ Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS’15), Cambridge, England, July 2015.

  • Z. Zhu and M. B. Wakin, ‘‘Detection of Stationary Targets Using Discrete Prolate Spheroidal Sequences,’’ International Review of Progress in Applied Computational Electromagnetics (ACES), Williamsburg, Virginia, March 2015.

Ph.D. thesis

Technical reports