Research



Scholarly Paper:


  1. H.Q. Cai, B. Kim, D. Mckenzie, and W. Yin. Curvature-Aware Derivative-Free Optimization, Submitted.

  2. H.Q. Cai, Y. Luo, D. Mckenzie, and W. Yin. A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization, Submitted. (ArXiv) (GitHub)

  3. H.Q. Cai, K. Hamm, L. Huang, and D. Needell. Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions, Submitted. (ArXiv)

  4. H.Q. Cai, K. Hamm, L. Huang, and D. Needell. Robust CUR Decomposition: Theory and Imaging Applications, Submitted. (ArXiv)

  5. H.Q. Cai, K. Hamm, L. Huang, J. Li, and T. Wang. Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation, IEEE Signal Processing Letters, 28 (2021): 116-120. (ArXiv) (GitHub) (Bibtex)

  6. H.Q. Cai, D. Mckenzie, W. Yin, and Z. Zhang. A One-bit, Comparison-Based Gradient Estimator, Submitted. (ArXiv) (GitHub)

  7. H.Q. Cai, D. Mckenzie, W. Yin, and Z. Zhang. Zeroth-order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling, Submitted. (ArXiv) (GitHub)

  8. H.Q. Cai, J.-F. Cai, T. Wang, and G. Yin. Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery, IEEE Transactions on Signal Processing, 69 (2021): 809-821. (ArXiv) (GitHub) (Code) (Bibtex)

  9. H.Q. Cai, J.-F. Cai, and K. Wei. Accelerated Alternating Projections for Robust Principal Component Analysis, Journal of Machine Learning Research, 20, no. 20 (2019): 1-33. (ArXiv) (GitHub) (Code) (Bibtex) (Demo)

Code:


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