Journal

(* = equal contributors)

More Publications

(2019). Stochastic Gradients for Large-Scale Tensor Decomposition. Under review.

arXiv

(2019). Convolutional Analysis Operator Learning: Dependence on Training Data. IEEE Signal Processing Letters.

DOI arXiv

(2018). Optimally Weighted PCA for High-Dimensional Heteroscedastic Data. Under review.

Code arXiv

(2018). Subspace Clustering using Ensembles of K-Subspaces. Under review.

arXiv

(2018). Generalized Canonical Polyadic Tensor Decomposition. Accepted, to appear in SIAM Review.

arXiv

(2018). Asymptotic performance of PCA for high-dimensional heteroscedastic data. Journal of Multivariate Analysis.

DOI arXiv

(2013). Closed-Form Expressions for Minimizing Total Harmonic Distortion in Three-Phase Multilevel Converters. IEEE Transactions on Power Electronics.

DOI

Conference

More Publications

(2018). Learning Dictionary-Based Unions of Subspaces for Image Denoising. 2018 26th European Signal Processing Conference (EUSIPCO).

DOI

(2018). Online Estimation of Coherent Subspaces with Adaptive Sampling. 2018 IEEE Statistical Signal Processing Workshop (SSP).

DOI

(2017). Enhanced online subspace estimation via adaptive sensing. 2017 51st Asilomar Conference on Signals, Systems, and Computers.

DOI

(2016). Towards a Theoretical Analysis of PCA for Heteroscedastic Data. 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

DOI arXiv

(2013). Exploiting HF ambient noise to synchronize distributed receivers. 2013 US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM).

DOI

Posts

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A quick start guide to using MATLAB on Flux for parameter sweeps or Monte Carlo trials. Written for students.

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Contact

  • dahong@umich.edu
  • EECS Building 4125, 1301 Beal Avenue, Ann Arbor, Michigan, 48109, USA