Publications

Publications

★ represents student co-author; ♦ indicates alphabetical order

Manuscripts (on open-access archives)

R. Miao^★, X. Zhang and R. K. W. Wong. (2020) "A Wavelet-Based Independence Test for Functional Data with an Application to MEG Functional Connectivity".
Abstract arXiv

Y. Zhou^★, R. K. W. Wong and K. He. (2020) "Broadcasted Nonparametric Tensor Regression".
Abstract arXiv

T. V. Nguyen^★, R. K. W. Wong and C. Hegde. (2019) "Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis".
Abstract arXiv

Refereed Papers

2021

J. Wang^★, R. K. W. Wong and X. Zhang. (2021+) "Low-Rank Covariance Function Estimation for Multidimensional Functional Data". Journal of the American Statistical Association.
ASA Section on Nonparametric Statistics Student Paper Award (J. Wang)
Abstract Journal arXiv

X. Mao^★, R. K. W. Wong and S. X. Chen. (2021+) "Matrix Completion under Low-Rank Missing Mechanism". Statistica Sinica.
Abstract Journal arXiv

Y. Zhou^★, R. K. W. Wong and K. He. (2021) "Tensor Linear Regression: Degeneracy and Solution". IEEE Access, 9, 7775-7788.
Abstract Journal arXiv

2020

Y. Su^★, R. K. W. Wong and T. C. M. Lee. (2020) "Network Estimation via Graphon with Node Features". IEEE Transactions on Network Sciences and Engineering, 7(3), 2078-2089.
Abstract Journal arXiv

I. Song^★, I. H. Cho and R. K. W. Wong. (2020) "An Advanced Statistical Approach to Data-Driven Earthquake Engineering". Journal of Earthquake Engineering, 24(8), 1245-1269.
Abstract Journal

X. Mao^★, S. Dutta, R. K. W. Wong and D. Nettleton. (2020) "Adjusting for Spatial Effects in Genomic Prediction". Journal of Agricultural, Biological, and Environmental Statistics, 25(4), 699–718.
Abstract Journal arXiv

W. Liu^♦, X. Mao^♦ and R. K. W. Wong^♦. (2020) "Median Matrix Completion: from Embarrassment to Optimality". International Conference on Machine Learning (ICML).
Abstract arXiv

P. Dutta^★, O. Balcells-Quintana^★, A. Viros^★, R. Whittle^★, P. K. Josan^★, N. Beebe^★, B. Dunbar, R. K. W. Wong, A. Diaz-Artiles and D. Selva. (2020) "Virtual Assistant for Anomaly Treatment in Long Duration Exploration Missions". AIAA SciTech Forum.
Abstract Proceedings

2019

T. V. Nguyen^★, R. K. W. Wong and C. Hegde. (2019) "Provably Accurate Double-Sparse Coding". Journal of Machine Learning Research, 20(141), 1−43.
Abstract Journal arXiv

T. V. Nguyen^★, R. K. W. Wong and C. Hegde. (2019) "On the Dynamics of Gradient Descent for Autoencoders". International Conference on Artificial Intelligence and Statistics (AISTATS).
Earlier version 'Autoencoders Learn Generative Linear Models' appeared at ICML2018 workshop on Theoretical Foundations and Applications of Deep Generative Models
Abstract Proceedings arXiv

R. K. W. Wong, Y. Li and Z. Zhu. (2019) "Partially Linear Functional Additive Models for Multivariate Functional Data". Journal of the American Statistical Association, 114(525), 406-418.
Abstract Journal Supplement

X. Mao^★, S. X. Chen^♦ and R. K. W. Wong^♦. (2019) "Matrix Completion with Covariate Information". Journal of the American Statistical Association, 114(525), 198-210.
ICSA Student Paper Award (X. Mao)
Abstract Journal Supplement

J. Wang^★, R. K. W. Wong and T. C. M. Lee. (2019) "Locally Linear Embedding with Additive Noise". Pattern Recognition Letters 123, 47-52.
Abstract Journal

R. K. W. Wong and X. Zhang. (2019) "Nonparametric Operator-Regularized Covariance Function Estimation for Functional Data". Computational Statistics & Data Analysis, 131, Special Issue on High-dimensional and Functional Data Analysis, 131-144.
Abstract Journal arXiv Supplement Code

2018

R. K. W. Wong and K. C. G. Chan. (2018) "Kernel-based Covariate Functional Balancing for Observational Studies". Biometrika, 105(1), 199-213.
Abstract Journal PDF Supplement Code

T. Nguyen^★, R. K. W. Wong and C. Hegde. (2018) "A Provable Approach for Double-Sparse Coding". AAAI Conference on Artificial Intelligence (AAAI).
Oral Presentation
Abstract Proceedings arXiv

2017

R. K. W. Wong and T. C. M. Lee. (2017) "Matrix Completion with Noisy Entries and Outliers". Journal of Machine Learning Research, 18(147), 1-25.
Abstract Journal arXiv

Z. Liao^★, G. T. Amariucai, R. K. W. Wong and Y. Guan. (2017) "The Impact of Discharge Inversion Effect on Learning SRAM Power-Up Statistics". IEEE Asian Hardware Oriented Security and Trust Symposium (AsianHOST).
Abstract Proceedings

R. K. W. Wong, C. B. Storlie and T. C. M. Lee. (2017) "A Frequentist Approach to Computer Model Calibration". Journal of the Royal Statistical Society: Series B, 79(2), 635-648.
Abstract Journal arXiv Supplement Code

2016

R. K. W. Wong, T. C. M. Lee, D. Paul, J. Peng and for the Alzheimer's Disease Neuroimaging Initiative. (2016) "Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI". The Annals of Applied Statistics, 10(3), 1137-1156.
Discussion Paper
Abstract Journal arXiv PDF Supplement

R. K. W. Wong, V. L. Kashyap, T. C. M. Lee and D. A. van Dyk. (2016) "Detecting Abrupt Changes in the Spectra of High-energy Astrophysical Sources". The Annals of Applied Statistics, 10(2), 1107-1134.
Abstract Journal arXiv PDF Code

2014

S. Han, R. K. W. Wong, T. C. M. Lee, L. Shen, S.-Y. R. Li and X. Fan. (2014) "A Full Bayesian Approach for Boolean Genetic Network Inference". PLoS ONE, 9(12):e115806.
Abstract Journal

R. K. W. Wong, P. Baines, A. Aue, T. C. M. Lee and V. L. Kashyap. (2014) "Automatic Estimation of Flux Distributions of Astrophysical Source Populations". The Annals of Applied Statistics, 8(3), 1690-1712.
Abstract Journal arXiv PDF Supplement

R. K. W. Wong, F. Yao and T. C. M. Lee. (2014) "Robust Estimation for Generalized Additive Models". Journal of Computational and Graphical Statistics, 23(1), 270–289.
ASA Section on Nonparametric Statistics Student Paper Award
Abstract Journal Code

2010

R. C. S. Lai^♦, T. C. M. Lee^♦, R. K. W. Wong^♦ and F. Yao^♦. (2010) "Nonparametric Cepstrum Estimation via Optimal Risk Smoothing". IEEE Transactions on Signal Processing, 58(3), 1507-1514.
Abstract Journal

R. K. W. Wong, R. C. S. Lai and T. C. M. Lee. (2010) "Structural Break Estimation of Noisy Sinusoidal Signals". Signal Processing, 90(1), 303–312.
Abstract Journal