Publication

Please feel free to email me wxiao@ncsu.edu if you have any comments.

S Emrani, A McGuirk, W Xiao (2017). Prognosis and Diagnosis of Parkinson’s Disease Using Multi-Task Learning, Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . [pdf]

W Xiao, X Huang, J Silva, S Emrani and A Chaudhuri (2017). Online Robust Principal Component Analysis with Change Point Detection, arXiv:1702.05698. [pdf][Python code]
Online robust principal component analysis which can track dynamic subspace and simultaneously detect change points of underlying low-rank subspace.

W Xiao, H H Zhang and W Lu (2018). Robust regression for optimal individualized treatment rules, accepted, Statistics in Medicine. [pdf]
A new class of loss functions and estimators based on robust regression to estimate the optimal individualized treatment rules.

H Elfardy, M Srivastava, W Xiao, J Kramer, T Agarwal (2017). Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification, Proceedings of the IJCNLP 2017 [pdf]

W Xiao (2017). An Online Algorithm for Nonparametric Correlations, arXiv:1712.01521. [pdf][Python code]

W Xiao, W Lu and H H Zhang. (2016). Joint Structure Selection and Estimation in the Time-Varying Coefficient Cox model, Statistica Sinica, 26, 547-567. [pdf][R code]
Model selection in a time-varying coefficient Cox model, covariates with null effect, constant effect and truly time-varying effect.

W Xiao (2016). A probabilistic machine learning approach to detect industrial plant faults, Annual Conference of the Prognostics and Health Management Society - IEEE PHM2015 Data Challenge Winner Paper. [pdf]
A novel two-stage machine learning algorithm to predict fault events (simultaneously predict fault’s start and end times, and fault type).

A Chaudhuri, D Kakde, M Jahja, W Xiao, H Jiang, S Kong and S Peredriy (2016). Sampling Method for Fast Training of Support Vector Data Description. arXiv:1606.05382

W Xiao, Y Wu and H Zhou. (2015) ConvexLAR: an extension of least angle regression, Journal of Computational and Graphical Statistics, 24(3):603–626. [pdf][Matlab toolbox]
Least angle regression (LAR) with a general convex loss.

R Reeve, S Berry, W Xiao, B Ferguson, M Thurk and R Goetz (2015). Benefits of model-based drug development, Communications in Statistics - Simulation and Computation, 44(9): 2210-2222.

R Reeve, L Pang, B Ferguson, M O’Kelly, S Berry and W Xiao (2013). Rheumatoid arthritis disease progression modeling, Therapeutic Innovations & Regulatory Science, 47: 641-650.

W Xiao, Y Jin, D Lai, X Yang, Y Liu and C Nardini (2011). NTW: Predict gene network using an Ordinary Differential Equation (ODE) based method. R package version 1.24.0. [R package]