Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo method. - Ke Tang; Samuel W. K. Wong; Jun S. Liu; Jinfeng Zhang; Jie Liang (Bioinform., 2015)

Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach. - Samuel W. K. Wong; Conroy Lum; Lang Wu; James V. Zidek (Technometrics, 2016)

Sequential Graph Matching with Sequential Monte Carlo. - Seong-Hwan Jun; Samuel W. K. Wong; James V. Zidek; Alexandre Bouchard-Côté (AISTATS, 2017)

Bayesian Analysis of Accumulated Damage Models in Lumber Reliability. - Chun-Hao Yang; James V. Zidek; Samuel W. K. Wong (Technometrics, 2019)

The Duration of Load Effect in Lumber as Stochastic Degradation. - Samuel W. K. Wong; James V. Zidek (IEEE Trans. Reliab., 2019)

A comparison study on nonlinear dimension reduction methods with kernel variations: Visualization, optimization and classification. - Katherine C. Kempfert; Yishi Wang; Cuixian Chen; Samuel W. K. Wong (Intell. Data Anal., 2020)

Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images. - Shenyi Pan; Shuxian Fan; Samuel W. K. Wong; James V. Zidek; Helge Rhodin (WACV, 2021)

BAMBI: An R Package for Fitting Bivariate Angular Mixture Models. - Saptarshi Chakraborty; Samuel W. K. Wong (J. Stat. Softw., 2021)

A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations. - Mingwei Xu; Samuel W. K. Wong; Peijun Sang (J. Comput. Graph. Stat., 2024)

magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes. - Samuel W. K. Wong; Shihao Yang 002; S. C. Kou (J. Stat. Softw., 2024)

Particle Gibbs for likelihood-free inference of stochastic volatility models. - Zhaoran Hou; Samuel W. K. Wong (Stat. Comput., 2025)