Samuel W. K. Wong

According to our database, Samuel W. K. Wong authored at least 9 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, S. C. Kou

J. Stat. Softw., 2024

2021

BAMBI: An R Package for Fitting Bivariate Angular Mixture Models.

Saptarshi Chakraborty, Samuel W. K. Wong

J. Stat. Softw., 2021

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

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

2019

The Duration of Load Effect in Lumber as Stochastic Degradation.

Samuel W. K. Wong, James V. Zidek

IEEE Trans. Reliab., 2019

Bayesian Analysis of Accumulated Damage Models in Lumber Reliability.

Chun-Hao Yang, James V. Zidek, Samuel W. K. Wong

Technometrics, 2019

2017

Sequential Graph Matching with Sequential Monte Carlo.

Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek, Alexandre Bouchard-Côté

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach.

Samuel W. K. Wong, Conroy Lum, Lang Wu, James V. Zidek

Technometrics, 2016

2015

Conformational sampling and structure prediction of multiple interacting loops in soluble and <i>β</i>-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