Jiguo Cao

According to our database, Jiguo Cao authored at least 43 papers between 2006 and 2025.

Collaborative distances:

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

2025

Optimal subsampling for generalized additive models on large-scale datasets.

Lili Li, Bingfan Liu, Xiaodi Liu, Haolun Shi, Jiguo Cao

Stat. Comput., February, 2025

2024

Functional autoencoder for smoothing and representation learning.

Sidi Wu, Cédric Beaulac, Jiguo Cao

Stat. Comput., December, 2024

Functional Nonlinear Learning.

Haixu Wang, Jiguo Cao

J. Comput. Graph. Stat., 2024

Representation learning of dynamic networks.

Haixu Wang, Jiguo Cao, Jian Pei

CoRR, 2024

2023

Neuroimaging feature extraction using a neural network classifier for imaging genetics.

Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo

BMC Bioinform., December, 2023

Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information.

Haolun Shi, Mohammad A. Tayebi, Jian Pei, Jiguo Cao

IEEE Trans. Knowl. Data Eng., October, 2023

Neural networks for scalar input and functional output.

Sidi Wu, Cédric Beaulac, Jiguo Cao

Stat. Comput., October, 2023

Unsupervised learning on U.S. weather forecast performance.

Chuyuan Lin, Ying Yu, Lucas Y. Wu, Jiguo Cao

Comput. Stat., September, 2023

pCODE: Estimating Parameters of ODE Models.

Haixu Wang, Jiguo Cao

R J., February, 2023

Deep Learning With Functional Inputs.

Barinder Thind, Kevin Multani, Jiguo Cao

J. Comput. Graph. Stat., January, 2023

Automatic search intervals for the smoothing parameter in penalized splines.

Zheyuan Li, Jiguo Cao

Stat. Comput., 2023

Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data.

Hua Liu, Jinhong You, Jiguo Cao

J. Mach. Learn. Res., 2023

2022

Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction.

Haolun Shi, Yuping Yang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jian Pei, Jiguo Cao

J. Comput. Graph. Stat., October, 2022

A Joint estimation approach to sparse additive ordinary differential equations.

Nan Zhang, Muye Nanshan, Jiguo Cao

Stat. Comput., 2022

Sparse functional partial least squares regression with a locally sparse slope function.

Tianyu Guan, Zhenhua Lin, Kevin Groves, Jiguo Cao

Stat. Comput., 2022

Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations.

Muye Nanshan, Nan Zhang, Xiaolei Xun, Jiguo Cao

Comput. Stat. Data Anal., 2022

Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis.

Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E. Galvin, Lei Wang, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2022

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease.

Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E. Galvin, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2022

2021

Appointment scheduling with a quantile objective.

Peijun Sang, Mehmet A. Begen, Jiguo Cao

Comput. Oper. Res., 2021

2020

Estimating time-varying directed neural networks.

Haixu Wang, Jiguo Cao

Stat. Comput., 2020

Functional single-index quantile regression models.

Peijun Sang, Jiguo Cao

Stat. Comput., 2020

Sparse functional principal component analysis in a new regression framework.

Yunlong Nie, Jiguo Cao

Comput. Stat. Data Anal., 2020

Neural Networks as Functional Classifiers.

Barinder Thind, Kevin Multani, Jiguo Cao

CoRR, 2020

FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces.

Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao

CoRR, 2020

2019

Weighted empirical likelihood inference for dynamical correlations.

Peijun Sang, Liangliang Wang, Jiguo Cao

Comput. Stat. Data Anal., 2019

Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions.

Baisen Liu, Liangliang Wang, Yunlong Nie, Jiguo Cao

Comput. Stat. Data Anal., 2019

2018

Supervised functional principal component analysis.

Yunlong Nie, Liangliang Wang, Baisen Liu, Jiguo Cao

Stat. Comput., 2018

Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes.

Baisen Liu, Liangliang Wang, Jiguo Cao

Monte Carlo Methods Appl., 2018

Sparse estimation for functional semiparametric additive models.

Peijun Sang, Richard A. Lockhart, Jiguo Cao

J. Multivar. Anal., 2018

2017

Estimating functional linear mixed-effects regression models.

Baisen Liu, Liangliang Wang, Jiguo Cao

Comput. Stat. Data Anal., 2017

Fitting a Stochastic Model to Eye Movement Time Series in a Categorization Task.

Paul F. Tupper, Thuan Pham Nguyen, Yunlong Nie, Jiguo Cao, Liangliang Wang

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2014

Estimating mixed-effects differential equation models.

L. Wang, Jiguo Cao, James O. Ramsay, D. M. Burger, C. J. L. Laporte, Jürgen K. Rockstroh

Stat. Comput., 2014

2012

Estimating curves and derivatives with parametric penalized spline smoothing.

Jiguo Cao, Jing Cai, Liangliang Wang

Stat. Comput., 2012

Estimating generalized semiparametric additive models using parameter cascading.

Jiguo Cao

Stat. Comput., 2012

2011

Blockwise empirical likelihood for time series of counts.

Rongning Wu, Jiguo Cao

J. Multivar. Anal., 2011

Systems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems.

Rongling Wu, Jiguo Cao, Zhongwen Huang, Zhong Wang, Junyi Gai, C. Eduardo Vallejos

BMC Syst. Biol., 2011

2010

Automated Load Curve Data Cleansing in Power Systems.

Jiyi Chen, Wenyuan Li, Adriel Lau, Jiguo Cao, Ke Wang

IEEE Trans. Smart Grid, 2010

Functional data classification for temporal gene expression data with kernel-induced random forests.

Guangzhe Fan, Jiguo Cao, Jiheng Wang

Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Signal Classification Using Random Forest with Kernels.

Jiguo Cao, Guangzhe Fan

Proceedings of the Sixth Advanced International Conference on Telecommunications, 2010

2009

Generalized profiling estimation for global and adaptive penalized spline smoothing.

Jiguo Cao, James O. Ramsay

Comput. Stat. Data Anal., 2009

2008

Estimating dynamic models for gene regulation networks.

Jiguo Cao, Hongyu Zhao

Bioinform., 2008

2007

Parameter cascades and profiling in functional data analysis.

Jiguo Cao, James O. Ramsay

Comput. Stat., 2007

2006

An S-Plus function to calculate relative risks and adjusted means for regression models using natural splines.

Jiguo Cao, Marie-France Valois, Mark S. Goldberg

Comput. Methods Programs Biomed., 2006