Jiguo Cao

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 33

Top Topics

Feature Extraction

Principal Component Analysis

Ordinary Differential Equations

Top Venues

Comput. Stat. Data Anal.

J. Comput. Graph. Stat.

Publications

Sidi Wu, Cédric Beaulac, Jiguo Cao
Functional Autoencoder for Smoothing and Representation Learning. CoRR (2024)
Haixu Wang, Jiguo Cao
Functional Nonlinear Learning. J. Comput. Graph. Stat. 33 (1) (2024)
Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
Neuroimaging feature extraction using a neural network classifier for imaging genetics. BMC Bioinform. 24 (1) (2023)
Haixu Wang, Jiguo Cao
pCODE: Estimating Parameters of ODE Models. R J. 14 (4) (2023)
Zheyuan Li, Jiguo Cao
Automatic search intervals for the smoothing parameter in penalized splines. Stat. Comput. 33 (1) (2023)
Chuyuan Lin, Ying Yu, Lucas Y. Wu, Jiguo Cao
Unsupervised learning on U.S. weather forecast performance. Comput. Stat. 38 (3) (2023)
Hua Liu, Jinhong You, Jiguo Cao
Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data. J. Mach. Learn. Res. 24 (2023)
Sidi Wu, Cédric Beaulac, Jiguo Cao
Neural networks for scalar input and functional output. Stat. Comput. 33 (5) (2023)
Haolun Shi, Mohammad A. Tayebi, Jian Pei, Jiguo Cao
Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Barinder Thind, Kevin Multani, Jiguo Cao
Deep Learning With Functional Inputs. J. Comput. Graph. Stat. 32 (1) (2023)
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
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. CoRR (2022)
Nan Zhang, Muye Nanshan, Jiguo Cao
A Joint estimation approach to sparse additive ordinary differential equations. Stat. Comput. 32 (5) (2022)
Muye Nanshan, Nan Zhang, Xiaolei Xun, Jiguo Cao
Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations. Comput. Stat. Data Anal. 173 (2022)
Tianyu Guan, Zhenhua Lin, Kevin Groves, Jiguo Cao
Sparse functional partial least squares regression with a locally sparse slope function. Stat. Comput. 32 (2) (2022)
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
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. CoRR (2022)
Haixu Wang, Jiguo Cao
Functional Nonlinear Learning. CoRR (2022)
Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics. CoRR (2022)
Sidi Wu, Cédric Beaulac, Jiguo Cao
Neural Networks for Scalar Input and Functional Output. CoRR (2022)
Haolun Shi, Yuping Yang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jian Pei, Jiguo Cao
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction. J. Comput. Graph. Stat. 31 (4) (2022)
Peijun Sang, Mehmet A. Begen, Jiguo Cao
Appointment scheduling with a quantile objective. Comput. Oper. Res. 132 (2021)
Yunlong Nie, Jiguo Cao
Sparse functional principal component analysis in a new regression framework. Comput. Stat. Data Anal. 152 (2020)
Barinder Thind, Kevin Multani, Jiguo Cao
Deep Learning with Functional Inputs. CoRR (2020)
Haixu Wang, Jiguo Cao
Estimating time-varying directed neural networks. Stat. Comput. 30 (5) (2020)
Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao
FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces. CoRR (2020)
Peijun Sang, Jiguo Cao
Functional single-index quantile regression models. Stat. Comput. 30 (4) (2020)
Barinder Thind, Kevin Multani, Jiguo Cao
Neural Networks as Functional Classifiers. CoRR (2020)
Peijun Sang, Liangliang Wang, Jiguo Cao
Weighted empirical likelihood inference for dynamical correlations. Comput. Stat. Data Anal. 131 (2019)
Baisen Liu, Liangliang Wang, Yunlong Nie, Jiguo Cao
Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions. Comput. Stat. Data Anal. 137 (2019)
Peijun Sang, Richard A. Lockhart, Jiguo Cao
Sparse estimation for functional semiparametric additive models. J. Multivar. Anal. 168 (2018)
Yunlong Nie, Liangliang Wang, Baisen Liu, Jiguo Cao
Supervised functional principal component analysis. Stat. Comput. 28 (3) (2018)
Baisen Liu, Liangliang Wang, Jiguo Cao
Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes. Monte Carlo Methods Appl. 24 (1) (2018)
Baisen Liu, Liangliang Wang, Jiguo Cao
Estimating functional linear mixed-effects regression models. Comput. Stat. Data Anal. 106 (2017)
Paul F. Tupper, Thuan Pham Nguyen, Yunlong Nie, Jiguo Cao, Liangliang Wang
Fitting a Stochastic Model to Eye Movement Time Series in a Categorization Task. CogSci (2017)
L. Wang, Jiguo Cao, James O. Ramsay, D. M. Burger, C. J. L. Laporte, Jürgen K. Rockstroh
Estimating mixed-effects differential equation models. Stat. Comput. 24 (1) (2014)
Jiguo Cao, Jing Cai, Liangliang Wang
Estimating curves and derivatives with parametric penalized spline smoothing. Stat. Comput. 22 (5) (2012)
Jiguo Cao
Estimating generalized semiparametric additive models using parameter cascading. Stat. Comput. 22 (4) (2012)
Rongning Wu, Jiguo Cao
Blockwise empirical likelihood for time series of counts. J. Multivar. Anal. 102 (3) (2011)
Rongling Wu, Jiguo Cao, Zhongwen Huang, Zhong Wang, Junyi Gai, C. Eduardo Vallejos
Systems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems. BMC Syst. Biol. 5 (2011)
Jiguo Cao, Guangzhe Fan
Signal Classification Using Random Forest with Kernels. AICT (2010)
Jiyi Chen, Wenyuan Li, Adriel Lau, Jiguo Cao, Ke Wang
Automated Load Curve Data Cleansing in Power Systems. IEEE Trans. Smart Grid 1 (2) (2010)
Guangzhe Fan, Jiguo Cao, Jiheng Wang
Functional data classification for temporal gene expression data with kernel-induced random forests. CIBCB (2010)
Jiguo Cao, James O. Ramsay
Generalized profiling estimation for global and adaptive penalized spline smoothing. Comput. Stat. Data Anal. 53 (7) (2009)
Jiguo Cao, Hongyu Zhao
Estimating dynamic models for gene regulation networks. Bioinform. 24 (14) (2008)
Jiguo Cao, James O. Ramsay
Parameter cascades and profiling in functional data analysis. Comput. Stat. 22 (3) (2007)
Jiguo Cao, Marie-France Valois, Mark S. Goldberg
An S-Plus function to calculate relative risks and adjusted means for regression models using natural splines. Comput. Methods Programs Biomed. 84 (1) (2006)