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ORCIDJiguo Cao
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2020 – today
- 2024
[j34]Haixu Wang, Jiguo Cao
:
Functional Nonlinear Learning. J. Comput. Graph. Stat. 33(1): 181-191 (2024)- [j33]Sidi Wu, Cédric Beaulac, Jiguo Cao:
Functional autoencoder for smoothing and representation learning. Stat. Comput. 34(6): 203 (2024) - [i9]Sidi Wu, Cédric Beaulac, Jiguo Cao:
Functional Autoencoder for Smoothing and Representation Learning. CoRR abs/2401.09499 (2024) - 2023
- [j32]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): 271 (2023) - [j31]Chuyuan Lin, Ying Yu, Lucas Y. Wu, Jiguo Cao:
Unsupervised learning on U.S. weather forecast performance. Comput. Stat. 38(3): 1193-1213 (2023) - [j30]Barinder Thind, Kevin Multani, Jiguo Cao:
Deep Learning With Functional Inputs. J. Comput. Graph. Stat. 32(1): 171-180 (2023) - [j29]Hua Liu, Jinhong You, Jiguo Cao:
Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data. J. Mach. Learn. Res. 24: 219:1-219:41 (2023) - [j28]Haixu Wang, Jiguo Cao:
pCODE: Estimating Parameters of ODE Models. R J. 14(4): 291-304 (2023) - [j27]Zheyuan Li, Jiguo Cao:
Automatic search intervals for the smoothing parameter in penalized splines. Stat. Comput. 33(1): 1 (2023) - [j26]Sidi Wu, Cédric Beaulac, Jiguo Cao:
Neural networks for scalar input and functional output. Stat. Comput. 33(5): 118 (2023) - [j25]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): 10451-10463 (2023) - 2022
- [j24]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: 107483 (2022) - [j23]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): 1127-1140 (2022) - [j22]Tianyu Guan, Zhenhua Lin, Kevin Groves, Jiguo Cao:
Sparse functional partial least squares regression with a locally sparse slope function. Stat. Comput. 32(2): 30 (2022) - [j21]Nan Zhang, Muye Nanshan, Jiguo Cao:
A Joint estimation approach to sparse additive ordinary differential equations. Stat. Comput. 32(5): 69 (2022) - [i8]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 abs/2203.05707 (2022) - [i7]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 abs/2205.01188 (2022) - [i6]Haixu Wang, Jiguo Cao:
Functional Nonlinear Learning. CoRR abs/2206.11424 (2022) - [i5]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 abs/2207.10794 (2022) - [i4]Sidi Wu, Cédric Beaulac, Jiguo Cao:
Neural Networks for Scalar Input and Functional Output. CoRR abs/2208.05776 (2022) - 2021
- [j20]Peijun Sang, Mehmet A. Begen, Jiguo Cao:
Appointment scheduling with a quantile objective. Comput. Oper. Res. 132: 105295 (2021) - 2020
- [j19]Yunlong Nie, Jiguo Cao:
Sparse functional principal component analysis in a new regression framework. Comput. Stat. Data Anal. 152: 107016 (2020) - [j18]Peijun Sang, Jiguo Cao:
Functional single-index quantile regression models. Stat. Comput. 30(4): 771-781 (2020) - [j17]Haixu Wang, Jiguo Cao:
Estimating time-varying directed neural networks. Stat. Comput. 30(5): 1209-1220 (2020) - [i3]Barinder Thind, Kevin Multani, Jiguo Cao:
Deep Learning with Functional Inputs. CoRR abs/2006.09590 (2020) - [i2]Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao:
FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces. CoRR abs/2009.09111 (2020) - [i1]Barinder Thind, Kevin Multani, Jiguo Cao:
Neural Networks as Functional Classifiers. CoRR abs/2010.04305 (2020)
2010 – 2019
- 2019
- [j16]Peijun Sang, Liangliang Wang, Jiguo Cao:
Weighted empirical likelihood inference for dynamical correlations. Comput. Stat. Data Anal. 131: 194-206 (2019) - [j15]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: 233-246 (2019) - 2018
- [j14]Peijun Sang, Richard A. Lockhart, Jiguo Cao:
Sparse estimation for functional semiparametric additive models. J. Multivar. Anal. 168: 105-118 (2018) - [j13]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): 117-127 (2018) - [j12]Yunlong Nie, Liangliang Wang, Baisen Liu, Jiguo Cao:
Supervised functional principal component analysis. Stat. Comput. 28(3): 713-723 (2018) - 2017
- [j11]Baisen Liu, Liangliang Wang, Jiguo Cao:
Estimating functional linear mixed-effects regression models. Comput. Stat. Data Anal. 106: 153-164 (2017) - [c3]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 - 2014
- [j10]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): 111-121 (2014) - 2012
- [j9]Jiguo Cao:
Estimating generalized semiparametric additive models using parameter cascading. Stat. Comput. 22(4): 857-865 (2012) - [j8]Jiguo Cao, Jing Cai, Liangliang Wang:
Estimating curves and derivatives with parametric penalized spline smoothing. Stat. Comput. 22(5): 1059-1067 (2012) - 2011
- [j7]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: 84 (2011) - [j6]Rongning Wu, Jiguo Cao:
Blockwise empirical likelihood for time series of counts. J. Multivar. Anal. 102(3): 661-673 (2011) - 2010
- [j5]Jiyi Chen, Wenyuan Li, Adriel Lau, Jiguo Cao, Ke Wang:
Automated Load Curve Data Cleansing in Power Systems. IEEE Trans. Smart Grid 1(2): 213-221 (2010) - [c2]Jiguo Cao, Guangzhe Fan:
Signal Classification Using Random Forest with Kernels. AICT 2010: 191-195 - [c1]Guangzhe Fan, Jiguo Cao, Jiheng Wang:
Functional data classification for temporal gene expression data with kernel-induced random forests. CIBCB 2010: 1-5
2000 – 2009
- 2009
- [j4]Jiguo Cao, James O. Ramsay:
Generalized profiling estimation for global and adaptive penalized spline smoothing. Comput. Stat. Data Anal. 53(7): 2550-2562 (2009) - 2008
- [j3]Jiguo Cao, Hongyu Zhao:
Estimating dynamic models for gene regulation networks. Bioinform. 24(14): 1619-1624 (2008) - 2007
- [j2]Jiguo Cao, James O. Ramsay:
Parameter cascades and profiling in functional data analysis. Comput. Stat. 22(3): 335-351 (2007) - 2006
- [j1]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): 58-62 (2006)
Coauthor Index
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