Jiguo Cao - RankMe

54 papers B 1C 1Journal 51Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized Bayesian multidimensional scaling and model comparison. Stat. Comput. Jiarui Zhang, Jiguo Cao, Liangliang Wang
2026	J	`jnl`	Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge. CoRR Siying Ma, Mehrdad M. Zadeh, Mauricio Soroco, Wuyang Chen, Jiguo Cao, Vijay Ganesh
2025	J	`jnl`	Dynamic Survival Prediction using Longitudinal Images based on Transformer. CoRR Bingfan Liu, Haolun Shi, Jiguo Cao
2025	J	`jnl`	Optimal subsampling for generalized additive models on large-scale datasets. Stat. Comput. Lili Li, Bingfan Liu, Xiaodi Liu, Haolun Shi, Jiguo Cao
2025	J	`jnl`	Probabilistic Functional Neural Networks. CoRR Haixu Wang, Jiguo Cao
2025	J	`jnl`	Robust Bayesian functional principal component analysis. Stat. Comput. Jiarui Zhang, Jiguo Cao, Liangliang Wang
2024	J	`jnl`	Dynamic Survival Prediction Using Sparse Longitudinal Images via Multi-Dimensional Functional Principal Component Analysis. J. Comput. Graph. Stat. Haolun Shi, Shu Jiang, Da Ma, Mirza Faisal Beg, Jiguo Cao
2024	J	`jnl`	Functional Autoencoder for Smoothing and Representation Learning. CoRR Sidi Wu, Cédric Beaulac, Jiguo Cao
2024	J	`jnl`	Functional Nonlinear Learning. J. Comput. Graph. Stat. Haixu Wang, Jiguo Cao
2024	J	`jnl`	Functional autoencoder for smoothing and representation learning. Stat. Comput. Sidi Wu, Cédric Beaulac, Jiguo Cao
2024	J	`jnl`	Representation learning of dynamic networks. CoRR Haixu Wang, Jiguo Cao, Jian Pei
2023	J	`jnl`	Automatic search intervals for the smoothing parameter in penalized splines. Stat. Comput. Zheyuan Li, Jiguo Cao
2023	J	`jnl`	Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information. IEEE Trans. Knowl. Data Eng. Haolun Shi, Mohammad A. Tayebi, Jian Pei, Jiguo Cao
2023	J	`jnl`	Deep Learning With Functional Inputs. J. Comput. Graph. Stat. Barinder Thind, Kevin Multani, Jiguo Cao
2023	J	`jnl`	Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data. J. Mach. Learn. Res. Hua Liu, Jinhong You, Jiguo Cao
2023	J	`jnl`	Neural networks for scalar input and functional output. Stat. Comput. Sidi Wu, Cédric Beaulac, Jiguo Cao
2023	J	`jnl`	Neuroimaging feature extraction using a neural network classifier for imaging genetics. BMC Bioinform. Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
2023	J	`jnl`	Unsupervised learning on U.S. weather forecast performance. Comput. Stat. Chuyuan Lin, Ying Yu, Lucas Y. Wu, Jiguo Cao
2023	J	`jnl`	pCODE: Estimating Parameters of ODE Models. R J. Haixu Wang, Jiguo Cao
2022	J	`jnl`	A Joint estimation approach to sparse additive ordinary differential equations. Stat. Comput. Nan Zhang, Muye Nanshan, Jiguo Cao
2022	J	`jnl`	Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations. Comput. Stat. Data Anal. Muye Nanshan, Nan Zhang, Xiaolei Xun, Jiguo Cao
2022	J	`jnl`	Functional Nonlinear Learning. CoRR Haixu Wang, Jiguo Cao
2022	J	`jnl`	Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. CoRR 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
2022	J	`jnl`	Neural Networks for Scalar Input and Functional Output. CoRR Sidi Wu, Cédric Beaulac, Jiguo Cao
2022	J	`jnl`	Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics. CoRR Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
2022	J	`jnl`	Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. CoRR 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
2022	J	`jnl`	Sparse functional partial least squares regression with a locally sparse slope function. Stat. Comput. Tianyu Guan, Zhenhua Lin, Kevin Groves, Jiguo Cao
2022	J	`jnl`	Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction. J. Comput. Graph. Stat. Haolun Shi, Yuping Yang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jian Pei, Jiguo Cao
2021	J	`jnl`	Appointment scheduling with a quantile objective. Comput. Oper. Res. Peijun Sang, Mehmet A. Begen, Jiguo Cao
2020	J	`jnl`	Deep Learning with Functional Inputs. CoRR Barinder Thind, Kevin Multani, Jiguo Cao
2020	J	`jnl`	Estimating time-varying directed neural networks. Stat. Comput. Haixu Wang, Jiguo Cao
2020	J	`jnl`	FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces. CoRR Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao
2020	J	`jnl`	Functional single-index quantile regression models. Stat. Comput. Peijun Sang, Jiguo Cao
2020	J	`jnl`	Neural Networks as Functional Classifiers. CoRR Barinder Thind, Kevin Multani, Jiguo Cao
2020	J	`jnl`	Sparse functional principal component analysis in a new regression framework. Comput. Stat. Data Anal. Yunlong Nie, Jiguo Cao
2019	J	`jnl`	Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions. Comput. Stat. Data Anal. Baisen Liu, Liangliang Wang, Yunlong Nie, Jiguo Cao
2019	J	`jnl`	Weighted empirical likelihood inference for dynamical correlations. Comput. Stat. Data Anal. Peijun Sang, Liangliang Wang, Jiguo Cao
2018	J	`jnl`	Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes. Monte Carlo Methods Appl. Baisen Liu, Liangliang Wang, Jiguo Cao
2018	J	`jnl`	Sparse estimation for functional semiparametric additive models. J. Multivar. Anal. Peijun Sang, Richard A. Lockhart, Jiguo Cao
2018	J	`jnl`	Supervised functional principal component analysis. Stat. Comput. Yunlong Nie, Liangliang Wang, Baisen Liu, Jiguo Cao
2017	J	`jnl`	Estimating functional linear mixed-effects regression models. Comput. Stat. Data Anal. Baisen Liu, Liangliang Wang, Jiguo Cao
2017	B	`conf`	Fitting a Stochastic Model to Eye Movement Time Series in a Categorization Task. CogSci Paul F. Tupper, Thuan Pham Nguyen, Yunlong Nie, Jiguo Cao, Liangliang Wang
2014	J	`jnl`	Estimating mixed-effects differential equation models. Stat. Comput. L. Wang, Jiguo Cao, James O. Ramsay, D. M. Burger, C. J. L. Laporte, Jürgen K. Rockstroh
2012	J	`jnl`	Estimating curves and derivatives with parametric penalized spline smoothing. Stat. Comput. Jiguo Cao, Jing Cai, Liangliang Wang
2012	J	`jnl`	Estimating generalized semiparametric additive models using parameter cascading. Stat. Comput. Jiguo Cao
2011	J	`jnl`	Blockwise empirical likelihood for time series of counts. J. Multivar. Anal. Rongning Wu, Jiguo Cao
2011	J	`jnl`	Systems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems. BMC Syst. Biol. Rongling Wu, Jiguo Cao, Zhongwen Huang, Zhong Wang, Junyi Gai, C. Eduardo Vallejos
2010	J	`jnl`	Automated Load Curve Data Cleansing in Power Systems. IEEE Trans. Smart Grid Jiyi Chen, Wenyuan Li, Adriel Lau, Jiguo Cao, Ke Wang
2010	C	`conf`	Functional data classification for temporal gene expression data with kernel-induced random forests. CIBCB Guangzhe Fan, Jiguo Cao, Jiheng Wang
2010	—	`conf`	Signal Classification Using Random Forest with Kernels. AICT Jiguo Cao, Guangzhe Fan
2009	J	`jnl`	Generalized profiling estimation for global and adaptive penalized spline smoothing. Comput. Stat. Data Anal. Jiguo Cao, James O. Ramsay
2008	J	`jnl`	Estimating dynamic models for gene regulation networks. Bioinform. Jiguo Cao, Hongyu Zhao
2007	J	`jnl`	Parameter cascades and profiling in functional data analysis. Comput. Stat. Jiguo Cao, James O. Ramsay
2006	J	`jnl`	An S-Plus function to calculate relative risks and adjusted means for regression models using natural splines. Comput. Methods Programs Biomed. Jiguo Cao, Marie-France Valois, Mark S. Goldberg