Jinran Wu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noise	2024	Yilong Hou Xian Li Jinran Wu
+ PDF Chat	An adaptive trimming approach to Bayesian additive regression trees	2024	Taoyun Cao Jinran Wu You‐Gan Wang
+	Inflation Transmission Diagnostics via a Bayesian Graph Vector Autoregressive Model with Markov Switching	2024	Jiali Fu Fengjing Cai Jinran Wu Shangrui Zhao You‐Gan Wang
+ PDF Chat	Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study	2024	Yuan Jin Xue‐Lan Qiu Jinran Wu Jiesi Guo Weide Li You‐Gan Wang
+ PDF Chat	Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions	2024	Xian Li Jiaxin Deng Jinran Wu Shaotong Zhang Weide Li You‐Gan Wang
+	Recent advances in longitudinal data analysis	2024	Liya Fu You‐Gan Wang Jinran Wu
+ PDF Chat	Extreme Learning Machine-Assisted Solution of Biharmonic Equations Via its Coupled Schemes	2024	Xian Li Jinran Wu Zhe Ding Xin Tai Liang Liu You‐Gan Wang
+	Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions	2023	Jiaxin Deng Xi'an Li Jinran Wu S. J. Zhang W.D. Li You‐Gan Wang
+	Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks	2023	Xi'an Li Jinran Wu Zhi‐Qin John Xu You‐Gan Wang
+	Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes	2023	Xi'an Li Jinran Wu Jiaxin Deng You‐Gan Wang Xin Tai Jianhua Xu
+ PDF Chat	A working likelihood approach to support vector regression with a data-driven insensitivity parameter	2022	Jinran Wu You‐Gan Wang
+ PDF Chat	An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems	2022	Yang Yang Yuchao Gao Shuang Tan Shangrui Zhao Jinran Wu Shangce Gao Tengfei Zhang Yu‐Chu Tian You‐Gan Wang
+	Improve Exploration of Arithmetic Optimization Algorithm by Opposition-based Learning	2021	Xia Lin Haomiao Li Xin Jiang Yuchao Gao Jinran Wu Yang Yang
+ PDF Chat	Influential factors on Chinese airlines’ profitability and forecasting methods	2020	Xu Xu Clare A. McGrory You‐Gan Wang Jinran Wu
+ PDF Chat	Predication of Inflection Point and Outbreak Size of COVID-19 in New Epicentres	2020	Qibin Duan Jinran Wu Gaojun Wu You‐Gan Wang
+	A working likelihood approach to support vector regression with a data-driven insensitivity parameter	2020	Jinran Wu You‐Gan Wang

Common Coauthors

Coauthor	Papers Together
You‐Gan Wang	14
Xi'an Li	3
Xian Li	3
Weide Li	2
Xin Tai	2
Yang Yang	2
Shangrui Zhao	2
Yuchao Gao	2
Jiaxin Deng	2
Yu‐Chu Tian	1
Shuang Tan	1
Xu Xu	1
Jiaxin Deng	1
Xue‐Lan Qiu	1
Fengjing Cai	1
Haomiao Li	1
Shaotong Zhang	1
Liang Liu	1
Jianhua Xu	1
Xin Jiang	1
Liya Fu	1
Yuan Jin	1
W.D. Li	1
Jiali Fu	1
Yilong Hou	1
S. J. Zhang	1
Zhi‐Qin John Xu	1
Jiesi Guo	1
Shangce Gao	1
Qibin Duan	1
Tengfei Zhang	1
Zhe Ding	1
Xia Lin	1
Gaojun Wu	1
Clare A. McGrory	1
Taoyun Cao	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A working likelihood approach for robust regression	2020	Liya Fu You‐Gan Wang Fengjing Cai	3
+ PDF Chat	A working likelihood approach to support vector regression with a data-driven insensitivity parameter	2022	Jinran Wu You‐Gan Wang	2
+ PDF Chat	RE-EM trees: a data mining approach for longitudinal and clustered data	2011	Rebecca J. Sela Jeffrey S. Simonoff	2
+	The Arithmetic Optimization Algorithm	2021	Laith Abualigah Ali Diabat Seyedali Mirjalili Mohamed Abd Elaziz Amir H. Gandomi	2
+	Robust Estimation Using the Huber Function With a Data-Dependent Tuning Constant	2007	You‐Gan Wang Lin Xu Min Zhu Zhidong Bai	2
+	Standard errors and covariance matrices for smoothed rank estimators	2005	B. M. Brown You‐Gan Wang	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+	Working covariance model selection for generalized estimating equations	2011	Vincent J. Carey You‐Gan Wang	1
+	Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data	2015	Jing Lv Hu Yang Chaohui Guo	1
+	Generalized Estimating Equations	2012	Ross Darnell	1
+	Optimal equivariant estimator with respect to convex loss function	1997	Steven Bai T.M. Durairajan	1
+	Testing Goodness of Fit for a Parametric Family of Link Functions	1994	K. F. Cheng Jingcheng Wu	1
+ PDF Chat	Quantile regression for longitudinal data	2004	Roger Koenker	1
+	Weighted empirical likelihood for generalized linear models with longitudinal data	2010	Yang Bai Wing K. Fung Zhongyi Zhu	1
+ PDF Chat	Rank-based variable selection with censored data	2009	Jinfeng Xu Chenlei Leng Zhiliang Ying	1
+	Quantile regression for longitudinal data with a working correlation model	2012	Liya Fu You‐Gan Wang	1
+	Rank-Based Analyses of Linear Models Using<i>R</i>	2005	Jeff Terpstra Joseph W. McKean	1
+	Longitudinal data model selection	2005	Rahman Azari Lexin Li Chih‐Ling Tsai	1
+	SCAD penalized rank regression with a diverging number of parameters	2014	Hu Yang Chaohui Guo Jing Lv	1
+	Extended Generalized Estimating Equations for Clustered Data	1998	Daniel B. Hall Thomas A. Severini	1
+	A Modified Pseudolikelihood Approach for Analysis of Longitudinal Data	2007	You‐Gan Wang Yuning Zhao	1
+	Rank regression for analysis of clustered data: A natural induced smoothing approach	2009	Liya Fu You‐Gan Wang Zhidong Bai	1
+	Variable selection in robust regression models for longitudinal data	2012	Yali Fan Guoyou Qin Zhongyi Zhu	1
+	Mixed-effects random forest for clustered data	2012	Ahlem Hajjem François Bellavance Denis Larocque	1
+	Working‐correlation‐structure identification in generalized estimating equations	2008	Lin‐Yee Hin You‐Gan Wang	1
+	Ridge Regression: Applications to Nonorthogonal Problems	1970	Arthur E. Hoerl Robert W. Kennard	1
+	Rank-based regression with repeated measurements data	2003	Sin‐Ho Jung Zhiliang Ying	1
+	Mixed effects regression trees for clustered data	2010	Ahlem Hajjem François Bellavance Denis Larocque	1
+	A Caveat Concerning Independence Estimating Equations with Multivariate Binary Data	1995	Garrett M. Fitzmaurice	1
+ PDF Chat	Variable selection in robust joint mean and covariance model for longitudinal data analysis	2013	Xueying Zheng Wing K. Fung Zhongyi Zhu	1
+	Unbiased Estimating Equations From Working Correlation Models for Irregularly Timed Repeated Measures	2004	You‐Gan Wang Vincent J. Carey	1
+ PDF Chat	A summary of numerical methods for time-dependent advection-dominated partial differential equations	2001	Richard E. Ewing Hong Wang	1
+	Estimating Optimal Transformations for Multiple Regression and Correlation	1985	Leo Breiman Jerome H. Friedman	1
+	Unbiased regression trees for longitudinal and clustered data	2015	Wei Fu Jeffrey S. Simonoff	1
+	Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance	2003	You‐Gan Wang	1
+	Criterion for the Selection of a Working Correlation Structure in the Generalized Estimating Equation Approach for Longitudinal Balanced Data	2011	Masahiko Gosho Chikuma Hamada Isao Yoshimura	1
+	On modelling mean-covariance structures in longitudinal studies	2003	Jianxin Pan Gilbert MacKenzie	1
+	Performance of Generalized Estimating Equations in Practical Situations	1994	Stuart R. Lipsitz Garrett M. Fitzmaurice E. John Orav Nan M. Laird	1
+	A coordinate gradient descent method for nonsmooth separable minimization	2007	Paul Tseng Sangwoon Yun	1
+	Variable selection in quantile varying coefficient models with longitudinal data	2012	Yanlin Tang Huixia Wang Zhongyi Zhu	1
+ PDF Chat	Robust Estimation of a Location Parameter	1964	Peter J. Huber	1
+ PDF Chat	Efficiency of Generalized Estimating Equations for Binary Responses	2004	N. Rao Chaganty Harry Joe	1
+ PDF Chat	Shrinkage Tuning Parameter Selection with a Diverging number of Parameters	2008	Hansheng Wang Bo Li Chenlei Leng	1
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	1
+	Efficient Estimation for Rank‐Based Regression with Clustered Data	2012	Liya Fu You‐Gan Wang	1
+	Penalized Generalized Estimating Equations for High‐Dimensional Longitudinal Data Analysis	2011	Lan Wang Jianhui Zhou Annie Qu	1
+	A variant of Newton's method with accelerated third-order convergence	2000	Sunethra Weerakoon T.G.I. Fernando	1
+ PDF Chat	Empirical Likelihood and General Estimating Equations	1994	Qin Jin Jerry Lawless	1
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	1
+	A Survey of Methods for Analyzing Clustered Binary Response Data	1996	Jane Pendergast Stephen J. Gange Michael A. Newton Mary J. Lindstrom Mari Palta Marian R. Fisher	1