Xia Hong

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All published works

Action	Title	Year	Authors
+ PDF Chat	Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification	2025	Alejandro Rodríguez Domínguez Muhammad Shahzad Xia Hong
+ PDF Chat	Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces	2024	Perusha Moodley Pramod Kaushik Dhillu Thambi Mark Trovinger Praveen Paruchuri Xia Hong Benjamin Rosman
+	Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE	2024	Wei Hong James Xiao Yichao Zhang Xia Hong
+	Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction	2023	Alejandro Rodríguez Domínguez Muhammad Shahzad Xia Hong
+ PDF Chat	Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction	2023	Alejandro Rodríguez Domínguez Muhammad Shahzad Xia Hong
+ PDF Chat	Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction	2023	Alejandro Rodríguez Domínguez Muhammad Shahzad Xia Hong
+ PDF Chat	Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks	2022	Huixuan Chi Yuying Wang Qinfen Hao Xia Hong
+	Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring	2022	Jingxin Zhang Donghua Zhou Maoyin Chen Xia Hong
+	Coupling Matrix Manifolds and Their Applications in Optimal Transport.	2019	Dai Shi Junbin Gao Xia Hong S. T. Boris Choy Zhiyong Wang
+ PDF Chat	Process Monitoring Based on Orthogonal Locality Preserving Projection with Maximum Likelihood Estimation	2019	Jingxin Zhang Maoyin Chen Hao Chen Xia Hong Donghua Zhou
+	Sparse Least Squares Low Rank Kernel Machines	2019	Di Xu Manjing Fang Xia Hong Junbin Gao
+ PDF Chat	Sparse Least Squares Low Rank Kernel Machines	2019	Di Xu Manjing Fang Xia Hong Junbin Gao
+	Coupling Matrix Manifolds and Their Applications in Optimal Transport	2019	Shi Dai Junbin Gao Xia Hong S. T. Boris Choy Zhiyong Wang
+ PDF Chat	Estimating the square root of probability density function on Riemannian manifold	2018	Xia Hong Junbin Gao
+ PDF Chat	An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring	2017	Jingxin Zhang Hao Chen Songhang Chen Xia Hong
+	Manifold optimization for nonnegative coefficient logistic regression	2016	Xia Hong Junbin Gao
+	A Fast Algorithm to Estimate the Square Root of Probability Density Function	2016	Xia Hong Junbin Gao
+ PDF Chat	Sparse density estimator with tunable kernels	2015	Xia Hong Sheng Chen Victor M. Becerra
+ PDF Chat	Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization	2015	Yanfeng Sun Junbin Gao Xia Hong Bamdev Mishra Baocai Yin
+	Sparse density estimation on multinomial manifold combining local component analysis	2015	Xia Hong Junbin Gao
+ PDF Chat	Sparse Density Estimation on the Multinomial Manifold	2015	Xia Hong Junbin Gao Sheng Chen Tanveer Zia
+	Low Rank Representation on Riemannian Manifold of Square Root Densities	2015	Yifan Fu Junbin Gao Xia Hong David Tien
+	l1-norm Penalized Orthogonal Forward Regression	2015	Xia Hong Sheng Chen Yi Guo Junbin Gao
+	Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization	2015	Yanfeng Sun Junbin Gao Xia Hong Bamdev Mishra Baocai Yin
+ PDF Chat	Tensor Regression Based on Linked Multiway Parameter Analysis	2014	Yifan Fu Junbin Gao Xia Hong David Tien
+	Dimensionality reduction assisted tensor clustering	2014	Yanfeng Sun Junbin Gao Xia Hong Yi Guo C.J. Harris
+ PDF Chat	Joint multiple dictionary learning for Tensor sparse coding	2014	Yifan Fu Junbin Gao Yanfeng Sun Xia Hong
+	Construction of Neurofuzzy Models For Imbalanced Data Classification	2014	Ming Gao Xia Hong C.J. Harris
+	Sparse probability density function estimation using the minimum integrated square error	2013	Xia Hong Sheng Chen Abdulrohman Qatawneh Khaled Daqrouq Muntasir Sheikh Ali Morfeq
+	A unified neurofuzzy model for classification	2013	Ming Gao Xia Hong C.J. Harris
+	A neurofuzzy classifier for two class problems	2012	Ming Gao Xia Hong C.J. Harris
+ PDF Chat	System identification of Wiener systems with B-spline functions using De Boor recursion	2012	Xia Hong Richard Mitchell Sheng Chen
+	Constrained Grouped Sparsity	2012	Yi Guo Junbin Gao Xia Hong
+ PDF Chat	Regression based D-optimality experimental design for sparse kernel density estimation	2009	Sheng Chen Xia Hong C.J. Harris
+	A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation	2008	Xia Hong Sheng Chen C.J. Harris
+	A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression	2007	Xia Hong Sheng Chen C.J. Harris
+	On Improvement of Classification Accuracy for Stochastic Discrimination	2005	Nuannuan Zong Xia Hong
+	Sparse Modeling Using Orthogonal Forward Regression With PRESS Statistic and Regularization	2004	Sheng Chen Xia Hong C.J. Harris Paul Sharkey
+	The Method for Numerical Inversion of the Laplace Transform by Accelerating the Series of Generalized Laguerre Polynomials	2004	Xia Hong
+	Neurofuzzy approaches to intelligent collision avoidance problems in (semi)autonomous transportation	2002	C.J. Harris Xia Hong
+	Sparse data modelling using combined locally regularized orthogonal least squares and D-optimality design	2002	Sheng Chen Xia Hong C.J. Harris
+ PDF Chat	Time series multistep-ahead predictability estimation and ranking	1999	Xia Hong S.A. Billings

Common Coauthors

Coauthor	Papers Together
Junbin Gao	17
Sheng Chen	10
C.J. Harris	10
Alejandro Rodríguez Domínguez	4
Yanfeng Sun	4
Yifan Fu	3
Yi Guo	3
Muhammad Shahzad	3
Ming Gao	3
Bamdev Mishra	2
S. T. Boris Choy	2
Donghua Zhou	2
Jingxin Zhang	2
Manjing Fang	2
Hao Chen	2
Baocai Yin	2
Maoyin Chen	2
Di Xu	2
David Tien	2
Qinfen Hao	1
Dhillu Thambi	1
Mark Trovinger	1
Wei Hong	1
Yuying Wang	1
Zhiyong Wang	1
Zhiyong Wang	1
Jingxin Zhang	1
Muntasir Sheikh	1
S.A. Billings	1
Dai Shi	1
Praveen Paruchuri	1
James Xiao	1
Yichao Zhang	1
Tanveer Zia	1
Khaled Daqrouq	1
Huixuan Chi	1
Paul Sharkey	1
Victor M. Becerra	1
Pramod Kaushik	1
Richard Mitchell	1
Ali Morfeq	1
Muhammad Shahzad	1
Songhang Chen	1
Abdulrohman Qatawneh	1
Benjamin Rosman	1
Perusha Moodley	1
Nuannuan Zong	1
Shi Dai	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	11
+	Sparse Modeling Using Orthogonal Forward Regression With PRESS Statistic and Regularization	2004	Sheng Chen Xia Hong C.J. Harris Paul Sharkey	9
+	Manopt, a Matlab toolbox for optimization on manifolds	2013	Nicolas Boumal Bamdev Mishra Pierre-Antoine Absil Rodolphe Sepulchre	8
+ PDF Chat	Low-Rank Optimization with Trace Norm Penalty	2013	Bamdev Mishra Gilles Meyer Francis Bach Rodolphe Sepulchre	7
+ PDF Chat	Sparse Density Estimation on the Multinomial Manifold	2015	Xia Hong Junbin Gao Sheng Chen Tanveer Zia	6
+	Density Estimation for Statistics and Data Analysis	1400		6
+	Support Vector Method for Multivariate Density Estimation	1999	Vladimir Vapnik Sayan Mukherjee	6
+	Optimization Algorithms on Matrix Manifolds	2007	P.-A. Absil Robert Mahony Rodolphe Sepulchre	5
+	Sparse probability density function estimation using the minimum integrated square error	2013	Xia Hong Sheng Chen Abdulrohman Qatawneh Khaled Daqrouq Muntasir Sheikh Ali Morfeq	5
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	5
+ PDF Chat	Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds	2015	Mehrtash Harandi Richard Hartley Chunhua Shen Brian C. Lovell Conrad Sanderson	5
+	Parametric Statistical Modeling by Minimum Integrated Square Error	2001	David W. Scott	4
+ PDF Chat	Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization	2015	Yanfeng Sun Junbin Gao Xia Hong Bamdev Mishra Baocai Yin	4
+	Applications of tensor (multiway array) factorizations and decompositions in data mining	2011	Morten Mørup	3
+	Tensor Analyzers	2013	Yichuan Tang Ruslan Salakhutdinov Geoffrey E. Hinton	3
+ PDF Chat	Non-negative tensor factorization with applications to statistics and computer vision	2005	Amnon Shashua Tamir Hazan	3
+ PDF Chat	Implementation of evolutionary fuzzy systems	1999	Yuhui Shi R.C. Eberhart Yaobin Chen	3
+ PDF Chat	GA-fuzzy modeling and classification: complexity and performance	2000	M. Setnes Hans Roubos	3
+	Non-negative Tri-factor tensor decomposition with applications	2012	Zhongyuan Zhang Tao Li Chris Ding	3
+	A survey of multilinear subspace learning for tensor data	2011	Haiping Lu Konstantinos N. Plataniotis A.N. Venetsanopoulos	3
+ PDF Chat	A Multilinear Singular Value Decomposition	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	3
+	Cross-Validatory Choice and Assessment of Statistical Predictions	1974	M. Stone	3
+	On the Best Rank-1 and Rank-(<i>R</i><sub>1</sub> ,<i>R</i><sub>2</sub> ,. . .,<i>R<sub>N</sub></i>) Approximation of Higher-Order Tensors	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	3
+ PDF Chat	Sparse non-negative tensor factorization using columnwise coordinate descent	2011	Ji Liu Jun Liu Peter Wonka Jieping Ye	3
+ PDF Chat	Tensor space model for document analysis	2006	Deng Cai Xiaofei He Jiawei Han	3
+	Positive tensor factorization	2001	Max Welling Markus Weber	3
+ PDF Chat	Robust maximum likelihood training of heteroscedastic probabilistic neural networks	1998	Zheng Rong Yang Sheng Chen	3
+	Computing non-negative tensor factorizations	2008	Michael P. Friedlander Kathrin Hatz	3
+ PDF Chat	Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint	2013	Fei Wu Xu Tan Yi Yang Dacheng Tao Siliang Tang Yueting Zhuang	3
+	Towards a standardized notation and terminology in multiway analysis	2000	Henk A. L. Kiers	3
+	Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds	2014	Mehrtash Harandi Richard Hartley Chunhua Shen Brian C. Lovell Conrad Sanderson	3
+	Tensor clustering via adaptive subspace iteration	2011	Wei Peng Tao Li	2
+	Robust Bayesian mixture modelling	2005	Markus Svensén Chris Bishop	2
+ PDF Chat	A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography	2012	Oleg Kuybeda Gabriel A. Frank Alberto Bartesaghi Mario J. Borgnia Sriram Subramaniam Guillermo Sapiro	2
+ PDF Chat	Unsupervised Multiway Data Analysis: A Literature Survey	2008	Evrim Acar Bülent Yener	2
+	Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines	2002	Fei Sha Lawrence K. Saul Daniel D. Lee	2
+	Nonlinear Programming	1995	Dimitri P. Bertsekas	2
+	Dimensionality reduction assisted tensor clustering	2014	Yanfeng Sun Junbin Gao Xia Hong Yi Guo C.J. Harris	2
+	Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches	2007	Maurizio Vichi Roberto Rocci Henk A. L. Kiers	2
+ PDF Chat	Tensors in Image Processing and Computer Vision	2009	Santiago Aja‐Fernández Rodrigo Luis García Dacheng Tao Xuelong Li	2
+	CubeSVD	2005	Jian-Tao Sun Hua-Jun Zeng Huan Liu Yuchang Lu Zheng Chen	2
+	Sparse density estimation on multinomial manifold combining local component analysis	2015	Xia Hong Junbin Gao	2
+	Multilinear operators for higher-order decompositions.	2006	Tamara G. Kolda	2
+	NOTES ON BIAS IN ESTIMATION	1956	M. H. Quenouille	2
+ PDF Chat	Robust Bayesian clustering	2006	Cédric Archambeau Michel Verleysen	2
+	Nonnegative Tucker Decomposition	2007	Yong‐Deok Kim Seungjin Choi	2
+	Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation	2011	Zhouchen Lin Risheng Liu Zhixun Su	2
+	A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters	1973	J. C. Dunn	2
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	2
+	From a Gaussian mixture model to additive fuzzy systems	2005	Ming-Tao Gan M. Hanmandlu Ai Hui Tan	2