Shizhong Liao

发表

An Online Kernel Selection Wrapper via Multi-Armed Bandit Model

Junfan Li, Shizhong Liao, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity

Yuhua Qian, Hongbo Shi, Shizhong Liao, 2014, Knowl. Based Syst..

Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines

Lei Jia, Shizhong Liao, 2007, PAKDD.

Sketch recognition via string kernel

Shizhong Liao, Menghua Duan, 2012, 2012 8th International Conference on Natural Computation.

Health identification of traditional Chinese medicine with tongue images

Hongwu Wang, Chang Feng, Shizhong Liao, 2013, 2013 International Conference on Machine Learning and Cybernetics.

Clustering Human Wrist Pulse Signals via Multiple Criteria Decision Making

Bo Dong, Hongwu Wang, Shizhong Liao, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

Approximate Parameter Tuning of Support Vector Machines

Shizhong Liao, Lizhong Ding, Chenhao Yang, 2011, 2011 3rd International Workshop on Intelligent Systems and Applications.

Probabilistic Model Combination for Support Vector Machine Using Positive-Definite Kernel-Based Regularization Path

Shizhong Liao, Ning Zhao, Zhihui Zhao, 2011 .

Model Combination for Support Vector Regression via Regularization Path

Mei Wang, Shizhong Liao, Shizhong Liao, 2012, PRICAI.

Model Selection with the Covering Number of the Ball of RKHS

Shizhong Liao, Li-Zhong Ding, 2014, CIKM.

Incremental Randomized Sketching for Online Kernel Learning

Shizhong Liao, Xiao Zhang, 2019, ICML.

Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices

Yong Liu, Peng Yang, Xin Gao, 2018, AAAI.

Online Kernel Selection via Tensor Sketching

Xiao Zhang, Shizhong Liao, Shizhong Liao, 2019, CIKM.

Group Structure Influence on Group Lasso Consistency

Mei Wang, Shizhong Liao, Shizhong Liao, 2009, 2009 Fifth International Conference on Natural Computation.

MACT: A Manageable Minimization Allocation System

Yan Cui, Hongwu Wang, Shizhong Liao, 2014, Comput. Math. Methods Medicine.

Scalable Gaussian Kernel Support Vector Machines with Sublinear Training Time Complexity

Chang Feng, Shizhong Liao, Shizhong Liao, 2017, Inf. Sci..

New Online Kernel Ridge Regression via Incremental Predictive Sampling

Xiao Zhang, Shizhong Liao, Shan Xu, 2019, CIKM.

Generalization Analysis for Ranking Using Integral Operator

Yong Liu, Weiping Wang, Yinliang Yue, 2017, AAAI.

Integration of Multiple Temporal Qualitative Probabilistic Networks in Time Series Environments

Shizhong Liao, Yali Lv, Shizhong Liao, 2010 .

An Approximate Approach to Automatic Kernel Selection

Shizhong Liao, Li-Zhong Ding, Li-Zhong Ding, 2017, IEEE Transactions on Cybernetics.

Kernel selection with spectral perturbation stability of kernel matrix

Shizhong Liao, Yong Liu, Yong Liu, 2014, Science China Information Sciences.

Learning with Uncertain Kernel Matrix Set

Lei Jia, Shizhong Liao, Li-Zhong Ding, 2010, Journal of Computer Science and Technology.

Tensor completion via multi-shared-modes canonical correlation analysis

Xiao Zhang, Shizhong Liao, Shizhong Liao, 2016, Neurocomputing.

A Generic Diffusion Kernel for Semi-supervised Learning

Lei Jia, Shizhong Liao, Shizhong Liao, 2008, ISNN.

Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function

Yong Liu, Shizhong Liao, Shali Jiang, 2014, ICML.

Approximate Kernel Selection with Strong Approximate Consistency

Ling Shao, Yong Liu, Peng Yang, 2019, AAAI.

Fast Cross-Validation

Weiping Wang, Shizhong Liao, Yong Liu, 2018, IJCAI.

Message family propagation for ising mean field based on iteration tree

Shizhong Liao, Yarui Chen, 2009, CIKM.

Nyström Approximate Model Selection for LSSVM

Shizhong Liao, Li-Zhong Ding, Li-Zhong Ding, 2012, PAKDD.

Approximate Model Selection for Large Scale LSSVM

Shizhong Liao, Li-Zhong Ding, Li-Zhong Ding, 2011, ACML.

Boosting via Approaching Optimal Margin Distribution

Chuan Liu, Shizhong Liao, 2015, PAKDD.

PQPN: A New Qualitative Abstraction of Bayesian Network

Shizhong Liao, Yuesong He, 2011, 2011 3rd International Workshop on Intelligent Systems and Applications.

Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix

Lei Jia, Shizhong Liao, Shizhong Liao, 2009, ACML.

Learning Temporal Qualitative Probabilistic Networks from Data

Shizhong Liao, Yali Lv, 2009, 2009 Second International Conference on Intelligent Networks and Intelligent Systems.

Improved Sublinear Primal-Dual Algorithm for Support Vector Machines

Ming Gu, Shizhong Liao, M. Gu, 2018, KSEM.

Approximate Consistency: Towards Foundations of Approximate Kernel Selection

Shizhong Liao, Li-Zhong Ding, Li-Zhong Ding, 2014, ECML/PKDD.

Qualitative Motion Reasoning Based on Voronoi Diagram

Xiaodong Wang, Shizhong Liao, Shizhong Liao, 2009, 2009 Fifth International Conference on Natural Computation.

Infinite Kernel Learning: Generalization Bounds and Algorithms

Yong Liu, Weiping Wang, Yinliang Yue, 2017, AAAI.

Hyperkernel Construction for Support Vector Machines

Lei Jia, Shizhong Liao, 2008, 2008 Fourth International Conference on Natural Computation.

Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space

Xiao Zhang, Shizhong Liao, Shizhong Liao, 2020, IJCAI.

Eigenvalues perturbation of integral operator for kernel selection

Yong Liu, Shizhong Liao, Shali Jiang, 2013, CIKM.

A survey on online kernel selection for online kernel learning

Yun Liao, Xiao Zhang, Shizhong Liao, 2018, WIREs Data Mining Knowl. Discov..

Reasoning for Qualitative Path Without Initial Position in VAR-Space

Xiaodong Wang, Shizhong Liao, Ming Li, 2017 .

Cluster Selection Based on Coupling for Gaussian Mean Fields

Shizhong Liao, Yarui Chen, 2008, ISNN.

Preventing Over-Fitting of Cross-Validation with Kernel Stability

Yong Liu, Shizhong Liao, Yong Liu, 2014, ECML/PKDD.

ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image

Yan Cui, Hongwu Wang, Shizhong Liao, 2015, Comput. Math. Methods Medicine.

Online Kernel Selection via Incremental Sketched Kernel Alignment

Xiao Zhang, Shizhong Liao, Shizhong Liao, 2018, IJCAI.

Expressive efficiency of two kinds of specific CP-nets

Shizhong Liao, Jinglei Liu, 2015, Inf. Sci..

An Error Bound for Eigenvalues of Graph Laplacian with Bounded Kernel Function

Yong Liu, Shizhong Liao, Yong Liu, 2011, 2011 Seventh International Conference on Computational Intelligence and Security.

Granularity selection for cross-validation of SVM

Yong Liu, Shizhong Liao, Yong Liu, 2017, Inf. Sci..

Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space

Shizhong Liao, Zhizhuo Han, 2017, ICONIP.

Kernel Stability for Model Selection in Kernel-Based Algorithms

Weiping Wang, Shizhong Liao, Wenqi Ren, 2021, IEEE Transactions on Cybernetics.

Learning kernels with upper bounds of leave-one-out error

Yong Liu, Shizhong Liao, Yuexian Hou, 2011, CIKM '11.

A Complete Label Set for 3D-sketch Labeling

Jing Guo, Shizhong Liao, 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

Fast Cross-Validation for Kernel-Based Algorithms

Yong Liu, Shizhong Liao, Lizhong Ding, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Explicit Description of the Extended Gaussian Kernel

Yong Liu, Shizhong Liao, Yong Liu, 2012, PAKDD Workshops.

Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data

Ling Shao, Ge Yu, Yu Li, 2019, AAAI.

Random Feature Mapping with Signed Circulant Matrix Projection

Qinghua Hu, Chang Feng, Shizhong Liao, 2015, IJCAI.

Coupling and Accuracy of Gaussian Mean Fields

Shizhong Liao, Yarui Chen, Shizhong Liao, 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

Approximate Kernel Selection via Matrix Approximation

Ling Shao, Li Liu, Yong Liu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine

Shizhong Liao, Chenhao Yang, Li-Zhong Ding, 2012, J. Comput..

A Linear Incremental Nyström Method for Online Kernel Learning

Xiao Zhang, Shan Xu, Shizhong Liao, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Parallel Column Subset Selection of Kernel Matrix for Scaling up Support Vector Machines

Chang Feng, Shizhong Liao, Peihuan Gao, 2015, ICA3PP.

Learning with uncertain kernel matrix set

Shizhong Liao, Lizhong Ding, Lei Jia, 2010 .

Meta-ELM: ELM with ELM hidden nodes

Chang Feng, Shizhong Liao, Shizhong Liao, 2014, Neurocomputing.

Eigenvalues Ratio for Kernel Selection of Kernel Methods

Yong Liu, Shizhong Liao, 2015, AAAI.

Multi-tensor completion with shared factors from multiple\\ sources

Shizhong Liao, Qinghua Hu, Xiao Zhang, 2016 .

Kernel Construction via Generalized Eigenvector Decomposition

Yong Liu, Shizhong Liao, 2011 .

Predictive Nyström method for kernel methods

Shizhong Liao, Li-Zhong Ding, Jiangang Wu, 2017, Neurocomputing.

Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space

Junfan Li, Shizhong Liao, 2018, KSEM.

Accuracy-Preserving and Scalable Column-Based Low-Rank Matrix Approximation

Shizhong Liao, Jiangang Wu, 2015, KSEM.

High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection

Junfan Li, Shizhong Liao, Shizhong Liao, 2021, ECML/PKDD.

Regret Bounds for Online Kernel Selection in Continuous Kernel Space

Ji-Rong Wen, Shizhong Liao, Jun Xu, 2021, AAAI.

Estimation Consistency of Group Lasso with Special Diagonal Matrix

Shizhong Liao, Shizhong Liao, Mei Wang, 2009, 2009 Second International Conference on Intelligent Networks and Intelligent Systems.

Relationship between Hyperuricemia and Haar-Like Features on Tongue Images

Shizhong Liao, Hongwu Wang, Liqun Yin, 2015, BioMed research international.

Integration of Multiple Qualitative Probabilistic Networks based on probabilistic rough sets

Shizhong Liao, Yali Lv, Shizhong Liao, 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

PDTSSE : A Scalable Parallel Decision Tree Algorithm Based on MapReduce

Shizhong Liao, Shizhong Liao, Yan Cui, 2013 .