Shizhong Liao

According to our database, Shizhong Liao authored at least 79 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view.

Yun Liao, Yong Liu, Shizhong Liao, Qinghua Hu, Jianwu Dang

Inf. Fusion, March, 2024

Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis.

Junfan Li, Shizhong Liao

CoRR, 2024

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound.

Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression.

Junfan Li, Shizhong Liao

Proceedings of the International Conference on Machine Learning, 2023

Improved Kernel Alignment Regret Bound for Online Kernel Learning.

Junfan Li, Shizhong Liao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Worst-case regret analysis of computationally budgeted online kernel selection.

Junfan Li, Shizhong Liao

Mach. Learn., 2022

Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback.

Junfan Li, Shizhong Liao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Kernel Stability for Model Selection in Kernel-Based Algorithms.

Yong Liu, Shizhong Liao, Hua Zhang, Wenqi Ren, Weiping Wang

IEEE Trans. Cybern., 2021

High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection.

Shizhong Liao, Junfan Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Regret Bounds for Online Kernel Selection in Continuous Kernel Space.

Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Approximate Kernel Selection via Matrix Approximation.

Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao

IEEE Trans. Neural Networks Learn. Syst., 2020

Fast Cross-Validation for Kernel-Based Algorithms.

Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space.

Xiao Zhang, Shizhong Liao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Kernel Perspective for the Decision Boundary of Deep Neural Networks.

Yifan Zhang, Shizhong Liao

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

A New Learning Algorithm with General Loss for Neural Networks with Random Weights.

Yunfei Yao, Junfan Li, Shizhong Liao

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

A survey on online kernel selection for online kernel learning.

Xiao Zhang, Yun Liao, Shizhong Liao

WIREs Data Mining Knowl. Discov., 2019

在线核选择的对抗式多臂赌博机模型 (Adversarial Multi-armed Bandit Model with Online Kernel Selection).

Junfan Li, Shizhong Liao

计算机科学, 2019

Learning Sparse Support Vector Machine with Relaxation and Rounding.

Xiangyu Tian, Shizhong Liao

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Online Kernel Selection via Grouped Adversarial Bandit Model.

Junfan Li, Shizhong Liao

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Incremental Randomized Sketching for Online Kernel Learning.

Xiao Zhang, Shizhong Liao

Proceedings of the 36th International Conference on Machine Learning, 2019

New Online Kernel Ridge Regression via Incremental Predictive Sampling.

Shan Xu, Xiao Zhang, Shizhong Liao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Online Kernel Selection via Tensor Sketching.

Shizhong Liao, Xiao Zhang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Approximate Kernel Selection with Strong Approximate Consistency.

Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data.

Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

CP-nets学习的复杂度 (Complexity of CP-nets Learning).

Jinglei Liu, Shizhong Liao

计算机科学, 2018

Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space.

Junfan Li, Shizhong Liao

Proceedings of the Knowledge Science, Engineering and Management, 2018

Improved Sublinear Primal-Dual Algorithm for Support Vector Machines.

Ming Gu, Shizhong Liao

Proceedings of the Knowledge Science, Engineering and Management, 2018

Online Kernel Selection via Incremental Sketched Kernel Alignment.

Xiao Zhang, Shizhong Liao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Fast Cross-Validation.

Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Linear Incremental Nyström Method for Online Kernel Learning.

Shan Xu, Xiao Zhang, Shizhong Liao

Proceedings of the 24th International Conference on Pattern Recognition, 2018

An Online Kernel Selection Wrapper via Multi-Armed Bandit Model.

Junfan Li, Shizhong Liao

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices.

Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An Approximate Approach to Automatic Kernel Selection.

Lizhong Ding, Shizhong Liao

IEEE Trans. Cybern., 2017

SVRRPMCC: 一种支持向量回归机的正则化路径近似算法 (SVRRPMCC: A Regularization Path Approximation Algorithm of Support Vector Regression).

Mei Wang, Shasha Wang, Yingqi Sun, Kaoping Song, Feng Tian, Shizhong Liao

计算机科学, 2017

Granularity selection for cross-validation of SVM.

Yong Liu, Shizhong Liao

Inf. Sci., 2017

Scalable Gaussian Kernel Support Vector Machines with Sublinear Training Time Complexity.

Chang Feng, Shizhong Liao

Inf. Sci., 2017

Predictive Nyström method for kernel methods.

Jiangang Wu, Lizhong Ding, Shizhong Liao

Neurocomputing, 2017

Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space.

Zhizhuo Han, Shizhong Liao

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Infinite Kernel Learning: Generalization Bounds and Algorithms.

Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Generalization Analysis for Ranking Using Integral Operator.

Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Tensor completion via multi-shared-modes canonical correlation analysis.

Xiao Zhang, Shizhong Liao

Neurocomputing, 2016

2015

一种大规模支持向量机的高效求解算法 (Efficient Algorithm for Large-scale Support Vector Machine).

Chang Feng, Zida Li, Shizhong Liao

计算机科学, 2015

Expressive efficiency of two kinds of specific CP-nets.

Jinglei Liu, Shizhong Liao

Inf. Sci., 2015

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

Yan Cui, Shizhong Liao, Hongwu Wang

Comput. Math. Methods Medicine, 2015

Boosting via Approaching Optimal Margin Distribution.

Chuan Liu, Shizhong Liao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

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

Jiangang Wu, Shizhong Liao

Proceedings of the Knowledge Science, Engineering and Management, 2015

Random Feature Mapping with Signed Circulant Matrix Projection.

Chang Feng, Qinghua Hu, Shizhong Liao

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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

Jiangang Wu, Chang Feng, Peihuan Gao, Shizhong Liao

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Eigenvalues Ratio for Kernel Selection of Kernel Methods.

Yong Liu, Shizhong Liao

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

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

Yali Lv, Shizhong Liao, Hongbo Shi, Yuhua Qian, Suqin Ji

Knowl. Based Syst., 2014

Meta-ELM: ELM with ELM hidden nodes.

Shizhong Liao, Chang Feng

Neurocomputing, 2014

MACT: A Manageable Minimization Allocation System.

Yan Cui, Huaien Bu, Hongwu Wang, Shizhong Liao

Comput. Math. Methods Medicine, 2014

Kernel selection with spectral perturbation stability of kernel matrix.

Yong Liu, Shizhong Liao

Sci. China Inf. Sci., 2014

Preventing Over-Fitting of Cross-Validation with Kernel Stability.

Yong Liu, Shizhong Liao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Approximate Consistency: Towards Foundations of Approximate Kernel Selection.

Lizhong Ding, Shizhong Liao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Clustering Human Wrist Pulse Signals via Multiple Criteria Decision Making.

Bo Dong, Peihuan Gao, Hongwu Wang, Shizhong Liao

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

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

Yong Liu, Shali Jiang, Shizhong Liao

Proceedings of the 31th International Conference on Machine Learning, 2014

Model Selection with the Covering Number of the Ball of RKHS.

Lizhong Ding, Shizhong Liao

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Health identification of traditional Chinese medicine with tongue images.

Chang Feng, Shali Jiang, Hongwu Wang, Shizhong Liao

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Eigenvalues perturbation of integral operator for kernel selection.

Yong Liu, Shali Jiang, Shizhong Liao

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine.

Chenhao Yang, Lizhong Ding, Shizhong Liao

J. Comput., 2012

Model Combination for Support Vector Regression via Regularization Path.

Mei Wang, Shizhong Liao

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

An Explicit Description of the Extended Gaussian Kernel.

Yong Liu, Shizhong Liao

Proceedings of the Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29, 2012

Nyström Approximate Model Selection for LSSVM.

Lizhong Ding, Shizhong Liao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Sketch recognition via string kernel.

Shizhong Liao, Menghua Duan

Proceedings of the Eighth International Conference on Natural Computation, 2012

2011

Approximate Model Selection for Large Scale LSSVM.

Lizhong Ding, Shizhong Liao

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

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

Yong Liu, Shizhong Liao

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

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

Yong Liu, Shizhong Liao, Yuexian Hou

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Learning with Uncertain Kernel Matrix Set.

Lei Jia, Shizhong Liao, Li-Zhong Ding

J. Comput. Sci. Technol., 2010

2009

Group Structure Influence on Group Lasso Consistency.

Mei Wang, Shizhong Liao

Proceedings of the Fifth International Conference on Natural Computation, 2009

Qualitative Motion Reasoning Based on Voronoi Diagram.

Xiaodong Wang, Shizhong Liao

Proceedings of the Fifth International Conference on Natural Computation, 2009

A Complete Label Set for 3D-sketch Labeling.

Jing Guo, Shizhong Liao

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Message family propagation for ising mean field based on iteration tree.

Yarui Chen, Shizhong Liao

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix.

Lei Jia, Shizhong Liao

Proceedings of the Advances in Machine Learning, 2009

2008

A Generic Diffusion Kernel for Semi-supervised Learning.

Lei Jia, Shizhong Liao

Proceedings of the Advances in Neural Networks, 2008

Cluster Selection Based on Coupling for Gaussian Mean Fields.

Yarui Chen, Shizhong Liao

Proceedings of the Advances in Neural Networks, 2008

Hyperkernel Construction for Support Vector Machines.

Lei Jia, Shizhong Liao

Proceedings of the Fourth International Conference on Natural Computation, 2008

Coupling and Accuracy of Gaussian Mean Fields.

Yarui Chen, Shizhong Liao

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007

Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines.

Shizhong Liao, Lei Jia

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007