Shizhong Liao

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 45

Top Topics

Kernel Learning

Model Selection

Top Venues

Publications

Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. AAAI (2024)
Yun Liao, Yong Liu, Shizhong Liao, Qinghua Hu, Jianwu Dang
Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view. Inf. Fusion 103 (2024)
Junfan Li, Shizhong Liao
Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis. CoRR (2024)
Junfan Li, Shizhong Liao
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. CoRR (2023)
Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. CoRR (2023)
Junfan Li, Shizhong Liao
Improved Regret Bounds for Online Kernel Selection under Bandit Feedback. CoRR (2023)
Junfan Li, Shizhong Liao
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. ICML (2023)
Junfan Li, Shizhong Liao
Improved Kernel Alignment Regret Bound for Online Kernel Learning. AAAI (2023)
Junfan Li, Shizhong Liao
Worst-case regret analysis of computationally budgeted online kernel selection. Mach. Learn. 111 (3) (2022)
Junfan Li, Shizhong Liao
Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback. ECML/PKDD (4) (2022)
Junfan Li, Shizhong Liao
Improved Kernel Alignment Regret Bound for Online Kernel Learning. CoRR (2022)
Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen
Regret Bounds for Online Kernel Selection in Continuous Kernel Space. AAAI (2021)
Shizhong Liao, Junfan Li
High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection. ECML/PKDD (1) (2021)
Yong Liu, Shizhong Liao, Hua Zhang, Wenqi Ren, Weiping Wang
Kernel Stability for Model Selection in Kernel-Based Algorithms. IEEE Trans. Cybern. 51 (12) (2021)
Yunfei Yao, Junfan Li, Shizhong Liao
A New Learning Algorithm with General Loss for Neural Networks with Random Weights. ICTAI (2020)
Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang
Fast Cross-Validation for Kernel-Based Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Yifan Zhang, Shizhong Liao
A Kernel Perspective for the Decision Boundary of Deep Neural Networks. ICTAI (2020)
Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao
Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Xiao Zhang, Shizhong Liao
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space. IJCAI (2020)
Xiangyu Tian, Shizhong Liao
Learning Sparse Support Vector Machine with Relaxation and Rounding. ICTAI (2019)
Xiao Zhang, Shizhong Liao
Incremental Randomized Sketching for Online Kernel Learning. ICML (2019)
Shizhong Liao, Xiao Zhang
Online Kernel Selection via Tensor Sketching. CIKM (2019)
Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. AAAI (2019)
Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao
Approximate Kernel Selection with Strong Approximate Consistency. AAAI (2019)
Junfan Li, Shizhong Liao
Online Kernel Selection via Grouped Adversarial Bandit Model. ICTAI (2019)
Junfan Li, Shizhong Liao
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). 计算机科学 46 (1) (2019)
Xiao Zhang, Yun Liao, Shizhong Liao
A survey on online kernel selection for online kernel learning. WIREs Data Mining Knowl. Discov. 9 (2) (2019)
Shan Xu, Xiao Zhang, Shizhong Liao
New Online Kernel Ridge Regression via Incremental Predictive Sampling. CIKM (2019)
Ming Gu, Shizhong Liao
Improved Sublinear Primal-Dual Algorithm for Support Vector Machines. KSEM (2) (2018)
Shan Xu, Xiao Zhang, Shizhong Liao
A Linear Incremental Nyström Method for Online Kernel Learning. ICPR (2018)
Jinglei Liu, Shizhong Liao
CP-nets学习的复杂度 (Complexity of CP-nets Learning). 计算机科学 45 (6) (2018)
Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao
Fast Cross-Validation. IJCAI (2018)
Xiao Zhang, Shizhong Liao
Online Kernel Selection via Incremental Sketched Kernel Alignment. IJCAI (2018)
Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. AAAI (2018)
Junfan Li, Shizhong Liao
An Online Kernel Selection Wrapper via Multi-Armed Bandit Model. ICPR (2018)
Junfan Li, Shizhong Liao
Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space. KSEM (2) (2018)
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang
Infinite Kernel Learning: Generalization Bounds and Algorithms. AAAI (2017)
Jiangang Wu, Lizhong Ding, Shizhong Liao
Predictive Nyström method for kernel methods. Neurocomputing 234 (2017)
Mei Wang, Shasha Wang, Yingqi Sun, Kaoping Song, Feng Tian, Shizhong Liao
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). 计算机科学 44 (12) (2017)
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang
Generalization Analysis for Ranking Using Integral Operator. AAAI (2017)
Lizhong Ding, Shizhong Liao
An Approximate Approach to Automatic Kernel Selection. IEEE Trans. Cybern. 47 (3) (2017)
Chang Feng, Shizhong Liao
Scalable Gaussian Kernel Support Vector Machines with Sublinear Training Time Complexity. Inf. Sci. 418 (2017)
Yong Liu, Shizhong Liao
Granularity selection for cross-validation of SVM. Inf. Sci. 378 (2017)
Zhizhuo Han, Shizhong Liao
Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space. ICONIP (1) (2017)
Xiao Zhang, Shizhong Liao
Tensor completion via multi-shared-modes canonical correlation analysis. Neurocomputing 205 (2016)
Chuan Liu, Shizhong Liao
Boosting via Approaching Optimal Margin Distribution. PAKDD (1) (2015)
Yan Cui, Shizhong Liao, Hongwu Wang
ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image. Comput. Math. Methods Medicine 2015 (2015)
Yong Liu, Shizhong Liao
Eigenvalues Ratio for Kernel Selection of Kernel Methods. AAAI (2015)
Jiangang Wu, Shizhong Liao
Accuracy-Preserving and Scalable Column-Based Low-Rank Matrix Approximation. KSEM (2015)
Jinglei Liu, Shizhong Liao
Expressive efficiency of two kinds of specific CP-nets. Inf. Sci. 295 (2015)
Jiangang Wu, Chang Feng, Peihuan Gao, Shizhong Liao
Parallel Column Subset Selection of Kernel Matrix for Scaling up Support Vector Machines. ICA3PP (3) (2015)
Chang Feng, Zida Li, Shizhong Liao
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). 计算机科学 42 (9) (2015)
Chang Feng, Qinghua Hu, Shizhong Liao
Random Feature Mapping with Signed Circulant Matrix Projection. IJCAI (2015)
Lizhong Ding, Shizhong Liao
Approximate Consistency: Towards Foundations of Approximate Kernel Selection. ECML/PKDD (1) (2014)
Yan Cui, Huaien Bu, Hongwu Wang, Shizhong Liao
MACT: A Manageable Minimization Allocation System. Comput. Math. Methods Medicine 2014 (2014)
Lizhong Ding, Shizhong Liao
Model Selection with the Covering Number of the Ball of RKHS. CIKM (2014)
Yali Lv, Shizhong Liao, Hongbo Shi, Yuhua Qian, Suqin Ji
QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity. Knowl. Based Syst. 71 (2014)
Yong Liu, Shizhong Liao
Preventing Over-Fitting of Cross-Validation with Kernel Stability. ECML/PKDD (2) (2014)
Yong Liu, Shizhong Liao
Kernel selection with spectral perturbation stability of kernel matrix. Sci. China Inf. Sci. 57 (11) (2014)
Bo Dong, Peihuan Gao, Hongwu Wang, Shizhong Liao
Clustering Human Wrist Pulse Signals via Multiple Criteria Decision Making. ICTAI (2014)
Yong Liu, Shali Jiang, Shizhong Liao
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function. ICML (2014)
Shizhong Liao, Chang Feng
Meta-ELM: ELM with ELM hidden nodes. Neurocomputing 128 (2014)
Chang Feng, Shali Jiang, Hongwu Wang, Shizhong Liao
Health identification of traditional Chinese medicine with tongue images. ICMLC (2013)
Yong Liu, Shali Jiang, Shizhong Liao
Eigenvalues perturbation of integral operator for kernel selection. CIKM (2013)
Lizhong Ding, Shizhong Liao
Nyström Approximate Model Selection for LSSVM. PAKDD (1) (2012)
Shizhong Liao, Menghua Duan
Sketch recognition via string kernel. ICNC (2012)
Yong Liu, Shizhong Liao
An Explicit Description of the Extended Gaussian Kernel. PAKDD Workshops (2012)
Chenhao Yang, Lizhong Ding, Shizhong Liao
Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine. J. Comput. 7 (8) (2012)
Mei Wang, Shizhong Liao
Model Combination for Support Vector Regression via Regularization Path. PRICAI (2012)
Yong Liu, Shizhong Liao
An Error Bound for Eigenvalues of Graph Laplacian with Bounded Kernel Function. CIS (2011)
Yong Liu, Shizhong Liao, Yuexian Hou
Learning kernels with upper bounds of leave-one-out error. CIKM (2011)
Lizhong Ding, Shizhong Liao
Approximate Model Selection for Large Scale LSSVM. ACML (2011)
Lei Jia, Shizhong Liao, Li-Zhong Ding
Learning with Uncertain Kernel Matrix Set. J. Comput. Sci. Technol. 25 (4) (2010)
Xiaodong Wang, Shizhong Liao
Qualitative Motion Reasoning Based on Voronoi Diagram. ICNC (6) (2009)
Mei Wang, Shizhong Liao
Group Structure Influence on Group Lasso Consistency. ICNC (6) (2009)
Yarui Chen, Shizhong Liao
Message family propagation for ising mean field based on iteration tree. CIKM (2009)
Lei Jia, Shizhong Liao
Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix. ACML (2009)
Jing Guo, Shizhong Liao
A Complete Label Set for 3D-sketch Labeling. FSKD (5) (2009)
Lei Jia, Shizhong Liao
A Generic Diffusion Kernel for Semi-supervised Learning. ISNN (1) (2008)
Yarui Chen, Shizhong Liao
Coupling and Accuracy of Gaussian Mean Fields. FSKD (2) (2008)
Yarui Chen, Shizhong Liao
Cluster Selection Based on Coupling for Gaussian Mean Fields. ISNN (1) (2008)
Lei Jia, Shizhong Liao
Hyperkernel Construction for Support Vector Machines. ICNC (2) (2008)
Shizhong Liao, Lei Jia
Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines. PAKDD (2007)