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Shizhong Liao
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2020 – today
- 2024
- [j23]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: 102087 (2024) - [c55]Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. AAAI 2024: 13782-13789 - [i5]Junfan Li, Shizhong Liao:
Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis. CoRR abs/2407.00916 (2024) - 2023
- [c54]Junfan Li, Shizhong Liao:
Improved Kernel Alignment Regret Bound for Online Kernel Learning. AAAI 2023: 8597-8604 - [c53]Junfan Li
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. ICML 2023: 19743-19766 - [i4]Junfan Li, Shizhong Liao:
Improved Regret Bounds for Online Kernel Selection under Bandit Feedback. CoRR abs/2303.05018 (2023) - [i3]Junfan Li, Shizhong Liao:
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. CoRR abs/2306.08320 (2023) - [i2]Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. CoRR abs/2312.07032 (2023) - 2022
- [j22]Junfan Li, Shizhong Liao
Worst-case regret analysis of computationally budgeted online kernel selection. Mach. Learn. 111(3): 937-976 (2022) - [c52]Junfan Li
Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback. ECML/PKDD (4) 2022: 333-348 - [i1]Junfan Li, Shizhong Liao:
Improved Kernel Alignment Regret Bound for Online Kernel Learning. CoRR abs/2212.12989 (2022) - 2021
- [j21]Yong Liu
Kernel Stability for Model Selection in Kernel-Based Algorithms. IEEE Trans. Cybern. 51(12): 5647-5658 (2021) - [c51]Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen:
Regret Bounds for Online Kernel Selection in Continuous Kernel Space. AAAI 2021: 10931-10938 - [c50]Shizhong Liao
High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection. ECML/PKDD (1) 2021: 67-83 - 2020
- [j20]Yong Liu
Fast Cross-Validation for Kernel-Based Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1083-1096 (2020) - [j19]Lizhong Ding
Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4881-4891 (2020) - [c49]Yunfei Yao, Junfan Li, Shizhong Liao:
A New Learning Algorithm with General Loss for Neural Networks with Random Weights. ICTAI 2020: 1-5 - [c48]Yifan Zhang, Shizhong Liao:
A Kernel Perspective for the Decision Boundary of Deep Neural Networks. ICTAI 2020: 653-660 - [c47]Xiao Zhang, Shizhong Liao:
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space. IJCAI 2020: 2498-2504
2010 – 2019
- 2019
- [j18]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): 57-63 (2019) - [j17]Xiao Zhang, Yun Liao, Shizhong Liao:
A survey on online kernel selection for online kernel learning. WIREs Data Mining Knowl. Discov. 9(2) (2019) - [c46]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: 3454-3461 - [c45]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: 3462-3469 - [c44]Shan Xu, Xiao Zhang, Shizhong Liao:
New Online Kernel Ridge Regression via Incremental Predictive Sampling. CIKM 2019: 791-800 - [c43]Shizhong Liao, Xiao Zhang:
Online Kernel Selection via Tensor Sketching. CIKM 2019: 801-810 - [c42]Xiao Zhang, Shizhong Liao:
Incremental Randomized Sketching for Online Kernel Learning. ICML 2019: 7394-7403 - [c41]Junfan Li, Shizhong Liao:
Online Kernel Selection via Grouped Adversarial Bandit Model. ICTAI 2019: 682-689 - [c40]Xiangyu Tian, Shizhong Liao:
Learning Sparse Support Vector Machine with Relaxation and Rounding. ICTAI 2019: 987-994 - 2018
- [j16]Jinglei Liu, Shizhong Liao:
CP-nets学习的复杂度 (Complexity of CP-nets Learning). 计算机科学 45(6): 211-215 (2018) - [c39]Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao:
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. AAAI 2018: 2910-2917 - [c38]Junfan Li, Shizhong Liao:
An Online Kernel Selection Wrapper via Multi-Armed Bandit Model. ICPR 2018: 1307-1312 - [c37]Shan Xu, Xiao Zhang, Shizhong Liao:
A Linear Incremental Nyström Method for Online Kernel Learning. ICPR 2018: 2256-2261 - [c36]Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao:
Fast Cross-Validation. IJCAI 2018: 2497-2503 - [c35]Xiao Zhang, Shizhong Liao:
Online Kernel Selection via Incremental Sketched Kernel Alignment. IJCAI 2018: 3118-3124 - [c34]Junfan Li, Shizhong Liao:
Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space. KSEM (2) 2018: 301-312 - [c33]Ming Gu, Shizhong Liao:
Improved Sublinear Primal-Dual Algorithm for Support Vector Machines. KSEM (2) 2018: 337-349 - 2017
- [j15]Jiangang Wu, Lizhong Ding, Shizhong Liao:
Predictive Nyström method for kernel methods. Neurocomputing 234: 116-125 (2017) - [j14]Yong Liu, Shizhong Liao:
Granularity selection for cross-validation of SVM. Inf. Sci. 378: 475-483 (2017) - [j13]Chang Feng, Shizhong Liao:
Scalable Gaussian Kernel Support Vector Machines with Sublinear Training Time Complexity. Inf. Sci. 418: 480-494 (2017) - [j12]Mei Wang, Shasha Wang, Yingqi Sun, Kaoping Song, Feng Tian, Shizhong Liao:
SVRRPMCC: 一种支持向量回归机的正则化路径近似算法 (SVRRPMCC: A Regularization Path Approximation Algorithm of Support Vector Regression). 计算机科学 44(12): 42-47 (2017) - [j11]Lizhong Ding, Shizhong Liao:
An Approximate Approach to Automatic Kernel Selection. IEEE Trans. Cybern. 47(3): 554-565 (2017) - [c32]Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang:
Generalization Analysis for Ranking Using Integral Operator. AAAI 2017: 2273-2279 - [c31]Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang:
Infinite Kernel Learning: Generalization Bounds and Algorithms. AAAI 2017: 2280-2286 - [c30]Zhizhuo Han, Shizhong Liao:
Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space. ICONIP (1) 2017: 33-42 - 2016
- [j10]Xiao Zhang, Shizhong Liao:
Tensor completion via multi-shared-modes canonical correlation analysis. Neurocomputing 205: 106-115 (2016) - 2015
- [j9]Yan Cui, Shizhong Liao, Hongwu Wang
ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image. Comput. Math. Methods Medicine 2015: 362806:1-362806:8 (2015) - [j8]Jinglei Liu, Shizhong Liao:
Expressive efficiency of two kinds of specific CP-nets. Inf. Sci. 295: 379-394 (2015) - [j7]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): 195-198 (2015) - [c29]Yong Liu, Shizhong Liao:
Eigenvalues Ratio for Kernel Selection of Kernel Methods. AAAI 2015: 2814-2820 - [c28]Jiangang Wu, Chang Feng, Peihuan Gao, Shizhong Liao:
Parallel Column Subset Selection of Kernel Matrix for Scaling up Support Vector Machines. ICA3PP (3) 2015: 226-239 - [c27]Chang Feng, Qinghua Hu, Shizhong Liao:
Random Feature Mapping with Signed Circulant Matrix Projection. IJCAI 2015: 3490-3496 - [c26]Jiangang Wu, Shizhong Liao:
Accuracy-Preserving and Scalable Column-Based Low-Rank Matrix Approximation. KSEM 2015: 236-247 - [c25]Chuan Liu, Shizhong Liao:
Boosting via Approaching Optimal Margin Distribution. PAKDD (1) 2015: 684-695 - 2014
- [j6]Yong Liu, Shizhong Liao:
Kernel selection with spectral perturbation stability of kernel matrix. Sci. China Inf. Sci. 57(11): 1-10 (2014) - [j5]Yan Cui, Huaien Bu, Hongwu Wang
MACT: A Manageable Minimization Allocation System. Comput. Math. Methods Medicine 2014: 645064:1-645064:8 (2014) - [j4]Shizhong Liao, Chang Feng:
Meta-ELM: ELM with ELM hidden nodes. Neurocomputing 128: 81-87 (2014) - [j3]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: 114-125 (2014) - [c24]Lizhong Ding, Shizhong Liao:
Model Selection with the Covering Number of the Ball of RKHS. CIKM 2014: 1159-1168 - [c23]Yong Liu, Shali Jiang, Shizhong Liao:
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function. ICML 2014: 324-332 - [c22]Bo Dong, Peihuan Gao, Hongwu Wang, Shizhong Liao:
Clustering Human Wrist Pulse Signals via Multiple Criteria Decision Making. ICTAI 2014: 243-250 - [c21]Yong Liu, Shizhong Liao:
Preventing Over-Fitting of Cross-Validation with Kernel Stability. ECML/PKDD (2) 2014: 290-305 - [c20]Lizhong Ding, Shizhong Liao:
Approximate Consistency: Towards Foundations of Approximate Kernel Selection. ECML/PKDD (1) 2014: 354-369 - 2013
- [c19]Yong Liu, Shali Jiang, Shizhong Liao:
Eigenvalues perturbation of integral operator for kernel selection. CIKM 2013: 2189-2198 - [c18]Chang Feng, Shali Jiang, Hongwu Wang, Shizhong Liao:
Health identification of traditional Chinese medicine with tongue images. ICMLC 2013: 398-399 - 2012
- [j2]Chenhao Yang, Lizhong Ding, Shizhong Liao:
Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine. J. Comput. 7(8): 2047-2054 (2012) - [c17]Shizhong Liao, Menghua Duan:
Sketch recognition via string kernel. ICNC 2012: 101-105 - [c16]Yong Liu, Shizhong Liao:
An Explicit Description of the Extended Gaussian Kernel. PAKDD Workshops 2012: 88-99 - [c15]Lizhong Ding, Shizhong Liao:
Nyström Approximate Model Selection for LSSVM. PAKDD (1) 2012: 282-293 - [c14]Mei Wang, Shizhong Liao:
Model Combination for Support Vector Regression via Regularization Path. PRICAI 2012: 649-660 - 2011
- [c13]Yong Liu, Shizhong Liao, Yuexian Hou:
Learning kernels with upper bounds of leave-one-out error. CIKM 2011: 2205-2208 - [c12]Yong Liu, Shizhong Liao:
An Error Bound for Eigenvalues of Graph Laplacian with Bounded Kernel Function. CIS 2011: 436-440 - [c11]Lizhong Ding, Shizhong Liao:
Approximate Model Selection for Large Scale LSSVM. ACML 2011: 165-180 - 2010
- [j1]Lei Jia, Shizhong Liao, Li-Zhong Ding:
Learning with Uncertain Kernel Matrix Set. J. Comput. Sci. Technol. 25(4): 709-727 (2010)
2000 – 2009
- 2009
- [c10]Lei Jia, Shizhong Liao:
Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix. ACML 2009: 162-175 - [c9]Yarui Chen, Shizhong Liao:
Message family propagation for ising mean field based on iteration tree. CIKM 2009: 345-354 - [c8]Jing Guo, Shizhong Liao:
A Complete Label Set for 3D-sketch Labeling. FSKD (5) 2009: 292-296 - [c7]Xiaodong Wang, Shizhong Liao:
Qualitative Motion Reasoning Based on Voronoi Diagram. ICNC (6) 2009: 414-418 - [c6]Mei Wang, Shizhong Liao:
Group Structure Influence on Group Lasso Consistency. ICNC (6) 2009: 493-497 - 2008
- [c5]Yarui Chen, Shizhong Liao:
Coupling and Accuracy of Gaussian Mean Fields. FSKD (2) 2008: 24-28 - [c4]Lei Jia, Shizhong Liao:
Hyperkernel Construction for Support Vector Machines. ICNC (2) 2008: 76-80 - [c3]Yarui Chen, Shizhong Liao:
Cluster Selection Based on Coupling for Gaussian Mean Fields. ISNN (1) 2008: 432-441 - [c2]Lei Jia, Shizhong Liao:
A Generic Diffusion Kernel for Semi-supervised Learning. ISNN (1) 2008: 723-732 - 2007
- [c1]Shizhong Liao, Lei Jia:
Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines. PAKDD 2007: 162-172
Coauthor Index
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