Shizhong Liao - RankMe

86 papers A* 17A 6B 9C 4Misc 2Journal 29Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions. COLT Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie
2025	J	`jnl`	A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions. CoRR Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie
2025	—	`conf`	Ensemble Classifier of Noisy Data Streams via Integration of Filter and Correction. ICIC (12) Yun Liao, Haoyu Wang, Jiangang Wu, Shizhong Liao, Yarui Chen
2024	A*	`conf`	Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. AAAI Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang
2024	J	`jnl`	Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis. CoRR Junfan Li, Shizhong Liao
2024	J	`jnl`	Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view. Inf. Fusion Yun Liao, Yong Liu, Shizhong Liao, Qinghua Hu, Jianwu Dang
2023	J	`jnl`	Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. CoRR Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang
2023	A*	`conf`	Improved Kernel Alignment Regret Bound for Online Kernel Learning. AAAI Junfan Li, Shizhong Liao
2023	J	`jnl`	Improved Regret Bounds for Online Kernel Selection under Bandit Feedback. CoRR Junfan Li, Shizhong Liao
2023	A*	`conf`	Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. ICML Junfan Li, Shizhong Liao
2023	J	`jnl`	Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. CoRR Junfan Li, Shizhong Liao
2022	J	`jnl`	Improved Kernel Alignment Regret Bound for Online Kernel Learning. CoRR Junfan Li, Shizhong Liao
2022	—	`conf`	Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback. ECML/PKDD (4) Junfan Li, Shizhong Liao
2022	J	`jnl`	Worst-case regret analysis of computationally budgeted online kernel selection. Mach. Learn. Junfan Li, Shizhong Liao
2021	—	`conf`	High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection. ECML/PKDD (1) Shizhong Liao, Junfan Li
2021	J	`jnl`	Kernel Stability for Model Selection in Kernel-Based Algorithms. IEEE Trans. Cybern. Yong Liu, Shizhong Liao, Hua Zhang, Wenqi Ren, Weiping Wang
2021	A*	`conf`	Regret Bounds for Online Kernel Selection in Continuous Kernel Space. AAAI Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen
2020	B	`conf`	A Kernel Perspective for the Decision Boundary of Deep Neural Networks. ICTAI Yifan Zhang, Shizhong Liao
2020	B	`conf`	A New Learning Algorithm with General Loss for Neural Networks with Random Weights. ICTAI Yunfei Yao, Junfan Li, Shizhong Liao
2020	J	`jnl`	Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao
2020	J	`jnl`	Fast Cross-Validation for Kernel-Based Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang
2020	A*	`conf`	Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space. IJCAI Xiao Zhang, Shizhong Liao
2019	J	`jnl`	A survey on online kernel selection for online kernel learning. WIREs Data Mining Knowl. Discov. Xiao Zhang, Yun Liao, Shizhong Liao
2019	A*	`conf`	Approximate Kernel Selection with Strong Approximate Consistency. AAAI Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao
2019	A*	`conf`	Incremental Randomized Sketching for Online Kernel Learning. ICML Xiao Zhang, Shizhong Liao
2019	B	`conf`	Learning Sparse Support Vector Machine with Relaxation and Rounding. ICTAI Xiangyu Tian, Shizhong Liao
2019	A*	`conf`	Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. AAAI Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao
2019	A	`conf`	New Online Kernel Ridge Regression via Incremental Predictive Sampling. CIKM Shan Xu, Xiao Zhang, Shizhong Liao
2019	B	`conf`	Online Kernel Selection via Grouped Adversarial Bandit Model. ICTAI Junfan Li, Shizhong Liao
2019	A	`conf`	Online Kernel Selection via Tensor Sketching. CIKM Shizhong Liao, Xiao Zhang
2019	J	`jnl`	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 Junfan Li, Shizhong Liao
2018	B	`conf`	A Linear Incremental Nyström Method for Online Kernel Learning. ICPR Shan Xu, Xiao Zhang, Shizhong Liao
2018	B	`conf`	An Online Kernel Selection Wrapper via Multi-Armed Bandit Model. ICPR Junfan Li, Shizhong Liao
2018	J	`jnl`	CP-nets学习的复杂度 (Complexity of CP-nets Learning). 计算机科学 Jinglei Liu, Shizhong Liao
2018	A*	`conf`	Fast Cross-Validation. IJCAI Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao
2018	—	`conf`	Improved Sublinear Primal-Dual Algorithm for Support Vector Machines. KSEM (2) Ming Gu, Shizhong Liao
2018	A*	`conf`	Online Kernel Selection via Incremental Sketched Kernel Alignment. IJCAI Xiao Zhang, Shizhong Liao
2018	—	`conf`	Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space. KSEM (2) Junfan Li, Shizhong Liao
2018	A*	`conf`	Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. AAAI Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao
2017	J	`jnl`	An Approximate Approach to Automatic Kernel Selection. IEEE Trans. Cybern. Lizhong Ding, Shizhong Liao
2017	A*	`conf`	Generalization Analysis for Ranking Using Integral Operator. AAAI Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang
2017	J	`jnl`	Granularity selection for cross-validation of SVM. Inf. Sci. Yong Liu, Shizhong Liao
2017	A*	`conf`	Infinite Kernel Learning: Generalization Bounds and Algorithms. AAAI Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang
2017	J	`jnl`	Predictive Nyström method for kernel methods. Neurocomputing Jiangang Wu, Lizhong Ding, Shizhong Liao
2017	J	`jnl`	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 Mei Wang, Shasha Wang, Yingqi Sun, Kaoping Song, Feng Tian, Shizhong Liao
2017	J	`jnl`	Scalable Gaussian Kernel Support Vector Machines with Sublinear Training Time Complexity. Inf. Sci. Chang Feng, Shizhong Liao
2017	—	`conf`	Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space. ICONIP (1) Zhizhuo Han, Shizhong Liao
2016	J	`jnl`	Tensor completion via multi-shared-modes canonical correlation analysis. Neurocomputing Xiao Zhang, Shizhong Liao
2015	C	`conf`	Accuracy-Preserving and Scalable Column-Based Low-Rank Matrix Approximation. KSEM Jiangang Wu, Shizhong Liao
2015	—	`conf`	Boosting via Approaching Optimal Margin Distribution. PAKDD (1) Chuan Liu, Shizhong Liao
2015	A*	`conf`	Eigenvalues Ratio for Kernel Selection of Kernel Methods. AAAI Yong Liu, Shizhong Liao
2015	J	`jnl`	Expressive efficiency of two kinds of specific CP-nets. Inf. Sci. Jinglei Liu, Shizhong Liao
2015	—	`conf`	Parallel Column Subset Selection of Kernel Matrix for Scaling up Support Vector Machines. ICA3PP (3) Jiangang Wu, Chang Feng, Peihuan Gao, Shizhong Liao
2015	J	`jnl`	ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image. Comput. Math. Methods Medicine Yan Cui, Shizhong Liao, Hongwu Wang
2015	A*	`conf`	Random Feature Mapping with Signed Circulant Matrix Projection. IJCAI Chang Feng, Qinghua Hu, Shizhong Liao
2015	J	`jnl`	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 Chang Feng, Zida Li, Shizhong Liao
2014	—	`conf`	Approximate Consistency: Towards Foundations of Approximate Kernel Selection. ECML/PKDD (1) Lizhong Ding, Shizhong Liao
2014	B	`conf`	Clustering Human Wrist Pulse Signals via Multiple Criteria Decision Making. ICTAI Bo Dong, Peihuan Gao, Hongwu Wang, Shizhong Liao
2014	A*	`conf`	Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function. ICML Yong Liu, Shali Jiang, Shizhong Liao
2014	J	`jnl`	Kernel selection with spectral perturbation stability of kernel matrix. Sci. China Inf. Sci. Yong Liu, Shizhong Liao
2014	J	`jnl`	MACT: A Manageable Minimization Allocation System. Comput. Math. Methods Medicine Yan Cui, Huaien Bu, Hongwu Wang, Shizhong Liao
2014	J	`jnl`	Meta-ELM: ELM with ELM hidden nodes. Neurocomputing Shizhong Liao, Chang Feng
2014	A	`conf`	Model Selection with the Covering Number of the Ball of RKHS. CIKM Lizhong Ding, Shizhong Liao
2014	—	`conf`	Preventing Over-Fitting of Cross-Validation with Kernel Stability. ECML/PKDD (2) Yong Liu, Shizhong Liao
2014	J	`jnl`	QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity. Knowl. Based Syst. Yali Lv, Shizhong Liao, Hongbo Shi, Yuhua Qian, Suqin Ji
2013	A	`conf`	Eigenvalues perturbation of integral operator for kernel selection. CIKM Yong Liu, Shali Jiang, Shizhong Liao
2013	Misc	`conf`	Health identification of traditional Chinese medicine with tongue images. ICMLC Chang Feng, Shali Jiang, Hongwu Wang, Shizhong Liao
2012	—	`conf`	An Explicit Description of the Extended Gaussian Kernel. PAKDD Workshops Yong Liu, Shizhong Liao
2012	B	`conf`	Model Combination for Support Vector Regression via Regularization Path. PRICAI Mei Wang, Shizhong Liao
2012	—	`conf`	Nyström Approximate Model Selection for LSSVM. PAKDD (1) Lizhong Ding, Shizhong Liao
2012	J	`jnl`	Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine. J. Comput. Chenhao Yang, Lizhong Ding, Shizhong Liao
2012	Misc	`conf`	Sketch recognition via string kernel. ICNC Shizhong Liao, Menghua Duan
2011	C	`conf`	An Error Bound for Eigenvalues of Graph Laplacian with Bounded Kernel Function. CIS Yong Liu, Shizhong Liao
2011	C	`conf`	Approximate Model Selection for Large Scale LSSVM. ACML Lizhong Ding, Shizhong Liao
2011	A	`conf`	Learning kernels with upper bounds of leave-one-out error. CIKM Yong Liu, Shizhong Liao, Yuexian Hou
2010	J	`jnl`	Learning with Uncertain Kernel Matrix Set. J. Comput. Sci. Technol. Lei Jia, Shizhong Liao, Li-Zhong Ding
2009	—	`conf`	A Complete Label Set for 3D-sketch Labeling. FSKD (5) Jing Guo, Shizhong Liao
2009	C	`conf`	Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix. ACML Lei Jia, Shizhong Liao
2009	—	`conf`	Group Structure Influence on Group Lasso Consistency. ICNC (6) Mei Wang, Shizhong Liao
2009	A	`conf`	Message family propagation for ising mean field based on iteration tree. CIKM Yarui Chen, Shizhong Liao
2009	—	`conf`	Qualitative Motion Reasoning Based on Voronoi Diagram. ICNC (6) Xiaodong Wang, Shizhong Liao
2008	—	`conf`	A Generic Diffusion Kernel for Semi-supervised Learning. ISNN (1) Lei Jia, Shizhong Liao
2008	—	`conf`	Cluster Selection Based on Coupling for Gaussian Mean Fields. ISNN (1) Yarui Chen, Shizhong Liao
2008	—	`conf`	Coupling and Accuracy of Gaussian Mean Fields. FSKD (2) Yarui Chen, Shizhong Liao
2008	—	`conf`	Hyperkernel Construction for Support Vector Machines. ICNC (2) Lei Jia, Shizhong Liao
2007	B	`conf`	Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines. PAKDD Shizhong Liao, Lei Jia