Lei Shi - RankMe

64 papers A* 1Journal 62Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Decentralized Framework for Kernel PCA With Projection Consensus Constraints. IEEE Trans. Pattern Anal. Mach. Intell. Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang
2025	J	`jnl`	Online learning algorithms tackling covariate shift. Adv. Comput. Math. Zheng-Chu Guo, Lei Shi
2025	J	`jnl`	Optimal Convergence Rates of Deep Neural Network Classifiers. CoRR Zihan Zhang, Lei Shi, Ding-Xuan Zhou
2025	J	`jnl`	Spectral Algorithms under Covariate Shift. CoRR Jun Fan, Zheng-Chu Guo, Lei Shi
2024	J	`jnl`	Classification with Deep Neural Networks and Logistic Loss. J. Mach. Learn. Res. Zihan Zhang, Lei Shi, Ding-Xuan Zhou
2024	J	`jnl`	Coefficient-based regularized distribution regression. J. Approx. Theory Yuan Mao, Lei Shi, Zheng-Chu Guo
2024	J	`jnl`	Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty. IEEE Trans. Neural Networks Learn. Syst. Fan He, Mingzhen He, Lei Shi, Xiaolin Huang
2024	J	`jnl`	Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning. CoRR Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2024	J	`jnl`	Long-time Integration of Nonlinear Wave Equations with Neural Operators. CoRR Guanhang Lei, Zhen Lei, Lei Shi
2024	J	`jnl`	Optimal gradient tracking for decentralized optimization. Math. Program. Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2024	J	`jnl`	Optimality of Robust Online Learning. Found. Comput. Math. Zheng-Chu Guo, Andreas Christmann, Lei Shi
2024	J	`jnl`	Pairwise ranking with Gaussian kernel. Adv. Comput. Math. Guanhang Lei, Lei Shi
2024	J	`jnl`	Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs. SIAM J. Optim. Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2024	J	`jnl`	Solving Parametric PDEs with Radial Basis Functions and Deep Neural Networks. CoRR Guanhang Lei, Zhen Lei, Lei Shi, Chenyu Zeng
2024	J	`jnl`	Stochastic Gradient Descent for Two-layer Neural Networks. CoRR Dinghao Cao, Zheng-Chu Guo, Lei Shi
2023	J	`jnl`	Classification with Deep Neural Networks and Logistic Loss. CoRR Zihan Zhang, Lei Shi, Ding-Xuan Zhou
2023	J	`jnl`	Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels. CoRR Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2023	J	`jnl`	Learning With Asymmetric Kernels: Least Squares and Feature Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2023	J	`jnl`	Optimality of Robust Online Learning. CoRR Zheng-Chu Guo, Andreas Christmann, Lei Shi
2023	J	`jnl`	Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks. CoRR Guanhang Lei, Zhen Lei, Lei Shi, Chenyu Zeng, Ding-Xuan Zhou
2022	J	`jnl`	A Decentralized Framework for Kernel PCA with Projection Consensus Constraints. CoRR Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang
2022	J	`jnl`	Capacity dependent analysis for functional online learning algorithms. CoRR Xin Guo, Zheng-Chu Guo, Lei Shi
2022	J	`jnl`	Coefficient-based Regularized Distribution Regression. CoRR Yuan Mao, Lei Shi, Zheng-Chu Guo
2022	A*	`conf`	Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. NeurIPS Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
2022	J	`jnl`	Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate. CoRR Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
2022	J	`jnl`	Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. IEEE Trans. Signal Process. Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2022	J	`jnl`	Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. CoRR Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2021	J	`jnl`	Analysis of regularized least-squares in reproducing kernel Kreĭn spaces. Mach. Learn. Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens
2021	J	`jnl`	Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. CoRR Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2021	J	`jnl`	Generalization Properties of hyper-RKHS and its Applications. J. Mach. Learn. Res. Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens
2021	J	`jnl`	Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs. CoRR Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
2020	J	`jnl`	A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels. IEEE Trans. Neural Networks Learn. Syst. Fanghui Liu, Xiaolin Huang, Lei Shi, Jie Yang, Johan A. K. Suykens
2020	J	`jnl`	Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces. CoRR Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens
2020	J	`jnl`	Fast algorithms for robust principal component analysis with an upper bound on the rank. CoRR Ningyu Sha, Lei Shi, Ming Yan
2020	J	`jnl`	Preface of the special issue on analysis in data science: Methods and applications. Math. Found. Comput. Xin Guo, Lei Shi
2020	J	`jnl`	Realizing Data Features by Deep Nets. IEEE Trans. Neural Networks Learn. Syst. Zheng-Chu Guo, Lei Shi, Shao-Bo Lin
2019	J	`jnl`	Fast and strong convergence of online learning algorithms. Adv. Comput. Math. Zheng-Chu Guo, Lei Shi
2019	J	`jnl`	Realizing data features by deep nets. CoRR Zheng-Chu Guo, Lei Shi, Shao-Bo Lin
2019	J	`jnl`	Robust mixed one-bit compressive sensing. Signal Process. Xiaolin Huang, Haiyan Yang, Yixing Huang, Lei Shi, Fan He, Andreas K. Maier, Ming Yan
2019	J	`jnl`	Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization. J. Mach. Learn. Res. Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A. K. Suykens
2018	J	`jnl`	Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions. CoRR Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens
2018	J	`jnl`	Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms. Neurocomputing Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens
2017	J	`jnl`	Convergence of Unregularized Online Learning Algorithms. CoRR Yunwen Lei, Lei Shi, Zheng-Chu Guo
2017	J	`jnl`	Convergence of Unregularized Online Learning Algorithms. J. Mach. Learn. Res. Yunwen Lei, Lei Shi, Zheng-Chu Guo
2017	J	`jnl`	Fast and Strong Convergence of Online Learning Algorithms. CoRR Zheng-Chu Guo, Lei Shi
2017	J	`jnl`	Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network. CoRR Zheng-Chu Guo, Lei Shi, Qiang Wu
2017	J	`jnl`	Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network. J. Mach. Learn. Res. Zheng-Chu Guo, Lei Shi, Qiang Wu
2017	J	`jnl`	Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. CoRR Xiaolin Huang, Yan Xia, Lei Shi, Yixing Huang, Ming Yan, Joachim Hornegger, Andreas K. Maier
2017	J	`jnl`	Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values. IEEE Trans. Neural Networks Learn. Syst. Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2015	J	`jnl`	Learning with the maximum correntropy criterion induced losses for regression. J. Mach. Learn. Res. Yunlong Feng, Xiaolin Huang, Lei Shi, Yuning Yang, Johan A. K. Suykens
2015	J	`jnl`	Pinball Loss Minimization for One-bit Compressive Sensing. CoRR Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens
2015	J	`jnl`	Sequential minimal optimization for SVM with pinball loss. Neurocomputing Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2015	J	`jnl`	Two-level ℓ Signal Process. Xiaolin Huang, Yipeng Liu, Lei Shi, Sabine Van Huffel, Johan A. K. Suykens
2014	J	`jnl`	Asymmetric least squares support vector machine classifiers. Comput. Stat. Data Anal. Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2014	J	`jnl`	Asymmetric v-tube support vector regression. Comput. Stat. Data Anal. Xiaolin Huang, Lei Shi, Kristiaan Pelckmans, Johan A. K. Suykens
2014	J	`jnl`	Quantile regression with ℓ 1 - regularization and Gaussian kernels. Adv. Comput. Math. Lei Shi, Xiaolin Huang, Zheng Tian, Johan A. K. Suykens
2014	J	`jnl`	Ramp loss linear programming support vector machine. J. Mach. Learn. Res. Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2014	J	`jnl`	Support Vector Machine Classifier With Pinball Loss. IEEE Trans. Pattern Anal. Mach. Intell. Xiaolin Huang, Lei Shi, Johan A. K. Suykens
2013	J	`jnl`	Learning with coefficient-based regularization and ℓ1 -penalty. Adv. Comput. Math. Zheng-Chu Guo, Lei Shi
2011	J	`jnl`	Classification with non-i.i.d. sampling. Math. Comput. Model. Zheng-Chu Guo, Lei Shi
2011	J	`jnl`	Normal estimation on manifolds by gradient learning. Numer. Linear Algebra Appl. Lei Shi, Ding-Xuan Zhou
2010	J	`jnl`	Hermite learning with gradient data. J. Comput. Appl. Math. Lei Shi, Xin Guo, Ding-Xuan Zhou
2010	J	`jnl`	Learning theory viewpoint of approximation by positive linear operators. Comput. Math. Appl. Shaogao Lv, Lei Shi
2009	—	`conf`	Gradient Learning Approach for Variable Selection in Credit Scoring. BIFE Quan-Wu Xiao, Lei Shi