Shaobo Lin - RankMe

63 papers A* 1A 1Journal 58Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	An Effective Crop-Paste Pipeline for Few-shot Object Detection. CVPR Workshops Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao
2023	J	`jnl`	An Effective Crop-Paste Pipeline for Few-shot Object Detection. CoRR Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao
2023	J	`jnl`	Explore the Power of Dropout on Few-shot Learning. CoRR Shaobo Lin, Xingyu Zeng, Rui Zhao
2023	—	`conf`	Explore the Power of Synthetic Data on Few-shot Object Detection. CVPR Workshops Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao
2023	J	`jnl`	Explore the Power of Synthetic Data on Few-shot Object Detection. CoRR Shaobo Lin, Kun Wang, Xingyu Zeng, Rui Zhao
2023	J	`jnl`	Sketching with Spherical Designs for Noisy Data Fitting on Spheres. CoRR Shaobo Lin, Di Wang, Ding-Xuan Zhou
2022	J	`jnl`	A Unified Framework with Meta-dropout for Few-shot Learning. CoRR Shaobo Lin, Xingyu Zeng, Rui Zhao
2022	—	`conf`	Three-stage Training Pipeline with Patch Random Drop for Few-shot Object Detection. ACCV (6) Shaobo Lin, Xingyu Zeng, Shilin Yan, Rui Zhao
2021	J	`jnl`	Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. Long Chen, Shaobo Lin, Xiankai Lu, Dongpu Cao, Hangbin Wu, Chi Guo, Chun Liu, Fei-Yue Wang
2021	J	`jnl`	Distributed Filtered Hyperinterpolation for Noisy Data on the Sphere. SIAM J. Numer. Anal. Shaobo Lin, Yuguang Wang, Ding-Xuan Zhou
2020	J	`jnl`	Learning Through Deterministic Assignment of Hidden Parameters. IEEE Trans. Cybern. Jian Fang, Shaobo Lin, Zongben Xu
2019	J	`jnl`	A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning. CoRR Jinshan Zeng, Shaobo Lin, Yuan Yao
2019	J	`jnl`	Constructive Neural Network Learning. IEEE Trans. Cybern. Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang
2019	J	`jnl`	Fast Learning With Polynomial Kernels. IEEE Trans. Cybern. Shaobo Lin, Jinshan Zeng
2019	A*	`conf`	Global Convergence of Block Coordinate Descent in Deep Learning. ICML Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao
2019	A	`conf`	High-Resolution Driving Scene Synthesis Using Stacked Conditional Gans and Spectral Normalization. ICME Shaobo Lin, Long Chen, Qin Zou, Wei Tian
2019	J	`jnl`	Rescaled Boosting in Classification. IEEE Trans. Neural Networks Learn. Syst. Yao Wang, Xu Liao, Shaobo Lin
2019	J	`jnl`	Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation. IEEE Trans. Neural Networks Learn. Syst. Xiangyu Chang, Yan Zhong, Yao Wang, Shaobo Lin
2018	J	`jnl`	Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees. CoRR Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao
2018	J	`jnl`	Construction of neural networks for realization of localized deep learning. CoRR Charles K. Chui, Shaobo Lin, Ding-Xuan Zhou
2018	J	`jnl`	Corrigendum to "GAITA: A Gauss-Seidel iterative thresholding algorithm for l J. Comput. Appl. Math. Jinshan Zeng, Zhimin Peng, Shaobo Lin
2018	J	`jnl`	Greedy Criterion in Orthogonal Greedy Learning. IEEE Trans. Cybern. Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu
2018	J	`jnl`	Learning through deterministic assignment of hidden parameters. CoRR Jian Fang, Shaobo Lin, Zongben Xu
2017	J	`jnl`	Distributed Learning with Regularized Least Squares. J. Mach. Learn. Res. Shaobo Lin, Xin Guo, Ding-Xuan Zhou
2017	J	`jnl`	Distributed Semi-supervised Learning with Kernel Ridge Regression. J. Mach. Learn. Res. Xiangyu Chang, Shaobo Lin, Ding-Xuan Zhou
2017	J	`jnl`	GAITA: A Gauss-Seidel iterative thresholding algorithm for ℓ J. Comput. Appl. Math. Jinshan Zeng, Zhimin Peng, Shaobo Lin
2017	J	`jnl`	Learning Rates for Classification with Gaussian Kernels. Neural Comput. Shaobo Lin, Jinshan Zeng, Xiangyu Chang
2017	J	`jnl`	Learning rates for classification with Gaussian kernels. CoRR Shaobo Lin, Jinshan Zeng, Xiangyu Chang
2017	J	`jnl`	Limitations of shallow nets approximation. Neural Networks Shaobo Lin
2017	J	`jnl`	Shrinkage Degree in L IEEE Trans. Neural Networks Learn. Syst. Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu
2016	J	`jnl`	Constructive neural network learning. CoRR Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang
2016	J	`jnl`	Distributed Learning with Regularized Least Squares. CoRR Shaobo Lin, Xin Guo, Ding-Xuan Zhou
2016	J	`jnl`	Divide and Conquer Local Average Regression. CoRR Xiangyu Chang, Shaobo Lin, Yao Wang
2016	J	`jnl`	Greedy Criterion in Orthogonal Greedy Learning. CoRR Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu
2016	J	`jnl`	Learning and approximation capabilities of orthogonal super greedy algorithm. Knowl. Based Syst. Jian Fang, Shaobo Lin, Zongben Xu
2016	J	`jnl`	Learning capability of the truncated greedy algorithm. Sci. China Inf. Sci. Lin Xu, Shaobo Lin, Zongben Xu
2016	J	`jnl`	Linear and nonlinear approximation of spherical radial basis function networks. J. Complex. Shaobo Lin
2016	J	`jnl`	Simultaneous approximation by spherical neural networks. Neurocomputing Shaobo Lin, Feilong Cao
2016	J	`jnl`	Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm. IEEE Trans. Signal Process. Jinshan Zeng, Shaobo Lin, Zongben Xu
2015	J	`jnl`	A Gauss-Seidel Iterative Thresholding Algorithm for lq Regularized Least Squares Regression. CoRR Jinshan Zeng, Zhimin Peng, Shaobo Lin
2015	J	`jnl`	Error Estimate for Spherical Neural Networks Interpolation. Neural Process. Lett. Shaobo Lin, Jinshan Zeng, Zongben Xu
2015	J	`jnl`	Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I). IEEE Trans. Neural Networks Learn. Syst. Xia Liu, Shaobo Lin, Jian Fang, Zongben Xu
2015	J	`jnl`	Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). IEEE Trans. Neural Networks Learn. Syst. Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu
2015	J	`jnl`	Jackson-type inequalities for spherical neural networks with doubling weights. Neural Networks Shaobo Lin, Jinshan Zeng, Lin Xu, Zongben Xu
2015	J	`jnl`	Nonparametric regression using needlet kernels for spherical data. CoRR Shaobo Lin
2015	J	`jnl`	Re-scale boosting for regression and classification. CoRR Shaobo Lin, Yao Wang, Lin Xu
2015	J	`jnl`	Shrinkage degree in L CoRR Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu
2014	J	`jnl`	Almost optimal estimates for approximation and learning by radial basis function networks. Mach. Learn. Shaobo Lin, Xia Liu, Yuanhua Rong, Zongben Xu
2014	J	`jnl`	Greedy metrics in orthogonal greedy learning. CoRR Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu
2014	J	`jnl`	Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). CoRR Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu
2014	J	`jnl`	L IEEE Trans. Signal Process. Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu
2014	J	`jnl`	Learning Rates of Neural Comput. Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu
2014	J	`jnl`	Learning and approximation capability of orthogonal super greedy algorithm. CoRR Jian Fang, Shaobo Lin, Zongben Xu
2014	J	`jnl`	Sparse solution of underdetermined linear equations via adaptively iterative thresholding. Signal Process. Jinshan Zeng, Shaobo Lin, Zongben Xu
2013	J	`jnl`	Approximation by neural networks with scattered data. Appl. Math. Comput. Shaobo Lin, Xiaofei Guo, Feilong Cao, Zongben Xu
2013	J	`jnl`	L CoRR Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu
2013	J	`jnl`	Learning Capability of Relaxed Greedy Algorithms. IEEE Trans. Neural Networks Learn. Syst. Shaobo Lin, Yuanhua Rong, Xingping Sun, Zongben Xu
2013	J	`jnl`	Learning rates of l CoRR Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu
2013	J	`jnl`	Sparse Solution of Underdetermined Linear Equations via Adaptively Iterative Thresholding. CoRR Jinshan Zeng, Shaobo Lin, Zongben Xu
2012	J	`jnl`	A general radial quasi-interpolation operator on the sphere. J. Approx. Theory Shaobo Lin, Feilong Cao, Xiangyu Chang, Zongben Xu
2011	J	`jnl`	Essential rate for approximation by spherical neural networks. Neural Networks Shaobo Lin, Feilong Cao, Zongben Xu
2010	J	`jnl`	Approximation capability of interpolation neural networks. Neurocomputing Feilong Cao, Shaobo Lin, Zongben Xu
2010	J	`jnl`	Constructive approximate interpolation by neural networks in the metric space. Math. Comput. Model. Feilong Cao, Shaobo Lin, Zongben Xu