Lin Xu - RankMe

22 papers A* 1A 2C 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IDEAL: Independent domain embedding augmentation learning. Pattern Recognit. Zelin Yang, Lin Xu, Shiyang Yan, Haixia Bi, Fan Li
2022	J	`jnl`	Adaptive multi-task learning for cross domain and modal person re-identification. Neurocomputing Shiyang Yan, Jianan Zhao, Lin Xu
2022	J	`jnl`	Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks. IEEE Trans. Netw. Sci. Eng. Lin Xu, Xiangyong Cao, Jing Yao, Zheng Yan
2022	J	`jnl`	Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. Jing Yao, Danfeng Hong, Lin Xu, Deyu Meng, Jocelyn Chanussot, Zongben Xu
2022	A	`conf`	Unsupervised Image-to-Image Translation with Patch Pyramid Dual Contrastive Learning for Cross Domain Object Detection. ICME Yunlong Meng, Lifan Zhao, Lin Xu
2021	A	`conf`	LPCC-Net: RGB Guided Local Point Cloud Completion for Outdoor 3D Object Detection. ICME Yufei Wei, Yao Xiao, Yibo Guo, Shichao Liu, Lin Xu
2021	A*	`conf`	PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification. CVPR Jianan Zhao, Fengliang Qi, Guangyu Ren, Lin Xu
2020	J	`jnl`	Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field. IEEE Trans. Image Process. Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu
2020	J	`jnl`	Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field. CoRR Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu
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`	Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network. IEEE Trans. Image Process. Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley
2017	J	`jnl`	Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network. CoRR Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley
2017	J	`jnl`	Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. Neurocomputing Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu
2017	C	`conf`	Polsar image classification based on three-dimensional wavelet texture features and Markov random field. IGARSS Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu
2017	J	`jnl`	Shrinkage Degree in L IEEE Trans. Neural Networks Learn. Syst. Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu
2016	J	`jnl`	Greedy Criterion in Orthogonal Greedy Learning. CoRR Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, 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`	Re-scale AdaBoost for attack detection in collaborative filtering recommender systems. Knowl. Based Syst. Zhihai Yang, Lin Xu, Zhongmin Cai, 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`	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`	Greedy metrics in orthogonal greedy learning. CoRR Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu