Yong-Li Xu

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 4

Top Topics

Gaussian Kernels

Image Segmentation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

J. Comput. Appl. Math.

Publications

Shuai Lu, Man Hu, Ruirui Li, Yong-Li Xu
A Novel Adaptive Weighted Loss Design in Adversarial Learning for Retinal Nerve Fiber Layer Defect Segmentation. IEEE Access 8 (2020)
José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR (2019)
Yong-Li Xu, Shuai Lu, Han-Xiong Li, Ruirui Li
Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples. Sensors 19 (20) (2019)
Yong-Li Xu, Xiao-Xing Li, Di-Rong Chen, Han-Xiong Li
Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Yong-Li Xu, Min Han, Xue-Mei Dong, Min Wang
-regularizer in sum space. J. Comput. Appl. Math. 261 (2014)
Yong-Li Xu, Di-Rong Chen, Han-Xiong Li, Lu Liu
Least Square Regularized Regression in Sum Space. IEEE Trans. Neural Networks Learn. Syst. 24 (4) (2013)
Yong-Li Xu, Di-Rong Chen
Partially-Linear Least-Squares Regularized Regression for System Identification. IEEE Trans. Autom. Control. 54 (11) (2009)
Yong-Li Xu, Di-Rong Chen
Learning Rates of Regularized Regression for Functional Data. Int. J. Wavelets Multiresolution Inf. Process. 7 (6) (2009)