Daohong Xiang

According to our database, Daohong Xiang authored at least 20 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Total stability of outcome weighted learning.

Yuejia Sun, Dao-Hong Xiang

Math. Found. Comput., 2025

Online outcome weighted learning with general loss functions.

Aoli Yang, Jun Fan, Dao-Hong Xiang

J. Complex., 2025

2021

Comparison theorems on large-margin learning.

Amina Benabid, Jun Fan, Dao-Hong Xiang

Int. J. Wavelets Multiresolution Inf. Process., 2021

2019

Comparison theorems on large-margin learning.

Jun Fan, Dao-Hong Xiang

CoRR, 2019

2018

Total stability of kernel methods.

Andreas Christmann, Dao-Hong Xiang, Ding-Xuan Zhou

Neurocomputing, 2018

2017

The performance of semi-supervised Laplacian regularized regression with the least square loss.

Baohuai Sheng, Daohong Xiang

Int. J. Wavelets Multiresolution Inf. Process., 2017

2016

Statistical consistency of coefficient-based conditional quantile regression.

Jia Cai, Dao-Hong Xiang

J. Multivar. Anal., 2016

A short note on extension theorems and their connection to universal consistency in machine learning.

Andreas Christmann, Florian Dumpert, Dao-Hong Xiang

CoRR, 2016

2015

Convergence rate of semi-supervised gradient learning algorithms.

Baohuai Sheng, Daohong Xiang, Peixin Ye

Int. J. Wavelets Multiresolution Inf. Process., 2015

2014

Fisher discrimination based low rank matrix recovery for face recognition.

Zhonglong Zheng, Mudan Yu, Jiong Jia, Huawen Liu, Daohong Xiang, Xiaoqiao Huang, Jie Yang

Pattern Recognit., 2014

2013

Conditional quantiles with varying Gaussians.

Dao-Hong Xiang

Adv. Comput. Math., 2013

2012

Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression.

Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou

J. Appl. Math., 2012

A new comparison theorem on conditional quantiles.

Dao-Hong Xiang

Appl. Math. Lett., 2012

Sparse Discriminating Neighborhood Preserving Embedding.

Li Guo, Zhonglong Zheng, Jiong Jia, Huawen Liu, Daohong Xiang

Proceedings of the Artificial Intelligence and Computational Intelligence, 2012

2011

Logistic classification with varying Gaussians.

Dao-Hong Xiang

Comput. Math. Appl., 2011

Learning with varying insensitive loss.

Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou

Appl. Math. Lett., 2011

2010

Moving least-square method in learning theory.

Hong-Yan Wang, Dao-Hong Xiang, Ding-Xuan Zhou

J. Approx. Theory, 2010

2009

Classification with Gaussians and Convex Loss.

Dao-Hong Xiang, Ding-Xuan Zhou

J. Mach. Learn. Res., 2009

2008

Parzen windows for multi-class classification.

Zhi-Wei Pan, Dao-Hong Xiang, Quan-Wu Xiao, Ding-Xuan Zhou

J. Complex., 2008

2006

The consistency of multicategory support vector machines.

Di-Rong Chen, Dao-Hong Xiang

Adv. Comput. Math., 2006