Weining Wu

According to our database, Weining Wu authored at least 11 papers between 2013 and 2024.

Collaborative distances:

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

2024

Class-aware progressive self-training for learning convolutional networks on graphs.

Ke Chen, Weining Wu

Expert Syst. Appl., March, 2024

2018

Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis.

Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell

NeuroImage, 2018

Attribute distance for fast classification systems.

Weining Wu

Expert Syst. Appl., 2018

Interactive object retrieval via cost-minimizing queries.

Weining Wu

Appl. Soft Comput., 2018

Active Framework by Sparsity Exploitation for Constructing a Training Set.

Maozu Guo, Weining Wu, Yang Liu

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis.

Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Actively Discover Knowledge by Structural Risk Estimation.

Weining Wu

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2015

Active reducing classification error for CAD systems.

Weining Wu

Knowl. Based Syst., 2015

Actively constructing an effective training set by expected gain maximization criterion.

Weining Wu, Shaobin Huang, Maozu Guo

Neurocomputing, 2015

2013

A probabilistic model of active learning with multiple noisy oracles.

Weining Wu, Yang Liu, Maozu Guo, Chun-yu Wang, Xiaoyan Liu

Neurocomputing, 2013

Effective constructing training sets for object detection.

Weining Wu, Yang Liu, Wei Zeng, Maozu Guo, Chun-yu Wang, Xiaoyan Liu

Proceedings of the IEEE International Conference on Image Processing, 2013