Effective constructing training sets for object detection. - Weining Wu; Yang Liu 006; Wei Zeng 006; Maozu Guo 001; Chunyu Wang 002; Xiaoyan Liu (ICIP, 2013)

A probabilistic model of active learning with multiple noisy oracles. - Weining Wu; Yang Liu 006; Maozu Guo 001; Chunyu Wang 002; Xiaoyan Liu (Neurocomputing, 2013)

Actively constructing an effective training set by expected gain maximization criterion. - Weining Wu; Shaobin Huang; Maozu Guo 001 (Neurocomputing, 2015)

Active reducing classification error for CAD systems. - Weining Wu (Knowl. Based Syst., 2015)

Actively Discover Knowledge by Structural Risk Estimation. - Weining Wu (ICMLA, 2017)

Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. - Fan Zhang 013; Weining Wu; Lipeng Ning; Gloria McAnulty; Deborah P. Waber; Borjan A. Gagoski; Kiera Sarill; Hesham M. Hamoda; Yang Song 001; Weidong Cai 001; Yogesh Rathi; Lauren J. O'Donnell (MICCAI (1), 2017)

Active Framework by Sparsity Exploitation for Constructing a Training Set. - Maozu Guo 001; Weining Wu; Yang Liu 006 (ICIC (1), 2018)

Interactive object retrieval via cost-minimizing queries. - Weining Wu (Appl. Soft Comput., 2018)

Attribute distance for fast classification systems. - Weining Wu (Expert Syst. Appl., 2018)

Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. - Fan Zhang 013; Weining Wu; Lipeng Ning; Gloria McAnulty; Deborah P. Waber; Borjan A. Gagoski; Kiera Sarill; Hesham M. Hamoda; Yang Song 001; Weidong Cai 001; Yogesh Rathi; Lauren J. O'Donnell (NeuroImage, 2018)

Class-aware progressive self-training for learning convolutional networks on graphs. - Ke Chen; Weining Wu (Expert Syst. Appl., 2024)

Attention-based supervised contrastive learning on fine-grained image classification. - Qian Li; Weining Wu (Pattern Anal. Appl., 2024)