发表论文
[1] Weining Wu, Gloria McAnulty, Hesham M. Hamoda, Kiera Sarill, Sarina Karmacharya, Borjan Gagoski, Lipeng Ning, P. Ellen Grant, Martha E. Shenton, Deborah P. Waber, Nikolaos Makris, Yogesh Rathi. Detecting microstructural white matter abnormalities of frontal pathways in children with ADHD using advanced diffusion models. Brain Imaging and Behavior; 2019.04, Online
[2] Weining Wu. Attribute distance for fast classification systems. Expert Systems with Applications; 2018, 105: 183-195
[3] Weining Wu. Interactive object retrieval via cost-minimizing queries. Applied Soft Computing; 2018, 69: 453-463
[4] Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah Waber, Borjan Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell. Suprathreshold fiber cluster statistics: leveraging white matter geometry to enhance tractography statistical analysis. NeuroImage; 2018, 171: 341-354
[5] Maozu Guo, Weining Wu, Yang Liu. Actively estimating uncertainty by sparsity exploitation for efficient learning tasks. 2018 International Conference on Intelligent Computing, Aug. 15-18, 2018, pp. 334-346
[6] Weining Wu. Actively Discover Knowledge by Structural Risk Estimation. 2017 IEEE International Conference on Machine Learning and Applications. Dec. 18-21, 2017, pp. 996-999
[7] Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah Waber, Borjan Gagoski, Kiera Sarill, Hesham Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell. Supra-threshold fiber cluster statistics for data-driven whole brain tractography analysis. 2017 International Conference on Medical Image Computing and Computer Assisted Intervention. Sept 10-14, 2017, pp. 556-565
[8] Weining Wu, Hesham Hamoda, Lipeng Ning, Borjan Gagoski, Kiera Sarill, P. Ellen Grant, Martha E. Shenton, Deborah Waber, Nikos Makris, Gloria McAnulty, Yogesh Rathi. Structural abnormalities in frontal lobe pathways in children with Attention-Deficit/Hyperactivity Disorder (ADHD). 2017 Annual Meeting of International Society for Magnetic Resonance in Medicine. April 22-27, 2017, pp. 3483
[9] Weining Wu. Active reducing classification error for CAD systems. Knowledge-based systems; 2015, 82(7): 95-101
[10] Weining Wu, Shaobin Huang, Maozu Guo. Actively constructing an effective training set by expected gain maximization criterion; Neurocomputing; 2015, 158(6): 62-72
[11] Weining Wu, Yang Liu, Maozu Guo, Chunyu Wang, Xiaoyan Liu. A probabilistic model of active learning with multiple noisy oracles; Neurocomputing; 2013, 118(22): 253-262
[12] Weining Wu, Yang Liu, Wei Zeng, Maozu Guo, Chunyu Wang, Xiaoyan Liu. Effective constructing training sets for object detection; 2013 IEEE International Conference on Image Processing; Sep. 15-18, 2013, pp. 3377-3380
[13] 吴伟宁，刘扬，郭茂祖，刘晓燕. 基于采样策略的主动学习算法研究进展; 计算机研究与发展; 2012, 49(6): 1162-1173
[14] Weining Wu, Yang Liu, Maozu Guo. Constructing training distribution by minimizing variance of risk criterion for visual category learning; 2012 IEEE International Conference on Image Processing; Sep. 30-Oct.3, 2012,pp.101-104
[15] Weining Wu, Maozu Guo, Yang Liu. A method of active learning with optimal sampling strategy; 2012 IEEE International Conference on Computer Science and Automation Engineering; May 25-27, 2012, pp.725-729
[16] Weining Wu, Maozu Guo, Yang Liu, Runzhang Xu. Active learning with optimal distribution for image classification; 2011 International Conference on Multimedia Technology; July 26-28, 2011, pp. 132-136
[17] Weining Wu, Guozhi Song, Xingang Li. Performance analysis of parallel database in grid; 2010 International Conference on Computer and Information Application; Nov.2-4, 2010, pp.323-325
