吴伟宁 - 哈尔滨工程大学 - 计算机科学与技术学院

个人简介

教育经历 2009/03 - 2013/07, 哈尔滨工业大学, 计算机科学与技术学院, 人工智能与信息处理, 博士 2006/09 - 2009/03, 哈尔滨工程大学, 计算机科学与技术学院, 计算机应用技术, 硕士 2002/09 - 2006/06, 哈尔滨工程大学, 计算机科学与技术学院, 计算机科学与技术, 学士工作经历 2018/09 - 至今, 哈尔滨工程大学, 计算机科学与技术学院, 副教授 2014/01 - 2018/08, 哈尔滨工程大学, 计算机科学与技术学院, 讲师 2015/05 - 2017/05, Harvard Medical School, Brigham and Women's Hospital, Research Fellow 2018/04 - 2018/06, Carnegie Mellon University, School of Computer Science, Institute for Software Research, Visiting Scholar 承担项目主持项目：国家自然科学基金面上项目1项，国家自然科学基金青年项目1项，黑龙江省科学基金青年项目1项，中央高校基本科研业务费项目1项，哈尔滨工程大学新进教师科研启动金项目1项。学术交流 [1] Filtered multi-tensor tractography on ADHD cases. 2016, PNL Journal Club, Brigham and Women's Hospital, Harvard Medical School, Boston. [2] Structural abnormalities in frontal lobe pathways in children with Attention-Deficit/Hyperactivity Disorder (ADHD). 2017, PNL Journal Club, Brigham and Women's Hospital, Harvard Medical School, Boston. [3] When machine learning meets medical imaging. 2017, LMI Journal Club, Brigham and Women's Hospital, Harvard Medical School, Boston. 招生信息招收人工智能/机器学习方向研究生本科生授课课程 2017 - 至今，面向对象程序设计 2018 - 至今，计算机科学与技术专业导论 2019 - 至今，离散数学研究生授课课程 2019 - 至今，随机过程专利成果 [1] 一种应用于异分布数据环境的主动学习方法，发明专利，第一发明人，申请号：201710512292.0 [2] 一种基于众包技术的分类模型训练方法，发明专利，第一发明人，申请号：201710511119.9 出版著作 [1] 主动采样与标注估计技术研究及应用, 科学出版社, 吴伟宁, ISBN: 9787030533241

研究领域

机器学习，计算机视觉，医学图像计算

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[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

学术兼职

2012 - 至今 IEEE会员 2012 - 至今 CCF会员 2017 - 至今 ISMRM会员