孟凡

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  • Meng Fan
  • 性别:男
  • 职称:助理教授
  • 所在部门:情报学教研室
  • 电子邮箱:mengfan@pku.edu.cn
研究方向
大数据分析(Big Data Analysis)
知识发现(Knowledge Discovery)
数据挖掘(Data Mining)
图像识别(Image Recognition)
深度学习(Deep Learning)
教育背景
2008.09-2012.07,管理学学士(Bachelor of Management),信息管理与信息系统专业(Major in Information Management and System),北京大学6165金沙总站(Department of Information Management, Peking University)
2012.09-2017.07,管理学博士(Ph.D.),管理科学与工程专业(Major in Management Science and Engineering),中国科学院大学经济与管理学院(School of Economics and Management,University of Chinese Academy of Sciences)
工作经历
2021.1-,北京大学6165金沙总站,助理教授、研究员(Assistant Professor at the Department of Information Management, Peking University)
2019.7-2020.12,中央财经大学管理科学与工程学院,管理科学系副主任(Associate Department Head, Department of Management Science,School of Management Science and Engineering, Central University of Finance and Economics)
2017.7-2020.12,中央财经大学管理科学与工程学院,管理科学系,讲师(Lecturer at the Department of Management Science,School of Management Science and Engineering, Central University of Finance and Economics)
目前开设课程
Python数据分析(Data Analytics with Python)
多媒体技术(Multi-media Technology)
代表性论文
[1]Meng F., Qi Z., Chen Z., Wang B.,Shi, Y. Token based Crack Detection. Journal of Intelligent and Fuzzy Systems, 2020, 38(3), 3501-3513 (2020) 
[2]Meng F., Qi Z., Tian Y. et al. Pedestrian detection based on the privileged information. Neural Computing & Applications, 2018, 29,1485–1494 (2018) 
[3]Qi Z., Meng F., Tian Y., et al. Adaboost-LLP: A Boosting Method for Learning with Label Proportions. EEE Transactions on Neural Networks and Learning Systems, 2018, 29(8): 3548-3559. 
[4]Qi Z, Wang B, Meng F, et al. Learning with Label Proportions via NPSVM. IEEE Transactions on Cybernetics,2017,47(10). 
[5]Shi, Y., Cui, L., Qi, Z., Meng, F., & Chen, Z. Automatic Road Crack Detection Using Random Structured Forests. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(12): 3434-3445. 
[6]Shi, Y., Chen, Z., Qi, Z., Meng, F., & Cui, L. A Novel Clustering-Based Image Segmentation via Density Peaks Algorithm with Mid-Level Feature. Neural Computing and Applications,2017,28(1)
[7]Chen Z., Qi Z., Wang Bo., Cui L., Meng F., Shi Y., Learning with Label Proportions based on Nonparallel Support Vector Machines, Knowledge-Based Systems,2017,119.
[8]Meng F., Li A.. Pavement Crack Detection Using Sketch Token[C]. Procedia Computer Science,2018,139. 
[9]Meng F., Qi Z, Cui L., et al. Supervised Object Boundary Detection based on Structured Forests.International Conference on Data Science. Springer International Publishing, 2015: 87-94. 
[10]Meng F., Wang Y., Li J.. An Approach to Build Industry Asset Price Index: Take Four Industries for Examples. Procedia Computer Science, 2013, 17: 704-712.
[11]Cui L., Qi Z., Meng F. A Proportion Learning Algorithm with Density Peaks. Procedia Computer Science, 2016, 91: 841-846. (Best Paper)
[12]Cui L., Meng F., Shi Y., et al. A Hierarchy Method Based on LDA and SVM for News Classification. IEEE International Conference on Data Mining Workshop. IEEE, 2014: 60-64.
[13]Li J., Zhang L., Meng F., et al. Recommendation Algorithm based on Link Prediction and Domain Knowledge in Retail Transactions. Procedia Computer Science, 2014, 31: 875-881.
[14]石勇, 孟凡, 齐志泉.基于LapESVR的比例标签学习模型.管理评论,2019,31(06):135-143.
[15]石勇, 孟凡. 信用评分基本理论及其应用.大数据,2017,3(01):19-26.
[16]孟凡, 齐志泉, 石勇. 上市公司股权集中度与公司绩效的关系. 中国管理现代化研究会、复旦管理学奖励基金会.第十届(2015)中国管理学年会, 2015:11.
[17]王继民, 李雷明子, 孟凡, 郑玉凤. 基于用户日志的移动搜索行为分析. 图书情报工作,2013,19:102-106+120.
科研项目
主持科研项目:
国家自然科学基金重点项目子课题,基于大数据融合的新一代商务智能系统构建研究(71932008)
国家自然科学基金青年基金,基于领域知识的标签聚合学习问题研究及其在商务分析中的应用(71801232)
中央财经大学青年教师发展基金重点项目,面向管理应用的比例标签学习研究(QJJ1704)
参加科研项目:
国自科重点项目,面向管理决策的非结构化大数据分析方法与关键技术(91546201)
国自科面上项目,基于自适应状态相依Hawkes过程和双重深度Q学习的动态限价指令簿市场微观结构与最优交易执行研究(71971226)
国自科面上项目,O2O商务模式下多源异构大数据的挖掘、融合与应用研究(71871233)
国自科青年基金,基于PAC理论的标签比例学习算法研究(61702099)
其他参与项目:
考拉征信大数据个人信用评分项目
中国工商银行高端客户流失预警模型研究
新华社金融信息平台“新华08”数据标准规范总则研究
北京天健兴业资产评估有限公司资产价格指数构建研究
获奖情况
中国科学院大学优秀毕业生(2017)
北京市优秀毕业生(2017)
中央财经大学管理科学与工程学院优秀教学奖(2019)
中央财经大学管理科学与工程学院优秀学生管理奖(2020)
社会兼职
2017-2021国际数据挖掘会议ICDM分会联合主席(Co-Chair of Workshop on Optimization Based Techniques for Emerging Data Mining at IEEE ICDM, 2017-2021)
2019-2021信息技术与量化管理国际会议ITQM分会联合主席(Co-Chair of Workshop on Outlier Detection in Financial Data Streams &Big Data and Management Science at ITQM, 2019,2021)
期刊会议审稿人(Reviewer for journals and conferences):Neurocomputing,Annuals of Data Science,Journal of Electronic Imaging,JCDL,ICDM workshop,ITQM,ICDS等