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刘宏志

  • 博士 副教授
  • 金融信息与工程管理系
  • 人力资源大数据实验室主任
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刘宏志,北京大学理学博士,副教授。主要研究领域:推荐系统、量化投资、信息融合、风险评估。参与和主持多项国家自然科学基金、科技支撑计划、国际合作和企业合作项目。已在PRL、AAAI、MRI、ICDM、IJCNN等国际知名期刊和会议上发表学术论文30多篇。已申请专利10多项。     

       目前是IEEE、ACM和CCF会员。应邀作为IEEE Transactions on Knowledge and Data Engineering (TKDE)、Neurocomputing、IJPRAI等国际知名期刊的审稿人。多次应邀担任IEEE CEC、IEEE ICCI*CC、ICIC、I-SPAN、ICSS等国际会议的Co-Chair、Session Chair和PC Member。2010年至2012年在哥伦比亚大学(美国)做访问研究。曾担任腾讯、看准网等公司顾问。

 
  1. 《数据分析》
  2. 《数据、模型与决策》
  3. 《推荐技术与应用》
  4. 《金融大数据专题》 
 
  1. 双边匹配
  2. 智能投顾
  3. 推荐系统
  4. 特征工程 
  5. 集成学习
 
  1. 基于大数据的岗位推荐,企业合作项目,负责人,2015.8-2017.7
  2. 大数据专题课程建设,Google中国教育合作项目,负责人,2016.9-2017.8 
  3. 电子信息产业国内外专家数据库建设,外专局项目,负责人,2015.9-2016.9
  4. 基于用户线上线下信息融合的信用评级研究,CCF-犀牛鸟基金项目,负责人,2014.9-2015.10
  5. 新媒体资源编解码关键技术研究,国家科技支撑计划项目,子课题负责人,2012.1-2014.12
  6. 云存储的隐私保护与安全保障机制,自然科学基金重点项目,参与人,2013.1-2017.12
  7. 情境感知服务,国际合作项目,参与人,2010.1-2013.4
  8. 基于互联网协同实时编辑软件的可测性与自动化测试技术,国家自然科学基金面上项目,参与人,2010.1-2012.12
 
  1. Shuxia Wang, Bin Fu, Hongzhi Liu*, Zhengshen Jiang, Zhonghai Wu, & D. Frank Hsu, Feature Engineering for Credit Risk Evaluation in Online P2P Lending, International Journal of Software Science and Computational Intelligence (IJSSCI), 2017, 9(2): 1-13
  2. Shuxia Wang, Yuwei Qi, Bin Fu, Hongzhi Liu*. Credit Risk Evaluation Based on Text Analysis. International Journal of Cognitive Informatics and Natural Intelligence, 10(1):1-11, 2016. (EI)
  3. HongZhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu. A Skeleton Pruning Algorithm Based on Information Fusion, Pattern Recognition Letters, 34(10): pp.1138-1145, 15 July 2013 (SCI, EI)
  4. Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bradley S. Peterson, and Dongrong Xu. On the generation and pruning of skeletons using generalized Voronoi diagrams, Pattern Recognition Letters, 33(16): 2113– 2119, 1 December 2012 (SCI, EI)
  5. Hongzhi Liu, Yang Wang, Zhonghai Wu. A New 3D Bounding Box Estimation Approach for Object Reconstruction, Adv. Sci. Lett. 10(1) : 523-527, 15 May 2012
  6. Zhenyu Zhou, Xunheng Wang, Nelson J. Klahr, Wei Liu, Diana Arias, Hongzhi Liu, Karen M. von Deneen, Ying Wen, Zuhong Lu, Dongrong Xu, Yijun Liu, A Conditional Granger Causality Model Approach for Group Analysis in Functional Magnetic Resonance Imaging. Magnetic Resonance Imaging, 29(3): 418-433, 2011 (SCI)
  7. 姜正申, 刘宏志*,基于概率校准的集成学习,计算机应用, 36(2): 291-294,2016
  8. 罗杨,张齐勋,沈晴霓,刘宏志,吴中海,多层次的Android系统权限控制方法,软件学报, 26(Suppl.2), pp 263-271, 2015 (EI)
  9. 王洋,刘宏志,吴中海。基于非线性滤波和纹理传输技术的风格化,计算机辅助设计和图形学学报,27(7),1255-1262, 2015 (EI)
  10. 王洋,刘宏志,吴中海。纸质草稿图的半自动线稿生成算法,计算机辅助设计与图形学学报,26(3),418-428, 2014 (EI)
  11. 刘宏志, 吴中海, 张兴, 一种基于特征选取的传感器选择方法, 计算机应用与软件, 30(9): 100-103,2013
  12. 刘宏志,吴中海,李超,王洋,一种基于三维骨架化的人体姿势估计方法,软件学报, 21:158-164, 2010 (EI)
  13. 曹宁,吴中海,刘宏志,张齐勋,HDFS下载效率的优化, 计算机应用,30(8):2060-2065, 2010
  14. 张晓龙,吴中海,卢云庚,刘宏志,以儿童为中心的情景式人机交互方法,计算机应用,29(12):3427-3430,2009
  15. 刘宏志,一种改进的射门算法,哈尔滨工业大学学报,36(7):975-977,2004 (EI)
 
  1. Bin Fu, Hongzhi Liu*, Zhengshen Jiang, Zhonghai Wu, & D. Frank Hsu. D-FS: A Novel Integration Method of Discretization and Feature Selection, 14th International Symposium on Pervasive Systems, Algorithms, and Networks (I-SPAN 2017), Exeter, UK, June 21-23, 2017. (EI)
  2. Zhengshen Jiang, Hongzhi Liu*, Bin Fu, Zhonghai Wu*. Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning, Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), San Francisco, California, USA, February 4-9,2017: 2073-2079. (EI)
  3. Zhengshen Jiang, Hongzhi Liu*, Bin Fu, Zhonghai Wu. A Novel Bayesian Ensemble Pruning Method, IEEE International Conference on Data Mining (ICDM 2016) PhD Forum, Barcelona, Spain, December 12-15,  2016:1205-1212. (EI)
  4. Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bruce S. Kristal. Improved Combination of Multiple Retrieval Systems Using a Dynamic Combinatorial Fusion Algorithm, IEEE/WIC/ACM International Conference on Web Intelligence 2016 (WI 2016), Omaha, USA, October 13-16, 2016: 529-596. (EI)
  5. Hongzhi Liu, Bin Fu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu. A Feature Selection Framework Based on Supervised Data Clustering, 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2016), Palo Alto, USA, August 22-23, 2016: 316-321 (EI)
  6. HongZhi Liu, Zhonghai Wu, Xing Zhang. Feature Selection Based on Data Clustering, ICIC 2015, LNCS 9225, 227-236, 2015 (EI)
  7. HongZhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu. An Information-Theoretic Feature Selection Method Based on Estimation of Markov Blanket, IEEE ICCI*CC 2015, 327-332, 2015 (EI)
  8. Yang Wang, Hongzhi Liu, Zhonghai Wu. Towards relative gradient and its applications, Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP’14), 94432Z , 2015 (EI, ISTP)
  9. Yang Wang, Hongzhi Liu, Zhonghai Wu. Edge-Preserving Smoothing for Image Decomposition via a Hybrid Approach, Proc. SPIE vol.9069, International Conference on Graphic and Image Processing (ICGIP’2013), Oct. 26-27, 2013, Hong Kong, China, 2013 (EI, ISTP)
  10. Hongzhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu. A Combinatorial Pruning Algorithm for Voronoi Skeletonization,ITSE 2012, Lecture Notes in Electrical Engineering (Springer), Volume 212, pp.325-333, 2013 (EI)
  11. Hongzhi Liu, Zhonghai Wu, and D. Frank Hsu , Combination of Multiple Retrieval Systems Using Rank-Score Function and Cognitive Diversity, In Proc. of the 26th IEEE International Conference on Advanced Information Networking and Applications (AINA2012), pp.167-174, Fukuoka, Japan, March 26-29, 2012 (EI, ISTP)
  12. Hongzhi Liu, Zhonghai Wu, D. Frank Hsu: Combining Multiple Retrieval Systems Using Combinatorial Fusion Analysis and Rank-Score Characteristic Function. In Proc. of the 14th IEEE International Conference on Computational Science and Engineering (CSE 2011),pp.371-378, Dalian, China, August 24-26, 2011 (EI)
  13. Cameron McMunn-Coffran, Elena Paolercio, Hongzhi Liu, Roger Tsai, D. Frank Hsu: Joint decision making in visual cognition using Combinatorial Fusion Analysis. In Proc. of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 2011), pp.254-261, Banff, AB, Canada, August 18-20, 2011 (EI)
  14. PuFeng Wu, Hongzhi Liu, Xixin Cao, Jing Liu, Zhonghai Wu, Efficient improvement for adaboost based face detection system, 11th International Conference on Advanced Communication Technology (ICACT 2009), pp.1453-1457, 2009 (EI, ISTP)
  15. Jian Cao, Chungan Peng, Hongzhi Liu, Xixin Cao. An Improved Watershed Algorithm of Image Segmentation for FPGA Implementation, 2007 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2007), pp.101-104, 2007
  16. Zhongwen Luo, Hongzhi Liu, Cellular genetic algorithms and local search for 3-SAT problem on graphic hardware. IEEE Congress on Evolutionary Computation (CEC 2006), pp. 2988-2992, 2006 (EI, ISTP)
  17. Zhongwen Luo, Hongzhi Liu,Yang Zhengping, Xincai Wu, Self-Organizing Maps computing on Graphic Process Unit, Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN 2005), pp.557-562, 2005 (EI)
  18. Zhongwen Luo, Hongzhi Liu, Xincai Wu, Artificial neural network computation on graphic process unit, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2005), pp.622-626, 2005 (EI, ISTP)
  19. Zhongwen Luo, Zhengping Yang, Hongzhi Liu, Weixian Lv, GA Computation of 3-SAT problem on Graphic Process Unit, Proceedings of the International Symposium on Intelligent Computation and its Application (ISICA 2005), pp.27-31, 2005
  20. 张齐勋,刘宏志,刘诗祥,贾堂,曹健,基于行业专有词典的TF-IDF特征选择算法改进,ESTC 2015
  21. 姜正申,刘宏志,吴中海,基于概率校准的集成学习,第3届CCF大数据学术会议 (CCF BigData 2015),2015
  22. 吴中海,周兴社,林金龙,刘宏志,嵌入式系统的研究进展与趋势, 2011年度中国计算机科学技术年度报告A卷,173-193,2012
  23. 刘宏志,吴中海,一种基于OGRE的在线实时三维人体动画仿真方法,第7届全国智能CAD与数字娱乐学术会议(CIDE2010), 10月14-16, 2010,无锡
 
  1. 刘宏志,李浩,吴中海,张兴,针对Intel移动平台的实时AVS软编码方法,专利号:201410355678.1,授权日期:2017-05-04
  2. 刘宏志、江振滔、赵鹏、吴中海、张兴,一种基于人才流动的学校与公司共同排名方法及装置, 专利申请号:201710142777.5
  3. 刘宏志、江振滔、赵鹏、吴中海、张兴,一种基于人才流动分析的学校排名方法及装置,专利申请号:201710104626.0 刘宏志、姜正申、易晖、赵鹏、吴中海、张兴,一种基于主动学习和模型剪枝的集成学习方法及装置,专利申请号:201611060500.X 
  4. 刘宏志、江振滔、赵鹏、易晖、付彬、吴中海、张兴,一种基于人才流动迭代模型的公司等级排名方法及装置,专利申请号:201610769693.X
  5. 刘宏志、江振滔、赵鹏、易晖、付彬、吴中海、张兴,一种启发式的工作岗位分级方法及装置,专利申请号:201610773434.4
  6. 刘宏志、付彬、赵鹏、易晖、吴中海、张兴,一种基于互信息的数据离散化与特征选择集成方法及装置,专利申请号:201610772796.1
  7. 刘宏志、蒋杰、王巨宏、管刚、吴中海、张兴,一套基于文本分析的信用风险评估方法及装置,专利申请号:201510695316.1
  8. 刘宏志、蒋杰、王巨宏、吴中海、张兴,数据离散化的方法和装置,专利申请号:201510271649.1
  9. 曹喜信,曹健,刘宏志,于敦山,张兴,彭春干,一种分水岭图像分割处理方法, 专利号:200710120550.7,授权日期:2009-06-24
  10. 曹喜信,刘宏志,一种电子桩考系统, 专利号:2006201242475,授权日期:2008-03-19
 
  1. IEEE会员、ACM会员、CCF会员
  2. 多次担任IEEE CEC, ICCI*CC,ICIC,I-SPAN、ICSS等国际会议的Co-Chair、Session Chair和PC Member
  3. IEEE Transactions on Knowledge and Data Engineering (TKDE)、Neurocomputing、IJPRAI等国际期刊的审稿人
  4. 国际期刊Journal of Interconnection Networks编委