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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负责人
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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、重点研发计划、科技支撑计划、国际合作和企业合作项目。已在KBS、PRL、AAAI、MRI、WSDM等国际知名期刊和会议上发表学术论文40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)、Knowledge-Based Systems (KBS)、Neurocomputing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. 智能投顾
  2. 推荐系统
  3. 特征工程 
  4. 集成学习
 
  1. 面向智慧城市的智能化集成化软件互操作平台,国家重点研发计划,骨干成员,2017-2020
  2. 基于大数据的岗位推荐,企业合作项目,负责人,2015.8-2017.7
  3. 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 
  4. 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
  5. 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
  6. 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
  7. 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
  8. 情境感知服务,国际合作项目,参与人,2010.1-2013.4
  9. 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. Hongzhi Liu, Zhonghai Wu, Xing Zhang. CPLR: Collaborative pairwise learning to rank for personalized recommendation, Knowledge-Based Systems, 2018,   https://doi.org/10.1016/j.knosys.2018.02.023  (SCI) (5-Year Impact Factor: 4.627)
  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): 1138-1145, 15 July 2013 (SCI, EI) (5-Year Impact Factor: 2.164)
  4. Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bradley S. Peterson, 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-Year Impact Factor: 2.164)
  5. 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) (5-Year Impact Factor: 2.669)
  6. 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)
  7. 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)
  8. 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. Zhengshen Jiang, Hongzhi Liu*, Bin Fu, Zhonghai Wu*, & Tao Zhang. Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking. The Eleventh ACM International Conference on Web Search and Data Mining (WSDM 2018), Marina Del Rey, CA, USA, February 5-9, 2018: 288-296. (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, Eleventh International Conference on Intelligent Computing (ICIC 2015),  Springer LNCS 9225, 227-236, 2015 (EI)
  7. Yang Wang, Hongzhi Liu, & Zhonghai Wu. Towards relative gradient and its applications, Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94432Z , 2015 (EI, ISTP)
  8. Hongzhi Liu, Zhonghai Wu, & 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 (AINA 2012), pp.167-174, Fukuoka, Japan, March 26-29, 2012 (EI, ISTP)
  9. 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)
  10. 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)
  11. 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,173-193,2012
 
  1. 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
  2.  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 
  3.  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、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
  7. 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
  8. 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
  9. 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)、Knowledge-Based Systems (KBS)、Neurocomputing、IJPRAI等国际期刊的审稿人
  4. 国际期刊Journal of Interconnection Networks编委