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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、金融科技、信息融合。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PR、KBS、IJCAI、AAAI、ICDM、WSDM、EMNLP等国际知名期刊和会议上发表学术论文50多篇。已申请专利10多项。

目前是IEEE、ACM和CCF会员。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。是IEEE Transactions on Knowledge and Data Engineering (TKDE)、Knowledge-Based Systems (KBS)、Neurocomputing等国际知名期刊的审稿人。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. 《数据分析基础》
  2. 《数据、模型与决策》
  3. 《推荐技术与应用》
  4. 《金融大数据专题》
  5.  《量化投资策略与技术》
 
  1. 个性化推荐
  2. 量化投资
  3. 集成学习
  4. 群体智能
 
  1. 国家重点研发计划,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. 企业合作项目,基于机器学习的高效边缘节点代码生成,负责人,2018-2021
  3. 国家863计划主题,云安全的可信服务及在教育云的示范验证,参与人,2015.1-2017.12
  4. 企业合作项目,基于大数据的岗位推荐,负责人,2015.8-2017.7
  5. Google中国教育合作项目,大数据专题课程建设,负责人,2016.9-2017.8
  6. 教育部产学合作协同育人项目,大数据专题,负责人,2016.9-2017.8
  7. CCF-犀牛鸟基金项目,基于用户线上线下信息融合的信用评级研究,负责人,2014.9-2015.10
  8. 国家科技支撑计划项目,新媒体资源编解码关键技术研究,任务负责人,2012.1-2014.12
  9. 丹麦科技创新部重点,情境感知服务,参与人,2010.1-2013.4
  10. 国家自然科学基金面上项目,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,参与人,2010.1-2012.12
 
 
  1. Hongzhi Liu, Yingpeng Du, Zhonghai Wu. AEM: Attentional Ensemble Model for Personalized Classifier Weight Learning, Pattern Recognition, 2019,  https://doi.org/10.1016/j.patcog.2019.106976 (SCI, Impact Factor: 5.898)

  2. Hongzhi Liu, Zhengshen Jiang, Yang Song, Tao Zhang, Zhonghai Wu. User Preference Modeling Based on Meta Paths and Diversity Regularization in Heterogeneous Information Networks, Knowledge-Based Systems, 2019,  https://doi.org/10.1016/j.knosys.2019.05.027 (SCI, Impact Factor: 5.101)

  3. Hongzhi Liu, Zhonghai Wu, Xing Zhang. CPLR: Collaborative pairwise learning to rank for personalized recommendation, Knowledge-Based Systems, 148: 31-40, 2018  (SCI, Impact Factor: 5.101)

  4. Chang Guo, Ying Li, Hongzhi Liu, Zhonghai Wu. An application-oriented Cache Allocation and Prefetching Method for Long-running Applications in Distributed Storage Systems, Chinese Journal of Electronics, 28(4):773-780, 2019 (SCI)

  5. 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)

  6. 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, Impact Factor: 2.810)

  7. 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, Impact Factor: 2.810)

  8. 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, Impact Factor: 2.112)

  9. 姜正申, 刘宏志*, 付彬, 吴中海, 集成学习的泛化误差和AUC分解理论及其在权重优化中的应用,计算机学报,42(1): 1-15,2019  (EI)

  10. 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)   

  11.  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)

 
 
  1.  Zekai Wang, Hongzhi Liu*, Yingpeng Du, Zhonghai Wu, & Xing Zhang. Unified Embedding Model over Heterogeneous Information Network for Recommendation. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), August 10-16, 2019, Macao, China, August 10-16, 2019 (CCF A类会议)

  2. Yao Zhu, Hongzhi Liu*, Zhonghai Wu, Yang Song, & Tao Zhang. Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, November 3-7, 2019 (CCF B类会议)

  3. Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, & Dongmei Zhang. Data-Anonymous Encoding for Text-to-SQL Generation. 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, November 3-7, 2019 (CCF B类会议)   

  4.  Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao QIN, Tie-Yan Liu. Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. The 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019), Graz, Austria, September 15-19, 2019 (CCF C类会议)

  5.  Yuanhang Qu, Hongzhi Liu*, Yingpeng Du, & Zhonghai Wu. A Hybrid Ranking Algorithm for Reciprocal Recommendation. The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), Nanjing, China, August 28-31, 2018: 445-463. (CCF C类会议)

  6. Yingpeng Du, Hongzhi Liu*, Yuanhang Qu, & Zhonghai Wu. Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), Nanjing, China, August 28-31, 2018: 915-927. (CCF C类会议)

  7. 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. (CCF A类会议)

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. 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  (CCF C类会议)

 
 
  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,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)、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