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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个人简介
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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。
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主讲课程
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《数据分析基础》
《数据、模型与决策》
《推荐技术与应用》
《金融大数据专题》
?《量化投资策略与技术》
研究方向
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个性化推荐
量化投资
集成学习
群体智能
主要项目
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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
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
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
企业合作项目，基于大数据的岗位推荐，负责人，2015.8－2017.7
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
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
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
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
丹麦科技创新部重点，情境感知服务，参与人，2010.1-2013.4
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
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部分期刊论文
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Hongzhi Liu, Yingpeng Du, Zhonghai Wu. AEM: Attentional Ensemble Model for Personalized Classifier Weight Learning, Pattern Recognition, 96, 10697: 1-8, 2019 (SCI一区, Impact Factor: 5.898)
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, 181, 104784: 1-10, 2019 (SCI一区, Impact Factor: 5.101)
Hongzhi Liu, Zhonghai Wu, Xing Zhang. CPLR: Collaborative pairwise learning to rank for personalized recommendation, Knowledge-Based Systems, 148: 31-40, 2018? (SCI一区, Impact Factor: 5.101)
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)
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)
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)
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)
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)
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)
许芳芳，杨俊杰，刘宏志*，基于ST-LSTM网络的位置预测，计算机工程，2019，10.19678/j.issn.1000-3428.**
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)? ?
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)
?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)
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部分会议论文
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?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)
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)
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)? ?
?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)
Yingpeng Du, Hongzhi Liu*, Zhonghai Wu, & Xing Zhang. Hierarchical Hybrid Feature Model For Top-N Context-Aware Recommendation. IEEE International Conference on Data Mining (ICDM 2018), Singapore, November 17-20, 2018: 109-116 (CCF B类会议)
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. (CCF B类会议)
Hongzhi Liu, Yingpeng Du, & Zhonghai Wu. Collaborative Probability Metric Learning, The Second APWeb-WAIM Joint Conference on Web and Big Data (APWeb-WAIM 2018), Macau, China, July 23-25, 2018: 198-206. (CCF C类会议)
?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)
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)
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)
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.
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.
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
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
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)
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教材和著作
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刘宏志 编著.《推荐系统》. ISBN: 80. 机械工业出版社. 2020
刘宏志 编著.《数据、模型与决策》. ISBN：46. 机械工业出版社. 2019
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部分发明专利
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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：7.5
?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：6.0?
?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：0.X??
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：3.X
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：4.4
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：6.1
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：9.1
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：8.1，授权日期：2017-05-04
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：0.7，授权日期：2009-06-24?
曹喜信,刘宏志，一种电子桩考系统, 专利号：75，授权日期：2008-03-19
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社会服务
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IEEE会员、ACM会员、CCF会员
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
IEEE Transactions on Knowledge and Data Engineering (TKDE)、Knowledge-Based Systems (KBS)、Neurocomputing、IJPRAI等国际期刊的审稿人
国际期刊Journal of Interconnection Networks编委
