刘宏志 - 北京大学 - 软件与微电子学院

个人简介

已在JMLR、ACM TACO、PR、KBS、IJCAI、AAAI、WWW、WSDM、EMNLP等国际知名期刊和会议上发表学术论文60多篇，并编著出版教材3本。已申请专利10多项。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。多次应邀担任AAAI、IEEE CEC、IEEE ICCI*CC、ICIC、I-SPAN、ICSS等国际会议的Co-Chair、Session Chair和PC Member。是TKDE、KBS、DMKD、Machine Learning等国际知名期刊的审稿人，国际期刊Journal of Interconnection Networks编委。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。

研究领域

推荐系统量化投资数据分析及应用机器学习理论及应用

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Hongzhi Liu, Yingpeng Du, Zhonghai Wu. Generalized Ambiguity Decomposition for Ranking Ensemble Learning [J]. Journal of Machine Learning Research, 23(88):1-36, 2022 (http://jmlr.org/papers/v23/20-843.html) (CCF A类国际期刊) Hongzhi Liu, Jie Luo, Ying Li, Zhonghai Wu. Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering [J]. ACM Transactions on Architecture and Code Optimization, 19(1), Article No.: 2, pp 1–25, 2022 (https://doi.org/10.1145/3480250) (CCF A类国际期刊) Hongzhi Liu, Yingpeng Du, Zhonghai Wu. AEM: Attentional Ensemble Model for Personalized Classifier Weight Learning, Pattern Recognition, 96, 10697: 1-8, 2019 (中科院一区, Top期刊，Impact Factor: 8.518) 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 (中科院一区, Top期刊，Impact Factor: 8.139) Hongzhi Liu, Zhonghai Wu, Xing Zhang. CPLR: Collaborative pairwise learning to rank for personalized recommendation, Knowledge-Based Systems, 148: 31-40, 2018 (中科院一区, Top期刊，Impact Factor: 8.139) 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，Impact Factor: 1.014) 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, SCI) 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 (JCR二区,Impact Factor: 4.757) 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 (JCR二区, Impact Factor:4.757) 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: 3.13) 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 (CCF A类中文期刊)