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个人简介

朱东杰:博士,男,1983年出生,哈尔滨工业大学(威海)副教授,硕士生导师。中国计算机学会会员。主持或承担国家重点研发计划国际合作项目子课题、国家自然科学基金、山东重点扶持区域引进急需紧缺人才项目、山东省重点研发计划、泰山蓝色产业领军人才团队支撑计划、科技部国际合作项目、威海市科技发展项目、哈尔滨工业大学创新基金及企业横向课题共20余项。共发表学术论文30余篇,其中SCI论文10余篇,EI论文近20篇。申请发明专利10余项,其中授权3项,获取软件著作权10余项。担任山东省科技专家库专家,山东省政府采购评审专家,威海市校地人才,获得威海市英才卡。 教育经历 2010.09-2014.12 计算机系统结构 哈尔滨工业大学 博士研究生 工作经历 副教授 哈尔滨工业大学(威海) 计算机科学与技术学院

研究领域

大数据分布式系统、大规模知识图谱构建及智能应用 1、内网分布式数据存储系统性能优化:针对数据中心、数据库系统的业务场景和需求,围绕数据访问关联性、设备负载特征、数据内容特征进行性能优化。主要研究内容为:存储系统数据布局研究、存储系统QoS保证技术、数据库系统压缩去重技术等。 区块链系统数据一致性模型优化技术:针对私有链技术的地域分布式特性,结合物联网、云存储等高并发环境,对共识节点的一致性模型、数据传输策略进行优化。主要研究内容为:地理分布式CFT共识优化技术和日志同步技术。 2、知识图谱是一种用图模型来描述知识和建模世界万物之间关联关系的大规模语义网络,是大数据时代知识表示的重要方式之一。随着互联网和物联网技术的飞速发展,为构建大规模、多模态的知识图谱提供了数据支撑,知识图谱已经成为人工智能的重要分支,其应用也从搜索引擎逐步扩展到各个领域,例如推荐系统、智能问答和文本分析、向量检索等。课题组致力于知识图谱的构建、多模态知识图谱的表示学习、基于大模型的知识图谱应用等多方面的研究。

近期论文

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@Sun Y, Zhu D*, Du H, et al. MHNF: Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF-A 中科院一区 Top期刊) D. J. Zhu, Y. Sun, H. Du, N. Cao, T. Baker and G. Srivastava, "HUNA: A Method of Hierarchical Unsupervised Network Alignment for IoT," in IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3201-3210, 1 March1, 2021, doi: 10.1109/JIOT.2020.3020951. (JCR一区 中科院一区 Top期刊) Zhu Dongjie, Du Haiwen*, Sun Yundong, Tian Zhaoshuo, Cao Ning, A data grouping model based on cache transaction for unstructured data storage systems, International Journal of Intelligent Systems, 2021.11 (JCR一区 中科院一区 Top期刊) @Du, Haiwen; Zhu, dongjie*; Sun, yundong; Tian, Zhaoshuo, Leader Confirmation Replication for Millisecond Consensus in Private Chains, IEEE Internet of Things Journal, 2021.09 (JCR一区 中科院一区 Top期刊) Dongjie Zhu, Haiwen Du, Yundong Sun, Ning Cao*. Massive Files Prefetching Model Based on LSMT Neural Network with Cache Transaction Strategy, Computers, Materials & Continua, Vol.63, No.2, pp. 979-993, 2020. Dongjie Zhu, Yundong Sun, Xiaofang Li, Haiwen Du, Rongning Qu, pingping Yu*, Xuefeng Piao, Russell Higgs, Ning Cao. MINE: A method of Multi-Interaction heterogeneous information Network Embedding, Computers, Materials & Continua, Vol.63, No.3, pp.1343-1356, 2020. D. J. Zhu, Y. H. Wang, C. J. You, J. M. Qiu, N. Cao, C. J. Gong, G. H. Yang, and H. M. Zhou, “MMLUP: Multi-Source & Multi-Task Learning for User Profiles in Social Network,” Cmc-Computers Materials & Continua, vol. 61, no. 3, pp. 1105-1115, 2019. S. H. Cao, D. J. Zhu, G. F. Li, Y. W. Zhang, X. N. Fan, S. S. Geng, H. W. Du, and N. Cao*, “Research on scheduling method based on traffic matrix for IoT security,” International Journal of Network Management, Feb 11, 2020. (SCI) Z. Wang, X. Zhang, P. Yu, W. Duan, D. Zhu*, and N. Cao, “A New Face Recognition Method for Intelligent Security,” Applied Sciences, vol. 10, no. 3, pp. 852, 2020. N. Cao, S. F. Li, K. Y. Shen, S. Bin, G. X. Sun, D. J. Zhu, X. L. Han, G. S. Cao, and A. Campbell, “Semantics Analytics of Origin-Destination Flows from Crowd Sensed Big Data,” Cmc-Computers Materials & Continua, vol. 61, no. 1, pp. 227-241, 2019. C. J. You, D. J. Zhu*, Y. D. Sun, A. S. Ye, G. S. Wu, N. Cao, J. M. Qiu, and H. M. Zhou, “SNES: Social-Network-Oriented Public Opinion Monitoring Platform Based on ElasticSearch,” Cmc-Computers Materials & Continua, vol. 61, no. 3, pp. 1271-1283, 2019. D. J. Zhu, H. W. Du, Y. D. Sun, and N. Cao, “Research on Path Planning Model Based on Short-Term Traffic Flow Prediction in Intelligent Transportation System,” Sensors, vol. 18, no. 12, Dec, 2018. D. J. Zhu, Z. C. Fu, and H. S. Chen, “A Prediction Model of Passenger Waiting Time for Relieve Anxiety Psychology,” Basic & Clinical Pharmacology & Toxicology, vol. 118, pp. 51-51, Jun, 2016. B. L. Wang, J. H. Huang, D. J. Zhu*, and X. L. Hou, “A Recommendation System Based on Regression Model of Three-Tier Network Architecture,” International Journal of Distributed Sensor Networks, 2016. D. J. Zhu, Z. C. Fu, and H. S. Chen, “A Short-Term Forecasting Model of Taxi Taking Probability and Waiting Time in Vanet,” Journal of Investigative Medicine, vol. 63, no. 8, pp. S37-S37, Dec, 2015. D. J. Zhu, G. Cui, and Z. C. Fu, “DT-AODV: An On-Demand Routing Protocol based DTN in VANET,” Applied Mathematics & Information Sciences, vol. 8, no. 6, pp. 2955-2963, Nov, 2014. D. Zhu, H. Du, N. Cao, X. Qiao, and Y. Liu, "SP-TSRM: A data grouping strategy in distributed storage system," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 524-531, 2018. (CCF C) D. Zhu, H. Du, Y. Wang, and X. Peng, “An IoT-oriented real-time storage mechanism for massive small files based on Swift,” International Journal of Embedded Systems, vol. 12, no. 1, pp. 72- 80, 2020. (EI期刊) D. Zhu, Y. Sun, N. Cao, X. Qiao, M. Xu, J. Li, and J. Yang, "BDNE: A method of bi-directional distance network embedding," Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019. pp. 158-161. (EI会议) W. Bailing, Z. Dongjie*, H. Junheng, and C. Zhaoqing, “A comprehensive analytical model of user influence in the social networks,” International Journal of Wireless and Mobile Computing, vol. 17, no. 2, pp. 142-148, 2019. (EI期刊) D. Zhu, H. Du, X. Qiao, C. Liu, L. Kong, A. Li, and Z. fu, “An Access Prefetching Strategy for Accessing Small Files Based on Swift,” Procedia Computer Science, vol. 131, pp. 816-824, 2018.(EI会议) M. Dai, and D. Zhu*, "An effective grouping method for unstructured data based on Swift," ACM International Conference Proceeding Series. pp. 34-38. (EI会议) X. Wang, X. Qiao, W. Zhu, Y. Gao, D. Zhu*, and Z. Fu, "Correlation-merge: A small files performance optimization for SWIFT object storage," Advances in Intelligent Systems and Computing. pp. 225-231. (EI会议) D.-J. Zhu, Z.-C. Fu, and H.-S. Chen, “A runtime software as a service model of Java BPM engine for multi-tenancy,” Journal of Computational and Theoretical Nanoscience, vol. 13, no. 2, pp. 1415-1421, 2016. (EI期刊) Zhu D , Cui G , Huang J , et al. The Research of A New Adaptive On-Demand Routing Protocol in WSN[J]. Proceedings of Spie the International Society for Optical Engineering, 2013, 8784.(EI会议) D. Zhu, G. Cui, and J. Huang, “The design of scheduling scheme ADCSA for mobile wireless sensor networks,” Journal of Computational Information Systems, vol. 8, no. 18, pp. 7607-7618, 2012.(EI期刊) D. Zhu, G. Cui, J. Huang, and Z. Zhang, "A new simulation algorithm for simulating biochemistry reaction using agent," Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. pp. 1119-1123. (EI会议) D. Zhu, G. Cui, J. Huang, and Z. Zhang, "A new adaptive hierarchical routing protocol in Wireless Sensor Network," 2nd International Conference on Information Science and Engineering, ICISE2010. pp. 4289-4292. (EI会议) 朱东杰, 崔刚, 傅忠传. 基于动态路径规划的VANET车辆移动模型研究[J]. 高技术通讯(6):573-580. (一级学报)

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