科研成果-Pulications

著作与著作章节

朱焱. 大数据智慧管理与分析之技术和实践——从数据仓库/OLAP到NoSQL和NewSQL. 西南交通大学出版社,成都, 2019

朱焱. Web X.0环境下的万维网服务技术与实践. 西南交通大学出版社,成都, 2011

朱焱.  高速列车耦合大系统动力学理论与实践. 科学出版社,北京, 2013 （《第三章 高速列车耦合大系统动力学仿真平台》主要撰写人）

Yan Zhu. Integrating External Data from Web Sources into a Data Warehouse for OLAP and Decision Making. SHAKER Verlag, Aachen, Germany, 2004

X. Zhuang, Y. Zhu. Cryptanalysis of T-function Based Ultralightweight RFID Authentication Protocols. 收录于文集： Progress on Crytography - 20 Years of Cryptography in Taiwan. McGraw-Hill International Enterprises,Taiwan, 2014

近年的论文选列（第一作者和通讯作者）

• Lei Wang，Yan Zhu，Qiang Peng. TNSEIR: A SEIR pattern-based embedding approach for temporal network. Applied Intelligence, 53(20):24202-24216,October 2023. (SCI）

• Li Huang, Yan Zhu.A Heterogeneous Network Representation Learning Approach for Academic Behavior Prediction. DEXA2022, Austria, 22-24 August, 2022.（EI）

• Jia-Qing Wang, Yan Zhu, Huan He, Chun-Ping Li. Less is More: Feature Choosing under Privacy-Preservation for Efficient Web Spam Detection. DEXA2021, Austria, Sept, 2021. (EI)

• Xu Zhuang,Yan Zhu, Qiang Peng, Faisal Khurshid. Using deep belief network to demote web spam. Future generation Computer systems. 118(2021): 94-106. (SCI)

• Rong Wang, Benjamin C. M. Fung, Yan Zhu, Qiang Peng.Differentially private data publishing for arbitrarily partitioned data. Information Sciences, 553(2021):247-265. (SCI)

• Cheng Cheng, Chunping Li, Yongfang Han, Yan Zhu. A semi-supervised deep learning image caption model based on Pseudo Label and N-gram. International Journal of Approximate Reasoning. 131(2021): 93-107. (SCI)

• Rong Wang, Benjamin C.M. Fung, Yan Zhu. Heterogeneous data release for cluster analysis with differential privacy. Knowledge-Based Systems. 201-202:106047, 2020. (SCI) 

• Rong Wang, Yan Zhu, Chin-Chen Chang, Qiang Peng. Privacy-Preserving High-dimensional data publishing for classification. Computer & Security, Vol 93:101785, June 2020. (SCI)

• Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao.Learning multilingual topics with neural variational inference.  International Conference on Natural Language Processing and Chinese Computing (NLPCC) 2020: 840-851. 

• Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao. Short text topic modeling with topic distribution quantization and negative sampling decoder. International Conference on Empirical Methods on Natural Language Processing (EMNLP) 2020: 1772-1782. (EI)

• Liangqiang Huang, Yan Zhu, Xin Wang, Faisal Khurshid. An Attribute-Based Fine-Grained Access Control Mechanism for HBase. DEXA2019, Austria, Aug 2019. (EI)

• Jiefan Tan, Yan Zhu, Qiang Du. Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection. DEXA2019, Austria, Aug 2019. (EI)

• Faisal Khurshid,Yan Zhu, Xu Zhuang, Mushtaq Ahmad, Muqeet Ahmad. Enactment of Ensemble Learning for Review Spam Detection on Selected Features.International Journal of Computational Intelligence Systems. 12(1):387-394, 2019.(SCI)

• Rong Wang,Yan Zhu, Tung-Shou Chen, Chin-Chen Chang. Privacy-Preserving Algorithms for Multiple Sensitive Attributes Satisfying t-Closeness. Journal of Computer Science and Technology. 33(6):1-12, 2018.(SCI)

• Rong Wang,Yan Zhu, Tung-Shou Chen, Chin-Chen Chang. An Authentication Method Based on the Turtle Shell Algorithm for Privacy-Preserving Data Mining. The Computer Journal. 61(8): 1123–1132, 2018.(SCI)

• Xu Zhuang,Yan Zhu, Chin-Chen Chang, Qiang Peng. Security Issues in Ultralightweight RFID Authentication Protocols. Wireless Personal Communications. 98(1):779-814, 2018. (SCI)

• Xu Zhuang,Yan Zhu, Chin-Chen Chang, Qiang Peng. A Unified Score Propagation Model for Web Spam Demotion Algorithm. Information Retrieval Journal. 20(6):547-574, 2017.(SCI)

• Xu Zhuang,Yan Zhu, Chin-Chen Chang, Qiang Peng. Feature Bundling in Decision Tree Algorithm, Intelligent Data Analysis. 21(2):371-383,2017. (SCI)

• Sha Wei, Yan Zhu.Cleaning out Web Spam by Entropy-based Cascade Outlier Detection. DEXA2017, France, Aug 2017. (EI)

• Rong Wang, Yan Zhu, Jiefan Tan, Binbin Zhou. Detection of Malicious Web Pages Based on Hybrid Analysis. Journal of Information Security and Applications. 35:68-74, 2017. (SCI)

• Faisal Khurshid,Yan Zhu. Recital of Supervised Learning on Review Spam Detection: An Empirical Analysis. The 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2017), China, Nov. 2017. (EI)

• 王海涵、朱焱. 融合反讽机制的攻击性言论检测. 计算机应用, 2023. (已录用，中文核心）

• 罗俊豪、朱焱. 用于未对齐多模态语言序列情感分析的多交互感知网络. 计算机应用, 2023. (已录用，中文核心）

• 杜郁、朱焱. 构建预训练动态图神经网络预测学术合作行为消失. 计算机应用, 2023. (已录用，中文核心）

• 林欣蕊、王晓菲、朱焱. 基于局部扩展社区发现的学术异常引用群体检测. 计算机应用, 2023.(已录用，中文核心）

• 刘红、朱焱、李春平. 基于关系的跨网络用户身份链接. 计算机工程与设计. 2023,44（6）：1649-1655（中文核心）
  

• 刘红、朱焱、李春平. 融合多类时空轨迹特征的跨网络用户身份识别.计算机科学. 2023,50（3）：114-120（中文核心）

• 杜强、朱焱. 选择多模态组特征提升社交媒体谣言检测性能. 计算机应用与软件. 2023,40（12）：195-201 （中文核心）

• 黄丽、朱焱、李春平. 基于异构网络表征学习的作者学术行为预测.计算机科学. 2022,49（9）：76-82（中文核心）

• 李明娟、朱焱、李春平.基于差分隐私保护和近邻优化的微博僵尸用户检测.计算机应用与软件. 2022,39（5):54-59 （中文核心）

• 樊佳锦、朱焱.  基于分类重要性与隐私约束的K-匿名特征选择.计算机应用与软件. 2022,39（6): 5-39 （中文核心）
  

• 郭明、朱焱. 基于非线性核的SVM模型可视化策略. 计算机应用与软件. 2022,39(2)：32-37+127 (中文核心）

• 何欢、朱焱、李春平. 基于传播时空特性的社交网络灰帽用户检测. 计算机工程.2021,47(12):192-199 （中文核心）

• 张人之、朱焱. 基于主动学习的社交网络恶意用户检测方法. 计算机科学. 2021,48(6):332-337 (中文核心)

• 陶霄、朱焱、李春平. 基于注意力和多模态混合融合的谣言检测方法. 计算机工程. 2021,47(12):71-77 （中文核心)

• 颜仕雄、朱焱、李春平. 基于多头注意力机制的社交网络符号预测.计算机应用研究. 2021,38(05):1360-1364 （中文核心）

• 李浩、朱焱. 基于梯度分布调节策略的Xgboost算法优化. 计算机应用, 2020,No.6:1633-1637（中文核心）

• 黄良强、朱焱、陶霄.  基于HBase的细粒度访问控制方法研究. 计算机应用研究，2020年第3期，pp824-828（中文核心）

• 黄梅、朱焱. 基于随机森林特征重要性的K-匿名特征优选. 计算机应用与软件，2020年第3期，PP266-270 (中文核心）

• 王嘉卿、朱焱、陈同孝、张真诚. 优选特征高效打击网页欺诈.计算机应用，2018，38(1):295-299 （中文核心）

• 谭洁帆、朱焱、陈同孝、张真诚.基于卷积神经网络和代价敏感的不平衡图像分类方法. 计算机应用,2018, 38(7):1862-1865+1871 （中文核心)

学术报告

• Less is More: Feature Choosing under Privacy-Preservation for Efficient Web Spam Detection. DEXA2021,  Sept. 2021.
  

• An Attribute-Based Fine-Grained Access Control Mechanism for HBase. DEXA2019, Linz, Austria, Aug 2019.

• Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection. DEXA2019, Linz, Austria, Aug 2019.

• Cleaning out Web Spam by Entropy-based Cascade Outlier Detection.The 28th International Conference on Database and Expert Systems Applications (DEXA 2017 ). France Lyon, Aug.27-Sep. 1,2017.

• Blocking Web Spam by Entropy-based Cascade Outlier Detection. Department of Computer Science, Georgia State University, USA, Sep.3,2016.

学术交流访问

• May 9~13,2023: University of Leeds, UK

• August 25~31,2019: Johannes Kepler University Linz, Austria

• September 18 ~ October 1,2018: Technical University of Braunschweig; Ostfalia University of Applied Sciences; Albert-Ludwig University of Freiburg, Germany

• Feburary 12~16,2018: Harvard University; Massachusetts Institute of Technology (MIT); IBM, USA

• Feburary 06~09,2018: Georgia State University; Georgia Institute of Technology, USA

• August 27 ~ September 01,2017: Université Jean Moulin-Lyon 3（里昂第三大学）, France

• March 03~19, 2017: Leeds University, United Kingdom

• September 02~17,2016: Georgia State University; Northwestern University, USA

• February 02~12,2016: Politecnico di Torino （都灵理工）, Italy

• December 12~14, 2014: 逢甲大学（Feng Chia University); 东海大学（Tunghai Univerisity），台中

• September 01~04,2014: Ludwig Maximilian University of Munich, Darmstadt University of Technology, Germany

专业领域服务

• 国际会议技术程序委员会委员:  DEXA (2011-2023),IEEE ICEBE (2015,2018-2021),ICS2014, IEEE CSAE (2012-2013)

• 国际期刊评审专家：

        Information Sciences

        Expert Systems with Applications
  

        Transactions on Knowledge and Data Engineering

        Sustainable Cities and Society

        Journal of Information Security and Applications
  

        The Journal of Supercomputing
  

        The Computer Journal

        Artificial Intelligence Review

        Pattern Recognition Letters
  

        IEEE Access
  

        Transactions on Large-Scale Data- and Knowledge-Centered Systems(TLDKS)

        Journal of Universal Computer Science(J. UCS)

        Information Systems Journal (ISJ)

        Recent Patents on Computer Science

        Advances in Information Sciences and Service Sciences(AISS)

• 评审专家： 国家自然科学基金（面上项目、青年项目）；霍英东青年教师基金和霍英东青年教师奖；国家留学基金委留学项目；四川省发改委咨询中心；成都市科技评估中心。