2019年代表性论文

2019-12-31 10:34:22    来源:系统管理员

2019年代表性论文
序号 论文名称 期刊 时间 作者
1 A distributed data management system to support large-scale data analysis The Journal of Systems & Software 2019 黄哲学
2 Random Sample Partition: A Distributed Data Model for Big Data Analysis IEEE Transactions on Industrial Informatics 2019 黄哲学
3 Radiosynthesis of β-phenylethylamine derivatives for cardiac sympathetic nervous PET imaging Journal of Radioanalytical and Nuclear Chemistry 2019 何玉林
4 A review on clustering algorithms for large-scale data sets Journal of Shenzhen University Science and Engineering 2019 何玉林
5 A new kernel density estimator based on the minimum entropy of data set Information Sciences 2019 何玉林
6 Differential evolution algorithm with dichotomy-based parameter space compression Soft Computing - A Fusion of Foundations, Methodologies and Applications 2019 崔来中
7 Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things IEEE Internet of Things Journal 2019 崔来中
8 An Efficient and Compacted DAG-based Blockchain Protocol for Industrial Internet of Things. IEEE Transactions on Industrial Informatics 2019 崔来中
9 Compacted DAG-based Blockchain Protocol for Industrial Internet of Things IEEE Transactions on Industrial Informatics 2019 崔来中
10 A Decentralized and Trusted Edge Computing Platform for Internet of Things IEEE IoT Journal. 2019 崔来中
11 FISE: A Forwarding Table Structure for Enterprise Networks IEEE Transactions on Network and Service Management 2019 杨术
12 CoDAG: An efficient and compacted DAG-based blockchain protocol IEEE Blockchain 2019 2019 杨术
13 Introduction to the Special Section on Applying Machine Learning Systems for IoT Services in Industrial Informatics Applied Soft Computing Journal 2019 王熙照
14 Seemingly unrelated extreme learning machine Neurocomputing 2019 王熙照
15 Intuitionistic Fuzzy Twin Support Vector Machines IEEE Transactions on Fuzzy Systems 2019 王熙照
16 Seemingly unrelated extreme learning machine Neurocomputing 2019 王熙照
17 Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning Information Sciences 2019 王熙照
18 Fusion of Multi-RSMOTE with Fuzzy Integral to Classify Bug Reports with an Imbalanced Distribution IEEE Transactions on Fuzzy Systems 2019 王熙照
19 Supervised Topic Models for Short Text Emotion Detection IEEE Transactions on Cybernetics 2019 王熙照
20 Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets Knowledge and Information Systems 2019 潘微科
21 Transfer to Rank for Heterogeneous One-Class Collaborative Filtering ACM Transactions on Information Systems 2019 潘微科
22 Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity ACM Transactions on Information Systems 2019 潘微科
23 Neighborhood-Enhanced Transfer Learning for One-Class Collaborative Filtering Neurocomputing 2019 潘微科
24 Transfer to Rank for Top-N Recommendation IEEE Transactions on Big Data 2019 潘微科
25 Transfer to Rank for Heterogeneous One-Class Collaborative Filtering ACM Transactions on Information Systems 2019 潘微科
26 Personalized Recommendation with Implicit Feedback via Learning Pairwise Preferences over Item-sets Knowledge and Information Systems 2019 潘微科
27 Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity [J].  ACM Transactions on Information Systems  2019 潘微科
28 Enhancing Dynamic-Viewport Mobile Applications with Screen Scrolling IEEE Transactions on Mobile Computing 2019 张磊
29 Top-k relevant semantic place retrieval on spatiotemporal RDF dataThe VLDB Journal The VLDB Journa 2019 吴定明
30 Subspace Weighting Co-Clustering of Gene Expression Dat IEEE/ACM Transactions on Computational Biology and Bioinformatics 2019 陈小军
31 Structured Spectral Clustering of PurTree Data DASFAA 2019 陈小军
32 Spectral Clustering of Customer Transaction Data With a Two-level Subspace Weighting Method IEEE Transactions on Cybernetics 2019 陈小军
33 On Spatial-Aware Community Search IEEE  Tramsactoins On Knowledge And Data Engineering  2019 陈小军
34 Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression IEEE  Tramsactoins On Knowledge And Data Engineering  2020 陈小军
35 LABIN: Balanced Min Cut for Large-scale Data IEEE Transactions on Neural Networks and Learning Systems 2020 陈小军

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博士生导师

  • 黄哲学

    黄哲学

    黄哲学 广东省领军人才 深圳大学特聘教授 国家信息中心大数据研究院院长 深圳大学大数据与应用研究所所长
  • 黄哲学

    PHILIPPE FOURNIER-VIGER

    I got my Ph.D from the U. of Quebec in Montreal (2010). Then, I worked at U. of Moncton, Canada (2011-2015) and Harbin Institute of Techn. (2015-2021). I am associate editor-in-chief of Applied Intelligence (SCI, Q1) and editor-in-chief of Data Science and Pattern Recognition. I have founded the SPMF data mining library, cited in more than 1,000 papers. Research interests:Data Mining, Big Data, Artificial Intelligence, Pattern Mining, Itemset Mining, Graph Mining, Sequence Prediction.
  • 黄哲学

    王熙照

    王熙照,博士,教授,博士生导师,IEEE Fellow,Springer杂志Machine Learning and Cybernetics主编。 1998年毕业于哈尔滨工业大学计算机系,获工学博士学位(计算机应用专业);1998年至2001年赴香港理工大学计算学系合作研究,任研究员(Research Fellow);2000年10月至2014年3月任河北大学数学与计算机学院院长,2007年10月至2014年3月任河北省机器学习与计算智能重点实验室主任;2013年9月至11月加拿大Simon Fraser大学访问教授(Visiting Professor),2013年12月至2014年1月加拿大Alberta大学访问教授;2014年7月至9月澳大利亚New South Wales大学访问教授;2014年3月至今任深圳大学计算机与软件学院教授、大数据研究所副所长。

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