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,瑞典皇家理工学院博士、深圳大学特聘教授、博士生导师,深圳大学大数据技术与应用研究所所长、大数据系统计算技术国家工程实验室副主任,首批广东省领军人才、深圳孔雀计划高层次人才,斯坦福大学全球“终身科学影响力排行榜”前2%顶尖科学家。符号数据快速聚类算法研究的开拓者,发表了k-modes等一系列著名聚类算法,被纳入国内外教科书和专著,进入软件产品。发表学术论文250多篇,主要论文被引用超万次。领导开发了全球首个面向算力网络的多数据中心大数据协同计算系统Octopus,最近获深圳第二十五届中国国际高新技术成果交易会“优秀产品奖”和“华为杯”第五届中国研究生人工智能创新大赛“一等奖”。
  • 黄哲学

    崔来中

    2007年6月于吉林大学获工学学士学位,同年被免试推荐直接攻读博士研究生,2012年6月于清华大学获计算机科学与技术博士学位。研究领域包括:下一代互联网体系结构、软件定义网络、边缘计算、大数据分析、机器学习和智能计算。国际电子工程师学会高级会员(IEEE Senior Member),中国计算机学会高级会员(CCF Senior Member),人工智能学会(CAAI)会员,CCF互联网专委会常委,CCF大数据专家委员会委员、CCF区块链专委会委员,CAAI知识工程与分布智能委员会副秘书长。担任SCI期刊《International Journal of Machine Learning and Cybernetics》、《International Journal of Bio-Inspired Computation 》和《Ad Hoc and Sensor Wireless Networks》的副编辑/编委。已主持国家重点研发计划课题、国家自然科学基金,广东省自然科学基金,广东省育苗工程,深圳市基础研究计划项目等项目10多项。已在国内外重要期刊以及国际会议上发表SCI/EI检索论文80余篇。《计算机网络》课程负责人,课程入选广东省一流本科课程。入选广东省青年珠江学者,深圳市优青、深圳市高层次人才和深圳大学“荔园优青”人才培养计划。
  • 黄哲学

    陈梓楠

    陈梓楠(博士,国家海外优青,IEEE会员,ACM会员)现在担任深圳大学计算机与软件学院特聘教授。在研期间一共发表了顶级会议和期刊将近30篇论文,其中CCF A类论文有19篇(第一作者有12篇),主持了国家自然科学优秀青年(海外)项目1项和国家自然科学青年基金项目1项。此外,陈老师也是各大国际会议(包括:VLDB 2022 - 2024 (demo track)、VLDB 2025 (research track)、SIGKDD 2024 、ICDE 2022和2024、EDBT 2023、IJCAI 2020、DASFAA 2021 - 2024和WISE 2019 - 2024)和国际期刊(包括:VLDBJ、TKDE、AIJ、IEEE Transactions on Computers (TC)、WWWJ、 TSAS 、TNSE、PR Journal、DKE、JCST、The Journal of Supercomputing等等)的审稿人,并担任MDM 2021 - 2024的会议论文集主席 (proceedings chair)。

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