2018年代表性论文发表

2018-12-31 16:02:20    来源:系统管理员

2018年代表性论文
序号 论文名称 期刊 时间 作者
1 Determining the optimal temperature parameter for Softmax function in reinforcement learning Applied Soft Computing  2018 黄哲学
2 I-nice: A new approach for identifying the number of clusters and initial cluster centres Information Sciences 2018 黄哲学
3 An Algorithm for Clustering Categorical Data With Set-Valued Features IEEE Transactions on Neural Networks and Learning Systems 2018 黄哲学
4 Cluster Survival Model of Concept Drift in Load Profile Data IEEE Access 2018 黄哲学
5 A novel binary artificial bee colony algorithm for the set-union knapsack problem Future Generation Cpmputer Systems- The Internationa Jouranal of Escience  2018 王熙照
6 A review on neural networks with random weights Neurocomputing 2018 王熙照
7 Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification IEEE Transactions on Cybernetics 2018 王熙照
8 Non-iterative approaches in training feed-forward neural networks and their applications Soft Computing  2018 王熙照
9 A deep stochastic weight assignment network and its application to chess playing Jouranal Of Parallel And Distributed Computing 2018 王熙照
10 Sensitivity of data matrix rank in non-iterative training Neurocomputing 2018 王熙照
11 Three-way decisions, concept lattice and granular computing:Editorial Future Generation Cpmputer Systems- The Internationa; Jouranal of Escience  2018 王熙照
12 A Topic Drift Model for authorship attribution Neurocomputing 2018 陈小军
13 PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data IEEE  Tramsactoins On Knowledge And Data Engineering  2018 陈小军
14 TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering Pattern Recognition 2018 陈小军
15 Supervised Feature Selection With a Stratified Feature Weighting Method IEEE Access 2018 陈小军
16 Feature-enhanced attention network for target-dependent sentiment classification Neurocomputing 2018 陈小军
17 Semi-supervised Feature Selection via Sparse Rescaled Linear Square Regression IEEE TKDE 2018 陈小军
18 Spectral Clustering of Customer Transaction Data With a Two-level Subspace Weighting Method IEEE Transactions on Cybernetics 2018 陈小军
19 Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data IEEE TNNLS 2018 陈小军
20 Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut KDD 2018 陈小军
21 Feature-enhanced Attention Network for Target-dependent Sentiment Classification Neurocomputing 2018 陈小军
22 Semi-supervised Feature Selection with Adaptive Discriminant Analysis AAAI  2018 陈小军
23 A Stratified Feature Ranking Method for Supervised Feature Selection AAAI  2018 陈小军
24 Discriminative Supervised Feature Selection via Rescaled Least Squares Regression AAAI  2018 陈小军
25 On Spatial-Aware Community Search IEEE TKDE 2018 陈小军
26 Multitask Learning for Cross-domain Image Captioning IEEE Transactions on Multimedia 2018 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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