陈小军 - 深圳大学 - 计算机与软件学院

个人简介

陈小军，深圳大学大数据技术与应用研究所助理所长。2008年-2009 年，在香港大学电子商务科技研究所(ETI)任研究助理。曾参与过多项国家863项目以及中国科学院战略性先导科技专项。领导开发开源数据挖掘平台AlphaMiner v1.1-v2.5版本，在国内外多所学校做教学软件使用。2010年开始，领导开发AlphaMiner云计算版本，并在2010及2011年深圳中国国际高新技术成果交易会予以展示。曾参与中科院战略先导专项开发了基于互联网的云计算大数据挖掘平台。从事数据挖掘、机器学习研究十余年，在相关的国际学术期刊和会议上发表SCI/EI检索论文近50篇，包括CCF A 类/一区论文20余篇（发表在KDD、ICCV、IJCAI、AAAI、SIGIR、TKDE，TNNLS上），CCF B/C类论文十余篇。主要研究内容涉及聚类算法、特征选择算法、有监督及半监督学习算法、基因数据聚类分析及图像分析等。

研究领域

Research Interests:Machine Learning , data mining , large-scale data mining

近期论文

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2018 [1] Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He,Min Yang and Joshua Zhexue Huang. Spectral Clustering of Large-scale Data byDirectly Solving Normalized Cut. KDD2018: 1206-1215. [2] Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang and Joshua Z.Huang. Local Adaptive Projection Framework for Feature Selection of Labeled andUnlabeled Data. IEEE TNNLS, doi:10.1109/TNNLS.2018.2830186. [2] Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao andJoshua Zhexue Huang. PurTreeClust: A Clustering Algorithm for CustomerSegmentation from Massive Customer Transaction Data. IEEE TKDE, 30(3): 559-572 (2018). [3] Xiaojun Chen, Joshua Zhexue Huang and Zhong Ming: TWCC: Automated Two-way Subspace Weighting PartitionalCo-Clustering. PatternRecognition, 76: 404-415 (2018). [4] Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang. Subspace Weighting Co-Clustering of Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF C), doi: 10.1109/TCBB.2017.2705686. [5] Xiaojun Chen, Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang and Yunming Ye. Spectral Clustering ofCustomer Transaction Data With a Two-level Subspace Weighting Method. IEEE Transactions on Cybernetics, doi:10.1109/TCYB.2018.2836804. [6] Min Yang, Xiaojun Chen*, Ziyu Lu and Wenting Tu. A Topic Drift Model for Authorship Attribution, Neurocomputing, 273: 133-140 (2018. 2017 [1] Xiaojun Chen et al. A Self-Balanced Min-cut Algorithm for Image lustering. ICCV 2017. [2] Xiaojun Chen, Feiping Nie, Guowen Yuan, Joshua Zhexue Huang. Semi-supervised Feature Selection via Rescaled Linear Square Regression. IJCAI 2017: 1525-1531. [3] Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang. Scalable Normalized Cut with Improved Spectral Rotation. IJCAI 2017: 1518-1524. [4] Xiaojun Chen, Si Peng, Joshua Zhexue Huang, Feiping Nie and Yong Ming. Local PurTree Spectral Clustering for Massive Customer Transaction Data. IEEE Intelligent Systems, (2), 37-44, 2017. [5] Min Yang, Jincheng Mei, Heng Ji, zhao wei, Zhou Zhao and Xiaojun Chen*. Identifying and Tracking Location-based Sentiment and Topic from Social Media Texts. EMNLP 2017. [6] Min Yang, Zhou Zhao, Wei Zhao, Xiaojun Chen, Jia Zhu and Lianqiang Zhou.Personalized Response Generation via Domain adaptation. SIGIR 2017 :1021-1024.[7] Min Yang, Wenting Tu, Ziyu Lu, Xiaojun Chen and Fei Xu. Detecting Review Spammer Groups. AAAI 2017: 5011-5012. [8] Min Yang, Wenting Tu, JingxuanWang, Fei Xu, Xiaojun Chen. LSTM for Target-dependent Sentiment Classification. AAAI 2017: 5013-5014. 2016 [1] Xiaojun Chen, Joshua Zhexue Huang and Jun Luo. PurTreeClust: A Purchase Tree Clustering Algorithm for Large-scale Customer Transaction Data. 32th International Conference on Data Engineering, 2016: 661-672. [2]Salman Salloum, Ruslan Dautov, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang. Big data analytics on Apache Spark. International Journal of Data Science and Analytics，1(3)：145-164, 2016. [3]He Zhao, Xiaojun Chen, Tung Nguyen, Joshua Zhexue Huang, Graham J.Williams and Hui Chen. Stratified Over-sampling Bagging for Random Forests on Imbalanced Data. PAKDD PAISI 2016: 63-72. 2014 [1] Yeshou Cai, Xiaojun Chen, Patrick Xiaogang Peng and Joshua Zhexue Huang. A LDA Feature Grouping Method for Subspace Clustering of Text Data. PAKDD PAISI 2014: 78-90. 2013 [1] Xiaojun Chen, Xiaofei Xu, Yunming Ye and Joshua Zhexue Huang. TW-k-means: Automated Two-level Variable Weighting Clustering Algorithm for Multi-view Data. IEEE Transactions on Knowledge and Data Engineering, 2013, 25(4): 932-944. Paper: TW-k-means.pdf Code：download R package from https://cran.r-project.org/web/packages/wskm/index.html，and run twkm [2] Xiaojun Chen, Yunming Ye, Xiaofei Xu and Joshua Zhexue Huang. A Feature Group Weighting Method for Subspace Clustering of High-Dimensional Data. Pattern Recognition, 2012, 45(1): 434-446. [3] Bingguo Li, Xiaojun Chen, Mark Junjie Li, Zhexue Joshua Huang and Shengzhong Feng. Scalable Random Forests for Massive Data. PAKDD 2012, 7301: 135-146. [4] Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang and Shengzhong Feng. Scalable Subspace Logistic Regression Models for High Dimensional Data. APWeb 2012, 7235: 685-694. [5] Xiaojun Chen, Yunming Ye, Graham Williams and Xiaofei Xu. A Survey of Open Source Data Mining Systems. PAKDD 2007 industrial track workshop: 3-14. [6] Yunming Ye, Joshua Huang, Xiaojun Chen, Shuigeng Zhou, Graham Williams and Xiaofei Xu. Neighborhood Density Method for Selecting Initial Cluster Centers in K-means Clustering. PAKDD 2006, 3918:189-198.