翁小清，男，1965年10月生，西安交通大学计算机科学与技术学科博士，教授，硕士生导师。主持完成了河北省自然科学基金项目《基于流形的多变量时间序列的分类研究》、河北省科技攻关项目《多变量时间序列的异常挖掘研究》，参与完成了国家自然科学基金项目《高维空间海量数据快速聚类算法关键技术的研究》。在国内外重要期刊以及国际会议上发表学术论文30余篇，其中SCI或EI检索论文16篇。
研究方向：数据挖掘、机器学习
发表论文：
[1]单中南,翁小清,马超红.基于2DSVD的多变量时间序列半监督分类,计算机系统应用, 2019, 28(11):153-160.
[2]武天鸿，翁小清，单中南.基于符号表示的时间序列分类综述,河北省科学院学报, 2019(3): 11-20.
[3]单中南，翁小清，武天鸿.基于LPP的时间序列半监督分类,智能计算机与应用, 2019, 9(1):6-13.
[4]单中南,翁小清,马超红.时间序列半监督分类综述,河北省科学院学报, 2018, 35(2): 49-54.
[5]马超红,翁小清.基于PAA的时间序列早期分类,计算机科学, 2018, 45(2): 291-296.
[6] Chaohong Ma, Xiaoqing Weng, Zhongnan Shan. Early Classification of Multivariate Time Series Based on Piecewise Aggregate Approximation. HIS 2017, LNCS 10594, 2017, pp: 81-88.（EI检索:20**3）
[7]马超红，翁小清.时间序列早期分类综述,微型机与应用, 2016(16):13-15.
[8]刘学，翁小清.基于邻域保持嵌入的时间序列聚类融合算法，微型机与应用, 2015(20):48-50.
[9]刘学，翁小清.基于局部线性嵌入的时间序列聚类,河北省科学院学报, 2015(2): 16-21.
[10] Xue Liu, Xiaoqing Weng. Time Series Clustering Ensemble Algorithm Based on Locality Preserving Projection, The 5th International Conference on Computer Engineering and Network (CENet2015), 2015, pp: 1-7.（EI检索: 20**8）
[11] Xiaoqing Weng. Classification of Multivariate Time Series Using Supervised Locality Preserving Projection. Proceedings of the 3rd International Conference on Intelligent Systems Design and Engineering Applications, 2013, pp: 428-431.（EI检索:20**7）
[12] Xiaoqing Weng. Classification of Multivariate Time Series Using Supervised Neighborhood Preserving Embedding. Proceedings of the 25th Chinese Control and Decision Conference (2013 CCDC), 2013, pp:957-961.（EI检索:20**7）
[13] Xiaoqing Weng, Shimin Qin. Classification of Multivariate Time Series Using Supervised Locally Linear Embedding. Proceedings of the 2012 World Congress on Information and Communication Technologies, 2012, pp:1154-1157.（EI检索:20**6）
[14] Xiaoqing Weng, Shimin Qin. Classification of Multivariate Time Series Using Supervised Isomap. Proceedings of the 2012 Third Global Congress on Intelligent Systems, 2012, pp: 136-139.（EI检索: 20**0）
[15] Xiaoqing Weng, Junyi Shen. Classification of multivariate time series using locality preserving projections. Knowledge-Based Systems, 2008, 21(7): 581-587.（SCI检索: 362RC）（EI检索: ）
[16] Xiaoqing Weng, Junyi Shen. Classification of multivariate time series using two-dimensional singular value decomposition. Knowledge-Based Systems, 2008, 21(7):535-539.（SCI检索: 362RC）（EI检索: ）
[17] Xiaoqing Weng, Junyi Shen. Detecting outlier samples in multivariate time series dataset. Knowledge-Based Systems, 2008, 21(8): 807–812.（SCI检索: 384HQ）（EI检索: ）
[18] Xiaoqing Weng, Junyi Shen. Finding Discordant Subsequence in Multivariate Time Series. Proceedings of the IEEE International Conference on Automation and Logistics, 2007, pp: 1731-1735.（EI检索: ）
[19] Xiaoqing Weng, Junyi Shen. Time Series Classification Using Locality Preserving Projections. Proceedings of the IEEE International Conference on Automation and Logistics, 2007, pp: 1392-1397.（EI检索: ）
[20] Xiaoqing Weng, Junyi Shen. Outlier mining for multivariate time series based on local sparsity coefficient. Proceedings of the 6th World Congress on Intelligent Control and Automation, 2006, pp: 5957-5961.（EI检索: ）
[21]翁小清,沈钧毅.多变量时间序列例外模式的识别.模式识别与人工智能，2007，20(3): 336-342 .（EI检索: ）
[22]翁小清,沈钧毅.多变量时间序列异常样本的识别.模式识别与人工智能，2007，20(4): 463-468 .（EI检索: ）
[23]翁小清,沈钧毅.基于聚类的区间数时间序列的索引方法.计算机工程, 2006, 32(22): 4-6.（EI检索: ）
[24]翁小清,沈钧毅.基于滑动窗口的多变量时间序列异常数据的挖掘.计算机工程，2007, 33(12): 102-104.
[25] Xiaoqing Weng, Zhien Ma, H.I. Freedman. Global stability of volterra models with time delay. Journal of Mathematical Analysis and Applications, 1991,160(1): 51-56.（EI检索: ）
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