简介：

男，河北工业大学，博士，教授，博士生导师。中国计算机学会杰出会员； IEEE高级会员；中国自动化学会会员；美国佛蒙特大学和莱特州立大学访问学者（2009.8-2010.8, UVM; 2015.10-2016.10, WSU）。AI专委会执行委员、DB专委会执行委员、计算机应用专委会常委(2021-2023)。主要研究兴趣：数据挖掘和机器学习。

 

项目及获奖情况：

先后主持国家自然基金面上项目3项，河北省自然科学基金项目、河北省科学技术研究与发展指导计划项目、河北省教育厅重点项目等项目；先后获得河北省或天津市科技进步二、三等奖共5项（先后获得天津市科技进步三等奖（2008年）；2022年获得河北省科技进步二等奖；2018年获得天津市科技进步二等奖；此外，获得河北省科技进步三等奖（1999年和2002年）和河北省教学成果二等奖（2000年）；河北省优秀博士论文指导教师（2024年）；河北省优秀硕士论文指导教师（2014年、2015年、2018年、2022年）。

研究生指导情况：

先后指导1名博士研究生获评首届中国科协青年人才托举工程博士生专项计划；

指导1名博士研究生获评河北省优秀博士学位论文；

指导1名博士研究生获评河北省优秀毕业生；

4名硕士研究生获评河北省优秀硕士学位论文（2014年孙乐硕士获评河北省优秀硕士学位论文； 2015年刘亚伟硕士获评河北省优秀硕士学位论文； 2018年仝瑶硕士获评河北省优秀硕士学位论文； 2022年袁朱硕士获评河北省优秀硕士学位论文）；

 

社会服务情况：

国家自然基金函评专家（重点项目、面上项目、青年项目、地区项目），多省市自然科学基金及自然科学奖和科技进步奖的函评或会评专家；

International Journal of Intelligent Systems 期刊（SCI 二区）AE；

30+SCI期刊评审专家；

 

论文论著发表情况：

第一作者或通讯作者在国内外知名刊物发表论文40余篇，这些期刊包括： IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Cybernetics、Science China Information Sciences、ACM Transactions on Knowledge Discovery in Data、ACM Transactions on Management Information Systems、ACM Transactions on Intelligent Systems and Technology、Journal of Computer Science and Technology、Information Sciences、Knowledge-Based Systems、Expert Systems With Applications、Neurocomputing、Applied Intelligence、Journal of Information Sciences、计算机学报、软件学报、通信学报（其中IEEE TKDE、IEEE TCYB、SCIS、ACM TKDD、ACM TMIS、ACM TIST和中国科学院Top期刊发表论文30余篇）；科学出版社出版专著1部；普通高等教育“十一五”国家级规划教材主编1本。

个人主页：https://github.com/wuc567/Wu-Youxi/blob/master/index.md

联系方式：wuc567 at 163 dot com

 

论文列表：

[1] Yan Li, Zhulin Wang, Jing Liu, Lei Guo, Philippe Fournier-Viger, Youxi Wu, and Xindong Wu. Mining repetitive negative sequential patterns with gap constraints, ACM Transactions on Knowledge Discovery from Data, 2025, DOI: 10.1145/3716390 codes: https://github.com/wuc567/Pattern-Mining/tree/master/NSPG-Miner

[2] Zhongping Zhang, Daoheng Liu, Jinwei Zhu, Youxi Wu. Unsupervised Outlier Detection with Reinforced Noise Discriminator. ACM Transactions on Intelligent Systems and Technology. https://doi.org/10.1145/3706117

[3] Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu. COPP-Miner: Top-k contrast order-preserving pattern mining for time series classification. IEEE Transactions on Knowledge and Data Engineering, 36(6): 2372-2387 (2024) DOI: 10.1109/TKDE.2023.3321749 Java codes: https://github.com/wuc567/Pattern-Mining/tree/master/COPP-Miner

[4] Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu. RNP-Miner: Repetitive nonoverlapping sequential pattern mining. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(9): 4874 - 4889, DOI: 10.1109/TKDE.2023.3334300 Python codes: https://github.com/wuc567/Pattern-Mining/tree/master/RNP-Miner

[5] Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu. COP-Miner: Co-occurrence order-preserving pattern mining with keypoint alignment for time series prediction. ACM Transactions on Management Information Systems, 2024, 15(2): 9 (2024), DOI: 10.1145/3658450. codes: https://github.com/wuc567/Pattern-Mining/tree/master/COP-Miner

[6] Wei Song, Zhen Sun, Philippe Fournier-Viger, Youxi Wu. MRI-CE: Minimal rare itemset discovery using the cross-entropy method. Information Sciences, 2024, 665, 120392

[7] Yan Li, Chenyu Ma, Rong Gao, Youxi Wu*, Jinyan Li*, Wenjian Wang, Xindong Wu. OPF-Miner: Order-preserving pattern mining with forgetting mechanism for time series. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12): 8981-8995. codes: https://github.com/wuc567/Pattern-Mining/tree/master/OPF-Miner

[8] Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu. OPP-Miner: Order-preserving sequential pattern mining for time series. IEEE Transactions on Cybernetics, 2023, 53 (5): 3288-3300. DOI: 10.1109/TCYB.2022.3169327 C++ codes: https://github.com/wuc567/Pattern-Mining/tree/master/OPP-Miner

[9] Youxi Wu, Mingjie Chen, Yan Li, Jing Liu, Zhao Li, Jinyan Li, Xindong Wu. ONP-Miner: One-off negative sequential pattern mining. ACM Transactions on Knowledge Discovery in Data, 2023, 17(3): 37. doi: 10.1145/3549940 C++ codes: https://github.com/wuc567/Pattern-Mining/tree/master/ONP-Miner

[10] Youxi Wu, Shuhui Cheng, Yan Li, Rongjie Lv, Fan Min. STWD-SFNN: Sequential three-way decisions with a single hidden layer feedforward neural network. Information Sciences, 2023, 632: 299-323.

[11] Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu. OPR-Miner: Order-preserving rule mining for time series. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(11): 11722-11735. 10.1109/TKDE.2022.3224963 C++ codes: https://github.com/wuc567/Pattern-Mining/tree/master/OPR-Miner

[12] Yan Li, Chang Zhang, Jie Li, Wei Song, Zhenlian Qi, Youxi Wu*, Xindong Wu. MCoR-Miner: Maximal co-occurrence nonoverlapping sequential rule mining. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(9): 9531-9546.  DOI: 10.1109/TKDE.2023.3241213 C++ codes: https://github.com/wuc567/Pattern-Mining/tree/master/MCoR-Miner

[13]Youxi Wu, Lanfang Luo, Yan Li, Lei Guo, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu. NTP-Miner: Nonoverlapping three-way sequential pattern mining. ACM Transactions on Knowledge Discovery from Data, 2022, 16(3): 51. doi.org/10.1145/3480245 PDF, C++ codes: https://github.com/wuc567/Pattern-Mining/tree/master/NTP-Miner

[14]Youxi Wu, Yuehua Wang, Yan Li, Xingquan Zhu, Xindong Wu. Top-k self-adaptive contrast sequential pattern mining. IEEE Transactions on Cybernetics, 2022, 52(11): 11819-11833. DOI: 10.1109/TCYB.2021.3082114

[15]Youxi Wu, Zhu Yuan, Yan Li, Lei Guo, Philippe Fournier-Viger, Xindong Wu. NWP-Miner: Nonoverlapping weak-gap sequential pattern mining. Information Sciences, 2022, 588: 124-141. https://doi.org/10.1016/j.ins.2021.12.064

[16]Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, Zhao Li. DBC-Forest: Deep forest with binning confidence screening. Neurocomputing. 2022, 475: 112-122. DOI: 10.1016/j.neucom.2021.12.075

[17]Yuehua Wang, Youxi Wu, Yan Li, Fang Yao, Philippe Fournier-Viger, Xindong Wu. Self-adaptive nonoverlapping sequential pattern mining. Applied Intelligence. 2021, 52(6): 6646–6661. , DOI: 10.1007/s10489-021-02763-y PDF, C++ or PYTHON codes: https://github.com/wuc567/Pattern-Mining/tree/master/SNTP-Miner

[18]Yan Li, Shuai Zhang, Lei Guo, Jing Liu, Youxi Wu*, Xindong Wu. NetNMSP: Nonoverlapping maximal sequential pattern mining. Applied Intelligence, 2022, 52 (9): 9861–9884. DOI: 10.1007/s10489-021-02912-3 https://github.com/wuc567/Pattern-Mining/tree/master/NetNMSP

[19]Yan Li, Lei Yu, Jing Liu, Lei Guo, Youxi Wu*, Xindong Wu. NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition. Applied Intelligence, 2022, 52(11): 12155-12174. DOI: 10.1007/s10489-021-03000-2

[20]Youxi Wu, Xiaohui Wang, Yan Li, Lei Guo, Zhao Li, Ji Zhang, Xindong Wu. OWSP-Miner: Self-adaptive one-off weak-gap strong pattern mining. ACM Transactions on Management Information Systems, 2022, 13(3): 25. DOI: 10.1145/3476247, PDF, C++ or PYTHON codes: https://github.com/wuc567/Pattern-Mining/tree/master/OWSP-Miner

[21]Youxi Wu, Bojing Jian, Yan Li, He Jiang, Xingdong Wu. NetNDP: Nonoverlapping (delta, gamma)-approximate pattern matching. Intelligent Data Analysis, 2022, 26(6): 1661-1682. DOI: 10.3233/IDA-216325

[22] Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu. HW-Forest: Deep forest with hashing screening and window screening. ACM Transactions on Knowledge Discovery from Data. 2022, 16(6): 123. doi.org/10.1145/3532193

[23] M. Saqib Nawaz, Philippe Fournier-Viger, Unil Yun, Youxi Wu, Wei Song. Mining high utility itemsets with hill climbing and simulated annealing. ACM Transactions on Management Information Systems, 2022, 13(1): 4.

[24] M. Saqib Nawaz, Philippe Fournier-Viger, Muhammad Zohaib Nawaz, Guoting Chen, Youxi Wu. MalSPM: Metamorphic malware behavior analysis and classification using sequential pattern mining. Computer and Security, 2022, 118: 102741.

[25]Youxi Wu, Rong Lei, Yan Li, Lei Guo, Xindong Wu. HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining. Expert Systems With Applications. 2021, 184: 115449. PDF, C++ or PYTHON codes: https://github.com/wuc567/Pattern-Mining/tree/master/HAOP-Miner

[26]武优西, 刘茜, 闫文杰, 郭磊, 吴信东. 无重叠条件严格模式匹配的高效求解算法. 软件学报, 2021, 32(11): 3331-3350.

[27]Youxi Wu, Meng Geng, Yan Li, Lei Guo, Zhao Li, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu. HANP-Miner: High average utility nonoverlapping sequential pattern mining. Knowledge-Based Systems, 2021, 229: 107361. PDF, C++ or PYTHON codes: https://github.com/wuc567/Pattern-Mining/tree/master/HANP-Miner

[28]Shuhui Cheng, Youxi Wu, Yan Li, Fang Yao, Fan Min. TWD-SFNN: Three-way decisions with a single hidden layer feedforward neural network. Information Sciences, 2021, 579: 15–32.

[29] Qiaoshuo Shi, Jinsong Shan, Wenjie Yan, Youxi Wu, Xindong Wu. NetNPG: Nonoverlapping pattern matching with general gap constraints. Applied Intelligence, 2020, 50(6): 1832-1845. DOI: 10.1007/s10489-019-01616-z. 摘要与数据及全部算法

[30] Youxi Wu, Changrui Zhu, Yan Li, Lei Guo, Xindong Wu. NetNCSP: Nonoverlapping closed sequential pattern mining. Knowledge-Based Systems, 2020, 196: 105812. DOI: 10.1016/j.knosys.2020.105812. (pdf) 摘要与数据及全部算法

[31] 武优西, 刘茜, 闫文杰, 郭磊, 吴信东. 无重叠条件严格模式匹配的高效求解算法. 软件学报，2020. (已录用) (pdf) 摘要与数据及全部算法

[32] Youxi Wu, Jinquan Fan, Yan Li, Lei Guo, Xindong Wu. NetDAP: (δ, γ)-Approximate pattern matching with length constraints. Applied Intelligence, 2020, 50(11): 4094-4116. https://doi.org/10.1007/s10489-020-01778-1 (pdf) 摘要与数据及全部算法

[33] Youxi Wu, Yuehua Wang, Jingyu Liu, Ming Yu, Jing Liu, Yan Li. Mining distinguishing subsequence patterns with nonoverlapping condition. Cluster Computing. 2019, 22(3): 5905-5917. https://doi.org/10.1007/s10586-017-1671-0 . Accepted (pdf)

[34] Youxi Wu, Yao Tong, Xingquan Zhu, Xindong Wu. NOSEP: Nonoverlapping Sequence Pattern Mining with Gap Constraints. IEEE Transactions on Cybernetics, 2018, 48(10): 2809-2822. (pdf) 摘要与数据及全部算法

[35] Youxi Wu, Cong Shen, He Jiang, Xindong Wu. Strict pattern matching under non-overlapping condition. Science China Information Sciences, 2017, 60 (1):012101. Read Online (pdf) (Source codes)

[36] 武优西，周坤，刘靖宇，江贺，吴信东. 周期性一般间隙约束的序列模式挖掘. 计算机学报, 2017, 40(6): 1338-1352. (PDF) (Source codes)

[37] Youxi Wu, Dong Liu, He Jiang. Length-changeable incremental extreme learning machine. Journal of Computer Science and Technology. 2017, 32(3): 630–643. [中英文摘要] (PDF) (source codes)

[38] Dong Liu, Youxi Wu*, He Jiang. FP-ELM: An online sequential learning algorithm for dealing with concept drift. Neurocomputing. 2016, 207(26): 322–334 (PDF)

[39] Youxi Wu, Zhiqiang Tang, He Jiang, Xindong Wu. Approximate pattern matching with gap constraints. Journal of Information Science.2016, 42(5): 639–658 (PDF) (Source codes)

[40] Xindong Wu, Fei Xie, Jipeng Qiang, Youxi Wu, Dan Guo, Yingling Liu, Qingren Wang, Jun Gao, Xuegang Hu. Pattern Matching with Wildcards and Length Constraints (带有通配符和长度约束的模式匹配). Science press (科学出版社(英文著作))

[41] Youxi Wu, Shuai Fu, He Jiang, Xindong Wu. Strict approximate pattern matching with general gaps. Applied Intelligence. 2015, Volume 42, Issue 3, pp 566-580. (PDF) (Source codes)

[42] 柴欣，贾晓菲，武优西，江贺，吴信东. 一般间隙及一次性条件的严格模式匹配. 软件学报, 2015, 26(5):1096−1112. (PDF) (Source codes)

[43] 李艳，武优西，黄春萍，张志颖，曾珍香. 网树求解有向无环图中具有长度约束的最大不相交路径. 通信学报. 2015, 36(8): 38-49.

[44] Youxi Wu, Lingling Wang, Jiadong Ren, Wei Ding, Xindong Wu. Mining sequential patterns with periodic wildcard gaps. Applied Intelligence. Volume 41, Issue 1 (2014), Page 99-116. (PDF) (Source codes)

[45] He JIANG, JiFeng XUAN, ZhiLei REN, YouXi WU, XinDong WU. Misleading Classification. Science China Information Sciences. 2014, Volume 57, Issue 5, pp 1-17

[46] 武优西，刘亚伟，郭磊，吴信东. 子网树求解一般间隙和长度约束严格模式匹配. 软件学报. 2013, 24(5): 915-932 (PDF) (Source codes)

[47] 李艳，孙乐，朱怀忠，武优西.网树求解有向无环图中具有长度约束的简单路径和最长路径问题. 计算机学报. 2012, 35(10):2194-2203 (PDF)

[48] 武优西，吴信东，江贺，闵帆. 一种求解MPMGOOC问题的启发式算法. 计算机学报. 2011, 34(8): 1452- 1462 . (PDF) (Source codes)

[49] Lei Guo, Youxi Wu, Lei Zhao, Ting Cao, Weili Yan, Xueqin Shen. Classification of mental task from EEG signals using immune feature weighted support vector machines. IEEE Transactions on Magnetics. 2011, 47(5): 866-869. SCI&EI:

[50] Lei Guo, Lei Zhao, Youxi Wu, Ying Li, Guizhi Xu, Qingxin Yan. Tumor detection in MR images using one-class immune feature weighted SVMs. IEEE Transactions on Magnetics. 2011, 47(10): 3849-3852. SCI&EI:

[51] Wei Ding, Tomasz F Stepinski, Yang Mu, Lourenço P C Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu. Subkilometer crater discovery with boosting and transfer learning. ACM Transactions on Intelligent Systems and Technology. 2011, 2(4): 39~64. SCI&EI