1983年9月必威官方betway在线登录数学系本科毕业留校工作，1988年获必威官方betway在线登录计算数学理学硕士学位，2008年获英国哈德斯菲尔德大学信息科学与技术工学博士学位。1996年9月破格晋升副教授，2001年8月破格晋升教授，2010年4月聘用到教授三级岗位。“云南省空间大数据挖掘与决策支持创新团队”带头人，云南省中青年学术和技术带头人，云南省三八红旗手，“伍达观奖”、“红云园丁奖”优秀教师，必威betway西汉姆联“数据挖掘与信息网络分析” 方向学术带头人。荣获云南省政府特殊津贴、云南省自然科学二等奖1项（排名第1）、三等奖2项（排名第1）。发表论文200余篇，出版学术专著5部。主持完成国家自然科学基金项目4项、省应用基础研究基金项目3项，在研国家自然科学基金项目1项。主持建成云南省精品课程《数据库概论》。

主要从事数据库、数据挖掘及计算机算法等方向的教学和研究工作。目前研究内容包括：时空大数据挖掘及应用；交互式数据挖掘方法及技术；医疗大数据挖掘及应用；服务大数据挖掘及应用等。

(1) 国家自然科学基金项目“空间co-location模式挖掘中的模糊技术研究”，2020/01-2023/12，主持

(2) 国家自然科学基金项目“领域驱动空间co-location模式挖掘技术研究”，2015/01-2018/12，主持。

(3) 国家自然科学基金项目“带不精确概率和约束的co-location挖掘及可视化研究”，2013/01-2013/12，主持。

(4) 国家自然科学基金项目“不确定数据的空间co-location模式挖掘技术研究”，2011/01-2013/12，主持。

(5) 国家自然科学基金项目“三江并流”代表性植物空间数据仓库及其多样性研究”，2005/01-2007/12，主持。

(6) 云南省科技创新人才计划项目“必威官方betway在线登录空间大数据挖掘与决策支持省创新团队”，2017/08-2020/12，带头人。

(7) 云南省应用基础研究计划重点项目“基于传感数据的公共安全事件预警关键技术研究”，2016/10-2019/09，参与（排名第二）。

(8) 国家自然科学基金项目 “基于合作博弈的社区发现机器在云南毒网中的应用研究”，2013/01-2016/12，参与（排名第二）。

(9) 云南省应用基础研究面上项目“影响图的扩展及应用研究”，2010/12-2013/12，参与（排名第二）。

(10) 云南省应用基础研究面上项目 “时空数据上的co-location 模式及其演化研究”，2015/07-2018/06，参与（排名第二）。

[1]. Lizhen Wang, Yuan Fang, Lihua Zhou. 偏好空间同位模式挖掘（英）[M], Series Title: Big Data Management. Singapore: Springer & Beijing: Science Press, 2022, https://doi.org/10.1007/978-981-16-7566-9

[2]. 王丽珍，陈红梅. 空间模式挖掘理论与方法[M]. 北京: 科学出版社, 2014.7.

[3]. Peizhong Yang, Lizhen Wang*, Xiaoxuan Wang, Lihua Zhou and Hongmei Chen. Parallel Co-location Pattern Mining based on Neighbor-Dependency Partition and Column Calculation, In Proc. of the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL'21), November 2-5, 2021, Beijing, China, pp. 365-374.

[4]. Zisong Hu, Lizhen Wang*, Vanha Tran, Hongmei Chen. Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques. Information Sciences, 592 (2022) 361–388.

[5]. 罗金, 王丽珍*, 王晓璇, 肖清. k-近邻关系下的空间高效用核模式挖掘，计算机学报，2022, 45 (2): 354-368.

[6]. 张绍雪, 王丽珍*, 陈文和. CPM-MCHM：一种基于极大团和哈希表的空间并置模式挖掘算法，计算机学报，2022, 45 (3): 526-541.

[7].  方圆, 王丽珍*, 王晓璇, 杨培忠. 基于空间占有度的主导并置模式挖掘，计算机研究与发展，2022, 59 (2): 264-281

[8]. Peizhong Yang, Lizhen Wang*, Xiaoxuan Wang, Lihua Zhou. SCPM-CR: A Novel Method for Spatial Co-location Pattern Mining with Coupling Relation Consideration, IEEE Transactions on Knowledge and Data Engineering (TKDE), http://dx.doi.org/10.1109/TKDE.2021.3060119.

[9]. Xiaoxuan Wang, Le Lei, Lizhen Wang*, Peizhong Yang, Hongmei Chen. Spatial Co-location Pattern Discovery Incorporating Fuzzy Theory, IEEE Transactions on Fuzzy Systems(TFS), 2021,1-15, http://dx.doi.org/10.1109/TFUZZ.2021.3074074

[10]. Tran, V., Wang, L.*, Chen, H., Xiao, Q.: MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm. Expert Systems with Applications, 175 (2021) 114830 (2021)

[11]. Peizhong Yang, Lizhen Wang*, Xiaoxuan Wang, Lihua Zhou. Efficient discovery of co-location patterns from massive spatial datasets with or without rare features, Knowledge and Information Systems (KAIS), 2021, 63(6), 1365-1395.

[12]. Tran, V., Wang, L*. & Zhou, L. A spatial co-location pattern mining framework insensitive to prevalence thresholds based on overlapping cliques. Distributed and Parallel Databases  (2021).

[13]. 李钧毅, 王丽珍*, 陈红梅. dGridTopk-FCPM: 一种基于模糊理论和d-网格的Top-k空间co-location模式挖掘方法, 清华大学学报(自然科学版), 2021, 61(9): 943-952 

[14]. Peizhong Yang, Lizhen Wang*, Xiaoxuan Wang. A MapReduce approach for spatial co-location pattern mining via ordered-clique-growth, Distributed and Parallel Databases, （2020）38：531-560

[15]. Lijun Liu, Lizhen Wang*, Qingsong huang, Lihua Zhou, Xiaodong Fu, Li Liu. An efficient architecture for medical high-resolution images transmission in mobile telemedicine systems, Computer Methods and Programs in Biomedicine, pp. 1-14, 2019.12.26, https://doi.org/10.1016/j.cmpb.2019.105088

[16]. Tran V, Wang L*. Delaunay triangulation-based spatial colocation pattern mining without distance thresholds. Statistical Analysis Data Mining: The ASA Data Science Journal. 2020, 13: 282–304.

[17]. Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang*. ESPM: Efficient Spatial Pattern Matching, EEE Transactions on Knowledge and Data Engineering (TKDE), 2020, 32(6): 1227-1233

[18]. Lu Yang, Lizhen Wang*. Mining traffic congestion propagation patterns based on spatio-temporal co-location patterns [J]. Evolutionary Intelligence, 13(2020): 221–233

[19]. Dianwu Fang, Lizhen Wang*, Peizhong Yang, Lan Chen. Mining High Influence Co-location Patterns from Instances with Attributes [J]. Evolutionary Intelligence, 13, pages197–210(2020)

[20]. MEI-JIAO WANG, LI-ZHEN WANG^* AND LI-HONG ZHAO. Spatial Co-location Pattern Mining Based on Fuzzy Neighbor Relationship [J]. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 35(6): 1343-1363 (2019).

[21]. 王晓旭，王丽珍*，王家龙. 交通数据的时空并置模糊拥堵模式挖掘, 清华大学学报（自然科学版）, 60(8): 683-692 (2020)

[22]. Lili Lei, Lizhen Wang*, Yuming Zeng, Lanqing Zeng. Discovering High Influence Co-location Patterns from Spatial Data Sets [C]. In: Proc. of the 2019 IEEE International Conference on Big Knowledge (ICBK 2019), IEEE Press, pp. 137–144, 2019.11

[23]. Pingping Wu, Lizhen Wang*, Muquan zhou. Vector-Degree: A General Similarity Measure for Co-Location Patterns [C]. In: Proc. of the 2019 IEEE International Conference on Big Knowledge (ICBK 2019), IEEE Press, pp. 281–288

[24]. Vanha Tran, Lizhen Wang*, Hongmei Chen. A Spatial Co-location Pattern Mining Algorithm without Distance Thresholds [C]. In: Proc. of the 2019 IEEE International Conference on Big Knowledge (ICBK 2019), IEEE Press, pp. 242–249

[25]. Le Lei, Lizhen Wang*, Xiaoxuan Wang. Mining Spatial Co-location Patterns by Fuzzy Technology [C]. In: Proc. of the 2019 IEEE International Conference on Big Knowledge (ICBK 2019), IEEE Press, pp. 129–136

[26]. Peizhong Yang, Lizhen Wang*, Xiaoxuan Wang, and Yuan Fang. A Parallel Joinless Algorithm for Co-location Pattern Mining Based on Group-Dependent Shard. In: Proc. of the 19th International Conference on Web Information Systems Engineering (WISE 2018), LNCS 11234, pp. 240–250, 2018

[27]. 王晓璇, 王丽珍*, 陈红梅, 方圆, 杨培忠. 基于特征效用参与率的空间高效用co-location 模式挖掘方法, 计算机学报, 42(8): 1721-1738, 2019.8.

[28]. Lizhen Wang, Xuguang Bao, Lihua Zhou, Hongmei Chen. Mining maximal sub-prevalent co-location patterns. World Wide Web, 2019, 22(5): 1971-1997

[29]. Xuguang Bao, Lizhen Wang*. A clique-based approach for co-location pattern mining. Information Sciences, 490 (2019): 244-264.

[30]. Peizhong Yang, Lizhen Wang*, Xiaoxuan Wang, Dianwu Fang. An Effective Approach on Mining Co-location Patterns from Spatial Databases with Rare Features, In: Proc. of The 20th IEEE International Conference on Mobile Data Management (MDM 2019), June 10-13, 2019, Hong Kong, pp. 53-62

[31]. Jialong Wang, Lizhen Wang*, Xiaoxu Wang. Mining Prevalent Co-location Patterns Based on Global Topological Relations, In: Proc. of The 20th IEEE International Conference on Mobile Data Management (MDM 2019), June 10-13, 2019, Hong Kong, pp. 210-215

[32]. Lizhen Wang, Xuguang Bao, Lihua Zhou. Redundancy Reduction for Prevalent Co-Location Patterns, IEEE Transactions on Knowledge and Data Engineering (TKDE), VOL. 30, NO. 1, pp. 142-155 (2018)

[33]. Lizhen Wang, Xuguang Bao, Hongmei, Chen and Longbing, Cao, Effective Lossless Condensed Representation and Discovery of Spatial Co-location Patterns, Information Sciences, 436-437 (2018): 197-213

[34]. Junli Lu, Lizhen Wang*, Yuan Fang, Jiasong Zhao. Mining Strong Symbiotic Patterns Hidden in Spatial Prevalent Co-location Patterns, Knowledge-Based Systems (KBS), 146 (2018): 190-202

[35]. Lizhen Wang, Xuguang Bao, Longbing Cao. Interactive Probabilistic Post-mining of User-preferred Spatial Co-location Patterns, In: Proc. of the 34th IEEE International Conference on Data Engineering (ICDE 2018), Apr 16 - 20, 2018, Paris, French, pp. 1256-1259.

[36]. Lizhen Wang, Xuguang Bao, Lihua Zhou. Redundancy Reduction for Prevalent Co-Location Patterns (Extended Abstract), In: Proc. of the 34th IEEE International Conference on Data Engineering (ICDE 2018), Apr 16 - 20, 2018, Paris, French, pp. 1777-1778.

[37]. Peizhong Yang, Lizhen Wang*, Xiaoxuan Wang. A Parallel Spatial Co-location Pattern Mining Approach Based on Ordered Clique Growth, In: Proc. of the 23nd International Conference on Database Systems for Advanced Applications (DASFAA 2018), LNCS 10827, May 21 - 24, 2018, Gold Coast, Australia, pp. 734 - 742.

[38]. Yuan Fang, Lizhen Wang*, and Teng Hu. Spatial Co-location Pattern Mining Based on Density Peaks Clustering and Fuzzy Theory, In: Proc. of the Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data (APWeb-WAIM 2018), LNCS 10988, pp. 298–305

[39]. Zhiping Ouyang, Lizhen Wang*, and Pingping Wu, Spatial Co-Location Pattern Discovery from Fuzzy Objects. Int. J. Artif. Intell. Tools, Vol. 26 (2017) 1750003 (20 pages)

[40]. Lizhen Wang, Wanguo Jiang, Hongmei Chen, Yuan Fang: Efficiently Mining High Utility Co-location Patterns from Spatial Data Sets with Instance-Specific Utilities. DASFAA 2017, LNCS 10178, pp. 458-474

[41]. Junli Lu, Lizhen Wang*, Yuan Fang, and Momo Li: Mining Competitive Pairs Hidden in Co-location Patterns from Dynamic Spatial Databases. PAKDD 2017, LNAI 10235, pp. 467-480

[42]. Lizhen Wang, Xuguang Bao, Lihua Zhou, and Hongmei Chen. Maximal Sub-Prevalent Co-location Patterns and Efficient Mining Algorithms, In: Proc. of the 18^th international conference on Web Information Systems Engineering (WISE 2017), Part I, LNCS 10569, pp. 199-214

[43]. Yuan Fang, Lizhen Wang*, Xiaoxuan Wang, and Lihua Zhou. Mining Co-Location Patterns with Dominant Features, In: Proc. of the 18^th international conference on Web Information Systems Engineering (WISE 2017), Part I, LNCS 10569, pp. 183-198

[44]. Lizhen Wang, J. Han, H. Chen, et al. Top-k probabilistic prevalent co-location mining in spatially uncertain data sets[J]. Frontiers of Computer Science, 2016, 10(3): 488-503.

[45].   Lizhen Wang，P. Wu，H. Chen. Finding Probabilistic Prevalent Co-locations in Spatially Uncertain Data Sets[J], IEEE Transactions on Knowledge and Data Engineering (TKDE), VOL. 25, NO. 4, pp. 790-804, 2013

[46].   Lizhen Wang, L. Zhou, J. Lu, J. Yip. An order-clique-based approach for mining maximal co-locations[J]. Information Sciences 179 (2009) 3370–3382

[47].   Lizhen Wang, K. Xie，T. Chen，X. Ma. Efficient discovery of multilevel spatial association rule using partition[J], Information and Software Technology (IST), 47(13), 2005: 829-840.

[48].   Lizhen Wang, L. Zou. Research on Algorithms for Mining Distance-Based Outliers[J], CHINESE JOURNAL OF ELECTRONICS, 14(3), 2005: 485-490

[49].Lizhen Wang, Y. Bao, Z. Lu. Efficient Discovery of Spatial Co-Location Patterns Using the iCPI-tree[J]. The Open Information Systems Journal, 2009, Vol. 3, 69-80

[50]. Lizhen Wang, H. Chen, L. Zhao, and L. Zhou. Efficiently Mining Co-location Rules on Interval Data[C], L. Cao, J. Zhong, and Y. Feng (Eds.): ADMA 2010, LNCS 6440, pp. 477–488, 2010

[51].  Lizhen Wang, Y. Bao, J. Lu, J. Yip, A New Join-less Approach for Co-location Pattern Mining[C], In: Proc. of the IEEE 8^th International Conference on Computer and Information Technology (CIT2008), Syney, Australia, July 2008, pp. 197-202.

[52]. Lizhen Wang, J. Lu, J. Lu, J. Yip. AOG-ags Algorithms and Applications[C]. ADMA 2007, LNAI 4632, pp. 323-334, 2007.8

[53].  Lizhen Wang, J. Lu, J. Yip. An Effective Approach to Predicting Plant Species in an Ecological Environment[C]. In: Proceedings of the 2007 international Conference on Information and Knowledge Engineering (IKE’07), Las Vegas Nevada, USA, 2007: 245-250

[54].  J. Lu, Lizhen Wang^*, Y. Fang and X. Bao. A Novel Method on Incremental Mining of Spatial Co-locations[C], In Proc. of the 3rd International Conference on Big Data and Smart Computing (BigComp 2016), Jan. 18-20, 2016, Hongkong, China, IEEE Press, pp. 69-76

[55]. X. Wang, Lizhen Wang*, J. Lu, and L. Zhou. Effectively Updating High Utility Co-location Patterns in Evolving Spatial Databases[C], WAIM 2016, Part I, LNCS 9658, pp. 67–81, 2016

[56].  H. Chen, W. Liu and Lizhen Wang, Naive Bayesian Classification of Uncertain Objects Based on the Theory of Interval Probability[J], International Journal on Artificial Intelligence Tools, 2016, 25(3): (31 pages), DOI: 10.1142/S0218213016500123

[57].   芦俊丽，王丽珍*，肖清，王新. 空间co-location 模式增量挖掘及演化分析[J]. 软件学报，2014, 25(Suppl.(2)):189−200

[58].  欧阳志平, 王丽珍*, 陈红梅. 模糊对象的空间Co-location模式挖掘研究[J], 计算机学报, 第34卷, 第10期, pp. 1947-1955, 2011.10

[59].  余灿玲, 王丽珍*, 张元武. 基于网格密度方向的聚类簇边缘精度加强算法[J], 计算机研究与发展，47 (5): 815-823, 2010

[60].  何洪辉，王丽珍^*，周丽华. pgi-Distance：一种高效的并行KNN-join处理方法[J]. 计算机研究与发展，44(10):1774-1781,2007.10

[61]. 姚华传，王丽珍*，陈红梅，邹目权. 面向海量数据的空间co-location模式挖掘新算法[J]. 计算机科学与探索，2015，9（1）：24-35

[62]. 胡新，王丽珍*，周丽华，温佛生. 空间极大co-location模式挖掘研究[J]. 计算机科学与探索,  2014, 8(2): 150-160

[63]. 胡新，王丽珍*，何瓦特，姚华传. 度数法求解最大团问题[J]. 计算机科学与探索, 2013, 7 (3): 262-271

[64].  杨世晟，王丽珍*，芦俊丽，高源. 空间高效用co-location模式挖掘技术初探[J]. 小型微型计算机系统, 2014, 35(10): 2302-2307

[65].  吴萍萍，王丽珍*，周永恒. 带模糊属性的空间co-location模式挖掘研究[J]，计算机科学与探索, 2013, 7 (4): 348-358

[66]. 欧阳志平, 王丽珍*, 周丽华. 实例位置模糊的空间co-location模式挖掘研究[J]. 计算机科学与探索, 2012, 6(12): 1144-1152

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