卜湛，1987年6月生，安徽铜陵人，中共党员，工学博士，教授，硕士生导师。现任南京财经大学信息工程学院院长助理，CCF/ACM会员、江苏省计算机学会分布计算专委会委员，《Palgrave Communications》和《IEEE Access》副主编、《聊城学报-自然科学版》青年主编。长期从事社会计算、数据挖掘、博弈论等领域的基础研究工作，并结合统计物理学、行为经济学、人工智能领域的前沿技术，解决大数据分析、电子商务和互联网金融等应用领域的热点问题。近年来主持国家自然科学基金面上（青年）项目、国家重点研发计划子课题、国家科技支撑计划子课题等国家级项目4项，江苏省自然科学基金青年项目、江苏省教育厅高校自然科学基金面上项目等省市级项目3项。在数据挖掘和人工智能领域的权威期刊IEEE TKDE、IEEE TPDS、IEEE TCYB、IEEE TSMCS、IEEE TII、ACM TAAS、IEEE TETCI等发表学术论文50余篇，其中30余篇被SCI索引，10篇IEEE/ACM 汇刊。【招收硕士研究生学科方向：计算机科学与技术 & 软件工程】

工作经历：
2020.07-至今 南京财经大学信息工程学院、教授、院长助理；
2016.10-2020.03 南京财经大学信息工程学院、副教授、系主任；
2014.03-2016.09 南京财经大学信息工程学院、讲师；

教育经历：
2012.08-2013.08 美国阿拉巴马大学伯明翰分校、计算机科学系、访问****（国家留学基金委资助）；
2009.09-2014.03 南京航空航天大学、计算机科学与技术学院、计算机应用、硕博连读；
2005.09-2009.07 西安科技大学、通信与信息工程学院、通信工程、本科；

荣誉称号：
2018年，江苏省“六大人才高峰”高层次人才培养对象

代表性文章：
[1] Zhan Bu, Hui-Jia Li, Chengcui Zhang, Jie Cao*, Aihai Li, Yong Shi: Graph K-means based on leader identification, dynamic game and opinion dynamics. IEEE Transactions on Knowledge and Data Engineering01/2019; to be published, DOI: 10.1109/TKDE.2019.**
[2] Hui-Jia Li, Zhan Bu, Zheng Wang, Jie Cao: Dynamical clustering in electronic commerce systems via optimization and leadership expansion. IEEE Transactions on Industrial Informatics 12/2019; to be published, DOI: 10.1109/TII.2019.**
[3] Hui-Jia Li*, Zhan Bu, Aihua Li, Zhidong Liu, Yong Shi: Fast and Accurate Mining the Community Structure: Integrating Center Locating and Membership Optimization. IEEE Transactions on Knowledge and Data Engineering 09/2016; 28(9):1-1., DOI:10.1109/TKDE.2016.**
[4] Jichuan Jiang*, Bo An, Yichuan Jiang, Peng Shi, Zhan Bu, Jie Cao： Batch allocation for tasks with overlapping skill requirements in crowdsourcing. IEEE Transactions on Parallel and Distributed Systems 01/2019; to be published, DOI: 10.1109/TPDS.2019.**
[5] Zhan Bu*, Hui-Jia Li*, Jie Cao, Zhen Wang, Guangliang Gao: Dynamic Cluster Formation Game for Attributed Graph Clustering. IEEE Transactions on Cybernetics 01/2019; 49(1):382-341., DOI: 10.1109/TCYB.2017.**
[6] Zhan Bu, Zhiang Wu*, Jie Cao, Yichuan Jiang: Local Community Mining on Distributed and Dynamic Networks From a Multiagent Perspective. IEEE Transactions on Cybernetics 06/2016; 46(4):986-999., DOI:10.1109/TCYB.2015.**
[7] Jiuchuan Jiang*, Bo An, Yichuan Jiang, Chenyan Zhang, Zhan Bu, Jie Cao: Group-Oriented Task Allocation for Crowdsourcing in Social Networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems 08/2019;to be published, DOI: 10.1109/TSMC.2019.**
[8] Jie Cao, Zhan Bu*, Yuyao Wang, Huan Yang, Jiuchuan Jiang, Hui-Jia Li: Detecting prosumer-community groups in smart grids from the multiagent perspective. IEEE Transactions on Systems, Man, and Cybernetics: Systems03/2019; 49(8):1652-1664, DOI: 10.1109/TSMC.2019.**
[9] Jiuchuan Jiang*, Bo An, Yichuan Jiang, Donghui Lin, Zhan Bu, Jie Cao, Zhifeng Hao: Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Transactions on Autonomous and Adaptive Systems 07/2018; 13(2):1-32., DOI:10.1145/**
[10] Hui-Jia Li, Zhan Bu*, Zhen Wang*, Jie Cao*, Yong Shi: Enhance the Performance of Network Computation by a Tunable Weighting Strategy. IEEE Transactions on Emerging Topics in Computational Intelligence 05/2018; 2(3):214-223., DOI:10.1109/TETCI.2018.**
[11] Yuyao Wang, Zhan Bu*, Huan Yang, Hui-Jia Li, Jie Cao: An effective and scalable overlapping community detection approach: Integrating social identity model and game theory. Applied Mathematics and Computation 01/2021; 390: 125601, DOI: 10.1016/j.amc.2020.125601
[12] Zhan Bu*, Yuyao Wang, Hui-Jia Li, Jiuchuan Jiang, Zhiang Wu, Jie Cao*: Link prediction in temporal networks: Integrating survival analysis and game theory. Information Sciences 09/2019; 498: 41-61., DOI:10.1016/j.ins.2019.05.050
[13] Xi Xiong*, Shaojie Qiao, Nan Han, Fei Xiong, Zhan Bu, Rong-Hua Li, Kun Yue, Guan Yuan: Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks. Neurocomputing 09/2019; to be published, DOI:10.1016/j.neucom.2019.09.060
[14] Ju Xiang*, Hui-Jia Li, Zhan Bu, Zhen Wang, Mei-Hua Bao, Liang Tang, Jian-Ming Li: Critical analysis of (Quasi-)Surprise for community detection in complex networks. Scientific Reports 08/2018; 14459:1-15., DOI:10.1038/s41598-018-32582-0
[15] Hui-Jia Li*, Zhan Bu, Yulong Li, Zhongyuan Zhang, Yanchang Chu, Guijun Li, Jie Cao: Evolving the attribute flow for dynamical clustering in signed networks. Chaos, Solition and Fractals 02/2018; 110: 20-27., DOI:10.1016/j.chaos.2018.02.009
[16] Guangliang Gao, Jie Cao, Zhan Bu*, Hui-jia Li, Zhiang Wu: A generalized game theoretic framework for mining communities in complex networks. Expert Systems with Applications 11/2017; 96: 450-461., DOI:10.1016/j.eswa.2017.10.058
[17] Zhan Bu, Jie Cao*, Hui-Jia Li, Guangliang Gao, Haicheng Tao: GLEAM: a graph clustering framework based on potential game optimization for large-scale social networks. Knowledge and Information Systems 09/2017; 55(3): 741-770., DOI:10.1007/s10115-017-1105-6
[18] Lu Zhang, Zhiang Wu*, Zhan Bu, Ye Jiang, Jie Cao: A Pattern-Based Topic Detection and Analysis System on Chinese Tweets. Journal of Computational Science 09/2017;, DOI:10.1016/j.jocs.2017.08.016
[19] Zhan Bu, Guangliang Gao, Hui-Jia Li*, Jie Cao*: CAMAS: A cluster-aware multiagent system for attributed graph clustering. Information Fusion 09/2017; 37:10-21., DOI:10.1016/j.inffus.2017.01.002
[20] Haicheng Tao, Youquan Wang*, Zhi'ang Wu, Zhan Bu, Jie Cao: Discovering Overlapping Communities by Clustering Local Link Structures. Chinese Journal of Electronics 03/2017; 26(2):430-434., DOI:10.1049/cje.2017.01.017
[21] Jie Cao, Zhan Bu*, Guangliang Gao, Haicheng Tao: Weighted modularity optimization for crisp and fuzzy community detection in large-scale networks. Physica A: Statistical Mechanics and its Applications 06/2016; 462., DOI:10.1016/j.physa.2016.06.113
[22] Zhan Bu*, Huijia Li, Jie Cao, Zhiang Wu, Lu Zhang: Game Theory based Emotional Evolution Analysis for Chinese Online Reviews. Knowledge-Based Systems 04/2016; 103., DOI:10.1016/j.knosys.2016.03.026
[23] Youquan Wang, Zhiang Wu*, Zhan Bu, Jie Cao, Dun Yang: Discovering shilling groups in a real e-commerce platform. Online Information Review 02/2016; 40(1):62-78., DOI:10.1108/OIR-03-2015-0073
[24] Zhiang Wu, Guangliang Gao, Zhan Bu*, Jie Cao: SIMPLE: a simplifying-ensembling framework for parallel community detection from large networks. Cluster Computing 11/2015; 19(1)., DOI:10.1007/s10586-015-0504-2
[25] Zhan Bu*, Chengcui Zhang, Zhengyou Xia, Jiandong Wang: An FAR-SW based approach for webpage information extraction. Information Systems Frontiers 11/2014; 16(5)., DOI:10.1007/s10796-013-9412-2
[26] Zhengyou Xia*, Zhan Bu: Community detection based on a semantic network. Knowledge-Based Systems 11/2013; 26:30-39., DOI:10.1016/j.knosys.2011.06.014
[27] Zhan Bu*, Chengcui Zhang, Zhengyou Xia, Jiandong Wang: A fast parallel modularity optimization algorithm (FPMQA) for community detection in online social network. Knowledge-Based Systems 06/2013; 50:246-259., DOI:10.1016/j.knosys.2013.06.014
[28] Zhan Bu*, Zhengyou Xia, Jiandong Wang, Chengcui Zhang: A last updating evolution model for online social networks. Physica A: Statistical Mechanics and its Applications 05/2013; 392(9):2240–2247., DOI:10.1016/j.physa.2013.01.006
[29] Zhan Bu*, Zhengyou Xia, Jiandong Wang: A sock puppet detection algorithm on virtual spaces. Knowledge-Based Systems 01/2013; 37:366-77., DOI:10.1016/j.knosys.2012.08.016
主持科研项目：

l 多源情境化数据分布式融合与合约式共享机制研究-分布式融合机制，国家重点研发计划子课题，项目编号: 2019YFB**-2, 2019/12-2022/11

l 社交媒体消费社群形成与演化机理研究，国家自然科学基金项目(面上)，项目编号: **, 2019/01-2022/12

l 面向金融市场走势预测的在线论坛公众情绪挖掘与演化分析算法研究，国家自然科学基金项目(青年)，项目编号: **, 2016/01-2018/12

l 融合社会化媒体信息的金融市场走势预测模型研究, 江苏省自然科学基金项目(青年)，项目编号: BK**, 2016/01-2018/12

l 食品安全电子溯源数据采集交换与标识研究, 国家科技支撑计划子课题, 项目编号: 2015BAK36B02, 2015/01-2017/12

l 社会化电子商务客户多关系网络研究及应用, 江苏省教育厅面上项目, 项目编号: 14KJB520015, 2014/01-2016/12

授权发明专利:

l 自动摘要生成方法及装置. CN B, 2019

l 一种文本提取方法及装置. CN B, 2017

l 具有隐私保护的无中央机构的密文政策的属性基加密方法. CN B, 2017

l 一种“网络马甲”的检测方法. CN B, 2016

l 基于博弈理论的互联网虚拟空间用户可信度评价方法. CN B, 2015