1969年9月生，江苏泰州人，中共党员，工学博士，教授。现任南京财经大学信息工程学院院长，国家级电子商务信息处理国际联合研究中心主任，江苏省电子商务重点实验室（南京财经大学）主任，江苏省商务软件工程技术研究中心主任，江苏省粮食物联网工程技术研究中心主任。
兼任2013-2017年教育部电子商务类专业教学指导委员会委员，科技部高新领域国家科技计划网评专家，商务部电子贸易产业技术创新战略联盟副理事长，江苏省青年联合会委员，江苏省中小企业信息化推进工程咨询专家组成员，南京市电子商务协会副理事长。南京理工大学计算机科学与技术博士生导师，acm、ccf会员。
一、研究领域
主要研究方向为商务智能、电子商务推荐系统、数据挖掘基础理论、电子商务平台支撑技术。近年来主持国家自然基金、国家科技支撑计划、国家软科学、国际合作项目、国家科技攻关子课题等国家级项目10余项，江苏省科技支撑计划、省教育厅高校自然科学基金重大项目等省市级项目20余项，及横向课题30余项。在tsmcb、sigkdd、information sciences、wwwj、kais、sigpro、jss、jcss、recsys 等国内外期刊和会议上发表论文100余篇，其中20 篇被sci 索引，40 余篇被ei 索引。在科学出版社出版25 万字专著1 部，获省市科技奖项6 项，其中江苏省科技进步二等奖1 项，三等奖1 项，南京市科技进步三等奖2 项，南京市优秀软件二、三等各1 项。申报国家专利46 项，已获得授权国家发明专利6 项、实用新型5 项。
二、工作经历
2014/07 - 至今，任南京财经大学信息工程学院院长；
2013/09 - 至今，任国家级电子商务信息处理国际联合研究中心主任；
2009/07 - 至今，任南京财经大学电子商务省级重点实验室主任；
2006/07-2009/06，任南京财经大学电子商务省级重点实验室副主任；
2002/12-2006/06，南京财经大学电子商务系工作；
1998/04-1999/09，扬州亚星客车厂计算机中心工作；
1992/08-1996/09，金陵石化化工二厂工作；
三、教育研究经历
2012/08-2012/10，澳大利亚维多利亚大学，应用信息学研究中心，访问学者；
2003/02-2007/09，东南大学，控制工程，博士后；
1999/09-2002/12，东南大学，制造业自动化，博士；
1996/09-1998/12，东南大学，系统工程，硕士；
1990/09-1993/06，南京理工大学，电气自动化专业；
四、学术兼职
adma 2012国际会议本地主席
国际会议 wise 2013 大会联合主席
国际会议 asonam 2014 industry track 主席
国际期刊 wwwj 编委
apweb 2012 workshop (the 2nd international workshop on mobilebusiness collaboration)，workshop 主席
国际国内期刊的审稿人：
ieee transactions on knowledge and data engineering (tkde)
ieee transactions on cybernetics
world wide web journal
knowledge and information systems
information sciences
电子学报
计算机集成制造系统
五、荣誉称号
2010年，江苏省有突出贡献中青年专家
2010年，江苏省“电子商务”科技创新团队学术带头人
2009年，江苏省“333高层次人才培养工程”中青年科学技术带头人
2007年，教育部“新世纪优秀人才支持计划”培养对象
2006年，江苏省“六大人才高峰”高层次人才培养对象
2005年，江苏省“青蓝工程”优秀青年骨干教师
六、代表性文章
[1] cao jie, wu zhiang, wu junjie, and xiong hui. sail: summation-based incremental learning for information-theoretic text clustering. ieee transactions on cybernetics, 43(2): 570-584 (2013).
[2] wu zhiang, wu junjie, cao jie, and tao dacheng. hysad: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation. the 18th acm sigkdd conference on knowledge discovery and data mining (kdd 2012), beijing, china, august, 2012, pp. 985-993.
[3] cao jie, wu zhiang, wang youquan and zhuang yi. hybrid collaborative filtering algorithm for bidirectional web service recommendation, knowledge and information systems, 36(3): 607-627, 2013.
[4] wu zhiang, cao jie*, tao haicheng and zhuang yi. a novel noise filter based on interesting pattern mining for bag-of-features images.expert systems with applications, 40(18): 7555-7561, 2013.
[5] wu zhiang, cao jie, wu junjie, wang youquan and liu chunyang. detecting genuine communities from large-scale social networks: a pattern-based method.the computer journal, accepted, 2013 (forthcoming).
[6] cao jie, wu zhiang. an improved protocol for deadlock and livelock avoidance resource co-allocation in network computing. world wide web journal: internet and web information systems, 13(3):373-388, 2010.
[7] cao jie, wu zhiang, mao bo, and zhang yanchun. shilling attack detection utilizing semi-supervised learning method for collaborative recommender system. world wide web journal: internet and web information systems, 16(5-6): 729-748, 2013.
[8] he jing, zhang yanchun, huang guangyan, shi yong, and cao jie. distributed data possession checking for securing multiple replicas in geographically-dispersed clouds, journal of computer and system sciences (jcss), 78: 1345-1358, 2012.
[9] cao jie, wu zhiang, wu junjie, and liu wenjie.towards information-theoretic k-means clustering for image indexing. signal processing,93(7): 2026-2037 (2013).
[10] zhao yanchang, cao jie, zhang chengqi, zhang shichao. enhancing grid-density based clustering for high dimensional data. journal of systems & software, 84(9): 1524-1539 (2011).
[11] cao jie, wu zhiang, zhuang yi, mao bo, and yu zeng. a novel collaborative filtering using kernel methods for recommender systems, chinese journal of electronics, 21(4): 609-614, 2012.
[12] wu zhiang, cao jie, mao bo, and wang youquan. semi-sad: applying semi-supervised learning to shilling attack detection. the 5th acm conference on recommender systems (recsys 2011), chicago, il, usa, october, 2011, page: 289-292.
[13] wu junjie,liu hongfu,xiong hui,cao jie. a theoretic framework of k-means-based consensus clustering. 23rd international joint conference on artificial intelligence (ijcai 2013).
[14] wu zhiang, cao jie and fang changjian. data cloud for distributed data mining via pipelined mapreduce. the 10th international conference on autonomous agents and multiagent systems (aamas) workshop on agents and data mining interaction (admi), taipei, taiwan, may, 2011, page: 316-330.
[15] wu zhiang, cao jie and wang youquan. dynamic advance reservation for grid system using resource pools. ifip network and parallel computing (npc 2011). changsha, china, october, 2011, lncs 6985, page: 123-134.
[16] wu zhiang, mao bo and cao jie. mrgir: open geographical information retrieval using mapreduce. the 19th international conference on geoinformatics (geoinformatics 2011), shanghai, china, june, 2011.
[17] hu haoran, wu zhiang, mao bo, zhuang yi, cao jie, and pan jingui. pick-up tree based route recommendation from taxi trajectories. the 13th international conference on web-age information management (waim 2012), lncs 7418, pp. 471-483, 2012.
[18] mao bo, wu zhiang, cao jie. a framework of online spatial-temporal data visualization based on html5, isprs archives volume xxxix-b2, 2012 page(s) 123-127.
[19] fang changjian, mao bo, cao jie, wu zhiang.exploiting space-time status for service recommendation. apweb 2012 workshop, the 3rd international workshop on mobile business collaboration (mbc 2012), april 11-13, 2012, lncs 7234, pp. 245-256, kunming, china.
[20] wang youquan, wu zhiang, cao jie, and fang changjian. towards a tricky group shilling attack model against recommender systems. the 8th international conference on advanced data mining and applications (adma 2012), december 15-18, 2012, lnai 7713, pp. 675-688, nanjing ,china.
[21] mao bo, cao jie, wu zhiang, huang guangyan, and li jingjun. predicting driving direction with weighted markov model. the 8th international conference on advanced data mining and applications (adma 2012), december 15-18, 2012, lnai 7713, pp. 407-418, nanjing ,china.
[22] cao jie, wu zhiang, and wu junjie. community extraction from massive social networks. business intelligence in e-commerce workshop (bps 2012), in conjunction with international conference on information systems (icis 2012), dec. 15, orlando, florida, usa.
[23] wu zhiang, yin wenpeng, cao jie*, xu guandong and cuzzozrea alfredo.community detection in multi-relational social networks. the 14th international conference on web information system engineering (wise 2013), lncs 8181: 43-56.
[24] wu zhiang, tao haicheng, wang youquan, fang changjian and cao jie*.a cloud system for community extraction from super-large scale social networks. the 14th international conference on web information system engineering (wise 2013), lncs 8181: 499-502.
[25] wang yaqiong, liu hongfu, lin hao, wu junjie, wu zhiang, and cao jie.sea: a system for event analysis on chinese tweets. the 19th acm sigkdd conference on knowledge discovery and data mining (kdd 2013), chicago, il, usa, august 2013, pp. 1498-1501.
[26] cao jie, wu zhiang, wu junjie. scaling up cosine interesting pattern discovery: a depth-first method. information sciences, available online 16 january 2014.
[27] 伍之昂, 曹杰, 王有权. 一种改进的死锁和活锁避免资源联合分配协议. 电子学报, 2011, vol. 39(11):2589-2596.
[28] 伍之昂, 庄毅, 王有权, 曹杰. 基于特征选择的推荐系统托攻击检测算法. 电子学报, 2012, vol. 40(8): 1687-1693.
[29] cao jie, wu zhiang*, zhuang yi, mao bo, and yu zeng. a novel collaborative filtering using kernel methods for recommender systems, chinese journal of electronics, 21(4): 609-614, 2012.
[30] 刘文杰, 伍之昂*, 曹杰, 潘金贵. 基于成对约束info-kmeans聚类的图像索引方法. 通信学报, 2013, vol. 34(7).
七、获奖情况
2009年，“面向分布式异源数据匹配的协同软件开发及应用”获江苏省科技进步二等奖，排名第一；
2008年，“电子商务实验教学公共平台”获南京市科技进步三等奖，排名第一；
2007年，“基于银行卡和vip管理集成的现代商业pos/mis系统”获江苏省科技进步三等奖，排名第一；
2005年，“现代商业管理信息系统”获南京市科技进步三等奖，排名第一。
