祝园园
3522集团的新网站 人工智能系 大数据研究所教授 (硕导)
研究方向
祝园园，女，博士，教授，硕士生导师。2013年毕业于香港中文大学系统工程与工程管理系计算机专业，获博士学位。同年作为海外引进人才进入3522集团的新网站工作，为3522集团的新网站优秀青年骨干教师。
其主要研究方向包括数据管理和数据挖掘技术、大规模图数据处理技术、社交网络分析和查询技术、大数据分析技术，软件代码挖掘和软件重用检测技术等。其主要成果已先后发表在国际顶级期刊和会议包括The VLDB Journal (CCF A类期刊，SCI JCR1区)、TKDE(CCF A类期刊，SCI二区), VLDB(CCF A类会议)、ICDE(CCF A类会议)，CIKM(CCF B类会议)、EDBT(CCF B类会议)，DASFAA(CCF B类会议)等。目前主持多项国家级及省部级项目，包括国家自然科学基金面上项目、国家自然科学基金青年项目、湖北省自然科学基金基面上项目、湖北省自然科学基金青年项目、苏州市科技发展计划项目、中央高校自主科研-学科交叉项目等。
现为中国计算机学会数据库专委会委员，ACM SIGMOD China 专委会委员，ACM会员，中国计算机学会会员 。担任国内外顶级期刊和学术会议IEEE Transactions on Knowledge and Data Engineering(CCF A 类，SCI)、World Wide Web Journal (CCF C 类，SCI)、International Journal of Cooperative Information System、Data Science and Engineering、软件学报计算机学报等审稿人。担任 ICDM International Workshop on Graph Analytics以及 2018 –ACM SIGMOD China Forum, 2018的程序委员会主席。担任30+以上国际会议的程序委员会委员：
–CCF A
•The 46th International Conference on Very Large Data Bases（VLDB）, 2020
•The 26th ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD)，2020
•The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020
•The 43rd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
•The 25th ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD)，2019
•The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
–CCF B
•The 25th International Conference on Database Systems for Advanced Applications (DASFAA), 2020
•The 28th ACM Conference on Information and Knowledge Management (CIKM), 2019
•The 24th International Conference on Database Systems for Advanced Applications (DASFAA), 2019
•The 23th International Conference on Database Systems for Advanced Applications (DASFAA), 2018
•The 26th ACM Conference on Information and Knowledge Management (CIKM), 2017
•The 20th International Conference on Database Systems for Advanced Applications (DASFAA), 2015
–CCF C
•The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020
•The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
•The 20th Asia Pacific Web Conference (APWeb), 2018
.....
本课题组招收硕士研究生，欢迎计算机、数学等相关专业的同学进入课题组进行学习和研究。本课题组将为学生提供良好的工作环境、生活津贴，以及悉心的学术指导。同时欢迎和鼓励优秀本科生加入到本课题组中，接触目前最前沿的科学研究，发表高水平研究成果，为将来进一步深造或毕业工作做好准备并打好基础。对于优秀学生包括本科生，本课题组将提供去海外高校交流学习、参加国内外学术会议、以及到国内外知名大学继续深造的机会。目前，已推荐部分同学去海外著名学者课题组继续攻读博士学位，并给部分同学提供了去境外课题组进行数月学术交流的机会。
个人学术主页：https://www.researchgate.net/profile/Yuanyuan_Zhu2
教育背景
2009.8–2013.7: 香港中文大学系统工程与工程管理系,博士
2007.9–2009.7：哈尔滨工业大学计算机科学与技术学院,硕士
2003.9–2007.7：哈尔滨工业大学计算机科学与技术学院,学士
工作经验
2013.8至今：3522集团的新网站软件工程国家重点实验室，副教授
教授课程
《高级语言程序设计》
《软件技术基础》
《高级软件工程》
《大数据处理分析》
《计算机新技术》
发表论文
Journal Papers
1. Yuanyuan Zhu, Qian Zhang, Lu Qin, Lijun Chang, Jeffrey Xu Y. Cohesive Subgraph Search Using Keywords in Large Networks. TKDE , accepted, 2020，(CCF A).
2. Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu ,Hong Cheng. Answering Top-k Graph Similarity Queries in Graph Databases, TKDE. ISSN: 1041-4347. DOI: 10.1109/TKDE.2019.2906608. (CCF A)
3. Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin, Jeffrey Xu Yu. Discovering large conserved functional components in global network alignment by graph matching. BMC Genomics. (SCI，IF4.275)
4. Yuanyuan Zhu, Hao Zhang, Lu Qin, Hong Cheng. Efficient MapReduce algorithms for triangle listing in billion-scale graphs. Distributed and Parallel Databases 35(2): 149-176 (2017). (CCF C)
5. Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, and Xuemin Lin. High Efficiency and Quality: Large Graphs Matching. The VLDB Journal (VLDBJ). [1] The VLDB Journal (VLDBJ). June 2013, Volume 22, Issue 3, pp 345-368. (CCF A)
6. Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu. Graph Matching: Applications and Algorithms. Communications of the CCF, 8(11): 21-27, 2012. (Special Issue)
7. Jizhou Luo, JianZhong Li, Hong Gao, and Yuanyuan Zhu. A High Dimensional Index Based on Relative Distance Hashing Method. Journal of Frontiers of Computer Science and Technology, 2(1): 32-44, 2008. (In Chinese)
Conference Papers
1. Qiyan Li, Yuanyuan Zhu, Jeffrey Xu Yu. Skyline Cohesive Group Queries in Large Road-social Networks. ICDE2020. (CCF A).
2. Yuanyuan Zhu, Kailin Ding, Ming Zhong and Lijia Wei. STIM: Scalable Time-Sensitive Influence Maximization in Large Social Networks . The 25th International Conference on Database Systems for Advanced Applications (DASFAA), 2020. (CCF B)
3. Ming Zhong, Huanyu Cheng, Ying Wang, Yuanyuan Zhu, Tieyun Qian, Jianxin Li. Towards both Local and Global Query Result Diversification. DASFAA (2) 2019: 464-481. (CCF B)
4. Chaoqun Yang, Yuanyuan Zhu, Ming Zhong, Rongrong Li. Semantic Similarity Computation in Knowledge Graphs: Comparisons and Improvements. ICDE Workshops 2019: 249-252
5. Jinbin Huang, Xin Huang, Yuanyuan Zhu, Jianliang Xu. Parameter-free Structural Diversity Search. Accepted by Wise 2019. (Best paper award) (CCF C).
6. Yuanyuan Zhu, Qian Zhang, Lu Qin, Lijun Chang, Jeffrey Xu Yu. Querying Cohesive Subgraphs by Keywords. ICDE, 2018, 1324-1327. (CCF A)
7. Ming Zhong, Ying Wang, Yuanyuan Zhu. Coverage-Oriented Diversification of Keyword Search Results on Graphs. The 23nd International Conference on Database Systems for Advanced Applications(DASFAA), 2018: 166-183. (CCF B)
8. Ming Zhong, Qian Zeng, Yuanyuan Zhu. Jianxin Li, Tieyun Qian, Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks. The 23nd International Conference on Database Systems for Advanced Applications (DASFAA）, 2018: 355-371. (CCF B)
9. Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin, Jeffrey Xu Yu. GMAlign:a new network aligner for revealing large conserved functional components. BIBM, 2017. (CCF B)
10. Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, and Jeffrey Xu Yu,Efficient Local Clustering Coefficient Estimation in Massive Graphs, DASFAA 2017. (CCF B)
11. Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, and Jeffrey Xu Yu, Efficient Triangle Listing for Billion-Scale Graphs，IEEE BigData, pp. 813-822,2016 (CCF C)
12. Xia Wu, Yuanyuan Zhu, Shengchao Xiong, Yuwei Peng, Zhiyong Peng. A New Similarity Measure Between Semantic Trajectories Based on Road Networks. APWeb 2015: 522-535. 2014. (CCF C)
13. Ying Wang, Ming Zhong, Yuanyuan Zhu, Xuhui Li, Tieyun Qian. Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. APWeb/WAIM (1) 2017: 541-555. (CCF C)
14. Yuanyuan Zhu, Jeffrey Xu Yu, and Lu Qin. Leveraging Graph Dimensions in Online Graph Search. Proceedings of the VLDB Endowment (PVLDB）, Volume 8, No. 1,pp.85 - 96, 2014.
15. Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, and Xuemin Lin. Graph Classification: A Diversified Discriminative Feature Selection Approach. Proceedings of the 21th ACM Conference on Information and Knowledge Management (CIKM'12), pp. 205-214, 2012. (Acceptance rate: 146/1088=13.4%)
16. Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, and Hong Cheng. Finding Top-K Similar Graphs in Graph Databases. Proceedings of the 15th International Conference on Extending Database Technology (EDBT'12), pp. 456-467, 2012.
17. Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, and Xuemin Lin. High Efficiency and Quality: Large Graphs Matching. Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11), pp. 1755-1764, 2011.
18. Lijun Chang, Jeffrey Xu Yu, Lu Qin, Yuanyuan Zhu, and Haixun Wang. Finding Information Nebula over Large Networks. Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11), pp. 1465-1474, 2011.
19. Yuanyuan Zhu, Jizhou Luo, Hong Gao, and Jianzhong Li. Using Schema Based Substructure to Compress Biological XML Data. Proceedings of the 25th National Database Conference (NDBC’08), pp. 360-365, 2008. (Best Paper Award)
20.Jizhou Luo, Guofeng Feng, Yuanyuan Zhu, Jianzhong Li, and Hong Gao. Probability Based Coverage Algorithms for Wireless Sensor Networks. In Proc. of 4th International Workshop of Graph Labeling (IWGL’08), pp. 92-95, 2008.
科研课题
目前的主要研究方向如下：
图数据库上的相似图查询
大规模信息网络的联合实体识别
社交网络上子模式搜索
大数据管理和分析
软件代码挖掘和软件重用检测
1.关键词驱动的紧密子图查询研究、 国家自然科学基金面上项目、2020-2023、主持
2.动态异质大图匹配模型及算法研究、国家自然科学基金项目、2016-2018、主持。
3.基于实体链接的多社交网络信息传播模型和算法研究，湖北自然科学基金面上项目，2018-2019，主持
4.基于图模型的大规模信息网络联合实体识别理论与关键技术研究、湖北省自然科学基金青年基金项目、2015-2016、主持。
5.基于图匹配方法的信息网络分布式智能整合关键技术研究、苏州市科技发展计划项目、2014-2017、主持。
研究团队
https://www.researchgate.net/profile/Yuanyuan_Zhu2
知识产权
2011 Postgraduate Student Grants for Overseas Academic Activities
2011 ACM CIKM Travel Grants Award
2009 Hong Kong Postgraduate Studentship
2009年黑龙江省优秀硕士毕业生
2008年华为奖学金
2007年哈尔滨工业大学优秀本科毕业生
2006年美国大学生数学建模竞赛（MCM）一等奖
2007年美国大学生数学建模竞赛（MCM）二等奖
2007年第四届全国研究生数学建模竞赛（NPMCM）一等奖
2006年第一届微软小学者奖学金，全国共30位获奖者，受邀访问微软亚洲研究院
2003 国家二等奖学金
学术服务
现为中国计算机学会数据库专委会委员，ACM SIGMOD China 专委会委员，ACM会员，中国计算机学会会员 。担任国内外顶级期刊和学术会议IEEE Transactions on Knowledge and Data Engineering(CCF A 类，SCI)、World Wide Web Journal (CCF C 类，SCI)、International Journal of Cooperative Information System、Data Science and Engineering、软件学报计算机学报等审稿人。担任 ICDM International Workshop on Graph Analytics以及 2018 –ACM SIGMOD China Forum, 2018的程序委员会主席。担任30+以上国际会议的程序委员会委员：
–CCF A
•The 46th International Conference on Very Large Data Bases（VLDB）, 2020
•The 26th ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD)，2020
•The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020
•The 43rd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
•The 25th ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD)，2019
•The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
–CCF B
•The 25th International Conference on Database Systems for Advanced Applications (DASFAA), 2020
•The 28th ACM Conference on Information and Knowledge Management (CIKM), 2019
•The 24th International Conference on Database Systems for Advanced Applications (DASFAA), 2019
•The 23th International Conference on Database Systems for Advanced Applications (DASFAA), 2018
•The 26th ACM Conference on Information and Knowledge Management (CIKM), 2017
•The 20th International Conference on Database Systems for Advanced Applications (DASFAA), 2015
–CCF C
•The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020
•The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
•The 20th Asia Pacific Web Conference (APWeb), 2018
.....
成果展示
其他
