团队介绍
何明教授

基本信息

Contact Information

  • 所在单位:浙江大学
  • 职位:计算机软件研究所副所长
  • 教育经历:浙江大学博士
  • 研究方向:数据库、大数据管理与分析、DB赋能的AI技术

联系方式

Contact Information

  • 通讯/办公地址 :浙江大学玉泉校区曹光彪大楼502室
  • 邮编 : 321000
  • 邮箱 : gaoyj@zju.edu.cn / raygaoyj@gmail.com

团队简介

Team Introduction

高云君,教授,博士生导师,国家自然科学基金优秀青年科学基金获得者,入选浙江省151人才工程第二层次。2008年3月获浙江大学计算机科学与技术专业工学博士学位,而后在新加坡、加拿大、香港、澳大利亚等高校做博士后/访问研究,2010年3月以“海外引进”人才到浙江大学计算机科学与技术学院任教。研究方向为数据库、大数据管理与分析、DB赋能的AI技术。已在国内外顶级/重要学术期刊或会议TODS、VLDBJ、TKDE、TOIS、TMC、SIGMOD、VLDB、ICDE、SIGIR、AAAI等发表论文130余篇,其中ACM/IEEE汇刊论文26篇,CCF A类期刊/会议论文60余篇,SCI他引448次(近五年),出版中英文学术专著4部,以第一发明人授权专利11项;部分成果被国内外学术专著、文献综述、百科全书、博/硕士学位论文、数据库原型系统和高校研究生课程所引用/使用,部分技术已应用于网易LOFTER与云音乐、阿里云原生数据库POLARDB以及芜湖汽车产业技术研究院的汽车大数据研究云平台,并获2019年中国电子学会科学技术奖科技进步特等奖、ICDE 2019优秀论文、APWeb-WAIM 2018最佳论文奖、2017年CCF优秀博士学位论文奖(导师,博士生:陈璐)、2016年浙江省优秀硕士学位论文(导师,硕士生:崔会永)、2016年教育部高等学校优秀成果科技进步奖一等奖、SIGMOD 2015最佳论文提名、ICDE 2015优秀论文、2011年浙江省科学技术一等奖等。先后主持国家自然科学基金优秀青年科学基金项目、国家重点研发计划子课题、973计划子课题、国家自然科学基金面上项目、国家自然科学基金联合基金重点支持项目课题等国家和省部级纵向项目10余项。现为CCF数据库专委委员,CCF高级会员,ACM、IEEE会员,JCST、DAPD、FCS、WWWJ、IJDSN等SCI期刊(青年)编委/副编辑(Associate Editor)/专刊特邀编辑,TODS、VLDBJ、TKDE、TMC、TPDS、《软件学报》等30余个国内外顶级/重要学术期刊评审专家,SIGMOD、VLDB、ICDE、SIGIR、CIKM、ICDCS、DASFAA、SIGSPATIAL、SSTD、MDM、WISE等90余个顶级/重要学术会议(共同/Workshop/Tutorial/出版/宣传/本地)主席/(资深)程序委员会委员/评审员,浙江省大数据智能计算重点实验室副主任及方向带头人,浙江省计算机学会大数据专家委员会副主任。

研究方向

Research Direction

研究兴趣为数据库、大数据管理与分析、DB赋能的AI技术,主要包括: · 空间/时空数据库 · 度量空间数据管理 · 不完整/不确定数据库 · 数据库可用性 · 地理社交数据处理 · 大图数据管理与挖掘 · DB赋能的机器学习 · 数据质量与定价
团队展示

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项目情况

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科研项目

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研究成果
[学术专著与综述论文] (带*为通讯作者,带#为指导学生) Lu Chen#, Yunjun Gao*, Xuan Song#, Zheng Li#, Xiaoye Miao#, and Christian S. Jensen. Indexing Metric Spaces for Exact Similarity Search. CoRR abs/2005.03468, 2020. [Paper] [Codes & Datasets] 江大伟, 高云君, 陈刚*. 大数据管理系统. 人工智能丛书, 化学工业出版社, 2019. (248页, 30.3万字, “中国制造2025”出版工程, 2019年4月出版, 责任编辑:宋辉) Yunjun Gao* and Xiaoye Miao#. Query Processing over Incomplete Databases. Synthesis Lectures on Data Management, Morgan & Claypool Publishers, 10(2): 1-122, 2018. (https://doi.org/10.2200/S00870ED1V01Y201807DTM050) 高云君*, 陈璐#. 度量空间数据管理. ISBN 978-7-111-59301-0, 机械工业出版社, 2018. (224页, 14.8万字, 大数据管理丛书, 2018年3月出版, 责任编辑:佘洁) Yunjun Gao* and Qing Liu#. Preference Query Analysis and Optimization. Springer Briefs in Computer Science, Springer, ISBN 978-981-10-6634-4, pp. 1-110, 2017. (http://www.springer.com/cn/book/9789811066344) Xiaoye Miao#, Yunjun Gao*, Su Guo#, and Wanqi Liu#. Incomplete Data Management: A Survey. Frontiers of Computer Science (FCS), 12(1): 4-25, 2018. (优青论坛特邀论文) 柳晴#, 高云君*. 查询结果可用性研究综述. 计算机研究与发展, 54(6):1198-1212, 2017. (优青论坛特邀论文) 高云君*, 陈璐#. 度量空间数据管理. 中国计算机学会通讯, 12(8): 26-31, 2016. (特邀论文) 蒋涛, 高云君*, 张彬, 周傲英, 乐光学. 不确定数据查询处理. 电子学报, 41(5): 966-976, 2013. [国际学术期刊论文] (带*为通讯作者,带#为指导学生) Congcong Ge#, Yunjun Gao*, Xiaoye Miao*#, Bin Yao, and Haobo Wang. A Hybrid Data Cleaning Framework Using Markov Logic Networks. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2020.3012472, 2020. Yunjun Gao*, Tianming Zhang#, Linshan Qiu#, Qingyuan Linghu#, and Gang Chen. Time-respecting Flow Graph Pattern Matching on Temporal Graphs. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2020.2968901, 2020. Qing Liu#, Ziyuan Zhu#, Jianliang Xu, and Yunjun Gao*. MaxiZone: Maximizing Influence Zone over Geo-Textual Data. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2020.2968908, 2020. Xiaoye Miao#, Yunjun Gao*, Su Guo#, Lu Chen#, Jianwei Yin, and Qing Li. Answering Skyline Queries over Incomplete Data with Crowdsourcing. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2019.2946798, 2019. Sai Wu, Zhifei Pang, Gang Chen, Yunjun Gao, Cenjiong Zhao, and Shili Xiang. NEIST: A Neural-Enhanced Index for Spatio-Temporal Queries. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2019.2945947, 2019. Hao Huang#, Qian Yan, Lu Chen#, Yunjun Gao*, and Christian S. Jensen. Statistical Inference of Diffusion Networks. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2019.2930060, 2019. Hao Huang#, Qian Yan, Wei Lu, Huaizhong Lin*, Yunjun Gao*, and Lei Chen. LERI: Local Exploration for Rare-Category Identification. IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(9): 1761-1772, 2020. Xiaoye Miao#, Yunjun Gao*, Guanhua Mai#, Gang Chen, and Qing Li. On Efficiently Monitoring Continuous Aggregate k Nearest Neighbors in Road Networks. IEEE Transactions on Mobile Computing (TMC), 19(7): 1664-1676, 2020. Tianming Zhang#, Yunjun Gao*, Lu Chen#, Wei Guo#, Shiliang Pu, Baihua Zheng, and Christian S. Jensen. Efficient Distributed Reachability Querying of Massive Temporal Graphs. The VLDB Journal (VLDBJ), 28(6): 871-896, 2019. Xiaoye Miao#, Yunjun Gao*, Linlin Zhou#, Wei Wang, and Qing Li. Optimizing Quality for Probabilistic Skyline Computation and Probabilistic Similarity Search. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(9): 1741-1755, 2018. Xiaoye Miao#, Yunjun Gao*, Su Guo#, and Gang Chen. On Efficiently Answering Why-not Range-Based Skyline Queries in Road Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(9): 1697-1711, 2018. Shaojie Qiao, Nan Han*, Yunjun Gao*, Rong-Hua Li, Jianbin Huang, Jun Guo, Louis Alberto Gutierrez, and Xindong Wu. A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(9): 1638-1651, 2018. Jingwen Zhao#, Yunjun Gao*, Gang Chen, and Rui Chen#. Towards Efficient Framework for Time-aware Spatial Keyword Queries on Road Networks. ACM Transactions on Information Systems (TOIS), 36(3): 24:1-24:48, 2018. Lu Chen#, Yunjun Gao*, Aoxiao Zhong#, Christian S. Jensen, Gang Chen, and Baihua Zheng. Indexing Metric Uncertain Data for Range Queries and Range Joins. The VLDB Journal (VLDBJ), 26(4): 585-610, 2017. (国际学术会议论文[21]扩展版本) Yunjun Gao*, Xiaoye Miao#, Gang Chen, Baihua Zheng, Deng Cai, and Huiyong Cui#. On Efficiently Finding Reverse k Nearest Neighbors over Uncertain Graphs. The VLDB Journal (VLDBJ), 26(4): 467-492, 2017. Gang Chen, Jingwen Zhao#, Yunjun Gao*, Lei Chen, and Rui Chen#. Time-Aware Boolean Spatial Keyword Queries. EEE Transactions on Knowledge and Data Engineering (TKDE), 29(11): 2601-2614, 2017. Gang Chen, Keyu Yang#, Lu Chen#, Yunjun Gao*, Baihua Zheng, and Chun Chen. Metric Similarity Joins Using MapReduce. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(3): 656-669, 2017. Lu Chen#, Yunjun Gao*, Xinhan Li#, Christian S. Jensen, and Gang Chen. Efficient Metric Indexing for Similarity Search and Similarity Joins. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(3): 556-571, 2017. (国际学术会议论文[25]扩展版本) Qin Liu#, Yunjun Gao*, Gang Chen, Baihua Zheng, and Linlin Zhou#. Answering Why-not and Why Questions on Reverse Top-k Queries. The VLDB Journal (VLDBJ), 25(6): 867-892, 2016. (国际学术会议论文[23]扩展版本) Xiaoye Miao#, Yunjun Gao, Gang Chen*, Baihua Zheng, and Huiyong Cui#. Processing Incomplete k Nearest Neighbor Search. IEEE Transactions on Fuzzy Systems (TFS), 24(6): 1349-1363, 2016. Yunjun Gao, Qing Liu#, Gang Chen*, Linlin Zhou#, and Baihua Zheng. Finding Causality and Responsibility for Probabilistic Reverse Skyline Query Non-answers. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(11): 2974-2987, 2016. Yunjun Gao*, Jingwen Zhao#, Baihua Zheng, and Gang Chen. Efficient Collective Spatial Keyword Query Processing on Road Networks. IEEE Transactions on Intelligent Transportation Systems (TITS), 17(2): 469-480, 2016. Lu Chen#, Yunjun Gao*, Gang Chen, and Haida Zhang#. Metric All-k-Nearest-Neighbor Search. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1): 98-112, 2016. Xiaoye Miao#, Yunjun Gao*, Baihua Zheng, Gang Chen, and Huiyong Cui#. Top-k Dominating Queries on Incomplete Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1): 252-266, 2016. Yunjun Gao*, Lu Chen#, Xinhan Li, Bin Yao, and Gang Chen. Efficient k-Closest Pair Queries in General Metric Spaces. The VLDB Journal (VLDBJ), 24(3): 415-439, 2015. Yunjun Gao*, Xu Qin#, Baihua Zheng, and Gang Chen. Efficient Reverse Top-k Boolean Spatial Keyword Queries on Road Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(5): 1205-1218, 2015. Xi Guo, Baihua Zheng, Yoshiharu Ishikawa, and Yunjun Gao*. Direction-Based Surrounder Queries for Mobile Recommendations. The VLDB Journal (VLDBJ), 20(5): 743-766, 2011. Yunjun Gao*, Baihua Zheng, Gencai Chen, Qing Li, and Xiaofa Guo. Continuous Visible Nearest Neighbor Query Processing in Spatial Databases. The VLDB Journal (VLDBJ), 20(3): 371-396, 2011. (国际学术会议论文[34]扩展版本) Yunjun Gao*, Baihua Zheng, Gang Chen, Chun Chen, and Qing Li. Continuous Nearest Neighbor Search in the Presence of Obstacles. ACM Transactions on Database Systems (TODS), 36(2), Article 9, 2011. (国际学术会议论文[32]扩展版本) Yunjun Gao*, Baihua Zheng, Gencai Chen, Wang-Chien Lee, Ken C. K. Lee, and Qing Li. Visible Reverse k-Nearest Neighbor Query Processing in Spatial Databases. IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(9): 1314-1327, 2009. (国际学术会议论文[33]扩展版本) Yunjun Gao*, Baihua Zheng, Gencai Chen, and Qing Li. Optimal-Location-Selection Query Processing in Spatial Databases. IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(8): 1162-1177, 2009. [国际学术会议论文] (带*为通讯作者,带#为指导学生) Qing Liu#, Minjun Zhao#, Xin Huang, Jianliang Xu, and Yunjun Gao*. Truss-based Community Search over Large Directed Graphs. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 2183-2197, 2020. Ziquan Fang#, Yunjun Gao*, Lu Pan#, Lu Chen#, Xiaoye Miao#, and Christian S. Jensen. CoMing: A Real-time Co-Movement Mining System for Streaming Trajectories. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 2777-2780, 2020. (Demo) Keyu Yang#, Yunjun Gao*, Lei Liang#, Bin Yao, Shiting Wen, and Gang Chen. Towards Factorized SVM with Gaussian Kernels over Normalized Data. Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), pp. 1453-1464, 2020. Qing Liu#, Yifan Zhu#, Minjun Zhao#, Xin Huang, Jianliang Xu, and Yunjun Gao*. VAC: Vertex-Centric Attributed Community Search. Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), pp. 937-948, 2020. Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, and Yunjun Gao. Statistical Estimation of Diffusion Network Topologies. Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), pp. 625-636, 2020. Lu Chen#, Yunjun Gao*, Ziquan Fang#, Xiaoye Miao#, Christian S. Jensen, and Chenjuan Guo. Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories. Proceedings of the 45th International Conference on Very Large Data Bases (VLDB), pp. 1208-1220, 2019. Congcong Ge#, Yunjun Gao*, Xiaoye Miao#, Lu Chen#, Christian S. Jensen, and Ziyuan Zhu#. IHCS: An Integrated Hybrid Cleaning System. Proceedings of the 45th International Conference on Very Large Data Bases (VLDB), pp. 1874-1877, 2019. (Demo) Lu Chen#, Yunjun Gao*, Yuanliang Zhang#, Christian S. Jensen, and Bolong Zheng. Incremental Clustering Algorithms on Star-Schema Heterogeneous Graphs. Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE), pp. 256-267, 2019. (优秀论文) Keyu Yang#, Yunjun Gao*, Rui Ma#, Lu Chen#, Sai Wu, and Gang Chen. DBSCAN-MS: Distributed Density-Based Clustering in Metric Spaces. Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE), pp. 1346-1357, 2019. Lu Chen#, Yunjun Gao*, Zixian Liu#, Xiaokui Xiao, Christian S. Jensen, and Yifan Zhu#. PTRider: A Price-and-Time-Aware Ridesharing System. Proceedings of the 44th International Conference on Very Large Data Bases (VLDB), pp. 1938-1941, 2018. (Demo) Xin Ding#, Lu Chen#, Yunjun Gao*, Christian S. Jensen, and Hujun Bao. UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics. Proceedings of the 44th International Conference on Very Large Data Bases (VLDB), pp. 787-799, 2018. Lu Chen#, Yunjun Gao*, Yuanliang Zhang#, Sibo Wang, and Baihua Zheng. Scalable Hypergraph-based Image Retrieval and Tagging System. Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pp. 257-268, 2018. Jingwen Zhao#, Yunjun Gao*, Gang Chen, and Rui Chen#. Why-not Questions on Top-k Geo-Social Keyword Queries in Road Networks. Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pp. 965-976, 2018. Lu Chen#, Qilu Zhong#, Xiaokui Xiao, Yunjun Gao*, Pengfei Jin#, and Christian S. Jensen. Price-and-Time-Aware Dynamic Ridesharing. Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pp. 1061-1072, 2018. Lu Chen#, Yunjun Gao*, Baihua Zheng, Christian S. Jensen, Hanyu Yang#, and Keyu Yang#. Pivot-based Metric Indexing. Proceedings of the 43rd International Conference on Very Large Data Bases (VLDB), pp. 1058-1069, 2017. Jingwen Zhao#, Yunjun Gao*, Gang Chen, Christian S. Jensen, Rui Chen#, and Deng Cai. Reverse Top-k Geo-Social Keyword Queries in Road Networks. Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE), pp. 387-398, 2017. Qing Liu#, Yunjun Gao*, Linlin Zhou#, and Gang Chen. IS2R: A System for Refining Reverse Top-k Queries. Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE), pp. 387-398, 2017. (Demo) Xiaoye Miao#, Yunjun Gao*, Gang Chen, Huiyong Cui#, Chong Guo#, and Weida Pan#. SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information. Proceedings of the 42nd International Conference on Very Large Data Bases (VLDB), pp. 1509-1512, 2016. (Demo) Lu Chen#, Yunjun Gao*, Kai Wang#, Christian S. Jensen, and Gang Chen. Answering Why-not Questions on Metric Probabilistic Range Queries. Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), pp. 767-778, 2016. Dong Xie, Guanru Li, Bin Yao, Xuan Wei, Xiaokui Xiao, Yunjun Gao, and Minyi Guo. Practical Private Shortest Path Computation Based on Oblivious Storage. Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), pp. 361-372, 2016. Lu Chen#, Yunjun Gao*, Xinhan Li#, Christian S. Jensen, Gang Chen, and Baihua Zheng. Indexing Metric Uncertain Data for Range Queries. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 951-965, 2015. Hui Li, Sourav S. Bhowmick, Jiangtao Cui, Yunjun Gao, and Jianfeng Ma. GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data (SIGMOD), pp. 1525-1537, 2015. (最佳论文提名) Yunjun Gao*, Qing Liu#, Gang Chen, Baihua Zheng, and Linlin Zhou#. Answering Why-not Questions on Reverse Top-k Queries. Proceedings of the 41st International Conference on Very Large Data Bases (VLDB), pp. 738-749, 2015. Lu Chen#, Yunjun Gao*, Zhihao Xing#, Christian S. Jensen, and Gang Chen. I2RS: A Distributed Geo-Textual Image Retrieval and Recommendation System. Proceedings of the 41st International Conference on Very Large Data Bases (VLDB), pp. 1884-1895, 2015.(Demo) Lu Chen#, Yunjun Gao*, Xinhan Li#, Christian S. Jensen, and Gang Chen. Efficient Metric Indexing for Similarity Search. Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), pp. 591-602, 2015. (优秀论文) Hao Huang#, Yunjun Gao, Kevin Chiew, Lei Chen, and Qinming He. Towards Effective and Efficient Mining of Arbitrary Shaped Clusters. Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE), pp. 28-39, 2014. Hao Huang#, Yunjun Gao*, Lu Chen#, Rui Li, Kevin Chiew, and Qinming He. Browse with a Social Web Directory. Proc. of the ACM SIGIR Int'l conf. on research and development in Information Retrieval (SIGIR), pp. 865-868, 2013. (Short) Yunjun Gao*, Lu Chen#, Rui Li, and Gang Chen. Mapping Queries to Questions: Towards Understanding Users' Information Needs. Proc. of the ACM SIGIR Int'l conf. on research and development in Information Retrieval (SIGIR), pp. 977-980, 2013.(Short) Hao Huang#, Yunjun Gao*, Kevin Chiew, Qinming He, and Lu Chen#. Commodity Query by Snapping. Proc. of the ACM SIGIR Int'l conf. on research and development in Information Retrieval (SIGIR), pp. 985-988, 2013. (Short) Yunjun Gao*, Jiacheng Yang#, Gang Chen, Baihua Zheng, and Chun Chen. On Efficient Obstructed Reverse Nearest Neighbor Query Processing. Proc. of the 19th ACM SIGSPATIAL Int'l Symposium on Advances in Geographic Information Systems, pp. 191-200, 2011. Gang Chen, He Bai, Lidan Shou, Ke Chen, and Yunjun Gao. UPS: Efficient Privacy Protection in Personalized Web Search. Proc. of the ACM SIGIR Int'l conf. on research and development in Information Retrieval (SIGIR), pp. 615-624, 2011. Yunjun Gao* and Baihua Zheng. Continuous Obstructed Nearest Neighbor Queries in Spatial Databases. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 577-590, 2009. Yunjun Gao*, Baihua Zheng, Gencai Chen, Wang-Chien Lee, Ken C. K. Lee, and Qing Li. Visible Reverse k-Nearest Neighbor Queries. Proceedings of the 25th International Conference on Data Engineering (ICDE), pp. 1203-1206, 2009. (Short) Yunjun Gao*, Baihua Zheng, Wang-Chien Lee, and Gencai Chen. Continuous Visible Nearest Neighbor Queries. Proceedings of the 12th International Conference on Extending Database Technology (EDBT), pp. 144-155, 2009. Yunjun Gao*, Jing Zhang, Gencai Chen, Qing Li, Shen Liu, and Chun Chen. Optimal-Nearest-Neighbor Queries. Proceedings of the 24th International Conference on Data Engineering (ICDE),pp. 1454-1456, 2008. (Short) [国内学术期刊论文] (带*为通讯作者,带#为指导学生) 信俊昌, 王国仁*, 李国徽, 高云君, 张志强. 数据模型及其发展历程. 软件学报, 30(1): 142-163, 2019. 乔少杰, 韩楠*, 金澈清, 高云君, 李天瑞, 唐常杰, 康健. 基于Multi-agent的分布式文本聚类模型. 计算机学报, 41(8): 1709-1721, 2018. 乔少杰, 李天瑞, 韩楠*, 高云君, 元昌安, 王晓腾, 唐常杰. 大数据环境下移动对象自适应轨迹预测模型. 软件学报, 26(11): 2869-2883, 2015. 张彬, 蒋涛*, 高云君, 乐光学. 度量空间中的Top-k反向Skyline查询算法. 计算机研究与发展, 51(3): 627-636, 2014. 蒋涛, 张彬, 高云君*, 乐光学. 高效的Top-k相互Skyline查询算法. 计算机研究与发展, 50(5): 986-997, 2013. 陈璐#, 高云君*, 柳晴, 陈刚. 受限相互最近邻查询处理. 计算机研究与发展, 49(Suppl.): 140-147, 2012.