高雲君

高雲君，男，教授，博士生導師，國家自然科學基金優秀青年科學基金獲得者，入選浙江省151人才工程第二層次。

基本介紹

  • 中文名：高雲君
  • 職業：教師
  • 畢業院校：浙江大學
  • 學位/學歷：博士
  • 專業方向：大數據管理與分析
  • 就職院校：浙江大學
研究方向,個人經歷,主講課程,學術成果,榮譽獎項,

研究方向

研究興趣為資料庫、大數據管理與分析、DB賦能的AI技術，主要包括：
空間/時空資料庫
度量空間數據管理
不完整/不確定資料庫
資料庫可用性
地理社交數據處理
大圖數據管理與挖掘
DB賦能的機器學習
數據質量與定價

個人經歷

2008年3月獲浙江大學計算機科學與技術專業工學博士學位，而後在新加坡、加拿大、香港、澳大利亞等高校做博士後/訪問研究，2010年3月以“海外引進”人才到浙江大學計算機科學與技術學院任教。
學術兼職服務
[編委/（青年）副編輯 (Associate Editor)]
  • Distributed and Parallel Databases (DAPD), 2018-Present
  • Frontiers of Computer Science (FCS),2019-Present
  • Journal of Computer Science and Technology (JCST),2019-Present
[專刊特邀編輯]
  • World Wide Web Journal: Internet and Web Information Systems (WWWJ), 2017-2018
  • Data Science and Engineering (DSE), 2017-2018
  • International Journal of Distributed Sensor Networks (IJDSN), 2014-2015
[國內外知名學術會議組委]
  • ICWL 2020、IEEE ICBK 2019、SIGMOD China 2019、MLDQ 2019、WISE 2017程式委員會共同主席
  • APWeb-WAIM 2020、WISE 2019Panel/Tutorial共同主席
  • VLDB Summer School 2018學術委員會共同主席
  • MDM 2019、WAIM 2013 Workshop共同主席
  • NDBC 2017、DASFAA 2015宣傳共同主席
  • VLDB 2014本地Poster主席
  • WAIM 2010論文集出版主席
[國內外知名學術期刊評審員]
  • ACM Transactions on Database Systems (TODS)
  • The VLDB Journal (VLDBJ)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Mobile Computing (TMC)
  • IEEE Transactions on Cloud Computing (TCC)
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • ACM Transactions on Autonomous and Adaptive Systems (TAAS)
  • Data Mining and Knowledge Discovery (DMKD)
  • Information Systems (IS)
  • Information Sciences (INS)
  • GeoInformatica
  • World Wide Web Journal: Internet and Web Information Systems (WWWJ)
  • Knowledge and Information Systems (KAIS)
  • Journal of Computer Science and Technology (JCST)
  • Knowledge-Based Systems (KBS)
  • Expert Systems with Applications (ESWA)
  • International Journal of Geographical Information Science (IJGIS)
  • IEEE Access
  • Future Generation Computer Systems (FGCS)
  • Frontiers of Computer Science (FCS)
  • Journal of Systems and Software (JSS)
  • 軟體學報
  • 計算機學報
[國內外學術會議（資深）程式委員會委員]
  • SIGMOD 2018
  • VLDB 2019, 2020, 2021
  • ICDE 2018, 2019, 2020
  • SIGIR 2020
  • CIKM 2017, 2018
  • ICDCS 2020
  • ACM SIGSPATIAL GIS 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
  • DASFAA 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
  • DEXA 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018
  • APWeb 2009, 2010, 2013, 2014, 2016
  • WAIM 2009, 2011, 2012, 2013, 2014, 2015, 2016
  • MDM 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
  • WISE 2010, 2015, 2016, 2017, 2018, 2019
  • APWeb/WAIM 2017, 2018, 2019, 2020
  • SSTD 2019
  • PAKDD 2020
  • ER 2018, 2019, 2020
  • ADMA 2018, 2019
  • GeoRich 2018
  • NDBC 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020

主講課程

· 2019.03-至今 智慧型技術、系統與套用 (面向工程博士生)
· 2017.07-至今 計算機科學與技術研究方法 (面向碩博生)
·2016.03-至今 計算機科學思想史(面向本科生)
·2012.11-至今 計算機科學前沿(面向碩博生)
·2011.03-至今 資料庫系統(面向本科生)
·2010.03-至今 高級資料庫技術(面向碩博生)

學術成果

[學術專著與綜述論文](帶*為通訊作者，帶#為指導學生)
  1. 江大偉,高雲君,陳剛*.
    大數據管理系統.
    人工智慧叢書, 化學工業出版社, 2019. (248頁, 30.3萬字, “中國製造2025”出版工程, 2019年4月出版, 責任編輯：宋輝)
  2. Yunjun Gao*and Xiaoye Miao.
    Query Processing over Incomplete Databases.
    Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ,2018.
  3. 高雲君*, 陳璐.
    度量空間數據管理., 機械工業出版社, 2018. (224頁, 14.8萬字, 大數據管理叢書, 2018年3月出版, 責任編輯：佘潔)
  4. Yunjun Gao*and Qing Liu.
    Preference Query Analysis and Optimization.
    Springer Briefs in Computer Science, Springer, 2017.
  5. Xiaoye Miao,Yunjun Gao*, Su Guo, and Wanqi Liu.
    Incomplete Data Management: A Survey.
    Frontiers of Computer Science(FCS), 2018.(優青論壇特邀論文)
  6. 柳晴,高雲君*.
    查詢結果可用性研究綜述.
    計算機研究與發展, 2017. (優青論壇特邀論文)
  7. 高雲君*, 陳璐.
    度量空間數據管理.
    中國計算機學會通訊, 2016.(特邀論文)
  8. 蔣濤,高雲君*, 張彬, 周傲英, 樂光學.
    不確定數據查詢處理.
    電子學報, 2013.
[國際學術期刊論文](帶*為通訊作者，帶#為指導學生)
  1. Yunjun Gao*,Tianming Zhang, Linshan Qiu, Qingyuan Linghu, and Gang Chen.
    Time-respecting Flow Graph Pattern Matching on Temporal Graphs.
    To appear inIEEE Transactions on Knowledge and Data Engineering(TKDE), , 2020.
  2. Qing Liu,Ziyuan Zhu, Jianliang Xu, andYunjun Gao*.
    MaxiZone: Maximizing Influence Zone over Geo-Textual Data.
    To appear inIEEE Transactions on Knowledge and Data Engineering(TKDE), 2020.
  3. Xiaoye Miao,Yunjun Gao*, Su Guo, Lu Chen, Jianwei Yin, and Qing Li.
    Answering Skyline Queries over Incomplete Data with Crowdsourcing.
    To appear inIEEE Transactions on Knowledge and Data Engineering(TKDE), , 2019.
  4. Sai Wu, Zhifei Pang, Gang Chen,Yunjun Gao, Cenjiong Zhao, and Shili Xiang.
    NEIST: A Neural-Enhanced Index for Spatio-Temporal Queries.
    To appear inIEEE Transactions on Knowledge and Data Engineering(TKDE), , 2019.
  5. HaoHuang,Qian Yan, Lu Chen,Yunjun Gao*, and Christian S. Jensen.
    Statistical Inference of Diffusion Networks.
    To appear inIEEE Transactions on Knowledge and Data Engineering(TKDE), 2019.
  6. Xiaoye Miao,Yunjun Gao*, Guanhua Mai, Gang Chen, and Qing Li.
    On Efficiently Monitoring Continuous Aggregate k Nearest Neighbors in Road Networks.
    To appear inIEEE Transactions on Mobile Computing(TMC), 2019.
  7. HaoHuang,Qian Yan, Wei Lu, Huaizhong Lin*,Yunjun Gao*, and Lei Chen.
    LERI: Local Exploration for Rare-Category Identification.
    To appear inIEEE Transactions on Knowledge and Data Engineering(TKDE), 2019.
  8. Tianming Zhang,Yunjun Gao*, Lu Chen, Wei Guo, Shiliang Pu, Baihua Zheng, andChristian S. Jensen.
    Efficient Distributed Reachability Querying of Massive Temporal Graphs.
    The VLDB Journal(VLDBJ), ,2019.
  9. 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 andData Engineering(TKDE), ,2018.
  10. 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), ,2018.
  11. 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), ,2018.
  12. 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), 2018.
  13. 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), , 2017.(國際學術會議論文[21]擴展版本)
  14. 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), , 2017.
  15. 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), , 2017.
  16. 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), 2017.
  17. 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), , 2017.(國際學術會議論文[25]擴展版本)
  18. Qin Liu,Yunjun Gao*, Gang Chen, Baihua Zheng, and Linlin Zhou.
    Answering Why-not and Why Questions on Reverse Top-kQueries.
    The VLDB Journal(VLDBJ), 2016.(國際學術會議論文[23]擴展版本)
  19. Xiaoye Miao,Yunjun Gao, Gang Chen*, Baihua Zheng, and Huiyong Cui.
    Processing Incomplete k Nearest Neighbor Search.
    IEEE Transactions on Fuzzy Systems(TFS),, 2016.
  20. 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), , 2016.
  21. 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), 2016.
  22. Lu Chen,Yunjun Gao*, Gang Chen, and Haida Zhang.
    Metric All-k-Nearest-Neighbor Search.
    IEEE Transactions on Knowledge and Data Engineering(TKDE), 2016.
  23. Xiaoye Miao,Yunjun Gao*, Baihua Zheng, Gang Chen, and Huiyong Cui.
    Top-kDominating Queries on Incomplete Data.
    IEEE Transactions on Knowledge and Data Engineering(TKDE), 2016.
  24. Yunjun Gao*, Lu Chen, Xinhan Li, Bin Yao, and Gang Chen.
    Efficientk-Closest Pair Queries in General Metric Spaces.
    The VLDB Journal(VLDBJ), 2015.
  25. Yunjun Gao*, Xu Qin, Baihua Zheng, and Gang Chen.
    Efficient Reverse Top-kBoolean Spatial Keyword Queries on Road Networks.
    IEEE Transactions on Knowledge and Data Engineering(TKDE), 2015.
  26. Xi Guo, Baihua Zheng, Yoshiharu Ishikawa, andYunjun Gao*.
    Direction-Based Surrounder Queries for Mobile Recommendations.
    The VLDB Journal(VLDBJ), 2011.
  27. Yunjun Gao*, Baihua Zheng, Gencai Chen, Qing Li, and Xiaofa Guo.
    Continuous Visible Nearest Neighbor Query Processing in Spatial Databases.
    The VLDB Journal(VLDBJ), 2011.(國際學術會議論文[34]擴展版本)
  28. 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), Article 9, 2011.(國際學術會議論文[32]擴展版本)
  29. Yunjun Gao*, Baihua Zheng, Gencai Chen, Wang-Chien Lee, Ken C. K. Lee, and Qing Li.
    Visible Reversek-Nearest Neighbor Query Processing in Spatial Databases.
    IEEE Transactions on Knowledge and Data Engineering(TKDE), 2009.(國際學術會議論文[33]擴展版本)
  30. 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), 2009.
[國際學術會議論文](帶*為通訊作者，帶#為指導學生)
  1. Qing Liu, Minjun Zhao, Xin Huang, Jianliang Xu, andYunjun Gao*.
    Truss-based Community Search over Large Directed Graphs.
    To appear inProceedings of the ACM SIGMOD International Conference on Management of Data(SIGMOD), 2020.
  2. 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.
    To appear inProceedings of the ACM SIGMOD International Conference on Management of Data(SIGMOD), 2020.(Demo)
  3. Keyu Yang,Yunjun Gao*, Lei Liang, Bin Yao, Shiting Wen, and Gang Chen.
    Towards Factorized SVM with Gaussian Kernels over Normalized Data.
    To appear inProceedings of the 36th IEEE International Conference on Data Engineering(ICDE), 2020.
  4. Qing Liu, Yifan Zhu, Minjun Zhao, Xin Huang, Jianliang Xu, andYunjun Gao*.
    VAC: Vertex-Centric Attributed Community Search.
    To appear inProceedings of the 36th IEEE International Conference on Data Engineering(ICDE), 2020.
  5. Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, andYunjun Gao.
    Statistical Estimation of Diffusion Network Topologies.
    To appear inProceedings of the 36th IEEE International Conference on Data Engineering(ICDE), 2020.
  6. 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), 2019.
  7. Congcong Ge,Yunjun Gao*, Xiaoye Miao,Lu Chen, Christian S. Jensen, andZiyuan Zhu.
    IHCS: An Integrated Hybrid Cleaning System.
    Proceedings of the 45th International Conference on Very Large Data Bases(VLDB), 2019. (Demo)
  8. 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), 2019.(優秀論文)
  9. 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. 2019.
  10. 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), 2018. (Demo)
  11. 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), 2018.
  12. 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), 2018.
  13. Jingwen Zhao,Yunjun Gao*, Gang Chen, and Rui Chen.
    Why-not Questions on Top-kGeo-Social Keyword Queries in Road Networks.
    Proceedings of the 34th IEEE International Conference on Data Engineering(ICDE), 2018.
  14. 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), 2018.
  15. 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), 2017.
  16. Jingwen Zhao,Yunjun Gao*, Gang Chen, Christian S. Jensen, Rui Chen, and Deng Cai.
    Reverse Top-kGeo-Social Keyword Queries in Road Networks.
    Proceedings of the 33rd IEEE International Conference on Data Engineering(ICDE), 2017.
  17. Qing Liu,Yunjun Gao*, Linlin Zhou, and Gang Chen.
    IS2R: A System for Refining Reverse Top-kQueries.
    Proceedings of the 33rd IEEE International Conference on Data Engineering(ICDE), 2017. (Demo)
  18. 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), 2016. (Demo)
  19. 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 IEEEInternational Conference on Data Engineering(ICDE), 2016.
  20. 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), 2016.
  21. 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), 2015.
  22. 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),, 2015. (最佳論文提名)
  23. Yunjun Gao*, Qing Liu, Gang Chen, Baihua Zheng, and Linlin Zhou.
    Answering Why-not Questions on Reverse Top-kQueries.
    Proceedings of the 41st International Conference on Very Large Data Bases(VLDB), 2015.
  24. 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),2015.(Demo)
  25. 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), 2015. (優秀論文)
  26. 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),2014.
  27. Hao Huang,Yunjun Gao*, Lu Chen, Rui Li, Kevin Chiew, and Qinming He.
    Browse with a Social Web Directory.
    Proc. of the ACM SIGIRInt'lconf. on research and development in Information Retrieval(SIGIR), 2013. (Short)
  28. Yunjun Gao*, Lu Chen, Rui Li, and Gang Chen.
    Mapping Queries to Questions: Towards Understanding Users' Information Needs.
    Proc. of the ACM SIGIRInt'lconf. on research and development in Information Retrieval(SIGIR), 2013.(Short)
  29. Hao Huang,Yunjun Gao*, Kevin Chiew, Qinming He, and Lu Chen.
    Commodity Query by Snapping.
    Proc. of the ACM SIGIRInt'lconf. on research and development in Information Retrieval(SIGIR), 2013. (Short)
  30. 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, 2011.
  31. Gang Chen, He Bai, Lidan Shou, Ke Chen, andYunjun Gao.
    UPS: Efficient Privacy Protection in Personalized Web Search.
    Proc. of the ACM SIGIRInt'lconf. on research and development in Information Retrieval(SIGIR), 2011.
  32. 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), 2009.
  33. Yunjun Gao*, Baihua Zheng, Gencai Chen, Wang-Chien Lee, Ken C. K. Lee, and Qing Li.
    Visible Reversek-Nearest Neighbor Queries.
    Proceedings of the 25th International Conference on Data Engineering(ICDE), 2009. (Short)
  34. 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)2009.
  35. 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, 2008. (Short)
[國內學術期刊論文](帶*為通訊作者，帶#為指導學生)
  1. 信俊昌, 王國仁*, 李國徽,高雲君, 張志強.
    數據模型及其發展歷程.
    軟體學報, 30(1), 2019.
  2. 喬少傑, 韓楠*, 金澈清,高雲君, 李天瑞, 唐常傑, 康健.
    基於Multi-agent的分散式文本聚類模型.
    計算機學報, 41(8), 2018.
  3. 喬少傑, 李天瑞, 韓楠*,高雲君, 元昌安, 王曉騰, 唐常傑.
    大數據環境下移動對象自適應軌跡預測模型.
    軟體學報, 26(11), 2015.
  4. 張彬, 蔣濤*,高雲君, 樂光學.
    度量空間中的Top-k反向Skyline查詢算法.
    計算機研究與發展, 51(3), 2014.
  5. 蔣濤, 張彬,高雲君*, 樂光學.
    高效的Top-k相互Skyline查詢算法.
    計算機研究與發展, 50(5): 2013.
  6. 陳璐,高雲君*, 柳晴, 陳剛.
    受限相互最近鄰查詢處理.
    計算機研究與發展, 49(Suppl.):2012.

榮譽獎項

  1. 2019年度中國電子學會科技進步特等獎(4/15)
  2. ICDE 2019優秀論文 (One of the Best Papers inICDE 2019)
  3. 浙江大學竺可楨學院2019年度十佳專業導師
  4. APWeb-WAIM 2018最佳論文獎
  5. 入選浙江省151人才工程第二層次(2018)
  6. 培養博士生(陳璐)獲2017年度計算機學會(CCF)優秀博士學位論文獎
  7. 培養博士生(陳璐)獲2016年浙江省優秀博士學位論文提名論文獎
  8. 培養碩士生(崔會永)獲2016年浙江省優秀碩士學位論文獎
  9. 培養博士生(陳璐)獲2016年浙江大學優秀博士學位論文提名論文獎
  10. 2016年度教育部高等學校優秀成果科技進步一等獎(3/10)
  11. 國家優秀青年科學基金獲得者 (2015)
  12. SIGMOD 2015最佳論文提名
  13. ICDE 2015優秀論文 (One of the Best Papers in ICDE 2015)
  14. 入選浙江省151人才工程第三層次(2015)
  15. 浙江大學求是學院2014-2015學年優秀研究生德育導師
  16. 浙江大學求是學院2013-2014學年優秀班主任
  17. 浙江大學2014年信息學部第四屆青年教師獎 (三等)
  18. 浙江大學百篇特優本科畢業論文指導老師(2013, 2012)
  19. 浙江大學2013年度院級先進工作者
  20. 浙江大學2013年青年教師教學競賽優勝獎
  21. 入選浙江大學“賽博（CYBER）協同創新中心”賽博學者 (2012)
  22. 浙江省科學技術一等獎(7/13)
  23. 入選浙江大學首批“求是青年學者” (2011)
  24. 獲浙江大學優秀青年教師資助計畫（紫金計畫）重點資助 (2011)
  25. 浙江大學2010-2011學年優秀班主任
  26. 入圍2009年度CCF優秀博士學位論文

相關詞條

熱門詞條

聯絡我們