高云君，浙江大学求是特聘教授，博士生导师，国家杰出青年科学基金获得者（2020）、国家优秀青年科学基金获得者（2015），现为ACM SIGSPATIAL中国分会副主席，全省大数据智能计算重点实验室主任，浙江大学软件学院副院长，浙江大学计算机软件研究所副所长。研究方向为数据库、大数据管理与分析、DB与AI融合。已在国内外顶级学术期刊或会议ACM Computing Surveys、TODS、VLDBJ、TKDE、TPDS、TOIS、TMC、SIGMOD、VLDB、ICDE、SIGKDD、SIGIR等发表论文170余篇，出版中英文学术专著4部、教材2本（含1本在线教材），授权发明专利30余项，登记软件著作权4项，并获VLDB 2024最佳研究论文提名、DASFAA 2024最佳论文、ICDE 2022最佳论文、ICDE 2019优秀论文（One of the Best Papers）、APWeb-WAIM 2018最佳论文、SIGMOD 2015最佳论文提名、ICDE 2015优秀论文等。主持国家杰出青年科学基金、优秀青年科学基金、国家重点研发计划、973计划、国家自然科学基金联合基金重点等20余项项目/课题，并获2019年度中国电子学会科技进步特等奖、2016年度教育部科技进步一等奖、2011年度浙江省科学技术一等奖。（曾/现）担任DSE执行主编（Managing Editor），TKDE、JCST、FCS、DAPD、DSE、《计算机研究与发展》等顶级/重要学术期刊（青年）编委/副编辑（Associate Editor），VLDB、ICDE、SIGSPATIAL、WISE等近20个顶级/重要国际学术会议程序委员会/Workshop/Tutorial/宣传/出版/本地（共同）主席或领域主席，TODS、VLDBJ、TKDE、TMC、TPDS、《软件学报》、《计算机学报》、《中国科学 信息科学》等10余个国内外顶级学术期刊评审专家，SIGMOD、VLDB、ICDE、SIGKDD、SIGIR、WWW、IJCAI、AAAI等10余个顶级国际学术会议（资深）程序委员会委员。培养多名博/硕士生获得或入选KDD Cup 2022风电预测（Wind Power Forecast）赛道全球冠军、中国计算机学会（CCF）优秀博士学位论文奖、ACM SIGMOD中国优博奖、ACM SIGSPATIAL中国优博奖、ACM中国优博奖提名、浙江省优秀博士学位论文提名、中国电子学会硕士学位论文激励计划、浙江省优秀硕士学位论文、国家特聘青年专家、国家优秀青年科学基金（海外）、ACM SIGMOD中国新星奖、ACM SIGSPATIAL中国新星奖、浙江省杰出青年科学基金、甬江人才计划、华为天才少年等。 奖励荣誉 VLDB 2024最佳研究论文提名 (VLDB 2024 Best Research Paper Nomination) DASFAA 2024最佳论文 培养博士生(朱轶凡)获2024年度ACM SIGMOD中国优博奖 培养博士生(王梦召)入选“2024年度中国科协青年人才托举工程博士生专项计划” 培养硕士生(刘小泽)获2023年度浙江省优秀硕士学位论文 培养博士生(房子荃)获2023年度ACM中国优博奖提名 培养博士生(房子荃)获2023年度ACM SIGSPATIAL中国优博奖 培养博士生(房子荃)获2023年度浙江大学优秀博士学位论文 培养博士生(葛丛丛)获2023年度ACM SIGMOD中国优博奖 培养硕士生(杜云滔)入选2023年度中国电子学会硕士学位论文激励计划 入选《计算机研究与发展》2022年论文高被引TOP10 ICDE 2022最佳论文 培养博士生(杨克宇)获2021年度ACM SIGMOD中国优博奖 国家杰出青年科学基金获得者 (2020) 2019年度中国电子学会科技进步特等奖 (4/15) ICDE 2019优秀论文 (One of the Best Papers in ICDE 2019) 浙江大学竺可桢学院2019年度十佳专业导师 APWeb-WAIM 2018最佳论文奖 入选浙江省151人才工程第二层次 (2018) 培养博士生(陈璐)获2017年度计算机学会(CCF)优秀博士学位论文奖 培养博士生(陈璐)获2016年浙江省优秀博士学位论文提名论文奖 培养硕士生(崔会永)获2016年浙江省优秀硕士学位论文奖 培养博士生(陈璐)获2016年浙江大学优秀博士学位论文提名论文奖 2016年度教育部高等学校优秀成果科技进步一等奖 (3/10) 国家优秀青年科学基金获得者 (2015) SIGMOD 2015最佳论文提名 ICDE 2015优秀论文 (One of the Best Papers in ICDE 2015) 入选浙江省151人才工程第三层次 (2015) 浙江大学求是学院2014-2015学年优秀研究生德育导师 浙江大学求是学院2013-2014学年优秀班主任 浙江大学2014年信息学部第四届青年教师奖 (三等) 浙江大学百篇特优本科毕业论文指导老师 (2013, 2012) 浙江大学2013年度院级先进工作者 浙江大学2013年青年教师教学竞赛优胜奖 入选浙江大学“赛博（CYBER）协同创新中心”赛博学者 (2012) 2011年度浙江省科学技术一等奖 (7/13) 入选浙江大学首批“求是青年学者” (2011) 获浙江大学优秀青年教师资助计划（紫金计划）重点资助 (2011) 浙江大学2010-2011学年优秀班主任 入围2009年度CCF优秀博士学位论文

数据库、大数据管理与分析、DB与AI融合

[执行主编 (Managing Editor)/编委/（青年）副编辑 (Associate Editor)] IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022-Present (IEEE, SCI) Data Science and Engineering (DSE), 2022-Present (Springer & CCF-TCDB, EI/ESCI) Journal of Computer Science and Technology (JCST), 2019-Present (Springer, SCI) Frontiers of Computer Science (FCS), 2019-Present (Springer, SCI) Distributed and Parallel Databases (DAPD), 2018-Present (Springer, SCI) 计算机研究与发展, 2022-Present (CCF, EI) [专刊特邀编辑] Frontiers of Computer Science (FCS), 2024-Present (Springer, SCI) 软件学报, 2023-Present (CCF, EI) World Wide Web Journal Internet and Web Information Systems (WWWJ), 2017-2018 (Springer, SCI) Data Science and Engineering (DSE), 2017-2018 (Springer & CCF-TCDB) International Journal of Distributed Sensor Networks (IJDSN), 2014-2015 (SAGE, SCI) [国内外知名学术会议组委] NDBC 2022、SIGSPATIAL China 2021、SpatialDI 2021、ICWL 2020、IEEE ICBK 2019、SIGMOD China 2019、MLDQ 2019、WISE 2017程序委员会共同主席 WISE 2020、APWeb-WAIM 2020、WISE 2019 Panel/Tutorial共同主席 VLDB Summer School 2018学术委员会共同主席 SIGSPATIAL 2021、APWeb-WAIM 2021、MDM 2019、WAIM 2013 Workshop共同主席 NDBC 2017、DASFAA 2015宣传共同主席 VLDB 2014本地Poster主席 WAIM 2010论文集出版主席 SpatialDI 2024专题论坛主席 [国内外知名学术期刊评审员] 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 Parallel and Distributed Systems (TPDS) 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) SIGMOD Record Future Generation Computer Systems (FGCS) Frontiers of Computer Science (FCS) Journal of Systems and Software (JSS) 软件学报 计算机学报 中国科学 信息科学 [国内外学术会议（资深）程序委员会委员] SIGMOD 2018 VLDB 2019, 2020, 2021, 2022, 2024, 2025 ICDE 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025 SIGKDD 2021, 2022, 2023, 2024, 2025 SIGIR 2020, 2021, 2022, 2023, 2024, 2025 IJCAI 2021, 2022, 2023, 2024, 2025 AAAI 2022, 2023, 2024, 2025 WWW 2025 CVPR 2023 EDBT 2021, 2026 ICDCS 2020 WSDM 2021, 2022, 2023, 2024, 2025 ECML/PKDD 2023, 2024 CIKM 2017, 2018 ACM SIGSPATIAL 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 DASFAA 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2023, 2024, 2025 MDM 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2022, 2023, 2024 WISE 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 APWeb-WAIM 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024 SSTD 2019, 2021, 2023 PAKDD 2020, 2021, 2022, 2023, 2024, 2025 ER 2018, 2019, 2020, 2021, 2022 ADMA 2018, 2019, 2020, 2021, 2022, 2023 SISAP 2023 GeoRich 2018 APWeb 2009, 2010, 2013, 2014, 2016 WAIM 2009, 2011, 2012, 2013, 2014, 2015, 2016 DEXA 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 NDBC 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

[学术专著/教材与综述论文] (带*为通讯作者，带#为指导学生) 高云君*, 陈璐, 苗晓晔, 张天明. 数据科学前沿技术导论. ISBN 978-7-04-061906-5, 高等教育出版社, 2024. (535页, 62万字, “新一代人工智能系列教材”, 2024年12月出版, 责任编辑：张曦) 毛玉仁, 高云君. 大模型基础. 开源教材, 2024. (301页, 截止2024年11月已被收藏700余次, GitHub开源平台网址为: https://github.com/ZJU-LLMs/Foundations-of-LLMs) Yuren Mao, Yuhang Ge#, Yijiang Fan#, Wenyi Xu#, Yu Mi#, Zhonghao Hu#, and Yunjun Gao*. A Survey on LoRA of Large Language Models. To appear in Frontiers of Computer Science (FCS), 19(7): 197605, DOI: 10.1007/s11704-024-40663-9, 2024. Danlei Hu#, Lu Chen*, Hanxi, Fang, Ziquan Fang#, Tianyi Li, and Yunjun Gao. Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(5): 2191-2212, 2024. Xiaoye Miao, Yangyang Wu, Lu Chen, Yunjun Gao, and Jianwei Yin*. An Experimental Survey of Missing Data Imputation Algorithms. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(7): 6630-6650, 2023. Lu Chen, Yunjun Gao*, Xuan Song#, Zheng Li#, Yifan Zhu#, Xiaoye Miao, and Christian S. Jensen. Indexing Metric Spaces for Exact Similarity Search. ACM Computing Surveys (CSUR), 55(6): 128:1-128:39, Article 128, 39 Pages, 2023. 高云君, 葛丛丛, 郭宇翔, 陈璐. 面向关系型数据与知识图谱的数据集成技术综述. 软件学报, 34(5): 2365-2391, 2023. (http://www.jos.org.cn/jos/article/abstract/6808) Yifan Zhu#, Lu Chen*, Yunjun Gao, and Christian S. Jensen. Pivot Selection Algorithms in Metric Spaces: A Survey and Experimental Study. The VLDB Journal (VLDBJ), 31(1): 23-47, 2022. [Paper] [Codes & Datasets] 宋轩, 高云君, 李勇, 关庆锋, 孟小峰. 空间数据智能：概念、技术与挑战. 计算机研究与发展, 59(2):255-263, 2022. 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) Yifan Zhu, Chengyang Luo#, Tang Qian#, Lu Chen, Yunjun Gao*, and Baihua Zheng. DIMS: Distributed Index for Similarity Search in Metric Spaces. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2024.3487759, 2024. Yuren Mao, Xuemei Dong#, Wenyi Xu#, Yunjun Gao*, Bin Wei, and Ying Zhang. FIT-RAG: Black-Box RAG with Factual Information and Token Reduction. To appear in ACM Transactions on Information Systems (TOIS), DOI: https://doi.org/10.1145/3676957, 2024. Dong Pan, Xu Zhou, Wensheng Luo, Zhibang Yang, Qing Liu, Yunjun Gao, and Kenli Li. Acceleratingmaximum Biplex Search over Large Bipartite Graphs. To appear in The VLDB Journal (VLDBJ), DOI: https://doi.org/10.1007/s00778-024-00882-9, 2024. Danlei Hu#, Ziquan Fang, Hanxi Fang#, Tianyi Li, Chunhui Shen#, Lu Chen*, and Yunjun Gao. Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories. IEEE Transactions on Intelligent Transportation Systems (TITS), 25(11): 15562-15573, 2024. Zhe Pan, Xu Li, Shuibing He, Xuechen Zhang, Rui Wang, Yunjun Gao, Gang Chen, and Xian-He Sun. AMBEA: Aggressive Maximal Biclique Enumeration in Large Bipartite Graph Computing. IEEE Transactions on Computers (TC), 73(12): 2664-2667, 2024. Yunjun Gao, Ziquan Fang#, Jiachen Xu#, Shenhao Gong#, Chunhui Shen#, and Lu Chen*. An Efficient and Distributed Framework for Real-time Trajectory Stream Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(5): 1857-1873, 2024. Minjun Zhao#, Lu Chen*, Keyu Yang, Yuntao Du#, and Yunjun Gao. Finding Materialized Models for Model Reuse. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(12): 12663-12678, 2023. Congcong Ge#, Pengfei Wang#, Lu Chen, Xiaoze Liu#, Baihua Zheng, and Yunjun Gao*. CollaborEM: A Self-supervised Entity Matching Framework Using Multi-features Collaboration. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(12): 12139-12152, 2023. Yuntao Du#, Xinjun Zhu#, Lu Chen, Ziquan Fang#, and Yunjun Gao*. MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(10): 9850-9863, 2023. Xiaoye Miao, Huanhuan Peng, Yunjun Gao*, Zongfu Zhang, and Jianwei Yin. On Dynamically Pricing Crowdsourcing Tasks. ACM Transactions on Knowledge Discovery from Data (TKDD), 17(2): 30:1-30:27, Article 27, 2023. Yanhong Li, Wang Zhang, Yunjun Gao*, Qing Li, Lihchyun Shu, and Changyin Luo. DAPC: Answering Why-not Questions on Top-k Direction-Aware ASK Queries in Polar Coordinates. IEEE Transactions on Intelligent Transportation Systems (TITS), 24(5): 4932-4947, 2023. Wensheng Luo, Xu Zhou, Kenli Li, Yunjun Gao, and Keqin Li. Efficient Influential Community Search in Large Uncertain Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(4): 3779-3793, 2023. Lu Chen#, Yunjun Gao*, Xingrui Huang#, Christian S. Jensen, and Bolong Zheng. Efficiently Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(10): 4781-4796, 2022. (国际学术会议论文[88]扩展版本) Xiaoye Miao#, Yunjun Gao*, Lu Chen#, Huanhuan Peng, Jianwei Yin, and Qing Li. Towards Query Pricing on Incomplete Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(8): 4024-4036, 2022. Congcong Ge#, Yunjun Gao*, Xiaoye Miao*#, Bin Yao, and Haobo Wang. A Hybrid Data Cleaning Framework Using Markov Logic Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(5): 2048-2062, 2022. Yuanyuan Zeng, Kenli Li, Xu Zhou, Wensheng Luo, and Yunjun Gao. An Efficient Index-based Approach to Distributed Set Reachability on Small-World Graphs. IEEE Transactions on Parallel and Distributed Systems (TPDS), 33(10): 2358-2371, 2022. Keyu Yang#, Yunjun Gao*, Lei Liang#, Song Bian#, Lu Chen, and Baihua Zheng. CrowdTC: Crowd-powered Learning for Text Classification. ACM Transactions on Knowledge Discovery from Data (TKDD), 16(1): 15:1-15:23, Article 15, 2022. Yunjun Gao*, Tianming Zhang#, Linshan Qiu#, Qingyuan Linghu#, and Gang Chen. Time-respecting Flow Graph Pattern Matching on Temporal Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(10): 3453-3467, 2021. Qing Liu#, Ziyuan Zhu#, Jianliang Xu, and Yunjun Gao*. MaxiZone: Maximizing Influence Zone over Geo-Textual Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(10): 3381-3393, 2021. Ziquan Fang#, Lu Chen, Yunjun Gao*, Lu Pan#, and Christian S. Jensen. Dragoon: A Hybrid and Efficient Big Trajectory Management System for Offline and Online Analytics. The VLDB Journal (VLDBJ), 30(2): 287-310, 2021. Xiaoye Miao#, Yunjun Gao*, Su Guo#, Lu Chen#, Jianwei Yin, and Qing Li. Answering Skyline Queries over Incomplete Data with Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(4): 1360-1374, 2021. Sai Wu, Zhifei Pang, Gang Chen, Yunjun Gao, Cenjiong Zhao, and Shili Xiang. NEIST: A Neural-Enhanced Index for Spatio-Temporal Queries. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(4): 1659-1673, 2021. Hao Huang#, Qian Yan, Lu Chen#, Yunjun Gao*, and Christian S. Jensen. Statistical Inference of Diffusion Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(2): 742-753, 2021. 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.