详细资料
Details
教师头像
卢卫
卢卫,教授,博士生导师。中国人工智能学会智能服务专业委员会委员,CCF数据库专委委员,CCF A类刊物TODS、VLDB Journal、TKDE、TPDS评审专家。近年来主要从事数据库基础理论、大数据系统研制等相关领域研究,在SIGMOD、VLDB、ICDE、VLDB Journal、TKDE等国际知名会议和期刊发表论文40余篇,主持国家重点研发课题、国家自然科学基金项目多项。近年来主讲的课程有《数据库系统概论》、《数据库系统实现》、《云计算与分布式系统》等。卢卫博士拥有多年海外留学和工作经历,先后于2007年在澳大利亚昆士兰大学数据与知识工程研究(DKE)团队和2010年在新加坡国立大学数据库研究团队进行学术访问。2011年在伟德国际1946源自英国获得博士学位后,他于2011年7月至2014年9月在新加坡国立大学计算机学院从事博士后研究工作。2012年获得伟德国际1946源自英国优秀博士学位论文奖和中国计算机学会优秀博士学位论文奖。2015年入选微软亚洲研究院青年教师铸星计划。指导学生入选2018年“腾讯犀牛鸟精英人才培养计划”和2017年NDBC萨师煊优秀学生论文。

个人主页:http:,,info.ruc.edu.cn,academic_professor.php?teacher_id=29<,p>

电子邮箱:lu-wei@ruc.edu.cn<,p>

更多
教育经历
博士后 新加坡国立大学 2011.7 - 2014.8
博士 伟德国际1946源自英国 2006.9 - 2011.7
硕士 中国地质大学(北京) 2003.9 - 2006.7
本科 中国地质大学(北京) 1999.9 - 2003.7
工作经历
2021.8 - 至今 伟德国际1946源自英国 教授
2014.8 - 2021.8伟德国际1946源自英国 副教授
2011.7 - 2014.8 新加坡国立大学 博士后
2010.6 - 2010.12 新加坡国立大学 研究助理
2007.12 - 2008.12 澳大利亚昆士兰大学 研究助理
研究方向
分布式数据库
大数据管理与分析
讲授课程
《数据库系统概论》
《数据库系统实现》
《云计算与分布式系统》
科研项目
1. 代表性纵向项目
(1)国家重点研发计划课题,面向跨域政务应用的数据治理体系与治理工具,2020.10-2023.9,负责人
(2)国家自然科学基金面上项目,面向混合OLTP和OLAP的分布式图数据库技术研究,2020.01-2023.12,负责人
(3)国家重点研发计划,“高时效、 可扩展的大数据计算模型、 优化技术与系统(共性关键技术类)”,2018.6-2021.5,子课题负责人
(4)北京市重大专项课题——“大数据共享融合关键技术研发及政务治理验证”(人大负责人),2018.4-2020.4
(5)国家自然科学青年基金项目,云计算环境下基于图模型的海量RDF数据管理关键技术研究, 22万,2016年1月 - 2018年12月 (项目负责人)
2. 代表性横向项目
(1)基于TDSQL的分布式读事务处理研究与系统构建,腾讯,负责人
(2)面向TDSQL的分布式事务处理关键技术研究与优化,腾讯,负责人
(3)面向TDSQL的分布式读事务策略优化技术研究,腾讯,负责人
科研成果

1

[ISSTA 2024] Testing Graph Database Systems with Graph-State Persistence Oracle.Shuang Liu, Junhao Lan, Xiaoning Du, Jiyuan Li, Wei Lu*, Jiajun Jiang, and Xiaoyong Du, In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 24) (CCF A)

2

[软件学报 2024] 基于确定性并发控制的云原生多写技术,洪殷昊,赵泓尧,王乙霖,史心悦,卢卫*,杨尚,杜胜,软件学报,2024CCF 中文 A

3

[VLDB 2024] TDSQL: Tencent Distributed Database System, Yuxing Chen, Anqun Pan, Hailin Lei, Anda Ye, Shuo Han, Yan Tang, Wei Lu, Yunpeng Chai, Feng Zhang, Xiaoyong Du, Proc. VLDB Endow. 17(6): 3869-3882(2024) (CCF A)

4

[VLDB 2024] AeonG: An Efficient Built-in Temporal Support in Graph Databases, Jiamin Hou, Zhanhao Zhao, Zhouyu Wang, Wei Lu*, Guodong Jin, Dong Wen, Xiaoyong Du,  Proc. VLDB Endow. 17(6): 1515-1527 (2024) (CCF A)

5

[ICDE 2024] Lion: Minimizing Distributed Transactions through Adaptive Replica Provision, Qiushi Zheng, Zhanhao Zhao, Wei Lu*, Chang Yao, Yuxing Chen, Anqun Pan, Xiaoyong Du, ICDE 2024 (CCF A)

6

[ICDE 2024] A Two Phase Recall-and-Select Framework for Fast Model SelectionJianwei Cui, Wenhang Shi, Honglin Tao, Wei Lu*, Xiaoyong Du*ICDE 2024. (CCF A)

7

[SIGMOD2024] VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation, Zhanhao Zhao, Hexiang Pan, Gang Chen, Xiaoyong Du, Wei Lu, Beng Chin OoiSIGMOD 2024. (CCF A)

8

[VLDBJ 2024] RCBench: An RDMA-enabled Transaction Framework for Analyzing Concurrency Control Algorithms, Hongyao Zhao, Jingyao Li, Wei Lu*, Qian Zhang, Wanqing Yang, Jiajia Zhong, Meihui Zhang, Haixiang Li, Xiaoyong Du, Anqun Pan, VLDB Journal, 2023, (CCF A)

9

[TKDE 2023-1] T-SQL: A Lightweight Implementation to Enable Built-in Temporal Support in MVCC-Based RDBMSs, Zhanhao Zhao, Wei Lu*, Hongyao Zhao, Zongyan He, Haixiang Li, Anqun Pan, Xiaoyong Du*, IEEE Trans. Knowl. Data Eng. 35(1): 1028-1042 (2023) (CCF A)

10

[TKDE 2023-2] Efficiently Supporting Multi-Level Serializability in Decentralized Database Systems, Zhanhao Zhao, Hongyao Zhao, Qiyu Zhuang, Wei Lu*, Haixiang Li, Meihui Zhang, Anqun Pan, Xiaoyong Du*, IEEE Trans. Knowl. Data Eng. 35(12): 12618-12633 (2023) (CCF A)

11

[TKDE 2023-3] Compressed Data Direct Computing for Databases, Weitao Wan, Feng Zhang, Chenyang Zhang, Mingde Zhang, Jidong Zhai, Yunpeng Chai,Huanchen Zhang, Wei Lu, Yuxing Chen, Haixiang Li, Anqun Pan, Xiaoyong Du, IEEE Trans. Knowl. Data Eng., 2023 (CCF A)

12

[JCST 2023] Context-Aware Semantic Type Identification for Relational Attributes, Yue Ding, Yuhe Guo, Wei Lu*, Hai-Xiang Li, Meihui Zhang, Hui Li, An-Qun Pan, Xiaoyong Du, J. Comput. Sci. Technol. 38(4): 927-946 (2023) (CCF B)

13

[DASFAA 2023] Efficient Anomaly Detection in Property Graphs, Jiamin Hou, Yuhong Lei, Zhe Peng, Wei Lu*, Feng Zhang, Xiaoyong Du, DASFAA (3) 2023: 120-136 (CCF B)

14

[ECAI 2023] Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning, Wenhang Shi, Yiren Chen, Zhe Zhao, Wei Lu*, Kimmo Yan, Xiaoyong Du, ECAI 2023: 2138-2145 (CCF B)

15

[VLDB 2023] Qian Zhang, Jingyao Li, Hongyao Zhao, Quanqing Xu, Wei Lu*, Jinliang Xiao, Fusheng Han, Chuanhui Yang, Xiaoyong Du:Efficient Distributed Transaction Processing in Heterogeneous Networks. Proc. VLDB Endow. 16(6): 1372-1385 (2023) (CCF A)

16

[软件学报 2023-1]高珊,袁宛竹,卢卫*,王兰,张静,杜小勇.面向列语义识别的共现属性交互模型构建与优化.软件学报,2023,34(3):1010-1026(CCF 中文 A

17

[软件学报 2023-2]水治禹,卢卫,赵展浩,何粤阳,张孝,杜小勇.分布式数据库多级一致性统一建模理论研究.软件学报,2023,34(5):2392-2412(CCF 中文 A

18

[软件学报 2022-1]李海翔,李晓燕,刘畅,杜小勇,卢卫,潘安群,数据库管理系统中数据异常体系化定义与分类,软件学报,2022, 33(3), (CCF 中文 A)

19

[软件学报 2022-2]赵泓尧,赵展浩,杨皖晴,卢卫,李海翔,杜小勇.内存数据库并发控制算法的实验研究.软件学报,2022,33(3):867-890(CCF 中文 A

20

[JCST 2021] Jianwei Cui, Wei Lu, Xin Zhao, Xiaoyong Du:Efficient Model Store and Reuse in an OLML Database System. J. Comput. Sci. Technol. 36(4): 792-805 (2021) (CCF B)

21

[TPDS 2021]Feng Zhang, Chenyang Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du:Fine-Grained Multi-Query Stream Processing on Integrated Architectures. IEEE Trans. Parallel Distributed Syst. 32(9): 2303-2320 (2021) (CCF A)

22

[中国科学 2020]丁玥,王涓,卢卫*,荣垂田,杜小勇. 面向多源关系数据的融合, 中国科学:信息科学, 50(5), 649-661, 2020, CCF A (CCF 中文A

23

[ATC 2021] Feng Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du. FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures2020 {USENIX} Annual Technical Conference ({USENIX}{ATC} 20), 633-647 CCF A

24

[TKDE 2020]Hao Huang, Qian Yan, Wei Lu, Huaizhong Lin, Yunjun Gao, Lei Chen. LERI: Local Exploration for Rare-Category Identification. IEEE Trans. Knowl. Data Eng. 32(9): 1761-1772 (2020) CCF A

25

[SIGIR 2019]Xiaoli Wang, Rongzhen Wang, Zhifeng Bao, Jiayin Liang and Wei Lu*, Effective Medical Archives Processing Using Knowledge Graphs, SIGIR 2019: 1141-1144 (CCF A)

26

[VLDB 2019]Wei Lu, Zhanhao Zhao, Xiaoyu Wang, Haixiang Li, Zhenmiao Zhang, Zhiyu Shui, Sheng Ye, Anqun Pan, Xiaoyong Du: A lightweight and efficient temporal database management system in TDSQLProceedings of the VLDB Endowment 12 (12), 2035-2046CCF A

27

[AAAI 2019]Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu*, Yunjun Gao, Learning Diffusions without Timestamps, AAAI 2019: 582-589CCF A

28

[TKDE 2019]Wei Lu, Yanyan Shen, Tongtong Wang, Meihui Zhang, Xiaoyong Du, Fast Failure Recovery in Vertex-centric Distributed Graph Processing Systems, IEEE Transactions on Knowledge and Data Engineering, 31(4):733-746,2019CCF A

29

[软件学报 2019]杜小勇, , , 大数据管理系统的历史、现状与未来,软件学报, 2019, 30(1):127-141 (CCF 中文A

30

[VLDB 2018]Wei Lu, Zhiyu Shui, Xinyi Zhang, Zhe Peng, Xiao Zhang, Xiaoyong Du, Hao Huang, Xiaoyu Wang, Anqun Pan, Haixiang Li, MSQL+: A Plugin Toolkit for Similarity Search under Metric Spaces in Distributed Relational Database Systems, PVLDB, 11(12):1970-1973, 2018CCF A

31

[ER 2018]Yurui Wang, Shanlei Mu, Feiran Huang, Wei Lu*, Yueguo Chen, An In-Depth Benchmarking Study on Bill of Materials for High-End Manufacturing, ER 2018: 75-90CCF C

32

[DASFAA 2018] Tongtong Wang, Hao Huang, Wei Lu*, Zhe Peng, Xiaoyong Du, Efficient and Scalable Mining of Frequent Subgraphs Using Distributed Graph Processing Systems. DASFAA (1) 2018: 891-907CCF B

33

[软件学报 2018-1]Tongtong Wang, Chuitian Rong, Wei Lu*, Xiaoyong Du, A Survey on Distributed Graph Processing Systems, Journal of Software(软件学报),2018,29(3):569−586 (CCF 中文A

34

[软件学报 2018-2]Zhanhao Zhao, Feiran Huang, Xiaoli Wang, Wei Lu, Xiaoyong Du, A SQL-Based Solution for Fast Graph Similarity Search, Journal of Software(软件学报),2018,29(3):689-702 (CCF 中文A

35

[VLDBJ 2018]Wei Lu, Jiajia Hou, Ying Yan, Meihui Zhang, Xiaoyong Du, Thomas Moscibroda, MSQL: Efficient Similarity Search in Metric Spaces using SQL, The VLDB Journal 2017 26:829–854CCF A  

36

[KAIS 2018]Zhe Peng, Tongtong Wang, Wei Lu*, Hao Huang, Xiaoyong Du, Feng Zhao, Anthony K. H. Tung: Mining frequent subgraphs from tremendous amount of small graphs using MapReduce. Knowl. Inf. Syst. 56(3): 663-690 (2018) CCF B    

37

[ICDE 2017]Chuitian Rong, Chunbin Lin, Yasin N. Silva, Jianguo Wang, Wei Lu, Xiaoyong Du, Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics, ICDE 2017: 1059-1070CCF A

38

[WWWJ 2017]Haixiang Li, Zhanhao Zhao, Yijian Cheng, Wei Lu*, Xiaoyong Du, Anqun Pan, Efficient Time-interval Data Extraction in MVCC-based RDBMS, WWW Journal 2017CCF B

39

[KAIS 2017]Hao Huang, Qian Yan, Yao Zhao, Wei Lu*, Zhenguang Liu, Zongpeng Li, False data separation for data security in smart grids, KAIS 2017 52(3):815-834CCF B

40

[VLDB 2014]Yanyan Shen, Gang Chen, H.V. Jagadish, Wei Lu, Beng Chin Ooi, Bogdan Marius Tudor, Fast Failure Recovery in Distributed Graph Processing Systems, PVLDB 8(4): 437-448 (2014)CCF A

41

[TKDE 2014]Wei Lu, Xiaoyong Du, Marios Hadjieleftheriou, Beng Chin Ooi, “Efficiently Supporting Edit Distance based String Similarity Search Using B+-trees”, IEEE Transactions on Knowledge and Data Engineering, 26(12): 2983-2996 (2014) CCF A    

42

[SIGMOD 2014]Jinyang Gao, Hosagrahar Visvesvaraya Jagadish, Wei Lu, Beng Chin Ooi: DSH: data sensitive hashing for high-dimensional k-nnsearch. SIGMOD 2014: 1127-1138 CCF A    

43

[BIGDATA 2013]Wei Lu, Gang Chen, Anthony KH Tung, Feng Zhao, “Efficiently extracting frequent subgraphs using MapReduce”, the 2013 IEEE International Conference on Big Data (BigData 2013, 45/259=17.37%), pages:639-647.  

44

[TKDE 2013]Chuitian Rong, Wei Lu, Xiaoli Wang, Xiaoyong Du, Yueguo Chen, Anthony K. H. Tung, “Efficient and Scalable Processing of String Similarity Join”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2013, 25(10): 2217-2230. CCF A

45

[VLDB 2012]Wei Lu, Yanyan Shen, Su Chen, Beng Chin Ooi“Efficient processing of k nearest neighbor joins using mapreduce”, PVLDB 2012, 5(10), Istanbul, Turkey. CCF A

46

[WWWJ 2012]Jing Yang, Gabriel Fung, Wei Lu, Xiaofang Zhou, Hong Chen and Xiaoyong Du, Finding Superior Skyline Points for Multidimensional Recommendation Applications, WWW Journal, 2012, 15(1): 33-60CCF B

47

[WWWJ 2011-1] Wei Lu, Jinchuan Chen, Xiaoyong Du, Jieping Wang, Wei Pan: Efficient top-K approximate searches against a relation with multiple attributes. World Wide Web 14(5-6): 573-597 (2011) CCF B

48

[WWWJ 2011-2] Wei Lu, Gabriel Fung, Xiaoyong Du, Xiaofang Zhou, Lijiang Chen, Ke Deng,Approximate Entity Extraction in Temporal Databases, WWW Journal, 2011, 14(2): 157-186.CCF B

49

[WAIM 2011]Chuitian Rong, Wei Lu, Xiaoyong Du, Xiao Zhang, Efficient duplicate detection on cloud using a new signature scheme, WAIM 2011, pages: 251-263CCF C

50

[APWEB 2010]Wei Lu, ChuiTian Rong, Xiaoyong Du, Gabriel Fung and Xiaofang Zhou, Efficient Common Items Extraction from Multiple Sorted Lists, APWeb 2010, pages:219-225 (CCF C

51

[DASFAA 2010] Gabriel Fung, Wei Lu, Jing Yang, Xiaoyong Du and Xiaofang Zhou, Extract Interesting Skyline Points in High Dimension Space, DASFAA 2010, pages: 94-108.CCF B

52

[DASFAA 2009] Gabriel Fung, Wei Lu, Xiaoyong Du, Dominant and K Nearest Probabilistic Skylines, DASFAA 2009, pages:263-277CCF B

53

[CIKM 2009] Lijiang Chen, Bin Cui, HengTao Shen, Wei Lu, Xiaofang Zhou,Efficient Information Retrieval in Mobile Peer-to-Peer Networks, CIKM 2009, 2-6 November 2009, Hong Kong, China.CCF B

 


社会兼职
期刊审稿专家:
ACM Transactions on Database Systems (TODS)
VLDB Journal (VLDB J)
IEEE Transactions on Knowledge and Data Engineering(TKDE)
IEEE Transactions on Cloud Computing (TCC)
ACM Transactions on Data Science (TDS)
World Wide Web: Internet and Web Information Systems (WWW J)
Pattern Recognition Letters
Information System
GeoInformatics
Big Data Research
软件学报
会议PC Member
VLDB2019-22, SIGMOD2021
荣誉获奖

2022年 深圳市科技进步一等奖 金融级分布式数据库(第二完成人)

2022年 北京市教学成果一等奖 以数据为中心的计算机特色领军人才培养——图灵实验班的教改实践(第八完成人)

2021年 国家级线上线下一流本科课程主讲教师 数据库系统概论(第三完成人)

2017年 NDBC萨师煊优秀论文

2012年 中国计算机学会CCF优秀博士论文奖

2012年 伟德国际1946源自英国“优秀博士学位论文”