个人信息

张美慧，威尼斯87978797教授，博士生导师，入选国家级青年人才。于2013年毕业于新加坡国立大学，获计算机科学博士学位。2014年至2017年曾在新加坡科技设计大学工作，任助理教授。主要研究方向为大数据管理与分析、海量数据集成、新型数据库系统、区块链及人工智能等。 已发表计算机学会（CCF）推荐A类论文近50篇，其中包括数据库及数据挖掘领域顶级会议ACM SIGMOD、VLDB、ICDE、KDD，以及顶级期刊VLDB Journal、TKDE等。近年来，先后主持参与了多个国家级重点科研项目，多次担任如ACM SIGMOD，VLDB，ACM MM等国际顶级学术会议程序委员会委员，以及如TKDE，VLDBJ，TODS等国际顶级期刊审稿人。担任VLDB理事会理事（截止目前国内仅有三位入选）、ACM/IMS Transactions on Data Science (TDS) 期刊副主编、Springer Distributed and Parallel Databases期刊领域主编、国际顶级会议IEEE ICDE 2018、 ICDE 2022领域主席、VLDB 2018、VLDB 2019、VLDB 2020、 VLDB 2023、ACM SIGMOD 2021、 SIGMOD 2023副主编、DASFAA 2017及EDBT 2022 Demo Track及BOSS 2018 Workshop联合主席等。 荣获2019年度计算机学会CCF-IEEE CS青年科学家奖, 2020年度VLDB青年研究贡献奖（截止目前亚洲仅有两位），获VLDB 2019最佳论文奖、ICDE 2018最佳论文提名奖及ACM SIGMOD 2019 突出研究奖。

News: 每年计划招收博士生1名，硕士生3-4名，同时也欢迎对科研感兴趣的高年级本科生加入实验室。

个人主页：https://zmeihui.github.io/

科研方向

大数据管理与分析、海量数据集成、新型数据库系统、区块链系统、人工智能等

代表性学术成果

1. Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi: MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. ICDE 2021: 1655-1666 (CCF A类)

2. Meihui Zhang, Zhongle Xie, Cong Yue, Ziyue Zhong: Spitz: A Verifiable Database System. Proc. VLDB Endow. 13(12): 3449-3460 (2020) (CCF A类)

3. Pingcheng Ruan, Gang Chen, Anh Dinh, Qian Lin, Beng Chin Ooi, Meihui Zhang: Fine-Grained, Secure and Efficient Data Provenance for Blockchain. PVLDB 12(9): 975-988 (2019) (CCF A类)

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

5. Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava: REGAL+: Reverse Engineering SPJA Queries. PVLDB 11(12): 1982-1985 (2018) (CCF A类)

6. Wei Wang, Jinyang Gao, Meihui Zhang, Sheng Wang, Gang Chen, Teck Khim Ng, Beng Chin Ooi, Jie Shao, Moaz Reyad: Rafiki: Machine Learning as an Analytics Service System. PVLDB 12(2): 128-140 (2018)

7. Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, Ji Wang: Untangling Blockchain: A Data Processing View of Blockchain Systems. IEEE Transactions on Knowledge and Data Engineering (TKDE) 30(7): 1366-1385 (2018) (CCF A类)

8. Chang Yao, Meihui Zhang, Qian Lin, Beng Chin Ooi, Jiatao Xu: Scaling distributed transaction processing and recovery based on dependency logging. VLDB J. 27(3): 347-368 (2018) (CCF A类)

9. Jian Dai, Meihui Zhang, Gang Chen, Ju Fan, Kee Yuan Ngiam, Beng Chin Ooi: Fine-grained Concept Linking using Neural Networks in Healthcare. International Conference on Management of Data (SIGMOD) 2018. (CCF A类)

10. Zhaojing Luo, Shaofeng Cai, Jingyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee: Adaptive Lightweight Regularization Tool for Complex Analytics. IEEE International Conference on Data Engineering (ICDE) 2018. (CCF A类)

11. Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, Ji Wang: Untangling Blockchain: A Data Processing View of Blockchain Systems. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2017. (CCF A类)

12. Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava: Reverse Engineering Aggregation Queries. International Conference on Very Large Data Bases (VLDB) 2017, PVLDB 10(11): 1394-1405. (CCF A类)

13. Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan: Database Meets Deep Learning: Challenges and Opportunities. SIGMOD Record 45(2): 17-22 (2016).

14. Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi: CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. IEEE Transactions on Knowledge and Data Engineering (TKDE) 27(8): 2078-2092 (2015). (CCF A类)

15. Ju Fan, Meiyu Lu, Beng Chin Ooi, Wang-Chiew Tan, Meihui Zhang: A hybrid machine-crowdsourcing system for matching web tables. International Conference on Data Engineering (ICDE) 2014: 976-987. (CCF A类)

16. Meihui Zhang, Kaushik Chakrabarti: InfoGather+: Semantic Matching and Annotation of Numeric and Time-Varying Attributes in Web Tables. International Conference on Management of Data (SIGMOD) 2013: 145-156. (CCF A类)

17. Meihui Zhang, Hazem Elmeleegy, Cecilia M. Procopiuc, Divesh Srivastava: Reverse Engineering Complex Join Queries. International Conference on Management of Data (SIGMOD) 2013: 809-820. (CCF A类)

18. Meihui Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, Cecilia M. Procopiuc, Divesh Srivastava: Automatic Discovery of Attributes in Relational Databases. International Conference on Management of Data (SIGMOD) 2011: 109-120. (CCF A类)

承担科研情况

· 国家自然科学基金，面上项目，2021-2024，项目负责人

· 国家重点研发计划，2020-2023，课题负责人

· CCF-蚂蚁科研基金，2020-2021，项目负责人

· 国家自然科学基金，原创项目，2021- ， 参与

所获奖励

· 2020 VLDB 青年研究贡献奖 (Early Career Research Contribution Award): For contributions to cleaning, integration and analysis techniques for healthcare data, and deployment of those techniques in hospitals.

· 2019 计算机学会CCF-IEEE CS青年科学家奖: 以表彰在大数据关联关系挖掘和融合分析方面所做出的突出贡献

· 2019 ACM SIGMOD 突出研究奖 (Research Highlight Award)

· 2019 VLDB 最佳论文奖 (Best Paper Award)

· 2018 IEEE ICDE 最佳论文提名奖（Best Paper Runner Up）

社会兼职

理事会任职

· Board member of VLDB endowment (2020-2025)

期刊任职

· Distributed and Parallel Databases Survey Track Editor

· ACM/IMS Transactions on Data Science Associate Editor

会议任职

· SIGMOD 2023 Associate Editor

· VLDB 2023 Associate Editor

· ICDE 2022 Associate Editor

· SIGMOD 2021 Associate Editor

· VLDB 2020 Associate Editor

· VLDB 2019 Associate Editor

· VLDB 2018 Associate Editor

· ICDE 2018 Area PC Vice-chair

· EDBT 2022 Demo Track Co-chair

· DASFAA 2017 Demo Track Co-chair

· Big Data Open Source Systems (BOSS) 2018 Workshop Co-chair

程序委员会委员

· SIGMOD: 2022, 2018, 2014

· VLDB: 2022, 2021, 2020 (Industrial Track), 2014

· KDD: 2021, 2020, 2019

· ACM MM: 2015

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