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张美慧

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教授 博导
数据科学与知识工程研究所,
北京理工大学，计算机学院
北京市海淀区中关村南大街5号
Office: 中心教学楼 1211
E-mail: firstname_lastname@bit.edu.cn

[DBLP] [Google Scholoar] [English Version]

个人信息

　张美慧，北京理工大学计算机学院教授，博士生导师，入选2018年第十四批“国家海外高层次人才引进计划”, ACM杰出会员，IEEE高级会员。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60余篇，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）、IEEE Transactions on Knowledge and Data Engineering (TKDE) 期刊副主编、Springer Distributed and Parallel Databases期刊领域主编、国际顶级会议VLDB 2024程序委员会主席、IEEE ICDE 2018、 ICDE 2022-2023、VLDB 2018-2020、 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。

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

主要获奖

  • 2024 IEEE ICDE 最佳论文亚军（Best Paper Runner Up）

  • 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 最佳论文亚军（Best Paper Runner Up）

学术服务

理事会任职

  • Board member of VLDB endowment (2020-2025)

学术报告

  • IEEE BigData 2022 Keynote Speaker

  • SIGMOD 2022 Panelist

  • KDD 2021 ADS Invited Speaker

期刊任职

  • IEEE Transactions on Knowledge and Data Engineering Associate Editor

  • Distributed and Parallel Databases Survey Track Editor

  • ACM/IMS Transactions on Data Science Associate Editor

会议任职

  • VLDB 2024 PC Co-chair

  • ICDE 2023 Associate Editor

  • 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: 2025, 2022, 2021, 2020 (Industrial Track), 2014

  • KDD: 2022, 2021, 2020, 2019

  • ACM MM: 2015

科研项目

  • 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，2021-2022 ， 参与

代表论文

Full publication list and citation: [DBLP] [Google Scholoar]

  1. Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang: FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data. SIGMOD 2023: 107:1-107:28

  2. Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang: ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection. KDD 2023: 5071-5081

  3. Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang: PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning. ICDE 2023: 394-407

  4. Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang: A Survey on Deep Reinforcement Learning for Data Processing and Analytics. IEEE TKDE 35(5): 4446-4465 (2023)

  5. Meihui Zhang, Cong Yue, Changhao Zhu, Ziyue Zhong: LEDGERBENCH : A Framework for Benchmarking Ledger Databases. IEEE Data Engineering Bulletin 2022 Vol. 45 No. 2

  6. Ziyue Zhong, Meihui Zhang, Ju Fan, Chenxiao Dou: Semantics Driven Embedding Learning for Effective Entity Alignment. ICDE 2022: 2127-2140

  7. Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi: DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. PVLDB 15(12): 3445-3458 (2022)

  8. Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi: Serverless Data Science - Are We There Yet? A Case Study of Model Serving. SIGMOD 2022: 1866-1875

  9. 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

  10. Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang: ARM-Net: Adaptive Relation Modeling Network for Structured Data. SIGMOD 2021: 207-220

  11. Meihui Zhang, Zhongle Xie, Cong Yue, Ziyue Zhong: Spitz: A Verifiable Database System. PVLDB 13(12): 3449-3460 (2020)

  12. Pingcheng Ruan, Tien Tuan Anh Dinh, Qian Lin, Meihui Zhang, Gang Chen, Beng Chin Ooi: Revealing Every Story of Data in Blockchain Systems. SIGMOD Record 2020 (special issue for 2019 ACM SIGMOD Research Highlights)

  13. Pingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang, Gang Chen, Beng Chin Ooi: A Transactional Perspective on Execute-order-validate Blockchains. SIGMOD 2020: 543-557

  14. Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao: Analysis of Indexing Structures for Immutable Data. SIGMOD 2020: 925-935

  15. Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang: The Disruptions of 5G on Data-Driven Technologies and Applications. IEEE TKDE 32(6): 1179-1198 (2020)

  16. 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)

  17. Wei Lu, Yanyan Shen, Tongtong Wang, Meihui Zhang, H. V. Jagadish, Xiaoyong Du: Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems. IEEE TKDE 31(4): 733-746 (2019)

  18. Qingchao Cai, Zhongle Xie, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang: Effective Temporal Dependence Discovery in Time Series Data. PVLDB 11(8): 893-905 (2018)

  19. Sheng Wang, Tien Tuan Anh Dinh, Qian Lin, Zhongle Xie, Meihui Zhang, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan: ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications. PVLDB 11(10): 1137-1150 (2018)

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

  21. 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)

  22. 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 TKDE 30(7): 1366-1385 (2018)

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

  24. Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee: Adaptive Lightweight Regularization Tool for Complex Analytics. ICDE 2018: 485-496

  25. Jian Dai, Meihui Zhang, Gang Chen, Ju Fan, Kee Yuan Ngiam, Beng Chin Ooi: Fine-grained Concept Linking using Neural Networks in Healthcare. SIGMOD 2018: 51-66

  26. Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava: Reverse Engineering Aggregation Queries. PVLDB 10(11): 1394-1405 (2017)

  27. 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)

  28. Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi: CrowdOp: Query optimization for declarative crowdsourcing systems. ICDE 2016: 1546-1547

  29. Hao Zhang, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Meihui Zhang: In-Memory Big Data Management and Processing: A Survey. IEEE TKDE 27(7): 1920-1948 (2015)

  30. Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi: CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. IEEE TKDE 27(8): 2078-2092 (2015)

  31. Zheng Jye Ling, Quoc Trung Tran, Ju Fan, Gerald C. H. Koh, Thi Nguyen, Chuen Seng Tan, James Wei Luen Yip, Meihui Zhang: GEMINI: An Integrative Healthcare Analytics System. PVLDB 7(13): 1766-1771 (2014)

  32. Ju Fan, Meiyu Lu, Beng Chin Ooi, Wang-Chiew Tan, Meihui Zhang: A hybrid machine-crowdsourcing system for matching web tables. ICDE 2014: 976-987

  33. Meihui Zhang, Kaushik Chakrabarti: InfoGather+: semantic matching and annotation of numeric and time-varying attributes in web tables. SIGMOD 2013: 145-156

  34. Meihui Zhang, Hazem Elmeleegy, Cecilia M. Procopiuc, Divesh Srivastava: Reverse engineering complex join queries. SIGMOD 2013: 809-820

  35. Meihui Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, Cecilia M. Procopiuc, Divesh Srivastava: Automatic discovery of attributes in relational databases. SIGMOD 2011: 109-120

  36. Meihui Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, Cecilia M. Procopiuc, Divesh Srivastava: On Multi-Column Foreign Key Discovery. PVLDB 3(1): 805-814 (2010)

  37. Meihui Zhang, Su Chen, Christian S. Jensen, Beng Chin Ooi, Zhenjie Zhang: Effectively Indexing Uncertain Moving Objects for Predictive Queries. PVLDB 2(1): 1198-1209 (2009)