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About Me
Research Interests
Major Awards
Professional Activities
Selected Papers

Meihui Zhang (张美慧)

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Professor
School of Computer Science and Technology,
Beijing Institute of Technology
5 South Zhongguancun Street,
Beijing, China
E-mail: firstname_lastname@bit.edu.cn

[DBLP] [Google Scholoar] [中文主页]

About me

Meihui is currently a professor of School of Computer Science and Technology, Beijing Institute of Technology (BIT). Before joining BIT, she was an Assistant Professor at the Singapore University of Technology and Design (SUTD). She obtained her PhD from the National University of Singapore (NUS). Her main research interests include Big Data Management and Analytics, Large-scale Data Integration, Modern Database Systems, Blockchain and AI Systems.

She is a PMC and Committer of Apache SINGA, an Apache Top Level Project on distributed learning library, and is contributor of a few other open source systems, including FabricSharp. She is a winner of 2020 VLDB Early Career Research Contribution Award, 2019 CCF-IEEE CS Young Scientist Award and 2018 The Thousand Talents Program for Distinguished Young Scholars. She is a co-author of VLDB 2019 Best Paper, IEEE ICDE 2018 best paper runner up, and 2019 ACM SIGMOD Highlight Award paper. She has been elected to be the ACM Distinguished Member and IEEE Senior Member.

Meihui has served as Research Track Associate Editor of VLDB 2018-2020, VLDB 2023, SIGMOD 2021, SIGMOD 2023, ICDE 2018 and ICDE 2022-2023, Co-chair of VLDB 2024, Co-chair of DASFAA 2017 and EDBT 2022 Demo Track, and Co-chair of the BOSS Workshop 2018 (co-located with VLDB) . She is serving as Associate Editor for IEEE Transactions on Knowledge and Data Engineering (TKDE) and Survey Track Editor of Distributed and Parallel Databases. She is a trustee of VLDB endowment.

Research Interests

  • Big Data Management and Analytics

  • Large-scale Data Integration

  • Modern Database Systems

  • Blockchain Systems

  • AI Systems

Major Awards

  • 2020 VLDB Early Career Research Contribution Award:
    For contributions to cleaning, integration and analysis techniques for healthcare data, and deployment of those techniques in hospitals.

  • 2019 CCF-IEEE CS Young Scientist Award

  • 2019 ACM SIGMOD Research Highlight Award

  • 2019 VLDB Best Paper Award

  • 2018 IEEE ICDE Best Paper Award (Runner up)

Professional Activities

Trustee

  • Board member of VLDB endowment (2020-2025)

Invited Talks

  • IEEE BigData 2022 Keynote Speaker

  • SIGMOD 2022 Panelist

  • KDD 2021 ADS Invited Speaker

Journals

  • IEEE Transactions on Knowledge and Data Engineering Associate Editor

  • Distributed and Parallel Databases Survey Track Editor

  • ACM/IMS Transactions on Data Science Associate Editor

Conferences

  • 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

Selected PC memberships

  • SIGMOD: 2022, 2018, 2014

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

  • KDD: 2021, 2020, 2019

  • ACM MM: 2015

Selected Papers

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)