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个人简介

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”。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。 主要获奖 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)

研究领域

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

近期论文

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Changhao Zhu, Junzhe Li, Ziyue Zhong, Cong Yue, Meihui Zhang: A Survey on the Integration of Blockchains and Databases. Data Sci. Eng. 8(2): 196-219 (2023) Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao: GlassDB: An Efficient Verifiable Ledger Database System Through Transparency. Proc. VLDB Endow. 16(6): 1359-1371 (2023) Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang: A Survey on Deep Reinforcement Learning for Data Processing and Analytics. IEEE Trans. Knowl. Data Eng. 35(5): 4446-4465 (2023) Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Yeow Meng Chee, Gang Chen, Beng Chin Ooi: FLAC: Practical Failure-Aware Atomic Commit Protocol for Distributed Transactions. CoRR abs/2302.04500 (2023) Meihui Zhang, Cong Yue, Changhao Zhu, Ziyue Zhong: LEDGERBENCH: A Framework for Benchmarking Ledger Databases. IEEE Data Eng. Bull. 45(2): 59-69 (2022) Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi: DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. Proc. VLDB Endow. 15(12): 3445-3458 (2022) Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jér?me Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma ?zcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar T?zün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang: Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. 51(2): 69-73 (2022) Ling-Ze Meng, Chang Yao, Meihui Zhang, Zhongle Xie: SynBERT: Chinese Synonym Discovery on Privacy-Constrain Medical Terms with Pre-trained BERT. APWeb/WAIM (1) 2022: 331-344 Huichao Li, Ling-Ze Meng, Weiyu Zhang, Jianing Zhang, Ju Fan, Meihui Zhang: A Two-Phase Approach for Recognizing Tables with Complex Structures. DASFAA (1) 2022: 587-595 Ziyue Zhong, Meihui Zhang, Ju Fan, Chenxiao Dou: Semantics Driven Embedding Learning for Effective Entity Alignment. ICDE 2022: 2127-2140 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 Conference 2022: 1866-1875 Zihui Gu, Ruixue Fan, Xiaoman Zhao, Meihui Zhang, Ju Fan, Xiaoyong Du: OpenTFV: An Open Domain Table-Based Fact Verification System. SIGMOD Conference 2022: 2405-2408 Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Ré, Meihui Zhang, Magdalena Balazinska: The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? SIGMOD Conference 2022: 2498-2500 Julia Stoyanovich, Jens Teubner, Paolo Guagliardo, Milos Nikolic, Andreas Pieris, Jan Mühlig, Fatma ?zcan, Sebastian Schelter, H. V. Jagadish, Meihui Zhang: Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29 - April 1, 2022. OpenProceedings.org 2022, ISBN 978-3-89318-086-8 [contents] Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung, Gang Chen, Mike Zheng Shou, Xiaokui Xiao, Meihui Zhang: Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective. CoRR abs/2206.10326 (2022) Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao: GlassDB: Practical Verifiable Ledger Database Through Transparency. CoRR abs/2207.00944 (2022) Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang: Improving Data Analytics with Fast and Adaptive Regularization. IEEE Trans. Knowl. Data Eng. 33(2): 551-568 (2021) Pingcheng Ruan, Tien Tuan Anh Dinh, Qian Lin, Meihui Zhang, Gang Chen, Beng Chin Ooi: LineageChain: a fine-grained, secure and efficient data provenance system for blockchains. VLDB J. 30(1): 3-24 (2021) 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 Mumeng Bo, Meihui Zhang: Learning Dynamic Coherence with Graph Attention Network for Biomedical Entity Linking. IJCNN 2021: 1-8 Lei Zhu, Kaiyuan Yang, Meihui Zhang, Ling Ling Chan, Teck Khim Ng, Beng Chin Ooi: Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. MICCAI (2) 2021: 394-404 Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi: SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. ACM Multimedia 2021: 1293-1302 Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng: Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. ACM Multimedia 2021: 3024-3033 Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang: ARM-Net: Adaptive Relation Modeling Network for Structured Data. SIGMOD Conference 2021: 207-220 Pingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin, Meihui Zhang, Gang Chen, Qian Lin, Beng Chin Ooi: Blockchains vs. Distributed Databases: Dichotomy and Fusion. SIGMOD Conference 2021: 1504-1517 Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi: AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. SIGMOD Conference 2021: 2208-2216 Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi: Serverless Model Serving for Data Science. CoRR abs/2103.02958 (2021) Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi: AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. CoRR abs/2103.16196 (2021) Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang: ARM-Net: Adaptive Relation Modeling Network for Structured Data. CoRR abs/2107.01830 (2021) Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi: SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. CoRR abs/2108.02572 (2021) Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang: A Survey on Deep Reinforcement Learning for Data Processing and Analytics. CoRR abs/2108.04526 (2021) Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng: Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. CoRR abs/2109.04284 (2021) Meihui Zhang, Zhongle Xie, Cong Yue, Ziyue Zhong: Spitz: A Verifiable Database System. Proc. VLDB Endow. 13(12): 3449-3460 (2020) Pingcheng Ruan, Tien Tuan Anh Dinh, Qian Lin, Meihui Zhang, Gang Chen, Beng Chin Ooi: Revealing Every Story of Data in Blockchain Systems. SIGMOD Rec. 49(1): 70-77 (2020) 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 Trans. Knowl. Data Eng. 32(6): 1179-1198 (2020) Zhongle Xie, Hongbin Ying, Cong Yue, Meihui Zhang, Gang Chen, Beng Chin Ooi: Cool, a COhort OnLine analytical processing system. ICDE 2020: 577-588 Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans: ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. ICDE 2020: 1718-1721 Pingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang, Gang Chen, Beng Chin Ooi: A Transactional Perspective on Execute-order-validate Blockchains. SIGMOD Conference 2020: 543-557 Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao: Analysis of Indexing Structures for Immutable Data. SIGMOD Conference 2020: 925-935 Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao: Analysis of Indexing Structures for Immutable Data. CoRR abs/2003.02090 (2020) Pingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang, Gang Chen, Beng Chin Ooi: A Transactional Perspective on Execute-order-validate Blockchains. CoRR abs/2003.10064 (2020) Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans: ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. CoRR abs/2004.07585 (2020) Meihui Zhang, Zhongle Xie, Cong Yue, Ziyue Zhong: Spitz: A Verifiable Database System. CoRR abs/2008.09268 (2020) Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi: MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. CoRR abs/2010.10246 (2020) Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang: 5G: Agent for Further Digital Disruptive Transformations. IEEE Data Eng. Bull. 42(3): 9-12 (2019) Pingcheng Ruan, Gang Chen, Anh Dinh, Qian Lin, Beng Chin Ooi, Meihui Zhang: Fine-Grained, Secure and Efficient Data Provenance for Blockchain. Proc. VLDB Endow. 12(9): 975-988 (2019) Wei Lu, Yanyan Shen, Tongtong Wang, Meihui Zhang, H. V. Jagadish, Xiaoyong Du: Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems. IEEE Trans. Knowl. Data Eng. 31(4): 733-746 (2019) Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, Beng Chin Ooi: Effective and Efficient Dropout for Deep Convolutional Neural Networks. CoRR abs/1904.03392 (2019) Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan: Database Meets Deep Learning: Challenges and Opportunities. CoRR abs/1906.08986 (2019) 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. CoRR abs/1909.08096 (2019) Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang: 5G: Agent for Further Digital Disruptive Transformations. CoRR abs/1909.10152 (2019) Pingcheng Ruan, Gang Chen, Tien Tuan Anh Dinh, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Meihui Zhang: Blockchains and Distributed Databases: a Twin Study. CoRR abs/1910.01310 (2019) Qingchao Cai, Zhongle Xie, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang: Effective Temporal Dependence Discovery in Time Series Data. Proc. VLDB Endow. 11(8): 893-905 (2018) 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. Proc. VLDB Endow. 11(10): 1137-1150 (2018) Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava: REGAL+: Reverse Engineering SPJA Queries. Proc. VLDB Endow. 11(12): 1982-1985 (2018) 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. Proc. VLDB Endow. 12(2): 128-140 (2018) 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 Trans. Knowl. Data Eng. 30(7): 1366-1385 (2018) 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) 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 Ying Xu, Dongxiang Zhang, Meihui Zhang, Dongsheng Li, Xiaoling Wang, Heng Tao Shen: Continuous Proximity Detection via Predictive Safe Region Construction. ICDE 2018: 629-640 Zhongle Xie, Qingchao Cai, Gang Chen, Rui Mao, Meihui Zhang: A Comprehensive Performance Evaluation of Modern In-Memory Indices. ICDE 2018: 641-652 Qian Lin, Gang Chen, Meihui Zhang: On the Design of Adaptive and Speculative Concurrency Control in Distributed Databases. ICDE 2018: 1376-1379 Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Yuval Elovici, Xiaofang Zhou: Mining Subgraphs from Propagation Networks through Temporal Dynamic Analysis. MDM 2018: 66-75 Jian Dai, Meihui Zhang, Gang Chen, Ju Fan, Kee Yuan Ngiam, Beng Chin Ooi: Fine-grained Concept Linking using Neural Networks in Healthcare. SIGMOD Conference 2018: 51-66 Ju Fan, Meihui Zhang, Beng Chin Ooi: Crowd Database Systems. Encyclopedia of Database Systems (2nd ed.) 2018 Sheng Wang, Tien Tuan Anh Dinh, Qian Lin, Zhongle Xie, Meihui Zhang, Qingchao Cai, Gang Chen, Wanzeng Fu, Beng Chin Ooi, Pingcheng Ruan: ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications. CoRR abs/1802.04949 (2018) Wei Wang, Sheng Wang, Jinyang Gao, Meihui Zhang, Gang Chen, Teck Khim Ng, Beng Chin Ooi: Rafiki: Machine Learning as an Analytics Service System. CoRR abs/1804.06087 (2018) Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou: PANDA: Facilitating Usable AI Development. CoRR abs/1804.09997 (2018) Liangqu Long, Wei Wang, Jun Wen, Meihui Zhang, Qian Lin, Beng Chin Ooi: Object-Level Representation Learning for Few-Shot Image Classification. CoRR abs/1805.10777 (2018) Guoliang Li, Meihui Zhang, Beng Chin Ooi: Towards a Unified Graph Model for Supporting Data Management and Usable Machine Learning. IEEE Data Eng. Bull. 40(3): 42-51 (2017) Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava: Reverse Engineering Aggregation Queries. Proc. VLDB Endow. 10(11): 1394-1405 (2017) Wei Lu, Jiajia Hou, Ying Yan, Meihui Zhang, Xiaoyong Du, Thomas Moscibroda: MSQL: efficient similarity search in metric spaces using SQL. VLDB J. 26(6): 829-854 (2017) Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Xiaofang Zhou, Shazia Wasim Sadiq: Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation. DASFAA (1) 2017: 490-506 Xin Ji, Wei Wang, Meihui Zhang, Yang Yang: Cross-Domain Image Retrieval with Attention Modeling. ACM Multimedia 2017: 1654-1662 Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, James Wei Luen Yip: Big Healthcare Data Analytics: Challenges and Applications. Handbook of Large-Scale Distributed Computing in Smart Healthcare 2017: 11-41 Anh Dinh, Ji Wang, Sheng Wang, Gang Chen, Wei-Ngan Chin, Qian Lin, Beng Chin Ooi, Pingcheng Ruan, Kian-Lee Tan, Zhongle Xie, Hao Zhang, Meihui Zhang: UStore: A Distributed Storage With Rich Semantics. CoRR abs/1702.02799 (2017) Chang Yao, Meihui Zhang, Qian Lin, Beng Chin Ooi, Jiatao Xu: Scaling Distributed Transaction Processing and Recovery based on Dependency Logging. CoRR abs/1703.02722 (2017) Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, Ji Wang: Untangling Blockchain: A Data Processing View of Blockchain Systems. CoRR abs/1708.05665 (2017) Xin Ji, Wei Wang, Meihui Zhang, Yang Yang: Cross-Domain Image Retrieval with Attention Modeling. CoRR abs/1709.01784 (2017) Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan: Database Meets Deep Learning: Challenges and Opportunities. SIGMOD Rec. 45(2): 17-22 (2016) Chang Yao, Divyakant Agrawal, Gang Chen, Qian Lin, Beng Chin Ooi, Weng-Fai Wong, Meihui Zhang: Exploiting Single-Threaded Model in Multi-Core In-Memory Systems. IEEE Trans. Knowl. Data Eng. 28(10): 2635-2650 (2016) Wei Wang, Gang Chen, Haibo Chen, Tien Tuan Anh Dinh, Jinyang Gao, Beng Chin Ooi, Kian-Lee Tan, Sheng Wang, Meihui Zhang: Deep Learning at Scale and at Ease. ACM Trans. Multim. Comput. Commun. Appl. 12(4s): 69:1-69:25 (2016) Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi: CrowdOp: Query optimization for declarative crowdsourcing systems. ICDE 2016: 1546-1547 Hao Zhang, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Meihui Zhang: In-Memory Big Data Management and Processing: A Survey. IEEE Trans. Knowl. Data Eng. 27(7): 1920-1948 (2015) Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi: CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. IEEE Trans. Knowl. Data Eng. 27(8): 2078-2092 (2015) Beng Chin Ooi, Kian-Lee Tan, Sheng Wang, Wei Wang, Qingchao Cai, Gang Chen, Jinyang Gao, Zhaojing Luo, Anthony K. H. Tung, Yuan Wang, Zhongle Xie, Meihui Zhang, Kaiping Zheng: SINGA: A Distributed Deep Learning Platform. ACM Multimedia 2015: 685-688 Chang Yao, Divyakant Agrawal, Pengfei Chang, Gang Chen, Beng Chin Ooi, Weng-Fai Wong, Meihui Zhang: DGCC: A New Dependency Graph based Concurrency Control Protocol for Multicore Database Systems. CoRR abs/1503.03642 (2015) 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. Proc. VLDB Endow. 7(13): 1766-1771 (2014) Beng Chin Ooi, Kian-Lee Tan, Quoc Trung Tran, James Wei Luen Yip, Gang Chen, Zheng Jye Ling, Thi Nguyen, Anthony K. H. Tung, Meihui Zhang: Contextual crowd intelligence. SIGKDD Explor. 16(1): 39-46 (2014) 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 Meihui Zhang, Kaushik Chakrabarti: InfoGather+: semantic matching and annotation of numeric and time-varying attributes in web tables. SIGMOD Conference 2013: 145-156 Meihui Zhang, Hazem Elmeleegy, Cecilia M. Procopiuc, Divesh Srivastava: Reverse engineering complex join queries. SIGMOD Conference 2013: 809-820 Xuan Liu, Meiyu Lu, Beng Chin Ooi, Yanyan Shen, Sai Wu, Meihui Zhang: CDAS: A Crowdsourcing Data Analytics System. Proc. VLDB Endow. 5(10): 1040-1051 (2012) Gao Cong, Hua Lu, Beng Chin Ooi, Dongxiang Zhang, Meihui Zhang: Efficient Spatial Keyword Search in Trajectory Databases. CoRR abs/1205.2880 (2012) Xuan Liu, Meiyu Lu, Beng Chin Ooi, Yanyan Shen, Sai Wu, Meihui Zhang: CDAS: A Crowdsourcing Data Analytics System. CoRR abs/1207.0143 (2012) Meihui Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, Cecilia M. Procopiuc, Divesh Srivastava: Automatic discovery of attributes in relational databases. SIGMOD Conference 2011: 109-120 Gang Chen, Chen Liu, Meiyu Lu, Beng Chin Ooi, Shanshan Ying, Anthony K. H. Tung, Dongxiang Zhang, Meihui Zhang: A cross-service travel engine for trip planning. SIGMOD Conference 2011: 1251-1254 Meihui Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, Cecilia M. Procopiuc, Divesh Srivastava: On Multi-Column Foreign Key Discovery. Proc. VLDB Endow. 3(1): 805-814 (2010) Meihui Zhang, Su Chen, Christian S. Jensen, Beng Chin Ooi, Zhenjie Zhang: Effectively Indexing Uncertain Moving Objects for Predictive Queries. Proc. VLDB Endow. 2(1): 1198-1209 (2009) Qi Han, Chen Song, Meihui Zhang, Xiamu Niu: A Novel Facial Image Retrieval Algorithm Based on PLT-PCA. IIH-MSP 2008: 87-90 Qi Han, Meihui Zhang, Chen Song, Zhifang Wang, Xiamu Niu: A Face Image Database for Evaluating Out-of-Focus Blur. ISDA (2) 2008: 277-282

学术兼职

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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