张美慧,北京理工大学人工智能学院教授、博士生导师,国家级青年人才。毕业于新加坡国立大学,获计算机科学博士学位,主要研究方向为大数据管理与分析、新型数据管理系统、区块链及人工智能等。近年来,先后主持国家自然科学基金联合基金项目、国家重点研发计划课题等。担任VLDB理事会理事、IEEE Transactions on Knowledge and Data Engineering (TKDE) 期刊副主编、VLDB 2024程序委员会主席,自2018年起持续担任CCF-A类会议SIGMOD、VLDB、ICDE的副主编(Associate Editor)或领域主席(PC Area Chair),担任VLDB 2026 Workshop Track主席、ICDE 2026 Tutorial Track主席、CIDR 2026-2027 Diversity & Inclusion 主席、EDBT/ICDT 2026 Diversity & Inclusion主席、EDBT 2022 Demo Track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,获VLDB 2019最佳论文奖、ICDE 2018及ICDE 2024最佳论文亚军、ACM SIGMOD 2020 突出研究奖及SIGMOD 2024系统奖等。
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/
Liming Wang, Zhaojing Luo, Meihui Zhang: PreTab: Pre-trained Model with Table-aware Adaptation for Structured Data Prediction. SIGMOD 2026 (CCF-A)
Chi Zhang, Yuxin Yang, Tao Chen, Zhaojing Luo, Meihui Zhang: TableGuide: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA. SIGMOD 2026 (CCF-A)
Zhaoxuan Ji, Xinlu Wang, Zhaojing Luo, Zhongle Xie, Meihui Zhang: Optimized Batch Prompting for Cost-effective LLMs. PVLDB 18(7): 2172-2184 (2025) (CCF-A)
Zhaoxuan Ji, Zhongle Xie, Yuncheng Wu, Meihui Zhang: LBSC: A Cost-Aware Caching Framework for Cloud Databases. ICDE 2024: 4911-4924 (CCF-A) (Best Paper Runner Up)
Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai: Applications and Challenges for Large Language Models: From Data Management Perspective. ICDE 2024: 5530-5541 (CCF-A)
Xu Yang, Meihui Zhang, Ju Fan, Zeyu Luo, Yuxin Yang: A Multi-Task Learning Framework for Reading Comprehension of Scientific Tabular Data. ICDE 2024: 3710-3724 (CCF-A)
Peng Huang, Meihui Zhang, Ziyue Zhong, Chengliang Chai, Ju Fan: Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration. ICDE 2024: 3462-3475 (CCF-A)
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 (CCF-A)
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 (CCF-A)
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 (CCF-A)
国家自然科学基金,联合基金项目,2025-2028,项目负责人
CCF-华为胡杨林基金,2025-2026,项目负责人
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