吴定明，副教授，2005年7月于华中科技大学计算机科学与技术系获理学学士学位，2008年7月于北京大学获计算机应用理学硕士学位，2011年7月于丹麦奥尔堡大学获计算机科学哲学博士学位，2015年6月加入开yun体育官网入口登录苹果。主要研究方向为数据管理，包括空间文本数据、知识图谱数据、社交网络数据上的索引、查询处理与优化和挖掘。主持国家自然科学基金，广东省自然科学基金，深圳市基础研究计划等项目。入选深圳市海外高层次人才，深圳市高层次专业人才培养计划。

研究成果

• Dingming Wu; Erjia Xiao; Yi Zhu; Christian S. Jensen; Kezhong Lu: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs. IEEE Trans. Knowl. Data Eng. (2021) doi: 10.1109/TKDE.2021.3118552
• Dingming Wu; Ilkcan Keles; Song Wu; Hao Zhou; Simonas Saltenis; Christian S. Jensen; Kezhong Lu: Density-Based Top-K Spatial Textual Clusters Retrieval. IEEE Trans. Knowl. Data Eng. (2021) doi: 10.1109/TKDE.2021.3049785
• Dingming Wu, Hao Zhou, Jieming Shi, Nikos Mamoulis: Top-k relevant semantic place retrieval on spatiotemporal RDF data. VLDB J. 29(4): 893-917 (2020)
• Dingming Wu, Can Hou, Erjia Xiao, Christian S. Jensen: Semantic Region Retrieval from Spatial RDF Data. DASFAA (2) 2020: 415-431
• Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang: Efficiently Mining Maximal Diverse Frequent Itemsets. DASFAA (2) 2019: 191-207
• Dingming Wu, Yi Zhu, Christian S. Jensen: In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs. DASFAA (2) 2019: 519-535
• Dingming Wu, Jieming Shi, Nikos Mamoulis: Density-Based Place Clustering Using Geo-Social Network Data. IEEE Trans. Knowl. Data Eng. 30(5): 838-851 (2018)
• Shuyao Qi, Dingming Wu, Nikos Mamoulis: Location Aware Keyword Query Suggestion Based on Document Proximity. IEEE Trans. Knowl. Data Eng. 28(1): 82-97 (2016)
• Jieming Shi, Dingming Wu, Nikos Mamoulis: Textually Relevant Spatial Skylines. IEEE Trans. Knowl. Data Eng. 28(1): 224-237 (2016)
• Dingming Wu, Christian S. Jensen: A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. CIKM 2016: 2095-2100
• Jieming Shi, Dingming Wu, Nikos Mamoulis: Top-k Relevant Semantic Place Retrieval on Spatial RDF Data. SIGMOD Conference 2016: 1977-1990
• Dingming Wu, Byron Choi, Jianliang Xu , Christian S. Jensen: Authentication of Moving Top-k Spatial Keyword Queries. IEEE Trans. Knowl. Data Eng. 27(4): 922-935 (2015)