唐博Google Scholar ResearcherID

助理教授 计算机科学与工程系
唐博曾在微软亚洲研究院（MSRA）和荷兰国家数学与计算机科学研究院（CWI）担任访问研究员，在2017年加入南科大后，创立了南科大数据库课题组。课题组研究成果一贯发表于数据工程与数据管理顶尖国际会议和期刊上（如SIGMOD,PVLDB,SIGIR,TKDE等），研发技术广泛应用于Microsoft Power BI产品和开源列式存储数据库Monet DB系统中，目前主持国家自然科学基金，广东省自然科学基金和深圳市基础研究自由探索项目各一项。唐博入选2019年海德堡获奖者论坛（Heidelberg Laureate Forum）和全球数学与计算机领域年轻研究者一同受邀与图灵奖、阿贝尔奖、奈望林纳奖和菲尔兹奖等数学与计算机领域国际顶级奖项获奖者在德国海德堡进行为期一周的研讨。
个人简介教育背景2008-2012, 四川大学, 工学学士
2013-2017, 香港理工大学, 哲学博士
工作经历2016, 访问研究员, 荷兰国家数学与计算机研究院(CWI),阿姆斯特丹,荷兰
2015, 访问研究员, 微软亚洲研究院 (MSRA), 北京, 中国
学术服务Reviewer for Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'2019,2020)
Reviewer for IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE'2017,2018,2019)
Reviewer for 20th International Conference on Web Information Systems Engineering (WISE'2019)
Reviewer for APWeb-WAIM 2018, 2019
Subreviewer for International Conference on Database System For Advanced Applications (DASFAA'2018)
Reviewer for World Wide Web Journal (WWWJ)
Reviewer for ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP)
Reviewer for ACM International Conference on Information and Knowledge Management (CIKM'2017, short paper)
Reviewer for Distributed and Parallel Databases (DAPD'2017)
External Reviewer for International Conference on Very Large Data Bases (VLDB'2017, demo track)
External Reviewer for International Conference on Extending Database Technology (EDBT'2018)
External Reviewer for International Conference on Data Engineering (ICDE'2016,2015,2014)
External Reviewer for SIGSPATIAL'2014,2015, CIKM'2014, SSDBM'2014, SSTD'2015, DASFAA'2015
荣誉SUSTech Excellent Teaching Award (2019)
2019 ACM Turing Award Celebration Conference Best Paper Runner-up (2019)
Young researcher (computer science) in 7th Heidelberg Laureate Forum (2019)
ACM-ICPC Asia Regional Contest Gold Medal, coach (Jiaozuo'2018)
ACM-ICPC Asia Regional Contest Gold Medal, coach (Qingdao'2018)
ACM SIGMOD Student Travel Award, (SIGMOD'2017)
Postgraduate Scholarships by PolyU HK, (2013-2017)
IBM Fellowship, for Excellent Chinese Computer Science Students (2011-2012)
Baosteel Fellowship, for 8 Most Excellent Students in Sichuan University (2010)
National Scholarship, for top 1% students in Sichuan University (2011-2012)

个人简介

研究领域数据库技术和大数据系统

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教学在2017年创立南方科技大学算法设计竞赛队并担任竞赛教练，在2018年指导竞赛队为我校取得国际大学生程序设计竞赛亚洲区域赛金牌零突破，截至目前竞赛队累计取得亚洲区，国家级、省级金银铜奖36项、108人次。此外唐博主持广东省教学质量工程一项，还担任2015级、2017级树礼书院计算机学生班主任，指导数据课题组多名本科生在CCF-A类会议上（PVLDB,SIGIR,ICDE）发表科研论文，数据库课题组多名本科生获得十佳毕业生和优秀毕业生等荣誉，唐博于2019年获评南方科技大学优秀教学奖。

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学术成果 查看更多唐博教授研究成果一贯发表于数据工程与数据管理顶尖国际会议和期刊上（如SIGMOD,PVLDB,SIGIR,TKDE等)
[1] Bo Tang, Kyriakos Mouratidis, Man Lung Yiu, Zhenyu Chen.
Creating Top Ranking Options in the Continuous Option and Preference Space.
45th International Conference on Very Large Data Bases (PVLDB), Los Angeles, California, USA, August 2019.
[2] Chuang Yang*, Yilan Zhang*, Bo Tang, Min Zhu.
Vaite: a Visualization-Assisted Interactive Big Urban Trajectory Data Exploration System.
IEEE 35th International Conference on Data Engineering(ICDE, demo paper), Macau, China, April 2019.
[3] Kyriakos Mouratidis, Bo Tang.
Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings.
44th International Conference on Very Large Data Bases (PVLDB), Rio de Janeiro, RJ, Brazil, August 2018.
[4] Bo Tang, Kyriakos Mouratidis, Man Lung Yiu.
Determining the Impact Regions of Competing Options in Preference Space.
Proceedings of the ACM Conference on Management of Data (SIGMOD), Chicago, Illinois, USA, May 2017.
[5] Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang.
Extracting Top-K Insights from Multi-dimensional Data.
Proceedings of the ACM Conference on Management of Data (SIGMOD), Chicago, Illinois, USA, May 2017.



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