基本信息
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职业迁徙
个人简介
Reseach Areas
Yuanyuan is currently co-leading the ML-for-Systems research efforts in GSL. Her other research interests include Systems for ML, HTAP, big data, and graph databases.
Selected Awards
2020 ACM Distinguished Member
2020 Outstanding Technical Achievement Award for contribution to IBM Db2 Event Store, IBM
2019 IBM A-Level Accomplishment for contribution to IBM Db2 Event Store, IBM Research
2019 Invention Achievement Award, IBM
2019 VLDB 2019 Distinguished Reviewer Award, VLDB 2019
2019 SIGMOD 2019 Research Highlight Award, “Online Model Management via Temporally Biased Sampling”, SIGMOD 2019
2019 Research Division Award for the work in declarative machine/deep learning, IBM
2019 Outstanding Technical Achievement Award for the work in large-scale graph analytics and infrastructure, IBM
2018 EDBT Best Paper Award, “Temporally-Biased Sampling for Online Model Management”, EDBT 2018
2018 IBM A-Level Accomplishment for the work in large scale graph analytics and infrastructure, IBM Research
2018 IBM A-Level Accomplishment for the work in declarative machine/deep learning (SystemML), IBM Research
2016 Outstanding Technical Achievement Award for the work in join algorithms for big data, IBM
2016 Eminence & Excellence Award, IBM Research
2015 IBM A-Level Accomplishment for the work in join algorithms for big data, IBM Research
2015 IBM A-Level Accomplishment for the contributions to the SystemML project, IBM Research
2013 High Value Patent Application Award, IBM Research
2012 Eminence & Excellence Award, IBM Research
2011 Eminence & Excellence Award, IBM Research
2008 Distinguished Achievement Award, University of Michigan
2007 2nd Place, CSE Honor Competition, University of Michigan
2007 Rackham Predoctoral Fellowship, University of Michigan
2003 Rackham Graduate Fellowship, University of Michigan
Yuanyuan is currently co-leading the ML-for-Systems research efforts in GSL. Her other research interests include Systems for ML, HTAP, big data, and graph databases.
Selected Awards
2020 ACM Distinguished Member
2020 Outstanding Technical Achievement Award for contribution to IBM Db2 Event Store, IBM
2019 IBM A-Level Accomplishment for contribution to IBM Db2 Event Store, IBM Research
2019 Invention Achievement Award, IBM
2019 VLDB 2019 Distinguished Reviewer Award, VLDB 2019
2019 SIGMOD 2019 Research Highlight Award, “Online Model Management via Temporally Biased Sampling”, SIGMOD 2019
2019 Research Division Award for the work in declarative machine/deep learning, IBM
2019 Outstanding Technical Achievement Award for the work in large-scale graph analytics and infrastructure, IBM
2018 EDBT Best Paper Award, “Temporally-Biased Sampling for Online Model Management”, EDBT 2018
2018 IBM A-Level Accomplishment for the work in large scale graph analytics and infrastructure, IBM Research
2018 IBM A-Level Accomplishment for the work in declarative machine/deep learning (SystemML), IBM Research
2016 Outstanding Technical Achievement Award for the work in join algorithms for big data, IBM
2016 Eminence & Excellence Award, IBM Research
2015 IBM A-Level Accomplishment for the work in join algorithms for big data, IBM Research
2015 IBM A-Level Accomplishment for the contributions to the SystemML project, IBM Research
2013 High Value Patent Application Award, IBM Research
2012 Eminence & Excellence Award, IBM Research
2011 Eminence & Excellence Award, IBM Research
2008 Distinguished Achievement Award, University of Michigan
2007 2nd Place, CSE Honor Competition, University of Michigan
2007 Rackham Predoctoral Fellowship, University of Michigan
2003 Rackham Graduate Fellowship, University of Michigan
研究兴趣
论文共 187 篇作者统计合作学者相似作者
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Proceedings of the ACM on Management of Datano. 4 (2024): 1-25
CoRRno. 1 (2024): 1-27
19TH INTERNATIONAL WORKSHOP ON DATA MANAGEMENT ON NEW HARDWARE, DAMON 2023pp.102-106, (2023)
Yiwen Zhu,Yuanyuan Tian,Joyce Cahoon,Subru Krishnan,Ankita Agarwal, Rana Alotaibi,Jesús Camacho-Rodriguez, Bibin Chundatt, Andrew Chung,Niharika Dutta,Andrew Fogarty,Anja Gruenheid,
SIGMOD/PODS '23: Companion of the 2023 International Conference on Management of Datapp.217-224, (2023)
引用2浏览0EI引用
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Rui Liu,Kwanghyun Park,Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo,Rathijit Sen,Matteo Interlandi,Konstantinos Karanasos,Yuanyuan Tian,Jesus Camacho-Rodriguez
PROCEEDINGS OF THE VLDB ENDOWMENTno. 13 (2023): 4230-4239
SIGMOD Rec.no. 4 (2022): 60-67
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