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ORCIDYuanyuan Tian 0001
Person information
- affiliation: Microsoft Research, Gray Systems Lab (GSL), Madison, WI, USA
- affiliation (former): IBM Research - Almaden, San Jose, CA, USA
- affiliation (former, PhD 2008): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Yuanyuan Tian (aka: Yuan-Yuan Tian) — disambiguation page
- Yuanyuan Tian 0002
![[0000-0002-5137-1296]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5137-1296")
— Arizona State University (ASU), School of Geographical Sciences and Urban Planning, Tempe, AZ, USA - Yuanyuan Tian 0003 — Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China
- Yuanyuan Tian 0004 — Chongqing University of Posts and Telecommunications, College of Bio-information, Chongqing, China
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2020 – today
- 2024
[j27]Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian:
Sibyl: Forecasting Time-Evolving Query Workloads. Proc. ACM Manag. Data 2(1): 53:1-53:27 (2024)- [j26]Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian:
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud. Proc. VLDB Endow. 17(12): 4269-4272 (2024) - [j25]Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Jinli Cao, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. SIGMOD Rec. 53(2): 63-67 (2024) - [j24]Angela Bonifati, M. Tamer Özsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang:
A Roadmap to Graph Analytics. SIGMOD Rec. 53(4): 43-51 (2024) - [c27]Angela Bonifati, M. Tamer Özsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang:
The Future of Graph Analytics. SIGMOD Conference Companion 2024: 544-545 - [i9]Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian:
GEqO: ML-Accelerated Semantic Equivalence Detection. CoRR abs/2401.01280 (2024) - [i8]Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian:
Sibyl: Forecasting Time-Evolving Query Workloads. CoRR abs/2401.03723 (2024) - [i7]Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. CoRR abs/2405.01813 (2024) - [i6]Rana Alotaibi, Yuanyuan Tian, Stefan Grafberger, Jesús Camacho-Rodríguez, Nicolas Bruno, Brian Kroth, Sergiy Matusevych, Ashvin Agrawal, Mahesh Behera, Ashit Gosalia, César A. Galindo-Legaria, Milind Joshi, Milan Potocnik, Beysim Sezgin, Xiaoyu Li, Carlo Curino:
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? CoRR abs/2411.13704 (2024) - 2023
- [j23]Brian Hentschel, Peter J. Haas, Yuanyuan Tian:
Exact PPS sampling with bounded sample size. Inf. Process. Lett. 182: 106382 (2023) - [j22]Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian:
GEqO: ML-Accelerated Semantic Equivalence Detection. Proc. ACM Manag. Data 1(4): 223:1-223:25 (2023) - [j21]Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez:
Optimizing Data Pipelines for Machine Learning in Feature Stores. Proc. VLDB Endow. 16(13): 4230-4239 (2023) - [j20]Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52(2): 38-42 (2023) - [c26]Rathijit Sen, Yuanyuan Tian:
Microarchitectural Analysis of Graph BI Queries on RDBMS. DaMoN 2023: 102-106 - [c25]Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion 2023: 217-224 - 2022
- [j19]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, Jérôme 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 Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, 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) - [j18]Fatma Özcan, Yuanyuan Tian:
Reminiscences on Influential Papers. SIGMOD Rec. 51(3): 38-39 (2022) - [j17]Yuanyuan Tian:
The World of Graph Databases from An Industry Perspective. SIGMOD Rec. 51(4): 60-67 (2022) - [i5]Yuanyuan Tian:
The World of Graph Databases from An Industry Perspective. CoRR abs/2211.13170 (2022) - 2020
- [j16]Christian Garcia-Arellano, Adam J. Storm, David Kalmuk, Hamdi Roumani, Ronald Barber, Yuanyuan Tian, Richard Sidle, Fatma Özcan, Matt Spilchen, Josh Tiefenbach, Daniel C. Zilio, Lan Pham, Kostas Rakopoulos, Alexander Cheung, Darren Pepper, Imran Sayyid, Gidon Gershinsky, Gal Lushi, Hamid Pirahesh:
Db2 Event Store: A Purpose-Built IoT Database Engine. Proc. VLDB Endow. 13(12): 3299-3312 (2020) - [c24]Abdul Quamar, Jannik Straube, Yuanyuan Tian:
Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare. CIDR 2020 - [c23]Yuanyuan Tian, En Liang Xu, Wei Zhao, Mir Hamid Pirahesh, Suijun Tong, Wen Sun, Thomas Kolanko, Md. Shahidul Haque Apu, Huijuan Peng:
IBM Db2 Graph: Supporting Synergistic and Retrofittable Graph Queries Inside IBM Db2. SIGMOD Conference 2020: 345-359
2010 – 2019
- 2019
- [j15]Yuanyuan Tian, Suijun Tong, Mir Hamid Pirahesh, Wen Sun, En Liang Xu, Wei Zhao:
Synergistic Graph and SQL Analytics Inside IBM Db2. Proc. VLDB Endow. 12(12): 1782-1785 (2019) - [j14]Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber:
HERMIT in Action: Succinct Secondary Indexing Mechanism via Correlation Exploration. Proc. VLDB Endow. 12(12): 1882-1885 (2019) - [j13]Brian Hentschel, Peter J. Haas, Yuanyuan Tian:
Online Model Management via Temporally Biased Sampling. SIGMOD Rec. 48(1): 69-76 (2019) - [j12]Brian Hentschel, Peter J. Haas, Yuanyuan Tian:
General Temporally Biased Sampling Schemes for Online Model Management. ACM Trans. Database Syst. 44(4): 14:1-14:45 (2019) - [c22]Ronald Barber, Adam J. Storm, Yuanyuan Tian, Pinar Tözün, Yingjun Wu, Christian Garcia-Arellano, Ronen Grosman, Guy M. Lohman, C. Mohan, René Müller, Hamid Pirahesh, Vijayshankar Raman, Richard Sidle:
WiSer: A Highly Available HTAP DBMS for IoT Applications. IEEE BigData 2019: 268-277 - [c21]Chen Luo, Pinar Tözün, Yuanyuan Tian, Ronald Barber, Vijayshankar Raman, Richard Sidle:
Umzi: Unified Multi-Zone Indexing for Large-Scale HTAP. EDBT 2019: 1-12 - [c20]Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber:
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations. SIGMOD Conference 2019: 1223-1240 - [r1]Ronald Barber, Vijayshankar Raman, Richard Sidle, Yuanyuan Tian, Pinar Tözün:
Wildfire: HTAP for Big Data. Encyclopedia of Big Data Technologies 2019 - [i4]Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber:
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations. CoRR abs/1903.11203 (2019) - [i3]Brian Hentschel, Peter J. Haas, Yuanyuan Tian:
Temporally-Biased Sampling Schemes for Online Model Management. CoRR abs/1906.05677 (2019) - [i2]Ronald Barber, Christian Garcia-Arellano, Ronen Grosman, Guy M. Lohman, C. Mohan, René Müller, Hamid Pirahesh, Vijayshankar Raman, Richard Sidle, Adam J. Storm, Yuanyuan Tian, Pinar Tözün, Yingjun Wu:
WiSer: A Highly Available HTAP DBMS for IoT Applications. CoRR abs/1908.01908 (2019) - 2018
- [c19]Brian Hentschel, Peter J. Haas, Yuanyuan Tian:
Temporally-Biased Sampling for Online Model Management. EDBT 2018: 109-120 - [i1]Brian Hentschel, Peter J. Haas, Yuanyuan Tian:
Temporally-Biased Sampling for Online Model Management. CoRR abs/1801.09709 (2018) - 2017
- [b2]Da Yan, Yuanyuan Tian, James Cheng:
Systems for Big Graph Analytics. Springer Briefs in Computer Science, Springer 2017, ISBN 978-3-319-58216-0, pp. 1-92 - [j11]Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande:
Big Graph Analytics Platforms. Found. Trends Databases 7(1-2): 1-195 (2017) - [c18]Ronald Barber, Christian Garcia-Arellano, Ronen Grosman, René Müller, Vijayshankar Raman, Richard Sidle, Matt Spilchen, Adam J. Storm, Yuanyuan Tian, Pinar Tözün, Daniel C. Zilio, Matt Huras, Guy M. Lohman, Chandrasekaran Mohan, Fatma Özcan, Hamid Pirahesh:
Evolving Databases for New-Gen Big Data Applications. CIDR 2017 - [c17]Fatma Özcan, Yuanyuan Tian, Pinar Tözün:
Hybrid Transactional/Analytical Processing: A Survey. SIGMOD Conference 2017: 1771-1775 - 2016
- [j10]Yuanyuan Tian, Fatma Özcan, Tao Zou, Romulo Goncalves, Hamid Pirahesh:
Building a Hybrid Warehouse: Efficient Joins between Data Stored in HDFS and Enterprise Warehouse. ACM Trans. Database Syst. 41(4): 21:1-21:38 (2016) - [c16]Ronald Barber, Matt Huras, Guy M. Lohman, C. Mohan, René Müller, Fatma Özcan, Hamid Pirahesh, Vijayshankar Raman, Richard Sidle, Oleg Sidorkin, Adam J. Storm, Yuanyuan Tian, Pinar Tözün:
Wildfire: Concurrent Blazing Data Ingest and Analytics. SIGMOD Conference 2016: 2077-2080 - [c15]Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng:
Big Graph Analytics Systems. SIGMOD Conference 2016: 2241-2243 - 2015
- [c14]Yuanyuan Tian, Tao Zou, Fatma Ozcan, Romulo Goncalves, Hamid Pirahesh:
Joins for Hybrid Warehouses: Exploiting Massive Parallelism in Hadoop and Enterprise Data Warehouses. EDBT 2015: 373-384 - [c13]Nick R. Katsipoulakis, Yuanyuan Tian, Fatma Ozcan, Hamid Pirahesh, Berthold Reinwald:
A Generic Solution to Integrate SQL and Analytics for Big Data. EDBT 2015: 671-676 - [c12]Wenlei Xie, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Peter J. Haas:
Dynamic interaction graphs with probabilistic edge decay. ICDE 2015: 1143-1154 - [c11]Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss:
Resource Elasticity for Large-Scale Machine Learning. SIGMOD Conference 2015: 137-152 - 2014
- [j9]Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian:
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. IEEE Data Eng. Bull. 37(3): 52-62 (2014) - [j8]Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan:
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. 7(7): 553-564 (2014) - [c10]Xingjie Liu, Yuanyuan Tian, Qi He, Wang-Chien Lee, John McPherson:
Distributed Graph Summarization. CIKM 2014: 799-808 - [c9]Bin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Junghoo Cho:
Scalable topic-specific influence analysis on microblogs. WSDM 2014: 513-522 - 2013
- [j7]Andrey Balmin, Kevin S. Beyer, Vuk Ercegovac, John McPherson, Fatma Özcan, Hamid Pirahesh, Eugene J. Shekita, Yannis Sismanis, Sandeep Tata, Yuanyuan Tian:
A platform for eXtreme Analytics. IBM J. Res. Dev. 57(3/4): 4 (2013) - [j6]Yuanyuan Tian, Andrey Balmin, Severin Andreas Corsten, Shirish Tatikonda, John McPherson:
From "Think Like a Vertex" to "Think Like a Graph". Proc. VLDB Endow. 7(3): 193-204 (2013) - [c8]Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian:
Compiling machine learning algorithms with SystemML. SoCC 2013: 57:1 - 2012
- [c7]Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwald:
Scalable and Numerically Stable Descriptive Statistics in SystemML. ICDE 2012: 1351-1359 - [c6]Xingjie Liu, Qi He, Yuanyuan Tian, Wang-Chien Lee, John McPherson, Jiawei Han:
Event-based social networks: linking the online and offline social worlds. KDD 2012: 1032-1040 - 2011
- [j5]Mohamed Y. Eltabakh, Yuanyuan Tian, Fatma Özcan, Rainer Gemulla, Aljoscha Krettek, John McPherson:
CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop. Proc. VLDB Endow. 4(9): 575-585 (2011) - [c5]Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan:
SystemML: Declarative machine learning on MapReduce. ICDE 2011: 231-242 - 2010
- [c4]Ning Zhang, Yuanyuan Tian, Jignesh M. Patel:
Discovery-driven graph summarization. ICDE 2010: 880-891 - [c3]Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Jun Rao, Eugene J. Shekita, Yuanyuan Tian:
A comparison of join algorithms for log processing in MaPreduce. SIGMOD Conference 2010: 975-986 - [p1]Yuanyuan Tian, Jignesh M. Patel:
Interactive Graph Summarization. Link Mining 2010: 389-409
2000 – 2009
- 2009
- [j4]V. Glenn Tarcea, Terry E. Weymouth, Alexander S. Ade, Aaron V. Bookvich, Jing Gao, Vasudeva Mahavisno, Zach Wright, Adriane Chapman, Magesh Jayapandian, Arzucan Özgür, Yuanyuan Tian, James D. Cavalcoli, Barbara Mirel, Jignesh M. Patel, Dragomir R. Radev, Brian D. Athey, David J. States, H. V. Jagadish:
Michigan molecular interactions r2: from interacting proteins to pathways. Nucleic Acids Res. 37(Database-Issue): 642-646 (2009) - 2008
- [b1]Yuanyuan Tian:
Querying Graph Databases. University of Michigan, USA, 2008 - [j3]Yuanyuan Tian, Jignesh M. Patel, Viji Nair, Sebastian Martini, Matthias Kretzler:
Periscope/GQ: a graph querying toolkit. Proc. VLDB Endow. 1(2): 1404-1407 (2008) - [c2]Yuanyuan Tian, Jignesh M. Patel:
TALE: A Tool for Approximate Large Graph Matching. ICDE 2008: 963-972 - [c1]Yuanyuan Tian, Richard A. Hankins, Jignesh M. Patel:
Efficient aggregation for graph summarization. SIGMOD Conference 2008: 567-580 - 2007
- [j2]Yuanyuan Tian, Richard C. McEachin, Carlos Santos, David J. States, Jignesh M. Patel:
SAGA: a subgraph matching tool for biological graphs. Bioinform. 23(2): 232-239 (2007) - 2005
- [j1]Yuanyuan Tian, Sandeep Tata, Richard A. Hankins, Jignesh M. Patel:
Practical methods for constructing suffix trees. VLDB J. 14(3): 281-299 (2005)
Coauthor Index
Fatma Özcan
aka: Fatma Ozcan
aka: Fatma Ozcan
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