Yuanyuan Tian

According to our database, Yuanyuan Tian authored at least 60 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Roadmap to Graph Analytics.

Angela Bonifati, M. Tamer Özsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang

SIGMOD Rec., December, 2024

MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud.

Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian

Proc. VLDB Endow., August, 2024

Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report.

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

SIGMOD Rec., June, 2024

Sibyl: Forecasting Time-Evolving Query Workloads.

Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian

Proc. ACM Manag. Data, February, 2024

Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?

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

CoRR, 2024

The Future of Graph Analytics.

Angela Bonifati, M. Tamer Özsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

GEqO: ML-Accelerated Semantic Equivalence Detection.

Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian

Proc. ACM Manag. Data, December, 2023

Exact PPS sampling with bounded sample size.

Brian Hentschel, Peter J. Haas, Yuanyuan Tian

Inf. Process. Lett., August, 2023

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.

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

SIGMOD Rec., June, 2023

Optimizing Data Pipelines for Machine Learning in Feature Stores.

Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez

Proc. VLDB Endow., 2023

Towards Building Autonomous Data Services on Azure.

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

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Microarchitectural Analysis of Graph BI Queries on RDBMS.

Rathijit Sen, Yuanyuan Tian

Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

2022

The World of Graph Databases from An Industry Perspective.

Yuanyuan Tian

SIGMOD Rec., December, 2022

Reminiscences on Influential Papers.

Fatma Özcan, Yuanyuan Tian

SIGMOD Rec., 2022

Diversity and Inclusion Activities in Database Conferences: A 2021 Report.

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

SIGMOD Rec., 2022

2020

Db2 Event Store: A Purpose-Built IoT Database Engine.

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

Proc. VLDB Endow., 2020

IBM Db2 Graph: Supporting Synergistic and Retrofittable Graph Queries Inside IBM Db2.

Yuanyuan Tian, En Liang Xu, Wei Zhao, Mir Hamid Pirahesh, Suijun Tong, Wen Sun, Thomas Kolanko, Md. Shahidul Haque Apu, Huijuan Peng

Proceedings of the 2020 International Conference on Management of Data, 2020

Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare.

Abdul Quamar, Jannik Straube, Yuanyuan Tian

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Wildfire: HTAP for Big Data.

Ronald Barber, Vijayshankar Raman, Richard Sidle, Yuanyuan Tian, Pinar Tözün

Proceedings of the Encyclopedia of Big Data Technologies., 2019

General Temporally Biased Sampling Schemes for Online Model Management.

Brian Hentschel, Peter J. Haas, Yuanyuan Tian

ACM Trans. Database Syst., 2019

Online Model Management via Temporally Biased Sampling.

Brian Hentschel, Peter J. Haas, Yuanyuan Tian

SIGMOD Rec., 2019

HERMIT in Action: Succinct Secondary Indexing Mechanism via Correlation Exploration.

Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber

Proc. VLDB Endow., 2019

Synergistic Graph and SQL Analytics Inside IBM Db2.

Yuanyuan Tian, Suijun Tong, Mir Hamid Pirahesh, Wen Sun, En Liang Xu, Wei Zhao

Proc. VLDB Endow., 2019

Temporally-Biased Sampling Schemes for Online Model Management.

Brian Hentschel, Peter J. Haas, Yuanyuan Tian

CoRR, 2019

Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations.

Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber

Proceedings of the 2019 International Conference on Management of Data, 2019

Umzi: Unified Multi-Zone Indexing for Large-Scale HTAP.

Chen Luo, Pinar Tözün, Yuanyuan Tian, Ronald Barber, Vijayshankar Raman, Richard Sidle

Proceedings of the Advances in Database Technology, 2019

WiSer: A Highly Available HTAP DBMS for IoT Applications.

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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Temporally-Biased Sampling for Online Model Management.

Brian Hentschel, Peter J. Haas, Yuanyuan Tian

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

Systems for Big Graph Analytics

Da Yan, Yuanyuan Tian, James Cheng

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-58216-0, 2017

Big Graph Analytics Platforms.

Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande

Found. Trends Databases, 2017

Hybrid Transactional/Analytical Processing: A Survey.

Fatma Özcan, Yuanyuan Tian, Pinar Tözün

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Evolving Databases for New-Gen Big Data Applications.

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

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

Building a Hybrid Warehouse: Efficient Joins between Data Stored in HDFS and Enterprise Warehouse.

Yuanyuan Tian, Fatma Özcan, Tao Zou, Romulo Goncalves, Hamid Pirahesh

ACM Trans. Database Syst., 2016

Big Graph Analytics Systems.

Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng

Proceedings of the 2016 International Conference on Management of Data, 2016

Wildfire: Concurrent Blazing Data Ingest and Analytics.

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

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Resource Elasticity for Large-Scale Machine Learning.

Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Dynamic interaction graphs with probabilistic edge decay.

Wenlei Xie, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Peter J. Haas

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Joins for Hybrid Warehouses: Exploiting Massive Parallelism in Hadoop and Enterprise Data Warehouses.

Yuanyuan Tian, Tao Zou, Fatma Ozcan, Romulo Goncalves, Hamid Pirahesh

Proceedings of the 18th International Conference on Extending Database Technology, 2015

A Generic Solution to Integrate SQL and Analytics for Big Data.

Nick R. Katsipoulakis, Yuanyuan Tian, Fatma Ozcan, Hamid Pirahesh, Berthold Reinwald

Proceedings of the 18th International Conference on Extending Database Technology, 2015

2014

Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan

Proc. VLDB Endow., 2014

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.

Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

IEEE Data Eng. Bull., 2014

Scalable topic-specific influence analysis on microblogs.

Bin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Junghoo Cho

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Distributed Graph Summarization.

Xingjie Liu, Yuanyuan Tian, Qi He, Wang-Chien Lee, John McPherson

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

From "Think Like a Vertex" to "Think Like a Graph".

Yuanyuan Tian, Andrey Balmin, Severin Andreas Corsten, Shirish Tatikonda, John McPherson

Proc. VLDB Endow., 2013

A platform for eXtreme Analytics.

Andrey Balmin, Kevin S. Beyer, Vuk Ercegovac, John McPherson, Fatma Özcan, Hamid Pirahesh, Eugene J. Shekita, Yannis Sismanis, Sandeep Tata, Yuanyuan Tian

IBM J. Res. Dev., 2013

Compiling machine learning algorithms with SystemML.

Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

2012

Event-based social networks: linking the online and offline social worlds.

Xingjie Liu, Qi He, Yuanyuan Tian, Wang-Chien Lee, John McPherson, Jiawei Han

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Scalable and Numerically Stable Descriptive Statistics in SystemML.

Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwald

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop.

Mohamed Y. Eltabakh, Yuanyuan Tian, Fatma Özcan, Rainer Gemulla, Aljoscha Krettek, John McPherson

Proc. VLDB Endow., 2011

SystemML: Declarative machine learning on MapReduce.

Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan

Proceedings of the 27th International Conference on Data Engineering, 2011

2010

A comparison of join algorithms for log processing in MaPreduce.

Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Jun Rao, Eugene J. Shekita, Yuanyuan Tian

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Discovery-driven graph summarization.

Ning Zhang, Yuanyuan Tian, Jignesh M. Patel

Proceedings of the 26th International Conference on Data Engineering, 2010

Interactive Graph Summarization.

Yuanyuan Tian, Jignesh M. Patel

Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009

Michigan molecular interactions r2: from interacting proteins to pathways.

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

Nucleic Acids Res., 2009

2008

Querying Graph Databases.

Yuanyuan Tian

PhD thesis, 2008

Periscope/GQ: a graph querying toolkit.

Yuanyuan Tian, Jignesh M. Patel, Viji Nair, Sebastian Martini, Matthias Kretzler

Proc. VLDB Endow., 2008

Efficient aggregation for graph summarization.

Yuanyuan Tian, Richard A. Hankins, Jignesh M. Patel

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

TALE: A Tool for Approximate Large Graph Matching.

Yuanyuan Tian, Jignesh M. Patel

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

SAGA: a subgraph matching tool for biological graphs.

Yuanyuan Tian, Richard C. McEachin, Carlos Santos, David J. States, Jignesh M. Patel

Bioinform., 2007

2005

Practical methods for constructing suffix trees.

Yuanyuan Tian, Sandeep Tata, Richard A. Hankins, Jignesh M. Patel

VLDB J., 2005