Yuanyuan Tian

71 papers A* 6A 6B 4C 1Journal 38Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A conf
I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server.
CIDR
Hangdong Zhao, Yuanyuan Tian, Rana Alotaibi, Bailu Ding, Nicolas Bruno, Jesús Camacho-Rodríguez, Vassilis Papadimos, Ernesto Cervantes Juárez, César A. Galindo-Legaria, Carlo Curino
2026 J jnl
Nexus: Inferring Join Graphs from Metadata Alone via Iterative Low-Rank Matrix Completion.
CoRR
Tianji Cong, Yuanyuan Tian, Andreas Müller, Rathijit Sen, Yeye He, Fotis Psallidas, Shaleen Deep, H. V. Jagadish
2026 J jnl
xBound: Join Size Lower Bounds.
CoRR
Mihail Stoian, Tiemo Bang, Hangdong Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian, Andreas Kipf
2025 A conf
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Platform: Can One QO Rule Them All?
CIDR
Yuanyuan Tian, Jesús Camacho-Rodríguez, Carlo Curino, César A. Galindo-Legaria, Ashit Gosalia, Brian Kroth, Sergiy Matusevych, Nicolas Bruno, Ashvin Agrawal, Stefan Grafberger, Beysim Sezgin, Milan Potocnik, Mahesh Behera, Milind Joshi, Xiaoyu Li
2024 J jnl
A Roadmap to Graph Analytics.
SIGMOD Rec.
Angela Bonifati, M. Tamer Özsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang
2024 J jnl
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report.
SIGMOD Rec.
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
2024 J jnl
GEqO: ML-Accelerated Semantic Equivalence Detection.
CoRR
Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
2024 J jnl
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud.
Proc. VLDB Endow.
Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian
2024 J jnl
Sibyl: Forecasting Time-Evolving Query Workloads.
CoRR
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
2024 J jnl
Sibyl: Forecasting Time-Evolving Query Workloads.
Proc. ACM Manag. Data
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
2024 — conf
The Future of Graph Analytics.
SIGMOD Conference Companion
Angela Bonifati, M. Tamer Özsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang
2024 J jnl
Towards Building Autonomous Data Services on Azure.
CoRR
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
2024 J jnl
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?
CoRR
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
2023 J jnl
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.
SIGMOD Rec.
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
2023 J jnl
Exact PPS sampling with bounded sample size.
Inf. Process. Lett.
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
2023 J jnl
GEqO: ML-Accelerated Semantic Equivalence Detection.
Proc. ACM Manag. Data
Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
2023 C conf
Microarchitectural Analysis of Graph BI Queries on RDBMS.
DaMoN
Rathijit Sen, Yuanyuan Tian
2023 J jnl
Optimizing Data Pipelines for Machine Learning in Feature Stores.
Proc. VLDB Endow.
Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez
2023 — conf
Towards Building Autonomous Data Services on Azure.
SIGMOD Conference Companion
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
2022 J jnl
Diversity and Inclusion Activities in Database Conferences: A 2021 Report.
SIGMOD Rec.
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
2022 J jnl
Reminiscences on Influential Papers.
SIGMOD Rec.
Fatma Özcan, Yuanyuan Tian
2022 J jnl
The World of Graph Databases from An Industry Perspective.
CoRR
Yuanyuan Tian
2022 J jnl
The World of Graph Databases from An Industry Perspective.
SIGMOD Rec.
Yuanyuan Tian
2020 J jnl
Db2 Event Store: A Purpose-Built IoT Database Engine.
Proc. VLDB Endow.
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
2020 A conf
Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare.
CIDR
Abdul Quamar, Jannik Straube, Yuanyuan Tian
2020 — conf
IBM Db2 Graph: Supporting Synergistic and Retrofittable Graph Queries Inside IBM Db2.
SIGMOD Conference
Yuanyuan Tian, En Liang Xu, Wei Zhao, Mir Hamid Pirahesh, Suijun Tong, Wen Sun, Thomas Kolanko, Md. Shahidul Haque Apu, Huijuan Peng
2019 — conf
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations.
SIGMOD Conference
Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber
2019 J jnl
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations.
CoRR
Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber
2019 J jnl
General Temporally Biased Sampling Schemes for Online Model Management.
ACM Trans. Database Syst.
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
2019 J jnl
HERMIT in Action: Succinct Secondary Indexing Mechanism via Correlation Exploration.
Proc. VLDB Endow.
Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber
2019 J jnl
Online Model Management via Temporally Biased Sampling.
SIGMOD Rec.
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
2019 J jnl
Synergistic Graph and SQL Analytics Inside IBM Db2.
Proc. VLDB Endow.
Yuanyuan Tian, Suijun Tong, Mir Hamid Pirahesh, Wen Sun, En Liang Xu, Wei Zhao
2019 J jnl
Temporally-Biased Sampling Schemes for Online Model Management.
CoRR
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
2019 B conf
Umzi: Unified Multi-Zone Indexing for Large-Scale HTAP.
EDBT
Chen Luo, Pinar Tözün, Yuanyuan Tian, Ronald Barber, Vijayshankar Raman, Richard Sidle
2019 — conf
WiSer: A Highly Available HTAP DBMS for IoT Applications.
IEEE BigData
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
2019 J jnl
WiSer: A Highly Available HTAP DBMS for IoT Applications.
CoRR
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
2019 — ch.
Wildfire: HTAP for Big Data.
Encyclopedia of Big Data Technologies
Ronald Barber, Vijayshankar Raman, Richard Sidle, Yuanyuan Tian, Pinar Tözün
2018 B conf
Temporally-Biased Sampling for Online Model Management.
EDBT
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
2018 J jnl
Temporally-Biased Sampling for Online Model Management.
CoRR
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
2017 J jnl
Big Graph Analytics Platforms.
Found. Trends Databases
Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande
2017 A conf
Evolving Databases for New-Gen Big Data Applications.
CIDR
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
2017 — conf
Hybrid Transactional/Analytical Processing: A Survey.
SIGMOD Conference
Fatma Özcan, Yuanyuan Tian, Pinar Tözün
2017 — book
Systems for Big Graph Analytics
Da Yan, Yuanyuan Tian, James Cheng
2016 — conf
Big Graph Analytics Systems.
SIGMOD Conference
Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng
2016 J jnl
Building a Hybrid Warehouse: Efficient Joins between Data Stored in HDFS and Enterprise Warehouse.
ACM Trans. Database Syst.
Yuanyuan Tian, Fatma Özcan, Tao Zou, Romulo Goncalves, Hamid Pirahesh
2016 — conf
Wildfire: Concurrent Blazing Data Ingest and Analytics.
SIGMOD Conference
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
2015 B conf
A Generic Solution to Integrate SQL and Analytics for Big Data.
EDBT
Nick R. Katsipoulakis, Yuanyuan Tian, Fatma Ozcan, Hamid Pirahesh, Berthold Reinwald
2015 A* conf
Dynamic interaction graphs with probabilistic edge decay.
ICDE
Wenlei Xie, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Peter J. Haas
2015 B conf
Joins for Hybrid Warehouses: Exploiting Massive Parallelism in Hadoop and Enterprise Data Warehouses.
EDBT
Yuanyuan Tian, Tao Zou, Fatma Ozcan, Romulo Goncalves, Hamid Pirahesh
2015 — conf
Resource Elasticity for Large-Scale Machine Learning.
SIGMOD Conference
Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss
2014 A conf
Distributed Graph Summarization.
CIKM
Xingjie Liu, Yuanyuan Tian, Qi He, Wang-Chien Lee, John McPherson
2014 J jnl
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.
Proc. VLDB Endow.
Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
2014 A conf
Scalable topic-specific influence analysis on microblogs.
WSDM
Bin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Junghoo Cho
2014 J jnl
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.
IEEE Data Eng. Bull.
Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2013 J jnl
A platform for eXtreme Analytics.
IBM J. Res. Dev.
Andrey Balmin, Kevin S. Beyer, Vuk Ercegovac, John McPherson, Fatma Özcan, Hamid Pirahesh, Eugene J. Shekita, Yannis Sismanis, Sandeep Tata, Yuanyuan Tian
2013 — conf
Compiling machine learning algorithms with SystemML.
SoCC
Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2013 J jnl
From "Think Like a Vertex" to "Think Like a Graph".
Proc. VLDB Endow.
Yuanyuan Tian, Andrey Balmin, Severin Andreas Corsten, Shirish Tatikonda, John McPherson
2012 A* conf
Event-based social networks: linking the online and offline social worlds.
KDD
Xingjie Liu, Qi He, Yuanyuan Tian, Wang-Chien Lee, John McPherson, Jiawei Han
2012 A* conf
Scalable and Numerically Stable Descriptive Statistics in SystemML.
ICDE
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwald
2011 J jnl
CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop.
Proc. VLDB Endow.
Mohamed Y. Eltabakh, Yuanyuan Tian, Fatma Özcan, Rainer Gemulla, Aljoscha Krettek, John McPherson
2011 A* conf
SystemML: Declarative machine learning on MapReduce.
ICDE
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan
2010 — conf
A comparison of join algorithms for log processing in MaPreduce.
SIGMOD Conference
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Jun Rao, Eugene J. Shekita, Yuanyuan Tian
2010 A* conf
Discovery-driven graph summarization.
ICDE
Ning Zhang, Yuanyuan Tian, Jignesh M. Patel
2010 — ch.
Interactive Graph Summarization.
Link Mining
Yuanyuan Tian, Jignesh M. Patel
2009 J jnl
Michigan molecular interactions r2: from interacting proteins to pathways.
Nucleic Acids Res.
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
2008 — conf
Efficient aggregation for graph summarization.
SIGMOD Conference
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Patel
2008 J jnl
Periscope/GQ: a graph querying toolkit.
Proc. VLDB Endow.
Yuanyuan Tian, Jignesh M. Patel, Viji Nair, Sebastian Martini, Matthias Kretzler
2008 — —
Querying Graph Databases.
Yuanyuan Tian
2008 A* conf
TALE: A Tool for Approximate Large Graph Matching.
ICDE
Yuanyuan Tian, Jignesh M. Patel
2007 J jnl
SAGA: a subgraph matching tool for biological graphs.
Bioinform.
Yuanyuan Tian, Richard C. McEachin, Carlos Santos, David J. States, Jignesh M. Patel
2005 J jnl
Practical methods for constructing suffix trees.
VLDB J.
Yuanyuan Tian, Sandeep Tata, Richard A. Hankins, Jignesh M. Patel