Yuanyuan Tian

According to our database1, Yuanyuan Tian authored at least 47 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Db2 Event Store: A Purpose-Built IoT Database Engine.
Proc. VLDB Endow., 2020

Automatic Sleep Stage Classification With Single Channel EEG Signal Based on Two-Layer Stacked Ensemble Model.
IEEE Access, 2020

IBM Db2 Graph: Supporting Synergistic and Retrofittable Graph Queries Inside IBM Db2.
Proceedings of the 2020 International Conference on Management of Data, 2020

Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare.
Proceedings of the CIDR 2020, 2020

2019
Hybrid Systems Based on Traditional Database Extensions.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Wildfire: HTAP for Big Data.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

General Temporally Biased Sampling Schemes for Online Model Management.
ACM Trans. Database Syst., 2019

Online Model Management via Temporally Biased Sampling.
SIGMOD Rec., 2019

HERMIT in Action: Succinct Secondary Indexing Mechanism via Correlation Exploration.
Proc. VLDB Endow., 2019

Synergistic Graph and SQL Analytics Inside IBM Db2.
Proc. VLDB Endow., 2019

An Ontology-driven Cyberinfrastructure for Intelligent Spatiotemporal Question Answering and Open Knowledge Discovery.
ISPRS Int. J. Geo Inf., 2019

Temporally-Biased Sampling Schemes for Online Model Management.
CoRR, 2019

Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations.
Proceedings of the 2019 International Conference on Management of Data, 2019

Umzi: Unified Multi-Zone Indexing for Large-Scale HTAP.
Proceedings of the Advances in Database Technology, 2019

WiSer: A Highly Available HTAP DBMS for IoT Applications.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

2018
Temporally-Biased Sampling for Online Model Management.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
Systems for Big Graph Analytics
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-58216-0, 2017

Big Graph Analytics Platforms.
Found. Trends Databases, 2017

Hybrid Transactional/Analytical Processing: A Survey.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017


2016
Building a Hybrid Warehouse: Efficient Joins between Data Stored in HDFS and Enterprise Warehouse.
ACM Trans. Database Syst., 2016

Big Graph Analytics Systems.
Proceedings of the 2016 International Conference on Management of Data, 2016

Wildfire: Concurrent Blazing Data Ingest and Analytics.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Resource Elasticity for Large-Scale Machine Learning.
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.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Joins for Hybrid Warehouses: Exploiting Massive Parallelism in Hadoop and Enterprise Data Warehouses.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

A Generic Solution to Integrate SQL and Analytics for Big Data.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

2014
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.
Proc. VLDB Endow., 2014

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.
IEEE Data Eng. Bull., 2014

Scalable topic-specific influence analysis on microblogs.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Distributed Graph Summarization.
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".
Proc. VLDB Endow., 2013

A platform for eXtreme Analytics.
IBM J. Res. Dev., 2013

Compiling machine learning algorithms with SystemML.
Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

2012
Event-based social networks: linking the online and offline social worlds.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Scalable and Numerically Stable Descriptive Statistics in SystemML.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop.
Proc. VLDB Endow., 2011

SystemML: Declarative machine learning on MapReduce.
Proceedings of the 27th International Conference on Data Engineering, 2011

2010
A comparison of join algorithms for log processing in MaPreduce.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Discovery-driven graph summarization.
Proceedings of the 26th International Conference on Data Engineering, 2010

Interactive Graph Summarization.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Michigan molecular interactions r2: from interacting proteins to pathways.
Nucleic Acids Res., 2009

2008
Periscope/GQ: a graph querying toolkit.
Proc. VLDB Endow., 2008

Efficient aggregation for graph summarization.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

TALE: A Tool for Approximate Large Graph Matching.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
SAGA: a subgraph matching tool for biological graphs.
Bioinform., 2007

2005
Practical methods for constructing suffix trees.
VLDB J., 2005


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