Chao Tian

Orcid: 0000-0002-9670-367X

Affiliations:
  • Alibaba Group, Hangzhou, China
  • University of Edinburgh, UK (PhD 2017)


According to our database1, Chao Tian authored at least 23 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Capturing More Associations by Referencing External Graphs.
Proc. VLDB Endow., February, 2024

2023
Enriching Recommendation Models with Logic Conditions.
Proc. ACM Manag. Data, September, 2023

Making It Tractable to Catch Duplicates and Conflicts in Graphs.
Proc. ACM Manag. Data, 2023

Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Incremental Graph Computations: Doable and Undoable.
ACM Trans. Database Syst., 2022

Towards Event Prediction in Temporal Graphs.
Proc. VLDB Endow., 2022

Discovering Association Rules from Big Graphs.
Proc. VLDB Endow., 2022

2021
Automating Incremental Graph Processing with Flexible Memoization.
Proc. VLDB Endow., 2021

Parallel Discrepancy Detection and Incremental Detection.
Proc. VLDB Endow., 2021

GraphScope: A Unified Engine For Big Graph Processing.
Proc. VLDB Endow., 2021

Incrementalizing Graph Algorithms.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

FlexGraph: a flexible and efficient distributed framework for GNN training.
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

2020
Catching Numeric Inconsistencies in Graphs.
ACM Trans. Database Syst., 2020

Incrementalization of Graph Partitioning Algorithms.
Proc. VLDB Endow., 2020

Capturing Associations in Graphs.
Proc. VLDB Endow., 2020

Unifying logic rules and machine learning for entity enhancing.
Sci. China Inf. Sci., 2020

Extending Graph Patterns with Conditions.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Deducing Certain Fixes to Graphs.
Proc. VLDB Endow., 2019

2018
From Think Parallel to Think Sequential.
SIGMOD Rec., 2018

2017
Towards effective analysis of big graphs: from scalability to quality.
PhD thesis, 2017

Parallelizing Sequential Graph Computations.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Incremental Graph Computations: Doable and Undoable.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2015
Keys for Graphs.
Proc. VLDB Endow., 2015


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