Tin Vu

According to our database1, Tin Vu authored at least 15 papers between 2018 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatial Data Generators.
Proceedings of the Spatial Gems, Volume 1, 2022

2021
Incremental Partitioning for Efficient Spatial Data Analytics.
Proc. VLDB Endow., 2021

Spatial Data Generators.
CoRR, 2021

A Learned Query Optimizer for Spatial Join.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

A brief introduction to geospatial big data analytics with apache AsterixDB.
Proceedings of the SpatialAPI@SIGSPATIAL 2021: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, 2021

Beast: Scalable Exploratory Analytics on Spatio-temporal Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Using Deep Learning for Big Spatial Data Partitioning.
ACM Trans. Spatial Algorithms Syst., 2020

R*-Grove: Balanced Spatial Partitioning for Large-Scale Datasets.
Frontiers Big Data, 2020

DeepSampling: Selectivity Estimation with Predicted Error and Response Time.
CoRR, 2020

Noise Prediction for Geocoding Queries using Word Geospatial Embedding and Bidirectional LSTM.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

SpiderWeb: A Spatial Data Generator on the Web.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019
UCR-STAR: the UCR spatio-temporal active repository.
ACM SIGSPATIAL Special, 2019

Deep Query Optimization.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
R-Grove: growing a family of R-trees in the big-data forest.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018


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