Tin Vu

According to our database, Tin Vu authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

A learning-based framework for spatial join processing: estimation, optimization and tuning.

Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy

VLDB J., July, 2024

2022

Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models.

Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatial Data Generators.

Tin Vu, Sara Migliorini, Ahmed Eldawy, Alberto Belussi

Proceedings of the Spatial Gems, Volume 1, 2022

2021

Incremental Partitioning for Efficient Spatial Data Analytics.

Tin Vu, Ahmed Eldawy, Vagelis Hristidis, Vassilis J. Tsotras

Proc. VLDB Endow., 2021

Spatial Data Generators.

Tin Vu, Sara Migliorini, Ahmed Eldawy, Alberto Belussi

CoRR, 2021

A Learned Query Optimizer for Spatial Join.

Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy

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.

Akil Sevim, Mehnaz Tabassum Mahin, Tin Vu, Ian Maxon, Ahmed Eldawy, Michael J. Carey, Vassilis J. Tsotras

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.

Ahmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim, A. B. Siddique, Samriddhi Singla, Ganesh Sivaram, Tin Vu, Yaming Zhang

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.

Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy

ACM Trans. Spatial Algorithms Syst., 2020

R*-Grove: Balanced Spatial Partitioning for Large-Scale Datasets.

Tin Vu, Ahmed Eldawy

Frontiers Big Data, 2020

DeepSampling: Selectivity Estimation with Predicted Error and Response Time.

Tin Vu, Ahmed Eldawy

CoRR, 2020

Noise Prediction for Geocoding Queries using Word Geospatial Embedding and Bidirectional LSTM.

Tin Vu, Solluna Liu, Renzhong Wang, Kumarswamy Valegerepura

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

SpiderWeb: A Spatial Data Generator on the Web.

Puloma Katiyar, Tin Vu, Ahmed Eldawy, Sara Migliorini, Alberto Belussi

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019

UCR-STAR: the UCR spatio-temporal active repository.

Saheli Ghosh, Tin Vu, Mehrad Amin Eskandari, Ahmed Eldawy

ACM SIGSPATIAL Special, 2019

Deep Query Optimization.

Tin Vu

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.

Tin Vu, Ahmed Eldawy

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018