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2020 – today
- 2024
[j5]Tin Vu
, Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
A learning-based framework for spatial join processing: estimation, optimization and tuning. VLDB J. 33(4): 1155-1177 (2024)- 2022
- [c8]Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models. CIKM 2022: 4550-4554 - [p1]Tin Vu, Sara Migliorini, Ahmed Eldawy, Alberto Belussi:
Spatial Data Generators. Spatial Gems (1) (1) 2022: 13-24 - 2021
- [j4]Tin Vu, Ahmed Eldawy, Vagelis Hristidis, Vassilis J. Tsotras:
Incremental Partitioning for Efficient Spatial Data Analytics. Proc. VLDB Endow. 15(3): 713-726 (2021) - [c7]Ahmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim, A. B. Siddique, Samriddhi Singla, Ganesh Sivaram, Tin Vu, Yaming Zhang:
Beast: Scalable Exploratory Analytics on Spatio-temporal Data. CIKM 2021: 3796-3807 - [c6]Akil Sevim, Mehnaz Tabassum Mahin, Tin Vu, Ian Maxon, Ahmed Eldawy, Michael J. Carey, Vassilis J. Tsotras:
A brief introduction to geospatial big data analytics with apache AsterixDB. SpatialAPI@SIGSPATIAL 2021: 4:1-4:2 - [c5]Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
A Learned Query Optimizer for Spatial Join. SIGSPATIAL/GIS 2021: 458-467 - [i3]Tin Vu, Sara Migliorini, Ahmed Eldawy, Alberto Belussi:
Spatial Data Generators. CoRR abs/2107.08297 (2021) - 2020
- [j3]Tin Vu, Ahmed Eldawy:
R*-Grove: Balanced Spatial Partitioning for Large-Scale Datasets. Frontiers Big Data 3: 28 (2020) - [j2]Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
Using Deep Learning for Big Spatial Data Partitioning. ACM Trans. Spatial Algorithms Syst. 7(1): 3:1-3:37 (2020) - [c4]Tin Vu, Solluna Liu, Renzhong Wang, Kumarswamy Valegerepura:
Noise Prediction for Geocoding Queries using Word Geospatial Embedding and Bidirectional LSTM. SIGSPATIAL/GIS 2020: 127-130 - [c3]Puloma Katiyar, Tin Vu, Ahmed Eldawy, Sara Migliorini, Alberto Belussi:
SpiderWeb: A Spatial Data Generator on the Web. SIGSPATIAL/GIS 2020: 465-468 - [i2]Tin Vu, Ahmed Eldawy:
R*-Grove: Balanced Spatial Partitioning for Large-scale Datasets. CoRR abs/2007.11651 (2020) - [i1]Tin Vu, Ahmed Eldawy:
DeepSampling: Selectivity Estimation with Predicted Error and Response Time. CoRR abs/2008.06831 (2020)
2010 – 2019
- 2019
- [j1]Saheli Ghosh, Tin Vu, Mehrad Amin Eskandari, Ahmed Eldawy:
UCR-STAR: the UCR spatio-temporal active repository. ACM SIGSPATIAL Special 11(2): 34-40 (2019) - [c2]Tin Vu:
Deep Query Optimization. SIGMOD Conference 2019: 1856-1858 - 2018
- [c1]Tin Vu, Ahmed Eldawy:
R-Grove: growing a family of R-trees in the big-data forest. SIGSPATIAL/GIS 2018: 532-535
Coauthor Index
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