Jialin Ding
Jialin Ding
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Citado por
ALEX: an updatable adaptive learned index
J Ding, UF Minhas, J Yu, C Wang, J Do, Y Li, H Zhang, B Chandramouli, ...
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
Learning multi-dimensional indexes
V Nathan, J Ding, M Alizadeh, T Kraska
Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020
Sagedb: A learned database system
T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding, A Kristo, G Leclerc, ...
Tsunami: A learned multi-dimensional index for correlated data and skewed workloads
J Ding, V Nathan, M Alizadeh, T Kraska
arXiv preprint arXiv:2006.13282, 2020
Moment-based quantile sketches for efficient high cardinality aggregation queries
E Gan, J Ding, KS Tai, V Sharan, P Bailis
arXiv preprint arXiv:1803.01969, 2018
APEX: a high-performance learned index on persistent memory
B Lu, J Ding, E Lo, UF Minhas, T Wang
arXiv preprint arXiv:2105.00683, 2021
The case for learned spatial indexes
V Pandey, A van Renen, A Kipf, I Sabek, J Ding, A Kemper
arXiv preprint arXiv:2008.10349, 2020
A machine-compiled database of genome-wide association studies
V Kuleshov, J Ding, C Vo, B Hancock, A Ratner, Y Li, C Ré, S Batzoglou, ...
Nature communications 10 (1), 3341, 2019
Instance-optimized data layouts for cloud analytics workloads
J Ding, UF Minhas, B Chandramouli, C Wang, Y Li, Y Li, D Kossmann, ...
Proceedings of the 2021 International Conference on Management of Data, 418-431, 2021
Chessvision: Chess board and piece recognition
J Ding
Tech. rep, 2016
Macrobase: Prioritizing attention in fast data
F Abuzaid, P Bailis, J Ding, E Gan, S Madden, D Narayanan, K Rong, ...
ACM Transactions on Database Systems (TODS) 43 (4), 1-45, 2018
LISA: towards learned DNA sequence search
D Ho, J Ding, S Misra, N Tatbul, V Nathan, V Md, T Kraska
arXiv preprint arXiv:1910.04728, 2019
Sagedb: An instance-optimized data analytics system
J Ding, R Marcus, A Kipf, V Nathan, A Nrusimha, K Vaidya, A van Renen, ...
Proceedings of the VLDB Endowment 15 (13), 2022
Self-organizing data containers
S Madden, J Ding, T Kraska, S Sudhir, D Cohen, T Mattson, N Tatbul
Memory 1 (2), 2022
Lisa: learned indexes for sequence analysis
D Ho, S Kalikar, S Misra, J Ding, V Md, N Tatbul, H Li, T Kraska
bioRxiv, 2020-2012, 2021
Cortex: Harnessing correlations to boost query performance
V Nathan, J Ding, T Kraska, M Alizadeh
arXiv preprint arXiv:2012.06683, 2020
Enhancing In-Memory Spatial Indexing with Learned Search
V Pandey, A Van Renen, ET Zacharatou, A Kipf, I Sabek, J Ding, V Markl, ...
arXiv preprint arXiv:2309.06354, 2023
Lisa: Learned indexes for DNA sequence analysis
D Ho, S Kalikar, S Misra, J Ding, V Md, N Tatbul, H Li, T Kraska
bioRxiv, 2020
Learning Bit Allocations for Z-Order Layouts in Analytic Data Systems.
J Gao, J Ding, S Sudhir, S Madden
aiDM@ SIGMOD, 5:1-5:9, 2024
Automated multidimensional data layouts in Amazon Redshift
J Ding, M Abrams, S Bandyopadhyay, L Di Palma, Y Ji, D Pagano, ...
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Artículos 1–20