| 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 | 315 | 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 | 232 | 2020 |
| Sagedb: A learned database system T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding, A Kristo, G Leclerc, ... | 213 | 2021 |
| 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 | 146 | 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 | 71 | 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 | 60 | 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 | 52 | 2020 |
| 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 | 40 | 2021 |
| 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 | 40 | 2019 |
| Chessvision: Chess board and piece recognition J Ding Tech. rep, 2016 | 23 | 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 | 18 | 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 | 16 | 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 | 11 | 2022 |
| Self-organizing data containers S Madden, J Ding, T Kraska, S Sudhir, D Cohen, T Mattson, N Tatbul Memory 1 (2), 2022 | 11 | 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 | 5 | 2021 |
| 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 | 4 | 2023 |
| Cortex: Harnessing correlations to boost query performance V Nathan, J Ding, T Kraska, M Alizadeh arXiv preprint arXiv:2012.06683, 2020 | 4 | 2020 |
| Automated multidimensional data layouts in Amazon Redshift J Ding, M Abrams, S Bandyopadhyay, L Di Palma, Y Ji, D Pagano, ... | 2 | 2024 |
| 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 | 2 | 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 | | 2024 |
Tim KraskaMITVerified email at mit.edu
