| Sagedb: A learned database system T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding, A Kristo, G Leclerc, ... | 145 | 2021 |
| 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 | 125 | 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 | 94 | 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 | 43 | 2018 |
| 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 | 40 | 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), 1-8, 2019 | 23 | 2019 |
| 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 | 20 | 2020 |
| Chessvision: Chess board and piece recognition J Ding Technical Report. Stanford University. URL: https://web. stanford. edu/class …, 2016 | 11 | 2016 |
| 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 | 9 | 2021 |
| 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 | 9 | 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 | 6 | 2019 |
| 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 | 5 | 2021 |
| 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 |
| Lisa: learned indexes for sequence analysis D Ho, S Kalikar, S Misra, J Ding, V Md, N Tatbul, H Li, T Kraska bioRxiv, 2020.12. 22.423964, 2021 | 1 | 2021 |
| Cortex: Harnessing Correlations to Boost Query Performance V Nathan, J Ding, T Kraska, M Alizadeh arXiv preprint arXiv:2012.06683, 2020 | 1 | 2020 |
| Learning multi-dimensional indexes J Ding Massachusetts Institute of Technology, 2020 | | 2020 |
| Scaling Learned Indexes on Persistent Memory B Lu, J Ding, E Lo, UF Minhas, T Wang | | |
| Self-Organizing Data Containers S Madden, J Ding, T Kraska, S Sudhir, D Cohen, T Mattson, N Tatbul Memory 1, 2, 0 | | |
| Efficient Mergeable Quantile Sketches using Moments E Gan, J Ding, P Bailis | | |
Mohammad AlizadehAssociate Professor of Computer Science, MITVerified email at csail.mit.edu
