| DITA: Distributed In-Memory Trajectory Analytics Z Shang, G Li, Z Bao Proceedings of the 2018 International Conference on Management of Data, 725-740, 2018 | 154 | 2018 |
| Democratizing data science through interactive curation of ml pipelines Z Shang, E Zgraggen, B Buratti, F Kossmann, P Eichmann, Y Chung, ... Proceedings of the 2019 international conference on management of data, 1171 …, 2019 | 120 | 2019 |
| K-join: Knowledge-aware similarity join Z Shang, Y Liu, G Li, J Feng IEEE Transactions on Knowledge and Data Engineering 28 (12), 3293-3308, 2016 | 42 | 2016 |
| How I learned to stop worrying and love re-optimization M Perron, Z Shang, T Kraska, M Stonebraker 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1758-1761, 2019 | 36 | 2019 |
| Dima: A distributed in-memory similarity-based query processing system J Sun, Z Shang, G Li, D Deng, Z Bao Proceedings of the VLDB Endowment 10 (12), 1925-1928, 2017 | 24 | 2017 |
| Towards interactive curation & automatic tuning of ml pipelines C Binnig, B Buratti, Y Chung, C Cousins, T Kraska, Z Shang, E Upfal, ... Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018 | 21 | 2018 |
| Balance-aware distributed string similarity-based query processing system J Sun, Z Shang, G Li, D Deng, Z Bao Proceedings of the VLDB Endowment 12 (9), 961-974, 2019 | 18 | 2019 |
| Seed: Simple, efficient, and effective data management via large language models Z CHen, L Cao, S Madden, J Fan, N Tang, Z Gu, Z Shang, C Liu, ... arXiv preprint arXiv:2310.00749, 2023 | 11 | 2023 |
| Davos: a system for interactive data-driven decision making Z Shang, E Zgraggen, B Buratti, P Eichmann, N Karimeddiny, C Meyer, ... Proceedings of the VLDB Endowment 14 (12), 2893-2905, 2021 | 11 | 2021 |
| Video monitoring method, video monitoring system and computer program product G Yu, C Li, Z Shang US Patent 9,792,505, 2017 | 8 | 2017 |
| Video monitoring method, video monitoring system and computer program product G Yu, C Li, Z Shang, HE Qizheng US Patent 9,875,405, 2018 | 7 | 2018 |
| Alpine meadow: A system for interactive automl Z Shang, E Zgraggen, T Kraska 33rd Conf. on Neural Information Processing Systems (NeurIPS 2019, Vancouver …, 2019 | 6 | 2019 |
| Towards interactive data exploration C Binnig, F Basık, B Buratti, U Cetintemel, Y Chung, A Crotty, C Cousins, ... Real-Time Business Intelligence and Analytics: International Workshops …, 2019 | 6 | 2019 |
| SEED: Domain-Specific Data Curation With Large Language Models Z Chen, L Cao, S Madden, T Kraska, Z Shang, J Fan, N Tang, Z Gu, C Liu, ... arXiv e-prints, arXiv: 2310.00749, 2023 | 5 | 2023 |
| Should Drag-and-Drop Analytics Become Part of the Data Scientist Toolkit? BJ Buratti, P Eichmann, Z Shang, E Zgraggen, J Blanc, N Bowditch, ... MIT CSAIL, 2023 | 1 | 2023 |
| Niseko: a Large-Scale Meta-Learning Dataset Z Shang, E Zgraggen, P Eichmann, T Kraska epsilon 1, 4, 2019 | 1 | 2019 |
| Visual data computing platform using a progressive computation engine Z Shang, E Zgraggen, T Kraska, B Buratti, P Eichman, N Karimeddiny, ... US Patent App. 18/197,598, 2023 | | 2023 |
| Visual data computing platform using a progressive computation engine Z Shang, E Zgraggen, T Kraska, B Buratti, P Eichman, N Karimeddiny, ... US Patent 11,651,007, 2023 | | 2023 |
Tim KraskaMITVerified email at mit.edu
