| Adaptive execution of compiled queries A Kohn, V Leis, T Neumann 2018 IEEE 34th International Conference on Data Engineering (ICDE), 197-208, 2018 | 95 | 2018 |
| Self-tuning query scheduling for analytical workloads B Wagner, A Kohn, T Neumann Proceedings of the 2021 International Conference on Management of Data, 1879 …, 2021 | 32 | 2021 |
| Designing an open framework for query optimization and compilation M Jungmair, A Kohn, J Giceva Proceedings of the VLDB Endowment 15 (11), 2389-2401, 2022 | 27 | 2022 |
| Building advanced SQL analytics from low-level plan operators A Kohn, V Leis, T Neumann Proceedings of the 2021 International Conference on Management of Data, 1001 …, 2021 | 19 | 2021 |
| Making compiling query engines practical A Kohn, V Leis, T Neumann IEEE Transactions on Knowledge and Data Engineering 33 (2), 597-612, 2019 | 18 | 2019 |
| DuckDB-wasm: fast analytical processing for the web A Kohn, D Moritz, M Raasveldt, H Mühleisen, T Neumann Proceedings of the VLDB Endowment 15 (12), 3574-3577, 2022 | 9 | 2022 |
| Incremental Fusion: Unifying Compiled and Vectorized Query Execution B Wagner, A Kohn, P Boncz, V Leis ICDE, 2024 | 1 | 2024 |
| Efficient Analytical Workflows for Computational Database Systems A Kohn Technische Universität München, 2023 | | 2023 |
Thomas NeumannProfessor, Technische Universität München在 in.tum.de 的电子邮件经过验证
