| FLIRT: A Fast Learned Index for Rolling Time frames. G Yang, L Liang, A Hadian, T Heinis EDBT, 234-246, 2023 | 12 | 2023 |
| Scalable adaptive optimizations for stream-based workflows in multi-HPC-clusters and cloud infrastructures L Liang, R Filgueira, Y Yan, T Heinis Future Generation Computer Systems 128, 102-116, 2022 | 5 | 2022 |
| SWIX: A Memory-efficient Sliding Window Learned Index L Liang, G Yang, A Hadian, LA Croquevielle, T Heinis Proceedings of the ACM on Management of Data 2 (1), 1-26, 2024 | 1 | 2024 |
| Optimization towards Efficiency and Stateful of dispel4py L Liang, H Zhang, G Yang, T Heinis, R Filgueira Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 1 | 2023 |
| Adaptive optimizations for stream-based workflows L Liang, R Filguiera, Y Yan 2020 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 33-40, 2020 | 1 | 2020 |
| A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach T Wang, L Liang, G Yang, T Heinis, E Yoneki arXiv preprint arXiv:2502.05001, 2025 | | 2025 |
| In-Network Approximate and E icient Spatiotemporal Range eries on Moving Objects G Yang, A Ghosh, L Liang, T Heinis | | 2024 |
| SOJA: A Memory-efficient Small-large Outer Join for MPI L Liang, G Yang, T Heinis, D Taniar EDBT, 523-528, 2021 | | 2021 |
Thomas HeinisImperial College London確認したメール アドレス: imperial.ac.uk