| LeHDC: Learning-based hyperdimensional computing classifier S Duan, Y Liu, S Ren, X Xu Proceedings of the 59th ACM/IEEE Design Automation Conference, 1111-1116, 2022 | 13 | 2022 |
| Enabling SQL-based training data debugging for federated learning Y Liu, W Wu, L Flokas, J Wang, E Wu VLDB 2022, 2021 | 11 | 2021 |
| Model trees for identifying exceptional players in the NHL and NBA drafts Y Liu, O Schulte, C Li Machine Learning and Data Mining for Sports Analytics: 5th International …, 2019 | 9 | 2019 |
| Complaint-driven training data debugging at interactive speeds L Flokas, W Wu, Y Liu, J Wang, N Verma, E Wu Proceedings of the 2022 International Conference on Management of Data, 369-383, 2022 | 5 | 2022 |
| Model Trees for Identifying Exceptional Players in the NHL Draft O Schulte, Y Liu, C Li arXiv preprint arXiv:1802.08765, 2018 | 4 | 2018 |
| MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption Y Liu, S Duan, X Xu, S Ren arXiv preprint arXiv:2302.12347, 2023 | 2 | 2023 |
| Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning Y Liu, W Zhu, S Ren NeurIPS 2022, 2022 | 1 | 2022 |
| Web Connector: A Unified API Wrapper to Simplify Web Data Collection W Wu, P Wang, Y Xie, Y Liu, G Chow, J Wang Proceedings of the VLDB Endowment 16 (12), 4042-4045, 2023 | | 2023 |
Lampros FlokasPhD Student, Columbia UniversityVerified email at cs.columbia.edu
