| Characterizing glioblastoma heterogeneity via single-cell receptor quantification S Chen, T Le, BAC Harley, PI Imoukhuede Frontiers in bioengineering and biotechnology 6, 92, 2018 | 35 | 2018 |
| Training invariances and the low-rank phenomenon: beyond linear networks T Le, S Jegelka International Conference on Learning Representations, 2022 | 23 | 2022 |
| Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation T Le, A Sy, EK Molloy, Q Zhang, S Rao, T Warnow IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (1), 2-15, 2020 | 7 | 2020 |
| Using INC Within Divide-and-Conquer Phylogeny Estimation T Le, A Sy, EK Molloy, Q Zhang, S Rao, T Warnow International Conference on Algorithms for Computational Biology, 167-178, 2019 | 7 | 2019 |
| Limits, approximation and size transferability for GNNs on sparse graphs via graphops T Le, S Jegelka Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Advancing Divide-and-Conquer Phylogeny Estimation using Robinson-Foulds Supertrees✶ X Yu, T Le, SA Christensen, EK Molloy, T Warnow bioRxiv, 2020.05. 16.099895, 2020 | 1 | 2020 |
| On the hardness of learning under symmetries BT Kiani, T Le, H Lawrence, S Jegelka, M Weber arXiv preprint arXiv:2401.01869, 2024 | | 2024 |
| A Poincar\'e Inequality and Consistency Results for Signal Sampling on Large Graphs T Le, L Ruiz, S Jegelka arXiv preprint arXiv:2311.10610, 2023 | | 2023 |
| Using Robinson-Foulds supertrees in divide-and-conquer phylogeny estimation X Yu, T Le, SA Christensen, EK Molloy, T Warnow Algorithms for Molecular Biology 16, 1-18, 2021 | | 2021 |
