| Can Public Large Language Models Help Private Cross-device Federated Learning? B Wang, YJ Zhang, Y Cao, B Li, HB McMahan, S Oh, Z Xu, M Zaheer arXiv preprint arXiv:2305.12132, 2023 | 27 | 2023 |
| On multiset selection with size constraints C Qian, Y Zhang, K Tang, X Yao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 26 | 2018 |
| Bayesian coresets: Revisiting the nonconvex optimization perspective J Zhang, R Khanna, A Kyrillidis, S Koyejo International Conference on Artificial Intelligence and Statistics, 2782-2790, 2021 | 25 | 2021 |
| Uncovering the connections between adversarial transferability and knowledge transferability K Liang, JY Zhang, B Wang, Z Yang, S Koyejo, B Li International Conference on Machine Learning, 6577-6587, 2021 | 18 | 2021 |
| Does adversarial transferability indicate knowledge transferability? K Liang, JY Zhang, OO Koyejo, B Li | 8 | 2020 |
| Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization X Xu, JY Zhang, E Ma, HH Son, S Koyejo, B Li International Conference on Machine Learning, 24770-24802, 2022 | 7 | 2022 |
| Federated Auto-weighted Domain Adaptation E Jiang, YJ Zhang, O Koyejo arXiv preprint arXiv:2302.05049, 2023 | 6* | 2023 |
| Labeling cost sensitive batch active learning for brain tumor segmentation M Shen, JY Zhang, L Chen, W Yan, N Jani, B Sutton, O Koyejo 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1269-1273, 2021 | 6 | 2021 |
| Learning sparse distributions using iterative hard thresholding JY Zhang, R Khanna, A Kyrillidis, OO Koyejo Advances in Neural Information Processing Systems 32, 2019 | 4 | 2019 |
| Robusta: Robust AutoML for Feature Selection via Reinforcement Learning X Wang, B Li, Y Zhang, B Kailkhura, K Nahrstedt arXiv preprint arXiv:2101.05950, 2021 | 2 | 2021 |
| Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting E Jiang, YJ Zhang, S Koyejo The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |
| Batch Active Learning from the Perspective of Sparse Approximation M Shen, B Jiang, JY Zhang, O Koyejo arXiv preprint arXiv:2211.00246, 2022 | 1 | 2022 |
| Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization Y Zhang, C Qian, K Tang arXiv preprint arXiv:1810.06833, 2018 | | 2018 |
| SABAL: Sparse Approximation-based Batch Active Learning M Shen, B Jiang, JY Zhang, OO Koyejo | | |
