| Multi-fidelity Bayesian optimization via deep neural networks S Li, W Xing, R Kirby, S Zhe Advances in Neural Information Processing Systems 33, 8521-8531, 2020 | 52 | 2020 |
| Deep multi-fidelity active learning of high-dimensional outputs S Li, RM Kirby, S Zhe arXiv preprint arXiv:2012.00901, 2020 | 24 | 2020 |
| Batch multi-fidelity Bayesian optimization with deep auto-regressive networks S Li, R Kirby, S Zhe Advances in Neural Information Processing Systems 34, 25463-25475, 2021 | 11 | 2021 |
| Scalable variational gaussian process regression networks S Li, W Xing, M Kirby, S Zhe arXiv preprint arXiv:2003.11489, 2020 | 10 | 2020 |
| Batch Multi-Fidelity Active Learning with Budget Constraints S Li, JM Phillips, X Yu, R Kirby, S Zhe Advances in Neural Information Processing Systems 35, 995-1007, 2022 | 9 | 2022 |
| Analysis of multivariate scoring functions for automatic unbiased learning to rank T Yang, S Fang, S Li, Y Wang, Q Ai Proceedings of the 29th ACM International Conference on Information …, 2020 | 7 | 2020 |
| Infinite-fidelity coregionalization for physical simulation S Li, Z Wang, R Kirby, S Zhe Advances in Neural Information Processing Systems 35, 25965-25978, 2022 | 5 | 2022 |
| Meta learning of interface conditions for multi-domain physics-informed neural networks S Li, M Penwarden, Y Xu, C Tillinghast, A Narayan, RM Kirby, S Zhe arXiv preprint arXiv:2210.12669, 2022 | 4 | 2022 |
| Meta-learning with adjoint methods S Li, Z Wang, A Narayan, R Kirby, S Zhe International Conference on Artificial Intelligence and Statistics, 7239-7251, 2023 | 3 | 2023 |
| Nonparametric embeddings of sparse high-order interaction events Z Wang, Y Xu, C Tillinghast, S Li, A Narayan, S Zhe International Conference on Machine Learning, 23237-23253, 2022 | 2 | 2022 |
| Decomposing temporal high-order interactions via latent odes S Li, R Kirby, S Zhe International Conference on Machine Learning, 12797-12812, 2022 | 1 | 2022 |
| Multi-Resolution Active Learning of Fourier Neural Operators S Li, X Yu, W Xing, R Kirby, A Narayan, S Zhe International Conference on Artificial Intelligence and Statistics, 2440-2448, 2024 | | 2024 |
| Streaming Factor Trajectory Learning for Temporal Tensor Decomposition S Fang, X Yu, S Li, Z Wang, M Kirby, S Zhe Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes Z Wang, S Fang, S Li, S Zhe Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Z Wang, S Li, S Fang, S Zhe arXiv preprint arXiv:2311.05606, 2023 | | 2023 |
| Solving High Frequency and Multi-Scale PDEs with Gaussian Processes S Fang, M Cooley, D Long, S Li, R Kirby, S Zhe arXiv preprint arXiv:2311.04465, 2023 | | 2023 |
| Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data S Fang, X Yu, Z Wang, S Li, M Kirby, S Zhe arXiv preprint arXiv:2311.04829, 2023 | | 2023 |
