| Learning interaction kernels in mean-field equations of first-order systems of interacting particles Q Lang, F Lu SIAM Journal on Scientific Computing 44 (1), A260-A285, 2022 | 30 | 2022 |
| Identifiability of interaction kernels in mean-field equations of interacting particles Q Lang, F Lu Foundation of Data Science, 2023, Volume 5, Issue 4: 480-502., 2021 | 19 | 2021 |
| Data adaptive RKHS Tikhonov regularization for learning kernels in operators F Lu, Q Lang, Q An Mathematical and Scientific Machine Learning, 158-172, 2022 | 17 | 2022 |
| Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel Q Lang, X Wang, F Lu, M Maggioni arXiv preprint arXiv:2402.08412, 2024 | 5 | 2024 |
| A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators NK Chada, Q Lang, F Lu, X Wang Journal of Machine Learning Research 25 (317), 1-37, 2024 | 4* | 2024 |
| Powers of generators on Dirichlet spaces and applications to Harnack principles F Baudoin, Q Lang, Y Sire arXiv preprint arXiv:2010.01036, 2020 | 4 | 2020 |
| Small noise analysis for Tikhonov and RKHS regularizations Q Lang, F Lu arXiv preprint arXiv:2305.11055, 2023 | 3 | 2023 |
| Learning Memory Kernels in Generalized Langevin Equations Q Lang, J Lu arXiv preprint arXiv:2402.11705, 2024 | 2 | 2024 |
| A Unified Blockwise Measurement Design for Learning Quantum Channels and Lindbladians via Low-Rank Matrix Sensing Q Lang, J Lu arXiv preprint arXiv:2501.14080, 2025 | | 2025 |
| Self-test loss functions for learning weak-form operators and gradient flows Y Gao, Q Lang, F Lu arXiv preprint arXiv:2412.03506, 2024 | | 2024 |
| Extension method in Dirichlet spaces with sub-Gaussian estimates and applications to regularity of jump processes on fractals F Baudoin, Q Lang, Y Sire arXiv preprint arXiv:2403.18984, 2024 | | 2024 |
Fei LuJohns Hopkins UniversityAdresse e-mail validée de math.jhu.edu
