| On representing linear programs by graph neural networks Z Chen, J Liu, X Wang, J Lu, W Yin The Eleventh International Conference on Learning Representations, 2023 | 36 | 2023 |
| On the representation of solutions to elliptic PDEs in Barron spaces Z Chen, J Lu, Y Lu Advances in neural information processing systems 34, 6454-6465, 2021 | 33 | 2021 |
| A Regularity Theory for Static Schrödinger Equations on d in Spectral Barron Spaces Z Chen, J Lu, Y Lu, S Zhou SIAM Journal on Mathematical Analysis 55 (1), 557-570, 2023 | 13 | 2023 |
| Tensor ring decomposition: optimization landscape and one-loop convergence of alternating least squares Z Chen, Y Li, J Lu SIAM Journal on Matrix Analysis and Applications 41 (3), 1416-1442, 2020 | 13 | 2020 |
| On the global convergence of randomized coordinate gradient descent for nonconvex optimization Z Chen, Y Li, J Lu SIAM Journal on Optimization 33 (2), 713-738, 2023 | 11 | 2023 |
| On the convergence of Sobolev gradient flow for the Gross–Pitaevskii eigenvalue problem Z Chen, J Lu, Y Lu, X Zhang SIAM Journal on Numerical Analysis 62 (2), 667-691, 2024 | 5 | 2024 |
| A trust-region method for nonsmooth nonconvex optimization Z Chen, A Milzarek, Z Wen Journal of Computational Mathematics 41 (4), 683-716, 2023 | 4 | 2023 |
| Representation theorem for multivariable totally symmetric functions C Chen, Z Chen, J Lu arXiv preprint arXiv:2211.15958, 2022 | 4 | 2022 |
| Fully discretized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem Z Chen, J Lu, Y Lu, X Zhang arXiv preprint arXiv:2403.06028, 2024 | 2 | 2024 |
| Rethinking the Capacity of Graph Neural Networks for Branching Strategy Z Chen, J Liu, X Chen, X Wang, W Yin arXiv preprint arXiv:2402.07099, 2024 | 2 | 2024 |
| One-dimensional tensor network recovery Z Chen, J Lu, AR Zhang arXiv preprint arXiv:2207.10665, 2022 | 2 | 2022 |
| Stochastic Gradient Langevin Unlearning E Chien, H Wang, Z Chen, P Li arXiv preprint arXiv:2403.17105, 2024 | 1 | 2024 |
| Efficient Algorithms for Sum-of-Minimum Optimization L Ding, Z Chen, X Wang, W Yin arXiv preprint arXiv:2402.07070, 2024 | 1 | 2024 |
| Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning E Chien, H Wang, Z Chen, P Li arXiv preprint arXiv:2401.10371, 2024 | 1 | 2024 |
| Exact and efficient representation of totally anti-symmetric functions Z Chen, J Lu arXiv preprint arXiv:2311.05064, 2023 | 1 | 2023 |
| Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs Z Chen, X Chen, J Liu, X Wang, W Yin arXiv preprint arXiv:2406.05938, 2024 | | 2024 |
| Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input Z Chen, R Ge arXiv preprint arXiv:2402.08948, 2024 | | 2024 |
| HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent Z Chen, J Lu, H Qian, X Wang, W Yin International Conference on Artificial Intelligence and Statistics, 10732-10781, 2023 | | 2023 |
| Mathematical Analysis of High-Dimensional Algorithms and Models Z Chen Duke University, 2023 | | 2023 |
| On Representing Mixed-Integer Linear Programs by Graph Neural Networks Z Chen, J Liu, X Wang, J Lu, W Yin The Eleventh International Conference on Learning Representations, 2023 | | 2023 |
Jianfeng Lu 鲁剑锋Department of Mathematics, Department of Chemistry and Department of Physics, Duke University在 math.duke.edu 的电子邮件经过验证
