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Ziang Chen
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Cited by
Year
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
292021
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
242023
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
122023
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
122020
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
112023
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
42024
A trust-region method for nonsmooth nonconvex optimization
Z Chen, A Milzarek, Z Wen
Journal of Computational Mathematics 41 (4), 683-716, 2023
42023
Representation theorem for multivariable totally symmetric functions
C Chen, Z Chen, J Lu
arXiv preprint arXiv:2211.15958, 2022
42022
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
12024
Exact and efficient representation of totally anti-symmetric functions
Z Chen, J Lu
arXiv preprint arXiv:2311.05064, 2023
12023
One-dimensional tensor network recovery
Z Chen, J Lu, AR Zhang
arXiv preprint arXiv:2207.10665, 2022
12022
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
2024
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
Z Chen, R Ge
arXiv preprint arXiv:2402.08948, 2024
2024
Efficient Algorithms for Sum-of-Minimum Optimization
L Ding, Z Chen, X Wang, W Yin
arXiv preprint arXiv:2402.07070, 2024
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
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
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Articles 1–18