| Ensemble Kalman inversion: mean-field limit and convergence analysis Z Ding, Q Li Statistics and Computing, 2021 31 (1), 1-21, 2019 | 48* | 2019 |
| Even shorter quantum circuit for phase estimation on early fault-tolerant quantum computers with applications to ground-state energy estimation Z Ding, L Lin PRX Quantum 4 (2), 2023 | 36 | 2023 |
| Ensemble Kalman Sampler: mean-field limit and convergence analysis Z Ding, Q Li SIAM Journal on Mathematical Analysis, 2021, 2019 | 36* | 2019 |
| Overparameterization of deep ResNet: zero loss and mean-field analysis Z Ding, S Chen, Q Li, SJ Wright Journal of machine learning research 23 (48), 1-65, 2022 | 28 | 2022 |
| Dynamical low-rank integrator for the linear Boltzmann equation: error analysis in the diffusion limit Z Ding, L Einkemmer, Q Li SIAM Journal on Numerical Analysis 59 (4), 2254-2285, 2021 | 26* | 2021 |
| Ensemble Kalman Inversion for nonlinear problems: Weights, consistency, and variance bounds Z Ding, Q Li, J Lu Foundations of Data Science 3 (3), 371-411, 2021 | 17 | 2021 |
| Simultaneous estimation of multiple eigenvalues with short-depth quantum circuit on early fault-tolerant quantum computers Z Ding, L Lin Quantum 7, 1136, 2023 | 15 | 2023 |
| Random Coordinate Underdamped Langevin Monte Carlo Z Ding, Q Li, J Lu, S Wright International Conference on Artificial Intelligence and Statistics, 2701-2709, 2021 | 13 | 2021 |
| Single-ancilla ground state preparation via lindbladians Z Ding, L Lin arXiv preprint arXiv:2308.15676, 2023 | 11 | 2023 |
| On the global convergence of gradient descent for multi-layer resnets in the mean-field regime Z Ding, S Chen, Q Li, S Wright arXiv preprint arXiv:2110.02926, 2021 | 8 | 2021 |
| Random Coordinate Langevin Monte Carlo Z Ding, Q Li, J Lu, SJ Wright Conference on Learning Theory, 2021, 2020 | 8 | 2020 |
| Langevin Monte Carlo: random coordinate descent and variance reduction Z Ding, Q Li Journal of Machine Learning Research, 2021, 2020 | 7 | 2020 |
| Simulating open quantum systems using hamiltonian simulations Z Ding, X Li, L Lin arXiv preprint arXiv:2311.15533, 2023 | 6 | 2023 |
| A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks S Chen, Z Ding, Q Li, SJ Wright Journal of Computational Mathematics, 2023 | 6 | 2023 |
| On a Fractional Schr\" odinger equation in the presence of Harmonic potential Z Ding, H Hajaiej Electronic Research Archive 29 (5), 3449-3469, 2021 | 5 | 2021 |
| Error lower bounds of constant step-size stochastic gradient descent Z Ding, Y Chen, Q Li, X Zhu arXiv preprint arXiv:1910.08212, 2019 | 5 | 2019 |
| Random regularity of a nonlinear Landau Damping solution for the Vlasov-Poisson equations with random inputs Z Ding, S Jin International Journal for Uncertainty Quantification, 2019 9 (2), 2018 | 4 | 2018 |
| Variance reduction for Random Coordinate Descent-Langevin Monte Carlo Z Ding, Q Li Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020 | 3 | 2020 |
| Quantum Multiple Eigenvalue Gaussian filtered Search: an efficient and versatile quantum phase estimation method Z Ding, H Li, L Lin, HK Ni, L Ying, R Zhang arXiv preprint arXiv:2402.01013, 2024 | 2 | 2024 |
| Robust ground-state energy estimation under depolarizing noise Z Ding, Y Dong, Y Tong, L Lin arXiv preprint arXiv:2307.11257, 2023 | 2 | 2023 |
QIN LIUniversity of Wisconsin-MadisonVerified email at math.wisc.edu
