Zhiyan Ding - RankMe

35 papers A* 3A 1Journal 31

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Operator-Level Quantum Acceleration of Non-Logconcave Sampling. CoRR Jiaqi Leng, Zhiyan Ding, Zherui Chen, Lin Lin
2025	J	`jnl`	Quantum Filtering and Analysis of Multiplicities in Eigenvalue Spectra. CoRR Zhiyan Ding, Lin Lin, Yilun Yang, Ruizhe Zhang
2024	J	`jnl`	Bayesian sampling using interacting particles. CoRR Shi Chen, Zhiyan Ding, Qin Li
2024	J	`jnl`	Convergence of variational Monte Carlo simulation and scale-invariant pre-training. J. Comput. Phys. Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin
2024	J	`jnl`	Quantum Multiple Eigenvalue Gaussian filtered Search: an efficient and versatile quantum phase estimation method. Quantum Zhiyan Ding, Haoya Li, Lin Lin, Hongkang Ni, Lexing Ying, Ruizhe Zhang
2024	J	`jnl`	Swarm-Based Gradient Descent Meets Simulated Annealing. SIAM J. Numer. Anal. Zhiyan Ding, Martin Guerra, Qin Li, Eitan Tadmor
2024	J	`jnl`	Swarm-based gradient descent meets simulated annealing. CoRR Zhiyan Ding, Martin Guerra, Qin Li, Eitan Tadmor
2024	A*	`conf`	The ESPRIT Algorithm Under High Noise: Optimal Error Scaling and Noisy Super-Resolution. FOCS Zhiyan Ding, Ethan N. Epperly, Lin Lin, Ruizhe Zhang
2024	J	`jnl`	The ESPRIT algorithm under high noise: Optimal error scaling and noisy super-resolution. CoRR Zhiyan Ding, Ethan N. Epperly, Lin Lin, Ruizhe Zhang
2023	J	`jnl`	Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation. CoRR Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin
2023	J	`jnl`	High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville. SIAM J. Imaging Sci. Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez
2023	J	`jnl`	On optimal bases for multiscale PDEs and Bayesian homogenization. CoRR Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright
2023	J	`jnl`	Simultaneous estimation of multiple eigenvalues with short-depth quantum circuit on early fault-tolerant quantum computers. Quantum Zhiyan Ding, Lin Lin
2022	J	`jnl`	High-frequency limit of the inverse scattering problem: asymptotic convergence from inverse Helmholtz to inverse Liouville. CoRR Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez
2022	J	`jnl`	Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis. J. Mach. Learn. Res. Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
2021	J	`jnl`	A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks. CoRR Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright
2021	J	`jnl`	Constrained Ensemble Langevin Monte Carlo. CoRR Zhiyan Ding, Qin Li
2021	J	`jnl`	Dynamical Low-Rank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit. SIAM J. Numer. Anal. Zhiyan Ding, Lukas Einkemmer, Qin Li
2021	J	`jnl`	Ensemble Kalman Sampler: Mean-field Limit and Convergence Analysis. SIAM J. Math. Anal. Zhiyan Ding, Qin Li
2021	J	`jnl`	Ensemble Kalman inversion: mean-field limit and convergence analysis. Stat. Comput. Zhiyan Ding, Qin Li
2021	J	`jnl`	Langevin Monte Carlo: random coordinate descent and variance reduction. J. Mach. Learn. Res. Zhiyan Ding, Qin Li
2021	J	`jnl`	On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime. CoRR Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
2021	J	`jnl`	Overparameterization of deep ResNet: zero loss and mean-field analysis. CoRR Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
2021	A*	`conf`	Random Coordinate Langevin Monte Carlo. COLT Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
2021	A	`conf`	Random Coordinate Underdamped Langevin Monte Carlo. AISTATS Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds. CoRR Zhiyan Ding, Qin Li, Jianfeng Lu
2020	J	`jnl`	Langevin Monte Carlo: random coordinate descent and variance reduction. CoRR Zhiyan Ding, Qin Li
2020	J	`jnl`	Random Coordinate Langevin Monte Carlo. CoRR Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Random Coordinate Underdamped Langevin Monte Carlo. CoRR Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Variance reduction for Langevin Monte Carlo in high dimensional sampling problems. CoRR Zhiyan Ding, Qin Li
2020	A*	`conf`	Variance reduction for Random Coordinate Descent-Langevin Monte Carlo. NeurIPS Zhiyan Ding, Qin Li
2019	J	`jnl`	Ensemble Kalman Sampling: mean-field limit and convergence analysis. CoRR Zhiyan Ding, Qin Li
2019	J	`jnl`	Error Lower Bounds of Constant Step-size Stochastic Gradient Descent. CoRR Zhiyan Ding, Yiding Chen, Qin Li, Xiaojin Zhu
2019	J	`jnl`	Error analysis of an asymptotic preserving dynamical low-rank integrator for the multi-scale radiative transfer equation. CoRR Zhiyan Ding, Lukas Einkemmer, Qin Li
2019	J	`jnl`	Mean-field limit and numerical analysis for Ensemble Kalman Inversion: linear setting. CoRR Zhiyan Ding, Qin Li