Qin Li - RankMe

95 papers A* 2A 1Journal 92

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stochastic Galerkin Methods for Radiative Transfer Equations with Uncertain and Highly Oscillatory Scattering Coefficients. J. Sci. Comput. Chuqi Zheng, Qin Li, Xinghui Zhong
2025	J	`jnl`	Accelerating optimization over the space of probability measures. J. Mach. Learn. Res. Shi Chen, Qin Li, Oliver Tse, Stephen J. Wright
2025	J	`jnl`	Control of instability in a Vlasov-Poisson system through an external electric field. J. Comput. Phys. Lukas Einkemmer, Qin Li, Clément Mouhot, Yukun Yue
2025	J	`jnl`	Reconstructing the Kinetic Chemotaxis Kernel Using Macroscopic Data: Well-Posedness and Ill-Posedness. SIAM J. Appl. Math. Kathrin Hellmuth, Christian Klingenberg, Qin Li, Min Tang
2024	J	`jnl`	A Good Score Does not Lead to A Good Generative Model. CoRR Sixu Li, Shi Chen, Qin Li
2024	J	`jnl`	Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models. CoRR Borong Zhang, Martin Guerra, Qin Li, Leonardo Zepeda-Núñez
2024	J	`jnl`	Bayesian sampling using interacting particles. CoRR Shi Chen, Zhiyan Ding, Qin Li
2024	J	`jnl`	Continuous nonlinear adaptive experimental design with gradient flow. CoRR Ruhui Jin, Qin Li, Stephen O. Mussmann, Stephen J. Wright
2024	J	`jnl`	Control of Instability in a Vlasov-Poisson System Through an External Electric Field. CoRR Lukas Einkemmer, Qin Li, Clément Mouhot, Yukun Yue
2024	J	`jnl`	Differential Equation-Constrained Optimization with Stochasticity. SIAM/ASA J. Uncertain. Quantification Qin Li, Li Wang, Yunan Yang
2024	J	`jnl`	Inference of Interaction Kernels in Mean-Field Models of Opinion Dynamics. SIAM J. Appl. Math. Weiqi Chu, Qin Li, Mason A. Porter
2024	J	`jnl`	Kinetic Chemotaxis Tumbling Kernel Determined from Macroscopic Quantities. SIAM J. Math. Anal. Kathrin Hellmuth, Christian Klingenberg, Qin Li, Min Tang
2024	J	`jnl`	Optimal experimental design via gradient flow. CoRR Ruhui Jin, Martin Guerra, Qin Li, Stephen J. Wright
2024	J	`jnl`	Preserving positivity of Gauss-Newton Hessian through random sampling. CoRR Kathrin Hellmuth, Christian Klingenberg, Qin Li
2024	J	`jnl`	Suppressing instability in a Vlasov-Poisson system by an external electric field through constrained optimization. J. Comput. Phys. Lukas Einkemmer, Qin Li, Li Wang, Yunan Yang
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	J	`jnl`	Unique reconstruction for discretized inverse problems: a random sketching approach. CoRR Ruhui Jin, Qin Li, Anjali Nair, Samuel N. Stechmann
2023	J	`jnl`	Accelerating optimization over the space of probability measures. CoRR Shi Chen, Qin Li, Oliver Tse, Stephen J. Wright
2023	J	`jnl`	Correcting auto-differentiation in neural-ODE training. CoRR Yewei Xu, Shi Chen, Qin Li, Stephen J. Wright
2023	J	`jnl`	Differential-Equation Constrained Optimization With Stochasticity. CoRR Qin Li, Li Wang, Yunan Yang
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`	Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation. SIAM J. Numer. Anal. Qin Li, Li Wang, Yunan Yang
2023	J	`jnl`	Numerical reconstruction of the kinetic chemotaxis kernel from macroscopic measurement, wellposedness and illposedness. CoRR Kathrin Hellmuth, Christian Klingenberg, Qin Li, Min Tang
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`	Stochastic Galerkin Methods for Time-Dependent Radiative Transfer Equations with Uncertain Coefficients. J. Sci. Comput. Chuqi Zheng, Jiayu Qiu, Qin Li, Xinghui Zhong
2023	J	`jnl`	Suppressing Instability in a Vlasov-Poisson System by an External Electric Field Through Constrained Optimization. CoRR Lukas Einkemmer, Qin Li, Li Wang, Yunan Yang
2022	J	`jnl`	Bayesian Instability of Optical Imaging: Ill Conditioning of Inverse Linear and Nonlinear Radiative Transfer Equation in the Fluid Regime. Comput. Qin Li, Kit Newton, Li Wang
2022	J	`jnl`	Bridging and Improving Theoretical and Computational Electrical Impedance Tomography via Data Completion. SIAM J. Sci. Comput. Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez
2022	J	`jnl`	Computation of optimal beams in weak turbulence. CoRR Qin Li, Anjali Nair, Samuel N. Stechmann
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`	Inference of interaction kernels in mean-field models of opinion dynamics. CoRR Weiqi Chu, Qin Li, Mason A. Porter
2022	J	`jnl`	Manifold Learning and Nonlinear Homogenization. Multiscale Model. Simul. Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2022	J	`jnl`	Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation. CoRR Qin Li, Li Wang, Yunan Yang
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
2022	J	`jnl`	Reconstructing the Thermal Phonon Transmission Coefficient at Solid Interfaces in the Phonon Transport Equation. SIAM J. Appl. Math. Irene M. Gamba, Qin Li, Anjali Nair
2022	J	`jnl`	Second-order diffusion limit for the phonon transport equation-asymptotics and numerics. CoRR Anjali Nair, Qin Li, Weiran Sun
2022	J	`jnl`	Solving the Wide-band Inverse Scattering Problem via Equivariant Neural Networks. CoRR Borong Zhang, Leonardo Zepeda-Núñez, Qin Li
2021	J	`jnl`	A Low-Rank Schwarz Method for Radiative Transfer Equation With Heterogeneous Scattering Coefficient. Multiscale Model. Simul. Ke Chen, Qin Li, Jianfeng Lu, 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`	Bridging and Improving Theoretical and Computational Electric Impedance Tomography via Data Completion. CoRR Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez
2021	J	`jnl`	Classical limit for the varying-mass Schrödinger equation with random inhomogeneities. J. Comput. Phys. Shi Chen, Qin Li, Xu Yang
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`	Low-rank approximation for multiscale PDEs. CoRR Ke Chen, Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2021	J	`jnl`	Multiscale Convergence of the Inverse Problem for Chemotaxis in the Bayesian Setting. Comput. Kathrin Hellmuth, Christian Klingenberg, Qin Li, Min Tang
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
2021	J	`jnl`	Reconstruction of the Emission Coefficient in the Nonlinear Radiative Transfer Equation. SIAM J. Appl. Math. Christian Klingenberg, Ru-Yu Lai, Qin Li
2020	J	`jnl`	Diffusive Optical Tomography in the Bayesian Framework. Multiscale Model. Simul. Kit Newton, Qin Li, Andrew M. Stuart
2020	J	`jnl`	Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds. CoRR Zhiyan Ding, Qin Li, Jianfeng Lu
2020	J	`jnl`	Generalized Multiscale Finite Element Method for the Steady State Linear Boltzmann Equation. Multiscale Model. Simul. Eric T. Chung, Yalchin Efendiev, Yanbo Li, Qin Li
2020	J	`jnl`	Langevin Monte Carlo: random coordinate descent and variance reduction. CoRR Zhiyan Ding, Qin Li
2020	J	`jnl`	Manifold Learning and Nonlinear Homogenization. CoRR Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Parameter Reconstruction for General Transport Equation. SIAM J. Math. Anal. Ru-Yu Lai, 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`	Random Sampling and Efficient Algorithms for Multiscale PDEs. SIAM J. Sci. Comput. Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Randomized Sampling for Basis Function Construction in Generalized Finite Element Methods. Multiscale Model. Simul. Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Reconstructing the thermal phonon transmission coefficient at solid interfaces in the phonon transport equation. CoRR Irene M. Gamba, Qin Li, Anjali Nair
2020	J	`jnl`	Semi-classical limit for the varying-mass Schrödinger equation with random inhomogeneities. CoRR Shi Chen, Qin Li, Xu Yang
2020	J	`jnl`	Semi-classical limit of an inverse problem for the Schrödinger equation. CoRR Shi Chen, Qin Li
2020	J	`jnl`	Sensitivity Analysis of Burgers' Equation with Shocks. SIAM/ASA J. Uncertain. Quantification Qin Li, Jian-Guo Liu, Ruiwen Shu
2020	J	`jnl`	Structured Random Sketching for PDE Inverse Problems. SIAM J. Matrix Anal. Appl. Ke Chen, Qin Li, Kit Newton, 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`	A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient. CoRR Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2019	J	`jnl`	A numerical method for coupling the BGK model and Euler equations through the linearized Knudsen layer. J. Comput. Phys. Hongxu Chen, Qin Li, Jianfeng Lu
2019	J	`jnl`	Diffusion Equation-Assisted Markov Chain Monte Carlo Methods for the Inverse Radiative Transfer Equation. Entropy Qin Li, Kit Newton
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`	Inverse Problems for the Stationary Transport Equation in the Diffusion Scaling. SIAM J. Appl. Math. Ru-Yu Lai, Qin Li, Gunther Uhlmann
2019	J	`jnl`	Mean-field limit and numerical analysis for Ensemble Kalman Inversion: linear setting. CoRR Zhiyan Ding, Qin Li
2019	J	`jnl`	Numerical Analysis for Conservation Laws Using l J. Sci. Comput. Anne Gelb, X. Hou, Qin Li
2019	J	`jnl`	Schwarz iteration method for elliptic equation with rough media based on random sampling. CoRR Ke Chen, Qin Li, Stephen J. Wright
2019	J	`jnl`	Structured random sketching for PDE inverse problems. CoRR Ke Chen, Qin Li, Kit Newton, Steve Wright
2018	J	`jnl`	A New Numerical Approach to Inverse Transport Equation with Error Analysis. SIAM J. Numer. Anal. Qin Li, Ruiwen Shu, Li Wang
2018	J	`jnl`	Galerkin Methods for Stationary Radiative Transfer Equations with Uncertain Coefficients. J. Sci. Comput. Xinghui Zhong, Qin Li
2018	J	`jnl`	Stability of Inverse Transport Equation in Diffusion Scaling and Fokker-Planck Limit. SIAM J. Appl. Math. Ke Chen, Qin Li, Li Wang
2017	J	`jnl`	A Sparse Decomposition of Low Rank Symmetric Positive Semidefinite Matrices. Multiscale Model. Simul. Thomas Y. Hou, Qin Li, Pengchuan Zhang
2017	J	`jnl`	An Asymptotic Preserving Method for Transport Equations with Oscillatory Scattering Coefficients. Multiscale Model. Simul. Qin Li, Jianfeng Lu
2017	J	`jnl`	Exploring the Locally Low Dimensional Structure in Solving Random Elliptic PDEs. Multiscale Model. Simul. Thomas Y. Hou, Qin Li, Pengchuan Zhang
2017	J	`jnl`	Half-space kinetic equations with general boundary conditions. Math. Comput. Qin Li, Jianfeng Lu, Weiran Sun
2017	J	`jnl`	Uniform Regularity for Linear Kinetic Equations with Random Input Based on Hypocoercivity. SIAM/ASA J. Uncertain. Quantification Qin Li, Li Wang
2015	J	`jnl`	A Multiband Semiclassical Model for Surface Hopping Quantum Dynamics. Multiscale Model. Simul. Lihui Chai, Shi Jin, Qin Li, Omar Morandi
2015	J	`jnl`	Asymptotic-Preserving Exponential Methods for the Quantum Boltzmann Equation with High-Order Accuracy. J. Sci. Comput. Jingwei Hu, Qin Li, Lorenzo Pareschi
2015	J	`jnl`	Diffusion approximations and domain decomposition method of linear transport equations: Asymptotics and numerics. J. Comput. Phys. Qin Li, Jianfeng Lu, Weiran Sun
2015	J	`jnl`	Sparse + low-energy decomposition for viscous conservation laws. J. Comput. Phys. Thomas Y. Hou, Qin Li, Hayden Schaeffer
2014	J	`jnl`	Exponential Runge-Kutta for the inhomogeneous Boltzmann equations with high order of accuracy. J. Comput. Phys. Qin Li, Lorenzo Pareschi