Jianfeng Lu - RankMe

184 papers A* 16A 2B 2Misc 1Journal 162

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Memory Kernels in Generalized Langevin Equations. SIAM J. Math. Data Sci. Quanjun Lang, Jianfeng Lu
2026	J	`jnl`	Solution Theory of Hamilton-Jacobi-Bellman Equations in Spectral Barron Spaces. SIAM J. Math. Anal. Ye Feng, Jianfeng Lu
2025	J	`jnl`	A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee. SIAM J. Control. Optim. Mo Zhou, Jianfeng Lu
2025	J	`jnl`	A Randomized Method for Simulating Lindblad Equations and Thermal State Preparation. Quantum Hongrui Chen, Bowen Li, Jianfeng Lu, Lexing Ying
2025	J	`jnl`	Accelerate Langevin Sampling with Birth-Death Process and Exploration Component. SIAM/ASA J. Uncertain. Quantification Lezhi Tan, Jianfeng Lu
2025	J	`jnl`	Asymptotic Analysis for Bloch Electrons with Weyl Nodes. Multiscale Model. Simul. Jianfeng Lu, Changhe Yang, Zhennan Zhou
2025	A*	`conf`	Consistency Posterior Sampling for Diverse Image Synthesis. CVPR Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng
2025	J	`jnl`	Diffusion methods for generating transition paths. J. Comput. Phys. Luke Triplett, Jianfeng Lu
2025	J	`jnl`	Error Bounds for Open Quantum Systems with Harmonic Bosonic Bath. Quantum Kaizhao Liu, Jianfeng Lu
2025	J	`jnl`	Mean square error analysis of stochastic gradient and variance-reduced sampling algorithms. CoRR Jianfeng Lu, Xuda Ye, Zhennan Zhou
2025	J	`jnl`	Regularized Stein Variational Gradient Flow. Found. Comput. Math. Ye He, Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Jianfeng Lu
2025	J	`jnl`	Structure-Preserving Numerical Schemes for Lindblad Equations. J. Sci. Comput. Yu Cao, Jianfeng Lu
2025	A*	`conf`	Towards characterizing the value of edge embeddings in Graph Neural Networks. ICML Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski
2024	J	`jnl`	A Machine Learning Framework for Geodesics Under Spherical Wasserstein-Fisher-Rao Metric and Its Application for Weighted Sample Generation. J. Sci. Comput. Yang Jing, Jiaheng Chen, Lei Li, Jianfeng Lu
2024	J	`jnl`	Convergence of Flow-Based Generative Models via Proximal Gradient Descent in Wasserstein Space. IEEE Trans. Inf. Theory Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie
2024	J	`jnl`	Deep Network Approximation: Beyond ReLU to Diverse Activation Functions. J. Mach. Learn. Res. Shijun Zhang, Jianfeng Lu, Hongkai Zhao
2024	J	`jnl`	Fully discretized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem. CoRR Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang
2024	J	`jnl`	Locality of the windowed local density of states. Numerische Mathematik Terry A. Loring, Jianfeng Lu, Alexander B. Watson
2024	J	`jnl`	On the Convergence of Sobolev Gradient Flow for the Gross-Pitaevskii Eigenvalue Problem. SIAM J. Numer. Anal. Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang
2024	J	`jnl`	One-Dimensional Tensor Network Recovery. SIAM J. Matrix Anal. Appl. Ziang Chen, Jianfeng Lu, Anru Zhang
2024	J	`jnl`	Posterior sampling via Langevin dynamics based on generative priors. CoRR Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng
2024	J	`jnl`	Score-based transport modeling for mean-field Fokker-Planck equations. J. Comput. Phys. Jianfeng Lu, Yue Wu, Yang Xiang
2024	J	`jnl`	Towards characterizing the value of edge embeddings in Graph Neural Networks. CoRR Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski
2024	A*	`conf`	What does guidance do? A fine-grained analysis in a simple setting. NeurIPS Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu
2024	J	`jnl`	What does guidance do? A fine-grained analysis in a simple setting. CoRR Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu
2023	J	`jnl`	A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee. CoRR Mo Zhou, Jianfeng Lu
2023	J	`jnl`	Convergence of flow-based generative models via proximal gradient descent in Wasserstein space. CoRR Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie
2023	B	`conf`	Convergence of score-based generative modeling for general data distributions. ALT Holden Lee, Jianfeng Lu, Yixin Tan
2023	J	`jnl`	Convergence of stochastic gradient descent under a local Lajasiewicz condition for deep neural networks. CoRR Jing An, Jianfeng Lu
2023	A*	`conf`	Deep Equilibrium Based Neural Operators for Steady-State PDEs. NeurIPS Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2023	J	`jnl`	Deep Equilibrium Based Neural Operators for Steady-State PDEs. CoRR Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2023	J	`jnl`	Deep Network Approximation: Beyond ReLU to Diverse Activation Functions. CoRR Shijun Zhang, Jianfeng Lu, Hongkai Zhao
2023	J	`jnl`	Edge State Dynamics Along Curved Interfaces. SIAM J. Math. Anal. Guillaume Bal, Simon Becker, Alexis Drouot, Clotilde Fermanian Kammerer, Jianfeng Lu, Alexander B. Watson
2023	A	`conf`	HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. AISTATS Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin
2023	A*	`conf`	Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions. ICML Hongrui Chen, Holden Lee, Jianfeng Lu
2023	A*	`conf`	Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective. ICML Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski
2023	A*	`conf`	On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network. ICML Shijun Zhang, Jianfeng Lu, Hongkai Zhao
2023	J	`jnl`	On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network. CoRR Shijun Zhang, Jianfeng Lu, Hongkai Zhao
2023	J	`jnl`	On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization. SIAM J. Optim. Ziang Chen, Yingzhou Li, Jianfeng Lu
2023	J	`jnl`	On the convergence of Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem. CoRR Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang
2023	J	`jnl`	Quantum variational embedding for ground-state energy problems: sum of squares and cluster selection. CoRR Bowen Li, Jianfeng Lu
2023	J	`jnl`	Riemannian Langevin Monte Carlo schemes for sampling PSD matrices with fixed rank. CoRR Tianmin Yu, Shixin Zheng, Jianfeng Lu, Govind Menon, Xiangxiong Zhang
2023	J	`jnl`	Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. J. Mach. Learn. Res. Mo Zhou, Jianfeng Lu
2023	A*	`conf`	The probability flow ODE is provably fast. NeurIPS Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
2023	J	`jnl`	The probability flow ODE is provably fast. CoRR Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
2022	J	`jnl`	A Regularity Theory for Static Schrödinger Equations on R CoRR Ziang Chen, Jianfeng Lu, Yulong Lu, Shengxuan Zhou
2022	J	`jnl`	A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation. CoRR Yang Jing, Jiaheng Chen, Lei Li, Jianfeng Lu
2022	J	`jnl`	A proximal-gradient algorithm for crystal surface evolution. Numerische Mathematik Katy Craig, Jian-Guo Liu, Jianfeng Lu, Jeremy Louis Marzuola, Li Wang
2022	J	`jnl`	Asymptotic analysis of diabatic surface hopping algorithm in the adiabatic and non-adiabatic limits. CoRR Zhenning Cai, Di Fang, Jianfeng Lu
2022	J	`jnl`	Complexity of zigzag sampling algorithm for strongly log-concave distributions. Stat. Comput. Jianfeng Lu, Lihan Wang
2022	A*	`conf`	Convergence for score-based generative modeling with polynomial complexity. NeurIPS Holden Lee, Jianfeng Lu, Yixin Tan
2022	J	`jnl`	Convergence for score-based generative modeling with polynomial complexity. CoRR Holden Lee, Jianfeng Lu, Yixin Tan
2022	J	`jnl`	Convergence of score-based generative modeling for general data distributions. CoRR Holden Lee, Jianfeng Lu, Yixin Tan
2022	J	`jnl`	Defect Resonances of Truncated Crystal Structures. SIAM J. Appl. Math. Jianfeng Lu, Jeremy Louis Marzuola, Alexander B. Watson
2022	J	`jnl`	Fast Localization of Eigenfunctions via Smoothed Potentials. J. Sci. Comput. Jianfeng Lu, Cody Murphey, Stefan Steinerberger
2022	J	`jnl`	Fast algorithms of bath calculations in simulations of quantum system-bath dynamics. Comput. Phys. Commun. Zhenning Cai, Jianfeng Lu, Siyao Yang
2022	J	`jnl`	Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions. CoRR Hongrui Chen, Holden Lee, Jianfeng Lu
2022	A*	`conf`	Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. ICLR Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet
2022	J	`jnl`	Manifold Learning and Nonlinear Homogenization. Multiscale Model. Simul. Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2022	J	`jnl`	Neural Network Approximations of PDEs Beyond Linearity: Representational Perspective. CoRR Tanya Marwah, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2022	J	`jnl`	Neural Network Based Variational Methods for Solving Quadratic Porous Medium Equations in High Dimensions. CoRR Jianfeng Lu, Min Wang
2022	J	`jnl`	Numerical analysis for inchworm Monte Carlo method: Sign problem and error growth. Math. Comput. Zhenning Cai, Jianfeng Lu, Siyao Yang
2022	J	`jnl`	On Representing Linear Programs by Graph Neural Networks. CoRR Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin
2022	J	`jnl`	On Representing Mixed-Integer Linear Programs by Graph Neural Networks. CoRR Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin
2022	J	`jnl`	One-dimensional Tensor Network Recovery. CoRR Ziang Chen, Jianfeng Lu, Anru R. Zhang
2022	J	`jnl`	Regularized Stein Variational Gradient Flow. CoRR Ye He, Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Jianfeng Lu
2022	J	`jnl`	Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. CoRR Mo Zhou, Jianfeng Lu
2022	J	`jnl`	Symmetry Breaking and the Generation of Spin Ordered Magnetic States in Density Functional Theory Due to Dirac Exchange for a Hydrogen Molecule. J. Nonlinear Sci. Michael J. Holst, Houdong Hu, Jianfeng Lu, Jeremy Louis Marzuola, Duo Song, Jonathan Weare
2022	J	`jnl`	Vector-wise Joint Diagonalization of Almost Commuting Matrices. CoRR Bowen Li, Jianfeng Lu, Ziang Yu
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 Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations. CoRR Jianfeng Lu, Yulong Lu, Min Wang
2021	A*	`conf`	A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations. COLT Yulong Lu, Jianfeng Lu, Min Wang
2021	J	`jnl`	A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems. CoRR Jianfeng Lu, Yulong Lu
2021	J	`jnl`	Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. CoRR Mo Zhou, Jiequn Han, Jianfeng Lu
2021	J	`jnl`	Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. SIAM J. Sci. Comput. Mo Zhou, Jiequn Han, Jianfeng Lu
2021	J	`jnl`	Computing Edge States without Hard Truncation. SIAM J. Sci. Comput. Kyle Thicke, Alexander B. Watson, Jianfeng Lu
2021	J	`jnl`	Convergence of stochastic-extended Lagrangian molecular dynamics method for polarizable force field simulation. J. Comput. Phys. Dong An, Sara Y. Cheng, Teresa Head-Gordon, Lin Lin, Jianfeng Lu
2021	J	`jnl`	Deep Network Approximation for Smooth Functions. SIAM J. Math. Anal. Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
2021	J	`jnl`	Efficient Construction of Tensor Ring Representations from Sampling. Multiscale Model. Simul. Yuehaw Khoo, Jianfeng Lu, Lexing Ying
2021	B	`conf`	Efficient sampling from the Bingham distribution. ALT Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski
2021	J	`jnl`	Low-rank approximation for multiscale PDEs. CoRR Ke Chen, Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2021	J	`jnl`	Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. CoRR Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet
2021	A*	`conf`	On the Representation of Solutions to Elliptic PDEs in Barron Spaces. NeurIPS Ziang Chen, Jianfeng Lu, Yulong Lu
2021	J	`jnl`	On the Representation of Solutions to Elliptic PDEs in Barron Spaces. CoRR Ziang Chen, Jianfeng Lu, Yulong Lu
2021	J	`jnl`	On the global convergence of randomized coordinate gradient descent for non-convex optimization. CoRR Ziang Chen, Yingzhou Li, Jianfeng Lu
2021	J	`jnl`	Optimal Artificial Boundary Condition for Random Elliptic Media. Found. Comput. Math. Jianfeng Lu, Felix Otto
2021	J	`jnl`	Optimal artificial boundary conditions based on second-order correctors for three dimensional random elliptic media. CoRR Jianfeng Lu, Felix Otto, Lihan Wang
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`	Structure-preserving numerical schemes for Lindblad equations. CoRR Yu Cao, Jianfeng Lu
2020	A*	`conf`	A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth. ICML Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying
2020	J	`jnl`	A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth. CoRR Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying
2020	J	`jnl`	A Proximal-Gradient Algorithm for Crystal Surface Evolution. CoRR Katy Craig, Jian-Guo Liu, Jianfeng Lu, Jeremy Louis Marzuola, Li Wang
2020	J	`jnl`	A Universal Approximation Theorem of Deep Neural Networks for Expressing Distributions. CoRR Yulong Lu, Jianfeng Lu
2020	A*	`conf`	A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions. NeurIPS Yulong Lu, Jianfeng Lu
2020	J	`jnl`	Complexity of randomized algorithms for underdamped Langevin dynamics. CoRR Yu Cao, Jianfeng Lu, Lihan Wang
2020	J	`jnl`	Complexity of zigzag sampling algorithm for strongly log-concave distributions. CoRR Jianfeng Lu, Lihan Wang
2020	J	`jnl`	Continuum limit and preconditioned Langevin sampling of the path integral molecular dynamics. J. Comput. Phys. Jianfeng Lu, Yulong Lu, Zhennan Zhou
2020	J	`jnl`	Deep Network Approximation for Smooth Functions. CoRR Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
2020	J	`jnl`	Dirac Operators and Domain Walls. SIAM J. Math. Anal. Jianfeng Lu, Alexander B. Watson, Michael I. Weinstein
2020	J	`jnl`	ELSI - An open infrastructure for electronic structure solvers. Comput. Phys. Commun. Victor Wen-zhe Yu, Carmen Campos, William Dawson, Alberto García, Ville Havu, Ben Hourahine, William P. Huhn, Mathias Jacquelin, Weile Jia, Murat Keçeli, Raul Laasner, Yingzhou Li, Lin Lin, Jianfeng Lu, Jonathan Moussa, José E. Román, Álvaro Vázquez-Mayagoitia, Chao Yang, Volker Blum
2020	J	`jnl`	Efficient sampling from the Bingham distribution. CoRR Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski
2020	J	`jnl`	Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds. CoRR Zhiyan Ding, Qin Li, Jianfeng Lu
2020	A*	`conf`	Estimating normalizing constants for log-concave distributions: algorithms and lower bounds. STOC Rong Ge, Holden Lee, Jianfeng Lu
2020	J	`jnl`	Fast localization of eigenfunctions via smoothed potentials. CoRR Jianfeng Lu, Cody Murphey, Stefan Steinerberger
2020	J	`jnl`	Fisher information regularization schemes for Wasserstein gradient flows. J. Comput. Phys. Wuchen Li, Jianfeng Lu, Li Wang
2020	J	`jnl`	Manifold Learning and Nonlinear Homogenization. CoRR Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright
2020	J	`jnl`	Neural Collapse with Cross-Entropy Loss. CoRR Jianfeng Lu, Stefan Steinerberger
2020	J	`jnl`	Non-Convex Planar Harmonic Maps. CoRR Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu, Stefan Steinerberger
2020	J	`jnl`	Numerical analysis for inchworm Monte Carlo method: Sign problem and error growth. CoRR Zhenning Cai, Jianfeng Lu, Siyao Yang
2020	—	`ed.`	Proceedings of Mathematical and Scientific Machine Learning, MSML 2020, 20-24 July 2020, Virtual Conference / Princeton, NJ, USA MSML Jianfeng Lu, Rachel A. Ward
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`	Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. CoRR Jiequn Han, Jianfeng Lu, Mo Zhou
2020	J	`jnl`	Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. J. Comput. Phys. Jiequn Han, Jianfeng Lu, Mo Zhou
2020	J	`jnl`	Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements. CoRR Cheng Cheng, Ingrid Daubechies, Nadav Dym, Jianfeng Lu
2020	J	`jnl`	Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares. SIAM J. Matrix Anal. Appl. Ziang Chen, Yingzhou Li, Jianfeng Lu
2020	J	`jnl`	The Full Configuration Interaction Quantum Monte Carlo Method through the Lens of Inexact Power Iteration. SIAM J. Sci. Comput. Jianfeng Lu, Zhe Wang
2020	J	`jnl`	Variational training of neural network approximations of solution maps for physical models. J. Comput. Phys. Yingzhou Li, Jianfeng Lu, Anqi Mao
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`	A stochastic version of Stein Variational Gradient Descent for efficient sampling. CoRR Lei Li, Jian-Guo Liu, Zibu Liu, Jianfeng Lu
2019	J	`jnl`	Accelerating Langevin Sampling with Birth-death. CoRR Yulong Lu, Jianfeng Lu, James Nolen
2019	J	`jnl`	CoordinateWise Descent Methods for Leading Eigenvalue Problem. SIAM J. Sci. Comput. Yingzhou Li, Jianfeng Lu, Zhe Wang
2019	J	`jnl`	Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds. CoRR Rong Ge, Holden Lee, Jianfeng Lu
2019	J	`jnl`	Fisher information regularization schemes for Wasserstein gradient flows. CoRR Wuchen Li, Jianfeng Lu, Li Wang
2019	J	`jnl`	Numerical methods for Kohn-Sham density functional theory. Acta Numer. Lin Lin, Jianfeng Lu, Lexing Ying
2019	J	`jnl`	Scaling Limit of the Stein Variational Gradient Descent: The Mean Field Regime. SIAM J. Math. Anal. Jianfeng Lu, Yulong Lu, James Nolen
2019	J	`jnl`	Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
2019	J	`jnl`	Tensorization of the strong data processing inequality for quantum chi-square divergences. CoRR Yu Cao, Jianfeng Lu
2019	J	`jnl`	Tensorization of the strong data processing inequality for quantum chi-square divergences. Quantum Yu Cao, Jianfeng Lu
2019	J	`jnl`	Trigonometric integrators for quasilinear wave equations. Math. Comput. Ludwig Gauckler, Jianfeng Lu, Jeremy Louis Marzuola, Frederic Rousset, Katharina Schratz
2019	J	`jnl`	Universal approximation of symmetric and anti-symmetric functions. CoRR Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang
2019	J	`jnl`	Variational training of neural network approximations of solution maps for physical models. CoRR Yingzhou Li, Jianfeng Lu, Anqi Mao
2018	J	`jnl`	A Concurrent Global-Local Numerical Method for Multiscale PDEs. J. Sci. Comput. Yufang Huang, Jianfeng Lu, Pingbing Ming
2018	J	`jnl`	A Diabatic Surface Hopping Algorithm Based on Time Dependent Perturbation Theory and Semiclassical Analysis. Multiscale Model. Simul. Di Fang, Jianfeng Lu
2018	J	`jnl`	A Quantum Kinetic Monte Carlo Method for Quantum Many-Body Spin Dynamics. SIAM J. Sci. Comput. Zhenning Cai, Jianfeng Lu
2018	J	`jnl`	A Quasi-nonlocal Coupling Method for Nonlocal and Local Diffusion Models. SIAM J. Numer. Anal. Qiang Du, Xingjie Helen Li, Jianfeng Lu, Xiaochuan Tian
2018	J	`jnl`	A Surface Hopping Gaussian Beam Method for High-Dimensional Transport Systems. SIAM J. Sci. Comput. Zhenning Cai, Jianfeng Lu
2018	J	`jnl`	Analysis of Multiscale Integrators for Multiple Attractors and Irreversible Langevin Samplers. Multiscale Model. Simul. Jianfeng Lu, Konstantinos Spiliopoulos
2018	J	`jnl`	Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks. CoRR Yingzhou Li, Xiuyuan Cheng, Jianfeng Lu
2018	J	`jnl`	ELSI: A unified software interface for Kohn-Sham electronic structure solvers. Comput. Phys. Commun. Victor Wen-zhe Yu, Fabiano Corsetti, Alberto García, William P. Huhn, Mathias Jacquelin, Weile Jia, Björn Lange, Lin Lin, Jianfeng Lu, Wenhui Mi, Ali Seifitokaldani, Álvaro Vázquez-Mayagoitia, Chao Yang, Haizhao Yang, Volker Blum
2018	J	`jnl`	Frozen Gaussian approximation for high frequency wave propagation in periodic media. Asymptot. Anal. Ricardo Delgadillo, Jianfeng Lu, Xu Yang
2018	J	`jnl`	Frozen Gaussian approximation with surface hopping for mixed quantum-classical dynamics: A mathematical justification of fewest switches surface hopping algorithms. Math. Comput. Jianfeng Lu, Zhennan Zhou
2018	J	`jnl`	Phase-Space Sketching for Crystal Image Analysis Based on Synchrosqueezed Transforms. SIAM J. Imaging Sci. Jianfeng Lu, Haizhao Yang
2018	J	`jnl`	Point Cloud Discretization of Fokker-Planck Operators for Committor Functions. Multiscale Model. Simul. Rongjie Lai, Jianfeng Lu
2018	J	`jnl`	Solving for high dimensional committor functions using artificial neural networks. CoRR Yuehaw Khoo, Jianfeng Lu, Lexing Ying
2018	J	`jnl`	Stochastic dynamical low-rank approximation method. J. Comput. Phys. Yu Cao, Jianfeng Lu
2018	J	`jnl`	Stochastic modified equations for the asynchronous stochastic gradient descent. CoRR Jing An, Jianfeng Lu, Lexing Ying
2018	J	`jnl`	Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
2017	J	`jnl`	A cubic scaling algorithm for excited states calculations in particle-particle random phase approximation. J. Comput. Phys. Jianfeng Lu, Haizhao Yang
2017	J	`jnl`	An Asymptotic Preserving Method for Transport Equations with Oscillatory Scattering Coefficients. Multiscale Model. Simul. Qin Li, Jianfeng Lu
2017	J	`jnl`	Continuum Limit of a Mesoscopic Model with Elasticity of Step Motion on Vicinal Surfaces. J. Nonlinear Sci. Yuan Gao, Jian-Guo Liu, Jianfeng Lu
2017	J	`jnl`	Cubic scaling algorithms for RPA correlation using interpolative separable density fitting. J. Comput. Phys. Jianfeng Lu, Kyle Thicke
2017	J	`jnl`	Half-space kinetic equations with general boundary conditions. Math. Comput. Qin Li, Jianfeng Lu, Weiran Sun
2017	J	`jnl`	Orbital minimization method with ℓ J. Comput. Phys. Jianfeng Lu, Kyle Thicke
2017	J	`jnl`	Preconditioning Orbital Minimization Method for Planewave Discretization. Multiscale Model. Simul. Jianfeng Lu, Haizhao Yang
2017	J	`jnl`	Quasi-nonlocal Coupling of Nonlocal Diffusions. SIAM J. Numer. Anal. Xingjie Helen Li, Jianfeng Lu
2017	J	`jnl`	Removal of Canvas Patterns in Digital Acquisitions of Paintings. IEEE Trans. Image Process. Bruno Cornelis, Haizhao Yang, Alex Goodfriend, Noelle Ocon, Jianfeng Lu, Ingrid Daubechies
2017	J	`jnl`	Weak Solution of a Continuum Model For Vicinal Surface in The Attachment-Detachment-Limited Regime. SIAM J. Math. Anal. Yuan Gao, Jian-Guo Liu, Jianfeng Lu
2016	J	`jnl`	Analysis of the divide-and-conquer method for electronic structure calculations. Math. Comput. Jingrun Chen, Jianfeng Lu
2016	J	`jnl`	Gauge-Invariant Frozen Gaussian Approximation Method for the Schrödinger Equation with Periodic Potentials. SIAM J. Sci. Comput. Ricardo Delgadillo, Jianfeng Lu, Xu Yang
2016	J	`jnl`	Localized density matrix minimization and linear-scaling algorithms. J. Comput. Phys. Rongjie Lai, Jianfeng Lu
2016	J	`jnl`	Sparsifying preconditioner for soliton calculations. J. Comput. Phys. Jianfeng Lu, Lexing Ying
2015	Misc	`conf`	Classification of whale vocalizations using the Weyl transform. ICASSP Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank
2015	J	`jnl`	Compression of the electron repulsion integral tensor in tensor hypercontraction format with cubic scaling cost. J. Comput. Phys. Jianfeng Lu, Lexing Ying
2015	J	`jnl`	Crystal Image Analysis Using 2D Synchrosqueezed Transforms. Multiscale Model. Simul. Haizhao Yang, Jianfeng Lu, Lexing Ying
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`	Efficient Rare Event Simulation for Failure Problems in Random Media. SIAM J. Sci. Comput. Jingchen Liu, Jianfeng Lu, Xiang Zhou
2015	J	`jnl`	Numerical scheme for a spatially inhomogeneous matrix-valued quantum Boltzmann equation. J. Comput. Phys. Jianfeng Lu, Christian B. Mendl
2015	J	`jnl`	Orbital-Free Density Functional Theory of Out-of-Plane Charge Screening in Graphene. J. Nonlinear Sci. Jianfeng Lu, Vitaly Moroz, Cyrill B. Muratov
2015	J	`jnl`	Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation. IEEE Signal Process. Mag. Haizhao Yang, Jianfeng Lu, William P. Brown, Ingrid Daubechies, Lexing Ying
2014	J	`jnl`	Analysis of Time Reversible Born-Oppenheimer Molecular Dynamics. Entropy Lin Lin, Jianfeng Lu, Sihong Shao
2014	J	`jnl`	Stability Of A Force-Based Hybrid Method With Planar Sharp Interface. SIAM J. Numer. Anal. Jianfeng Lu, Pingbing Ming
2012	J	`jnl`	Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation. J. Comput. Phys. Lin Lin, Jianfeng Lu, Lexing Ying, Weinan E
2012	J	`jnl`	Frozen Gaussian Approximation for General Linear Strictly Hyperbolic Systems: Formulation and Eulerian Methods. Multiscale Model. Simul. Jianfeng Lu, Xu Yang
2012	J	`jnl`	Optimized local basis set for Kohn-Sham density functional theory. J. Comput. Phys. Lin Lin, Jianfeng Lu, Lexing Ying, Weinan E
2012	J	`jnl`	The Landscape of Complex Networks CoRR Weinan E, Jianfeng Lu, Yuan Yao
2011	J	`jnl`	A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calculations. SIAM J. Sci. Comput. Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Weinan E
2011	J	`jnl`	Fast construction of hierarchical matrix representation from matrix-vector multiplication. J. Comput. Phys. Lin Lin, Jianfeng Lu, Lexing Ying
2011	J	`jnl`	Multiscale modeling. Scholarpedia Weinan E, Jianfeng Lu
2011	J	`jnl`	SelInv - An Algorithm for Selected Inversion of a Sparse Symmetric Matrix. ACM Trans. Math. Softw. Lin Lin, Chao Yang, Juan C. Meza, Jianfeng Lu, Lexing Ying, Weinan E