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Jianfeng Lu 0001
鲁剑锋
Person information

- unicode name: 鲁剑锋
- affiliation: Duke University, Durham, NC, USA
- affiliation (former): New York University, Department of Mathematics, NY, USA
Other persons with the same name
- Jianfeng Lu — disambiguation page
- Jianfeng Lu 0002
— Zhejiang Normal University, Department of Computer Science and Engineering, Jinhua, China
- Jianfeng Lu 0003
— Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Jianfeng Lu 0004
— Tongji University, CIMS Research Center, Shanghai, China
- Jianfeng Lu 0005
— Hangzhou Dianzi University, School of Computer Science and Technology, China
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2020 – today
- 2023
- [c12]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence of score-based generative modeling for general data distributions. ALT 2023: 946-985 - [i54]Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang:
On the convergence of Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem. CoRR abs/2301.09818 (2023) - [i53]Shijun Zhang, Jianfeng Lu, Hongkai Zhao:
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network. CoRR abs/2301.12353 (2023) - [i52]Mo Zhou, Jianfeng Lu:
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee. CoRR abs/2302.05816 (2023) - [i51]Jing An, Jianfeng Lu:
Convergence of stochastic gradient descent under a local Lajasiewicz condition for deep neural networks. CoRR abs/2304.09221 (2023) - [i50]Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim:
The probability flow ODE is provably fast. CoRR abs/2305.11798 (2023) - 2022
- [j72]Zhenning Cai, Jianfeng Lu
, Siyao Yang
:
Fast algorithms of bath calculations in simulations of quantum system-bath dynamics. Comput. Phys. Commun. 278: 108417 (2022) - [j71]Michael Holst, Houdong Hu, Jianfeng Lu
, Jeremy Louis Marzuola
, Duo Song
, Jonathan Weare:
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. 32(6): 89 (2022) - [j70]Jianfeng Lu
, Cody Murphey, Stefan Steinerberger
:
Fast Localization of Eigenfunctions via Smoothed Potentials. J. Sci. Comput. 90(1): 38 (2022) - [j69]Shi Chen
, Qin Li
, Jianfeng Lu
, Stephen J. Wright
:
Manifold Learning and Nonlinear Homogenization. Multiscale Model. Simul. 20(3): 1093-1126 (2022) - [j68]Katy Craig, Jian-Guo Liu, Jianfeng Lu
, Jeremy Louis Marzuola, Li Wang:
A proximal-gradient algorithm for crystal surface evolution. Numerische Mathematik 152(3): 631-662 (2022) - [j67]Jianfeng Lu
, Lihan Wang
:
Complexity of zigzag sampling algorithm for strongly log-concave distributions. Stat. Comput. 32(3): 48 (2022) - [j66]Jianfeng Lu
, Jeremy Louis Marzuola, Alexander B. Watson
:
Defect Resonances of Truncated Crystal Structures. SIAM J. Appl. Math. 82(1): 49-74 (2022) - [c11]Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet:
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. ICLR 2022 - [c10]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence for score-based generative modeling with polynomial complexity. NeurIPS 2022 - [i49]Ziang Chen, Jianfeng Lu, Yulong Lu, Shengxuan Zhou:
A Regularity Theory for Static Schrödinger Equations on Rd in Spectral Barron Spaces. CoRR abs/2201.10072 (2022) - [i48]Mo Zhou, Jianfeng Lu:
Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. CoRR abs/2202.00048 (2022) - [i47]Zhenning Cai, Di Fang, Jianfeng Lu:
Asymptotic analysis of diabatic surface hopping algorithm in the adiabatic and non-adiabatic limits. CoRR abs/2205.02312 (2022) - [i46]Jianfeng Lu, Min Wang:
Neural Network Based Variational Methods for Solving Quadratic Porous Medium Equations in High Dimensions. CoRR abs/2205.02927 (2022) - [i45]Bowen Li, Jianfeng Lu, Ziang Yu:
Vector-wise Joint Diagonalization of Almost Commuting Matrices. CoRR abs/2205.15519 (2022) - [i44]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence for score-based generative modeling with polynomial complexity. CoRR abs/2206.06227 (2022) - [i43]Ziang Chen, Jianfeng Lu, Anru R. Zhang:
One-dimensional Tensor Network Recovery. CoRR abs/2207.10665 (2022) - [i42]Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin:
On Representing Linear Programs by Graph Neural Networks. CoRR abs/2209.12288 (2022) - [i41]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence of score-based generative modeling for general data distributions. CoRR abs/2209.12381 (2022) - [i40]Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin:
On Representing Mixed-Integer Linear Programs by Graph Neural Networks. CoRR abs/2210.10759 (2022) - [i39]Tanya Marwah, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Neural Network Approximations of PDEs Beyond Linearity: Representational Perspective. CoRR abs/2210.12101 (2022) - [i38]Hongrui Chen, Holden Lee, Jianfeng Lu:
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions. CoRR abs/2211.01916 (2022) - 2021
- [j65]Jianfeng Lu
, Felix Otto:
Optimal Artificial Boundary Condition for Random Elliptic Media. Found. Comput. Math. 21(6): 1643-1702 (2021) - [j64]Dong An, Sara Y. Cheng
, Teresa Head-Gordon, Lin Lin
, Jianfeng Lu
:
Convergence of stochastic-extended Lagrangian molecular dynamics method for polarizable force field simulation. J. Comput. Phys. 438: 110338 (2021) - [j63]Ke Chen
, Qin Li
, Jianfeng Lu
, Stephen J. Wright
:
A Low-Rank Schwarz Method for Radiative Transfer Equation With Heterogeneous Scattering Coefficient. Multiscale Model. Simul. 19(2): 775-801 (2021) - [j62]Yuehaw Khoo
, Jianfeng Lu
, Lexing Ying:
Efficient Construction of Tensor Ring Representations from Sampling. Multiscale Model. Simul. 19(3): 1261-1284 (2021) - [j61]Jianfeng Lu
, Zuowei Shen
, Haizhao Yang
, Shijun Zhang
:
Deep Network Approximation for Smooth Functions. SIAM J. Math. Anal. 53(5): 5465-5506 (2021) - [j60]Kyle Thicke
, Alexander B. Watson
, Jianfeng Lu
:
Computing Edge States without Hard Truncation. SIAM J. Sci. Comput. 43(2): B323-B353 (2021) - [j59]Mo Zhou
, Jiequn Han
, Jianfeng Lu
:
Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. SIAM J. Sci. Comput. 43(6): A4043-A4066 (2021) - [c9]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Underdamped Langevin Monte Carlo. AISTATS 2021: 2701-2709 - [c8]Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski:
Efficient sampling from the Bingham distribution. ALT 2021: 673-685 - [c7]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Langevin Monte Carlo. COLT 2021: 1683-1710 - [c6]Yulong Lu, Jianfeng Lu, Min Wang:
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations. COLT 2021: 3196-3241 - [c5]Ziang Chen, Jianfeng Lu, Yulong Lu:
On the Representation of Solutions to Elliptic PDEs in Barron Spaces. NeurIPS 2021: 6454-6465 - [i37]Ziang Chen, Yingzhou Li, Jianfeng Lu:
On the global convergence of randomized coordinate gradient descent for non-convex optimization. CoRR abs/2101.01323 (2021) - [i36]Jianfeng Lu, Yulong Lu, Min Wang:
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations. CoRR abs/2101.01708 (2021) - [i35]Mo Zhou, Jiequn Han, Jianfeng Lu:
Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. CoRR abs/2102.11379 (2021) - [i34]Jianfeng Lu, Yulong Lu:
A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems. CoRR abs/2105.01228 (2021) - [i33]Ziang Chen, Jianfeng Lu, Yulong Lu:
On the Representation of Solutions to Elliptic PDEs in Barron Spaces. CoRR abs/2106.07539 (2021) - [i32]Jianfeng Lu, Felix Otto, Lihan Wang
:
Optimal artificial boundary conditions based on second-order correctors for three dimensional random elliptic media. CoRR abs/2109.01616 (2021) - [i31]Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet:
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. CoRR abs/2110.06897 (2021) - [i30]Ke Chen, Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Low-rank approximation for multiscale PDEs. CoRR abs/2111.12904 (2021) - 2020
- [j58]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
:
ELSI - An open infrastructure for electronic structure solvers. Comput. Phys. Commun. 256: 107459 (2020) - [j57]Yingzhou Li
, Jianfeng Lu
, Anqi Mao:
Variational training of neural network approximations of solution maps for physical models. J. Comput. Phys. 409: 109338 (2020) - [j56]Wuchen Li
, Jianfeng Lu
, Li Wang
:
Fisher information regularization schemes for Wasserstein gradient flows. J. Comput. Phys. 416: 109449 (2020) - [j55]Jianfeng Lu
, Yulong Lu
, Zhennan Zhou
:
Continuum limit and preconditioned Langevin sampling of the path integral molecular dynamics. J. Comput. Phys. 423: 109788 (2020) - [j54]Jiequn Han
, Jianfeng Lu
, Mo Zhou:
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. J. Comput. Phys. 423: 109792 (2020) - [j53]Ke Chen
, Qin Li
, Jianfeng Lu
, Stephen J. Wright
:
Randomized Sampling for Basis Function Construction in Generalized Finite Element Methods. Multiscale Model. Simul. 18(2): 1153-1177 (2020) - [j52]Jianfeng Lu
, Alexander B. Watson
, Michael I. Weinstein:
Dirac Operators and Domain Walls. SIAM J. Math. Anal. 52(2): 1115-1145 (2020) - [j51]Ziang Chen, Yingzhou Li
, Jianfeng Lu
:
Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares. SIAM J. Matrix Anal. Appl. 41(3): 1416-1442 (2020) - [j50]Jianfeng Lu
, Zhe Wang
:
The Full Configuration Interaction Quantum Monte Carlo Method through the Lens of Inexact Power Iteration. SIAM J. Sci. Comput. 42(1): B1-B29 (2020) - [j49]Ke Chen
, Qin Li
, Jianfeng Lu
, Stephen J. Wright
:
Random Sampling and Efficient Algorithms for Multiscale PDEs. SIAM J. Sci. Comput. 42(5): A2974-A3005 (2020) - [c4]Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying:
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth. ICML 2020: 6426-6436 - [c3]Yulong Lu, Jianfeng Lu:
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions. NeurIPS 2020 - [c2]Rong Ge, Holden Lee, Jianfeng Lu
:
Estimating normalizing constants for log-concave distributions: algorithms and lower bounds. STOC 2020: 579-586 - [e1]Jianfeng Lu, Rachel Ward:
Proceedings of Mathematical and Scientific Machine Learning, MSML 2020, 20-24 July 2020, Virtual Conference / Princeton, NJ, USA. Proceedings of Machine Learning Research 107, PMLR 2020 [contents] - [i29]Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu, Stefan Steinerberger:
Non-Convex Planar Harmonic Maps. CoRR abs/2001.01322 (2020) - [i28]Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
:
Deep Network Approximation for Smooth Functions. CoRR abs/2001.03040 (2020) - [i27]Jiequn Han, Jianfeng Lu, Mo Zhou:
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. CoRR abs/2002.02600 (2020) - [i26]Zhiyan Ding, Qin Li, Jianfeng Lu:
Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds. CoRR abs/2003.02316 (2020) - [i25]Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying:
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth. CoRR abs/2003.05508 (2020) - [i24]Yu Cao
, Jianfeng Lu, Lihan Wang
:
Complexity of randomized algorithms for underdamped Langevin dynamics. CoRR abs/2003.09906 (2020) - [i23]Yulong Lu, Jianfeng Lu:
A Universal Approximation Theorem of Deep Neural Networks for Expressing Distributions. CoRR abs/2004.08867 (2020) - [i22]Zhenning Cai, Jianfeng Lu, Siyao Yang:
Numerical analysis for inchworm Monte Carlo method: Sign problem and error growth. CoRR abs/2006.07654 (2020) - [i21]Cheng Cheng, Ingrid Daubechies, Nadav Dym, Jianfeng Lu:
Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements. CoRR abs/2006.11709 (2020) - [i20]Katy Craig, Jian-Guo Liu, Jianfeng Lu, Jeremy Louis Marzuola, Li Wang:
A Proximal-Gradient Algorithm for Crystal Surface Evolution. CoRR abs/2006.12528 (2020) - [i19]Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski:
Efficient sampling from the Bingham distribution. CoRR abs/2010.00137 (2020) - [i18]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Langevin Monte Carlo. CoRR abs/2010.01405 (2020) - [i17]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Underdamped Langevin Monte Carlo. CoRR abs/2010.11366 (2020) - [i16]Jianfeng Lu, Cody Murphey, Stefan Steinerberger:
Fast localization of eigenfunctions via smoothed potentials. CoRR abs/2010.15062 (2020) - [i15]Shi Chen
, Qin Li, Jianfeng Lu, Stephen J. Wright:
Manifold Learning and Nonlinear Homogenization. CoRR abs/2011.00568 (2020) - [i14]Jianfeng Lu, Stefan Steinerberger:
Neural Collapse with Cross-Entropy Loss. CoRR abs/2012.08465 (2020) - [i13]Jianfeng Lu, Lihan Wang
:
Complexity of zigzag sampling algorithm for strongly log-concave distributions. CoRR abs/2012.11094 (2020)
2010 – 2019
- 2019
- [j48]Lin Lin, Jianfeng Lu
, Lexing Ying:
Numerical methods for Kohn-Sham density functional theory. Acta Numer. 28: 405-539 (2019) - [j47]Hongxu Chen, Qin Li
, Jianfeng Lu
:
A numerical method for coupling the BGK model and Euler equations through the linearized Knudsen layer. J. Comput. Phys. 398 (2019) - [j46]Ludwig Gauckler, Jianfeng Lu
, Jeremy Louis Marzuola, Frederic Rousset, Katharina Schratz:
Trigonometric integrators for quasilinear wave equations. Math. Comput. 88(316): 717-749 (2019) - [j45]Jianfeng Lu
, Yulong Lu
, James Nolen:
Scaling Limit of the Stein Variational Gradient Descent: The Mean Field Regime. SIAM J. Math. Anal. 51(2): 648-671 (2019) - [j44]Yingzhou Li
, Jianfeng Lu
, Zhe Wang
:
CoordinateWise Descent Methods for Leading Eigenvalue Problem. SIAM J. Sci. Comput. 41(4): A2681-A2716 (2019) - [j43]Wei Zhu
, Qiang Qiu, Bao Wang, Jianfeng Lu
, Guillermo Sapiro, Ingrid Daubechies:
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1(3): 476-496 (2019) - [i12]Lei Li, Jian-Guo Liu, Zibu Liu, Jianfeng Lu:
A stochastic version of Stein Variational Gradient Descent for efficient sampling. CoRR abs/1902.03394 (2019) - [i11]Yingzhou Li, Jianfeng Lu, Anqi Mao:
Variational training of neural network approximations of solution maps for physical models. CoRR abs/1905.02789 (2019) - [i10]Yulong Lu, Jianfeng Lu, James Nolen:
Accelerating Langevin Sampling with Birth-death. CoRR abs/1905.09863 (2019) - [i9]Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient. CoRR abs/1906.02176 (2019) - [i8]Wuchen Li, Jianfeng Lu, Li Wang:
Fisher information regularization schemes for Wasserstein gradient flows. CoRR abs/1907.02152 (2019) - [i7]Rong Ge, Holden Lee, Jianfeng Lu:
Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds. CoRR abs/1911.03043 (2019) - [i6]Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang:
Universal approximation of symmetric and anti-symmetric functions. CoRR abs/1912.01765 (2019) - 2018
- [j42]Ricardo Delgadillo, Jianfeng Lu
, Xu Yang:
Frozen Gaussian approximation for high frequency wave propagation in periodic media. Asymptot. Anal. 110(3-4): 113-135 (2018) - [j41]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
:
ELSI: A unified software interface for Kohn-Sham electronic structure solvers. Comput. Phys. Commun. 222: 267-285 (2018) - [j40]Yu Cao
, Jianfeng Lu
:
Stochastic dynamical low-rank approximation method. J. Comput. Phys. 372: 564-586 (2018) - [j39]Yufang Huang, Jianfeng Lu
, Pingbing Ming:
A Concurrent Global-Local Numerical Method for Multiscale PDEs. J. Sci. Comput. 76(2): 1188-1215 (2018) - [j38]Rongjie Lai
, Jianfeng Lu
:
Point Cloud Discretization of Fokker-Planck Operators for Committor Functions. Multiscale Model. Simul. 16(2): 710-726 (2018) - [j37]Di Fang, Jianfeng Lu
:
A Diabatic Surface Hopping Algorithm Based on Time Dependent Perturbation Theory and Semiclassical Analysis. Multiscale Model. Simul. 16(4): 1603-1622 (2018) - [j36]Jianfeng Lu
, Konstantinos Spiliopoulos:
Analysis of Multiscale Integrators for Multiple Attractors and Irreversible Langevin Samplers. Multiscale Model. Simul. 16(4): 1859-1883 (2018) - [j35]Jianfeng Lu
, Zhennan Zhou:
Frozen Gaussian approximation with surface hopping for mixed quantum-classical dynamics: A mathematical justification of fewest switches surface hopping algorithms. Math. Comput. 87(313): 2189-2232 (2018) - [j34]Jianfeng Lu
, Haizhao Yang
:
Phase-Space Sketching for Crystal Image Analysis Based on Synchrosqueezed Transforms. SIAM J. Imaging Sci. 11(3): 1954-1978 (2018) - [j33]Qiang Du
, Xingjie Helen Li, Jianfeng Lu
, Xiaochuan Tian:
A Quasi-nonlocal Coupling Method for Nonlocal and Local Diffusion Models. SIAM J. Numer. Anal. 56(3): 1386-1404 (2018) - [j32]Zhenning Cai, Jianfeng Lu
:
A Quantum Kinetic Monte Carlo Method for Quantum Many-Body Spin Dynamics. SIAM J. Sci. Comput. 40(3) (2018) - [j31]Zhenning Cai, Jianfeng Lu
:
A Surface Hopping Gaussian Beam Method for High-Dimensional Transport Systems. SIAM J. Sci. Comput. 40(5): B1277-B1301 (2018) - [i5]Yuehaw Khoo, Jianfeng Lu, Lexing Ying:
Solving for high dimensional committor functions using artificial neural networks. CoRR abs/1802.10275 (2018) - [i4]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR abs/1805.07291 (2018) - [i3]Yingzhou Li, Xiuyuan Cheng, Jianfeng Lu:
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks. CoRR abs/1805.07451 (2018) - [i2]Jing An, Jianfeng Lu, Lexing Ying:
Stochastic modified equations for the asynchronous stochastic gradient descent. CoRR abs/1805.08244 (2018) - 2017
- [j30]Jianfeng Lu
, Kyle Thicke
:
Orbital minimization method with ℓ1 regularization. J. Comput. Phys. 336: 87-103 (2017) - [j29]Jianfeng Lu
, Haizhao Yang
:
A cubic scaling algorithm for excited states calculations in particle-particle random phase approximation. J. Comput. Phys. 340: 297-308 (2017) - [j28]Jianfeng Lu
, Kyle Thicke
:
Cubic scaling algorithms for RPA correlation using interpolative separable density fitting. J. Comput. Phys. 351: 187-202 (2017) - [j27]Yuan Gao
, Jian-Guo Liu
, Jianfeng Lu
:
Continuum Limit of a Mesoscopic Model with Elasticity of Step Motion on Vicinal Surfaces. J. Nonlinear Sci. 27(3): 873-926 (2017) - [j26]Jianfeng Lu
, Haizhao Yang:
Preconditioning Orbital Minimization Method for Planewave Discretization. Multiscale Model. Simul. 15(1): 254-273 (2017) - [j25]Qin Li
, Jianfeng Lu
:
An Asymptotic Preserving Method for Transport Equations with Oscillatory Scattering Coefficients. Multiscale Model. Simul. 15(4): 1694-1718 (2017) - [j24]Qin Li
, Jianfeng Lu
, Weiran Sun:
Half-space kinetic equations with general boundary conditions. Math. Comput. 86(305): 1269-1301 (2017) - [j23]Yuan Gao
, Jian-Guo Liu
, Jianfeng Lu
:
Weak Solution of a Continuum Model For Vicinal Surface in The Attachment-Detachment-Limited Regime. SIAM J. Math. Anal. 49(3): 1705-1731 (2017) - [j22]Xingjie Helen Li, Jianfeng Lu
:
Quasi-nonlocal Coupling of Nonlocal Diffusions. SIAM J. Numer. Anal. 55(5): 2394-2415 (2017) - [j21]Bruno Cornelis, Haizhao Yang
, Alex Goodfriend, Noelle Ocon, Jianfeng Lu
, Ingrid Daubechies:
Removal of Canvas Patterns in Digital Acquisitions of Paintings. IEEE Trans. Image Process. 26(1): 160-171 (2017) - 2016
- [j20]