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ORCIDJianfeng 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
![[0000-0001-6834-1539]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6834-1539")
— 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
- 2025
[j86]Luke Triplett, Jianfeng Lu:
Diffusion methods for generating transition paths. J. Comput. Phys. 522: 113590 (2025)- [j85]Yu Cao, Jianfeng Lu:
Structure-Preserving Numerical Schemes for Lindblad Equations. J. Sci. Comput. 102(1): 27 (2025) - 2024
- [j84]Jianfeng Lu, Yue Wu, Yang Xiang:
Score-based transport modeling for mean-field Fokker-Planck equations. J. Comput. Phys. 503: 112859 (2024) - [j83]Shijun Zhang, Jianfeng Lu, Hongkai Zhao:
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions. J. Mach. Learn. Res. 25: 35:1-35:39 (2024) - [j82]Yang Jing, Jiaheng Chen, Lei Li, Jianfeng Lu:
A Machine Learning Framework for Geodesics Under Spherical Wasserstein-Fisher-Rao Metric and Its Application for Weighted Sample Generation. J. Sci. Comput. 98(1): 5 (2024) - [j81]Terry A. Loring, Jianfeng Lu, Alexander B. Watson:
Locality of the windowed local density of states. Numerische Mathematik 156(2): 741-775 (2024) - [j80]Ziang Chen, Jianfeng Lu, Anru Zhang:
One-Dimensional Tensor Network Recovery. SIAM J. Matrix Anal. Appl. 45(3): 1217-1244 (2024) - [j79]Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang:
On the Convergence of Sobolev Gradient Flow for the Gross-Pitaevskii Eigenvalue Problem. SIAM J. Numer. Anal. 62(2): 667-691 (2024) - [j78]Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie:
Convergence of Flow-Based Generative Models via Proximal Gradient Descent in Wasserstein Space. IEEE Trans. Inf. Theory 70(11): 8087-8106 (2024) - [c19]Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu:
What does guidance do? A fine-grained analysis in a simple setting. NeurIPS 2024 - [i66]Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang:
Fully discretized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem. CoRR abs/2403.06028 (2024) - [i65]Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu:
What does guidance do? A fine-grained analysis in a simple setting. CoRR abs/2409.13074 (2024) - [i64]Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng:
Posterior sampling via Langevin dynamics based on generative priors. CoRR abs/2410.02078 (2024) - [i63]Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski:
Towards characterizing the value of edge embeddings in Graph Neural Networks. CoRR abs/2410.09867 (2024) - 2023
- [j77]Mo Zhou, Jianfeng Lu:
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. J. Mach. Learn. Res. 24: 222:1-222:34 (2023) - [j76]Ziang Chen, Yingzhou Li, Jianfeng Lu:
On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization. SIAM J. Optim. 33(2): 713-738 (2023) - [j75]Guillaume Bal, Simon Becker, Alexis Drouot, Clotilde Fermanian Kammerer, Jianfeng Lu, Alexander B. Watson:
Edge State Dynamics Along Curved Interfaces. SIAM J. Math. Anal. 55(5): 4219-4254 (2023) - [c18]Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin:
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. AISTATS 2023: 10732-10781 - [c17]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence of score-based generative modeling for general data distributions. ALT 2023: 946-985 - [c16]Hongrui Chen, Holden Lee, Jianfeng Lu:
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions. ICML 2023: 4735-4763 - [c15]Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski:
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective. ICML 2023: 24139-24172 - [c14]Shijun Zhang, Jianfeng Lu, Hongkai Zhao:
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network. ICML 2023: 41452-41487 - [c13]Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim:
The probability flow ODE is provably fast. NeurIPS 2023 - [c12]Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Deep Equilibrium Based Neural Operators for Steady-State PDEs. NeurIPS 2023 - [i62]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) - [i61]Shijun Zhang, Jianfeng Lu, Hongkai Zhao:
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network. CoRR abs/2301.12353 (2023) - [i60]Mo Zhou, Jianfeng Lu:
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee. CoRR abs/2302.05816 (2023) - [i59]Jing An, Jianfeng Lu:
Convergence of stochastic gradient descent under a local Lajasiewicz condition for deep neural networks. CoRR abs/2304.09221 (2023) - [i58]Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim:
The probability flow ODE is provably fast. CoRR abs/2305.11798 (2023) - [i57]Bowen Li, Jianfeng Lu:
Quantum variational embedding for ground-state energy problems: sum of squares and cluster selection. CoRR abs/2305.18571 (2023) - [i56]Shijun Zhang, Jianfeng Lu, Hongkai Zhao:
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions. CoRR abs/2307.06555 (2023) - [i55]Tianmin Yu, Shixin Zheng, Jianfeng Lu, Govind Menon, Xiangxiong Zhang:
Riemannian Langevin Monte Carlo schemes for sampling PSD matrices with fixed rank. CoRR abs/2309.04072 (2023) - [i54]Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie:
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space. CoRR abs/2310.17582 (2023) - [i53]Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Deep Equilibrium Based Neural Operators for Steady-State PDEs. CoRR abs/2312.00234 (2023) - 2022
- [j74]Zhenning Cai, Jianfeng Lu, Siyao Yang:
Fast algorithms of bath calculations in simulations of quantum system-bath dynamics. Comput. Phys. Commun. 278: 108417 (2022) - [j73]Michael J. 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) - [j72]Jianfeng Lu, Cody Murphey, Stefan Steinerberger:
Fast Localization of Eigenfunctions via Smoothed Potentials. J. Sci. Comput. 90(1): 38 (2022) - [j71]Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Manifold Learning and Nonlinear Homogenization. Multiscale Model. Simul. 20(3): 1093-1126 (2022) - [j70]Zhenning Cai, Jianfeng Lu, Siyao Yang:
Numerical analysis for inchworm Monte Carlo method: Sign problem and error growth. Math. Comput. 92(341): 1141-1209 (2022) - [j69]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) - [j68]Jianfeng Lu, Lihan Wang:
Complexity of zigzag sampling algorithm for strongly log-concave distributions. Stat. Comput. 32(3): 48 (2022) - [j67]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 - [i52]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) - [i51]Mo Zhou, Jianfeng Lu:
Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. CoRR abs/2202.00048 (2022) - [i50]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) - [i49]Jianfeng Lu, Min Wang:
Neural Network Based Variational Methods for Solving Quadratic Porous Medium Equations in High Dimensions. CoRR abs/2205.02927 (2022) - [i48]Bowen Li, Jianfeng Lu, Ziang Yu:
Vector-wise Joint Diagonalization of Almost Commuting Matrices. CoRR abs/2205.15519 (2022) - [i47]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence for score-based generative modeling with polynomial complexity. CoRR abs/2206.06227 (2022) - [i46]Ziang Chen, Jianfeng Lu, Anru R. Zhang:
One-dimensional Tensor Network Recovery. CoRR abs/2207.10665 (2022) - [i45]Yang Jing, Jiaheng Chen, Lei Li, Jianfeng Lu:
A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation. CoRR abs/2208.12145 (2022) - [i44]Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin:
On Representing Linear Programs by Graph Neural Networks. CoRR abs/2209.12288 (2022) - [i43]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence of score-based generative modeling for general data distributions. CoRR abs/2209.12381 (2022) - [i42]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) - [i41]Tanya Marwah, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Neural Network Approximations of PDEs Beyond Linearity: Representational Perspective. CoRR abs/2210.12101 (2022) - [i40]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
- [j66]Jianfeng Lu, Felix Otto:
Optimal Artificial Boundary Condition for Random Elliptic Media. Found. Comput. Math. 21(6): 1643-1702 (2021) - [j65]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) - [j64]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) - [j63]Yuehaw Khoo, Jianfeng Lu, Lexing Ying:
Efficient Construction of Tensor Ring Representations from Sampling. Multiscale Model. Simul. 19(3): 1261-1284 (2021) - [j62]Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation for Smooth Functions. SIAM J. Math. Anal. 53(5): 5465-5506 (2021) - [j61]Kyle Thicke, Alexander B. Watson, Jianfeng Lu:
Computing Edge States without Hard Truncation. SIAM J. Sci. Comput. 43(2): B323-B353 (2021) - [j60]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 - [i39]Ziang Chen, Yingzhou Li, Jianfeng Lu:
On the global convergence of randomized coordinate gradient descent for non-convex optimization. CoRR abs/2101.01323 (2021) - [i38]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) - [i37]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) - [i36]Yu Cao, Jianfeng Lu:
Structure-preserving numerical schemes for Lindblad equations. CoRR abs/2103.01194 (2021) - [i35]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) - [i34]Ziang Chen, Jianfeng Lu, Yulong Lu:
On the Representation of Solutions to Elliptic PDEs in Barron Spaces. CoRR abs/2106.07539 (2021) - [i33]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) - [i32]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) - [i31]Ke Chen, Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Low-rank approximation for multiscale PDEs. CoRR abs/2111.12904 (2021) - 2020
- [j59]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) - [j58]Yingzhou Li, Jianfeng Lu, Anqi Mao:
Variational training of neural network approximations of solution maps for physical models. J. Comput. Phys. 409: 109338 (2020) - [j57]Wuchen Li, Jianfeng Lu, Li Wang:
Fisher information regularization schemes for Wasserstein gradient flows. J. Comput. Phys. 416: 109449 (2020) - [j56]Jianfeng Lu, Yulong Lu, Zhennan Zhou:
Continuum limit and preconditioned Langevin sampling of the path integral molecular dynamics. J. Comput. Phys. 423: 109788 (2020) - [j55]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) - [j54]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) - [j53]Jianfeng Lu, Alexander B. Watson, Michael I. Weinstein:
Dirac Operators and Domain Walls. SIAM J. Math. Anal. 52(2): 1115-1145 (2020) - [j52]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) - [j51]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) - [j50]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 A. 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] - [i30]Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu, Stefan Steinerberger:
Non-Convex Planar Harmonic Maps. CoRR abs/2001.01322 (2020) - [i29]Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation for Smooth Functions. CoRR abs/2001.03040 (2020) - [i28]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) - [i27]Zhiyan Ding, Qin Li, Jianfeng Lu:
Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds. CoRR abs/2003.02316 (2020) - [i26]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) - [i25]Yu Cao, Jianfeng Lu, Lihan Wang:
Complexity of randomized algorithms for underdamped Langevin dynamics. CoRR abs/2003.09906 (2020) - [i24]Yulong Lu, Jianfeng Lu:
A Universal Approximation Theorem of Deep Neural Networks for Expressing Distributions. CoRR abs/2004.08867 (2020) - [i23]Zhenning Cai, Jianfeng Lu, Siyao Yang:
Numerical analysis for inchworm Monte Carlo method: Sign problem and error growth. CoRR abs/2006.07654 (2020) - [i22]Cheng Cheng, Ingrid Daubechies, Nadav Dym, Jianfeng Lu:
Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements. CoRR abs/2006.11709 (2020) - [i21]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) - [i20]Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski:
Efficient sampling from the Bingham distribution. CoRR abs/2010.00137 (2020) - [i19]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Langevin Monte Carlo. CoRR abs/2010.01405 (2020) - [i18]Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright:
Random Coordinate Underdamped Langevin Monte Carlo. CoRR abs/2010.11366 (2020) - [i17]Jianfeng Lu, Cody Murphey, Stefan Steinerberger:
Fast localization of eigenfunctions via smoothed potentials. CoRR abs/2010.15062 (2020) - [i16]Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Manifold Learning and Nonlinear Homogenization. CoRR abs/2011.00568 (2020) - [i15]Jianfeng Lu, Stefan Steinerberger:
Neural Collapse with Cross-Entropy Loss. CoRR abs/2012.08465 (2020) - [i14]Jianfeng Lu, Lihan Wang:
Complexity of zigzag sampling algorithm for strongly log-concave distributions. CoRR abs/2012.11094 (2020)
2010 – 2019
- 2019
- [j49]Lin Lin, Jianfeng Lu, Lexing Ying:
Numerical methods for Kohn-Sham density functional theory. Acta Numer. 28: 405-539 (2019) - [j48]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) - [j47]Ludwig Gauckler, Jianfeng Lu, Jeremy Louis Marzuola, Frederic Rousset, Katharina Schratz:
Trigonometric integrators for quasilinear wave equations. Math. Comput. 88(316): 717-749 (2019) - [j46]Yu Cao, Jianfeng Lu:
Tensorization of the strong data processing inequality for quantum chi-square divergences. Quantum 3: 199 (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) - [i13]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) - [i12]Yu Cao, Jianfeng Lu:
Tensorization of the strong data processing inequality for quantum chi-square divergences. CoRR abs/1904.06562 (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]Rongjie Lai, Jianfeng Lu:
Localized density matrix minimization and linear-scaling algorithms. J. Comput. Phys. 315: 194-210 (2016) - [j19]Jianfeng Lu, Lexing Ying:
Sparsifying preconditioner for soliton calculations. J. Comput. Phys. 315: 458-466 (2016) - [j18]Jingrun Chen, Jianfeng Lu:
Analysis of the divide-and-conquer method for electronic structure calculations. Math. Comput. 85(302): 2919-2938 (2016) - [j17]Ricardo Delgadillo, Jianfeng Lu, Xu Yang:
Gauge-Invariant Frozen Gaussian Approximation Method for the Schrödinger Equation with Periodic Potentials. SIAM J. Sci. Comput. 38(4) (2016) - 2015
- [j16]Jianfeng Lu, Christian B. Mendl:
Numerical scheme for a spatially inhomogeneous matrix-valued quantum Boltzmann equation. J. Comput. Phys. 291: 303-316 (2015) - [j15]Qin Li, Jianfeng Lu, Weiran Sun:
Diffusion approximations and domain decomposition method of linear transport equations: Asymptotics and numerics. J. Comput. Phys. 292: 141-167 (2015) - [j14]Jianfeng Lu, Lexing Ying:
Compression of the electron repulsion integral tensor in tensor hypercontraction format with cubic scaling cost. J. Comput. Phys. 302: 329-335 (2015) - [j13]Jianfeng Lu, Vitaly Moroz, Cyrill B. Muratov:
Orbital-Free Density Functional Theory of Out-of-Plane Charge Screening in Graphene. J. Nonlinear Sci. 25(6): 1391-1430 (2015) - [j12]Haizhao Yang, Jianfeng Lu, Lexing Ying:
Crystal Image Analysis Using 2D Synchrosqueezed Transforms. Multiscale Model. Simul. 13(4): 1542-1572 (2015) - [j11]Jingchen Liu, Jianfeng Lu, Xiang Zhou:
Efficient Rare Event Simulation for Failure Problems in Random Media. SIAM J. Sci. Comput. 37(2) (2015) - [j10]Haizhao Yang, Jianfeng Lu, William P. Brown, Ingrid Daubechies, Lexing Ying:
Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation. IEEE Signal Process. Mag. 32(4): 55-63 (2015) - [c1]Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank:
Classification of whale vocalizations using the Weyl transform. ICASSP 2015: 773-777 - 2014
- [j9]Lin Lin, Jianfeng Lu, Sihong Shao:
Analysis of Time Reversible Born-Oppenheimer Molecular Dynamics. Entropy 16(1): 110-137 (2014) - [j8]Jianfeng Lu, Pingbing Ming:
Stability Of A Force-Based Hybrid Method With Planar Sharp Interface. SIAM J. Numer. Anal. 52(4): 2005-2026 (2014) - 2012
- [j7]Lin Lin, Jianfeng Lu, Lexing Ying, Weinan E:
Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation. J. Comput. Phys. 231(4): 2140-2154 (2012) - [j6]Lin Lin, Jianfeng Lu, Lexing Ying, Weinan E:
Optimized local basis set for Kohn-Sham density functional theory. J. Comput. Phys. 231(13): 4515-4529 (2012) - [j5]Jianfeng Lu, Xu Yang:
Frozen Gaussian Approximation for General Linear Strictly Hyperbolic Systems: Formulation and Eulerian Methods. Multiscale Model. Simul. 10(2): 451-472 (2012) - [i1]Weinan E, Jianfeng Lu, Yuan Yao:
The Landscape of Complex Networks. CoRR abs/1204.6376 (2012) - 2011
- [j4]Lin Lin, Jianfeng Lu, Lexing Ying:
Fast construction of hierarchical matrix representation from matrix-vector multiplication. J. Comput. Phys. 230(10): 4071-4087 (2011) - [j3]Weinan E, Jianfeng Lu:
Multiscale modeling. Scholarpedia 6(10): 11527 (2011) - [j2]Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Weinan E:
A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calculations. SIAM J. Sci. Comput. 33(3): 1329-1351 (2011) - [j1]Lin Lin, Chao Yang, Juan C. Meza, Jianfeng Lu, Lexing Ying, Weinan E:
SelInv - An Algorithm for Selected Inversion of a Sparse Symmetric Matrix. ACM Trans. Math. Softw. 37(4): 40:1-40:19 (2011)
Coauthor Index
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