Jianfeng Lu 鲁剑锋个人学术档案

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	总计	2019 年至今
引用	8838	6569
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Lexing YingProfessor of Mathematics, Stanford University在 stanford.edu 的电子邮件经过验证
Lin LinUniversity of California, Berkeley在 math.berkeley.edu 的电子邮件经过验证
Weinan EProfessor of Mathematics, Princeton University在 math.princeton.edu 的电子邮件经过验证
Ingrid DaubechiesDuke University在 math.duke.edu 的电子邮件经过验证
Yingzhou LiFudan University在 fudan.edu.cn 的电子邮件经过验证
Haizhao YangDepartment of Mathematics, Department of Computer Science, University of Maryland College Park在 umd.edu 的电子邮件经过验证
Yulong LuAssistant Professor at University of Minnesota Twin Cities在 umn.edu 的电子邮件经过验证
QIN LIUniversity of Wisconsin-Madison在 math.wisc.edu 的电子邮件经过验证
Eric Vanden-EijndenCourant Institute of Mathematical Sciences NYU在 nyu.edu 的电子邮件经过验证
Stefan SteinerbergerUniversity of Washington, Seattle在 uw.edu 的电子邮件经过验证
Chao YangLawrence Berkeley National Laboratory在 lbl.gov 的电子邮件经过验证
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
Ziang ChenDepartment of Mathematics, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Yuehaw KhooUniversity of Chicago在 uchicago.edu 的电子邮件经过验证
Jeremy L. MarzuolaProfessor of Mathematics, University of North Carolina at Chapel Hill在 math.unc.edu 的电子邮件经过验证
Xu YangProfessor of Mathematics, University of California, Santa Barbara在 math.ucsb.edu 的电子邮件经过验证
Lihan WangDepartment of Mathematical Sciences, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Hau-Tieng WuCourant Institute of Mathematical Sciences, New York University在 math.duke.edu 的电子邮件经过验证
Zhennan ZhouPeking University在 pku.edu.cn 的电子邮件经过验证
Alexander B WatsonPostdoctoral Associate, University of Minnesota在 umn.edu 的电子邮件经过验证

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Jianfeng Lu 鲁剑锋

Department of Mathematics, Department of Chemistry and Department of Physics, Duke University

在 math.duke.edu 的电子邮件经过验证 - 首页

Applied Mathematics Theoretical Chemistry Computatinoal Physics Materials Science Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool I Daubechies, J Lu, HT Wu Applied and Computational Harmonic Analysis 30 (2), 243-261, 2011	2325	2011
Solving parametric PDE problems with artificial neural networks Y Khoo, J Lu, L Ying European Journal of Applied Mathematics 32 (3), 421-435, 2021	396	2021
Markov state models based on milestoning C Schütte, F Noé, J Lu, M Sarich, E Vanden-Eijnden J. Chem. Phys. 134 (20), 204105, 2011	272	2011
Deep network approximation for smooth functions J Lu, Z Shen, H Yang, S Zhang SIAM Journal on Mathematical Analysis 53 (5), 5465-5506, 2021	253	2021
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions Y Lu, J Lu Advances in Neural Information Processing Systems 33, 2020	168	2020
Solving for high-dimensional committor functions using artificial neural networks Y Khoo, J Lu, L Ying Research in the Mathematical Sciences 6, 1-13, 2019	146	2019
Fast construction of hierarchical matrix representation from matrix–vector multiplication L Lin, J Lu, L Ying Journal of Computational Physics 230 (10), 4071-4087, 2011	140	2011
Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation L Lin, J Lu, L Ying, W E Journal of Computational Physics 231 (4), 2140–2154, 2012	129	2012
Fast algorithm for extracting the diagonal of the inverse matrix with application to the electronic structure analysis of metallic systems L Lin, J Lu, L Ying, R Car, W E Communications in Mathematical Sciences 7 (3), 755-777, 2009	129	2009
SelInv -- An Algorithm for Selected Inversion of a Sparse Symmetric Matrix L Lin, C Yang, JC Meza, J Lu, L Ying, W E ACM Transactions on Mathematical Software (TOMS) 37 (4), 40, 2011	125	2011
Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions H Chen, H Lee, J Lu International Conference on Machine Learning, 4735-4763, 2023	109	2023
Nonexistence of a minimizer for Thomas-Fermi-Dirac-von Weizsäcker model J Lu, F Otto Comm. Pure Appl. Math 67 (10), 1605-1617, 2014	103	2014
A priori generalization analysis of the deep Ritz method for solving high dimensional elliptic partial differential equations Y Lu, J Lu, M Wang Conference on learning theory, 3196-3241, 2021	101*	2021
Convergence for score-based generative modeling with polynomial complexity H Lee, J Lu, Y Tan Advances in Neural Information Processing Systems 35, 22870-22882, 2022	98	2022
ELSI: A unified software interface for Kohn–Sham electronic structure solvers VW Yu, F Corsetti, A García, WP Huhn, M Jacquelin, W Jia, B Lange, L Lin, ... Computer Physics Communications 222, 267-285, 2018	97	2018
Convergence of score-based generative modeling for general data distributions H Lee, J Lu, Y Tan International Conference on Algorithmic Learning Theory, 946-985, 2023	95	2023
Neural collapse under cross-entropy loss J Lu, S Steinerberger Applied and Computational Harmonic Analysis 59, 224-241, 2022	92	2022
Scaling Limit of the Stein Variational Gradient Descent: The Mean Field Regime J Lu, Y Lu, J Nolen SIAM Journal on Mathematical Analysis 51 (2), 648-671, 2019	92	2019
Discontinuous Hamiltonian Monte Carlo for models with discrete parameters and discontinuous likelihoods A Nishimura, D Dunson, J Lu arXiv preprint arXiv:1705.08510, 2017	92*	2017
Compression of the electron repulsion integral tensor in tensor hypercontraction format with cubic scaling cost J Lu, L Ying Journal of Computational Physics 302, 329-335, 2015	92	2015

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