Jianfeng Lu 鲁剑锋

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	Wszystkie	Od 2018
Cytowania	6776	5089
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i10-indeks	128	111

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Lexing YingProfessor of Mathematics, Stanford UniversityZweryfikowany adres z stanford.edu
Lin LinUniversity of California, BerkeleyZweryfikowany adres z math.berkeley.edu
Weinan EProfessor of Mathematics, Princeton UniversityZweryfikowany adres z math.princeton.edu
Ingrid DaubechiesDuke UniversityZweryfikowany adres z math.duke.edu
Haizhao YangDepartment of Mathematics, Department of Computer Science, University of Maryland College ParkZweryfikowany adres z umd.edu
Yingzhou LiFudan UniversityZweryfikowany adres z fudan.edu.cn
Yulong LuAssistant Professor at University of Massachusetts AmherstZweryfikowany adres z math.umass.edu
QIN LIUniversity of Wisconsin-MadisonZweryfikowany adres z math.wisc.edu
Eric Vanden-EijndenCourant Institute of Mathematical Sciences NYUZweryfikowany adres z nyu.edu
Stefan SteinerbergerUniversity of Washington, SeattleZweryfikowany adres z uw.edu
Yuehaw KhooUniversity of ChicagoZweryfikowany adres z uchicago.edu
Jeremy L. MarzuolaProfessor of Mathematics, University of North Carolina at Chapel HillZweryfikowany adres z math.unc.edu
Xu YangProfessor of Mathematics, University of California, Santa BarbaraZweryfikowany adres z math.ucsb.edu
Hau-Tieng WuDepartment of Mathematics and Department of Statistical Science, Duke UniversityZweryfikowany adres z math.duke.edu
Lihan WangDepartment of Mathematical Sciences, Carnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Ziang ChenDepartment of Mathematics, Duke UniversityZweryfikowany adres z math.duke.edu
Zhennan ZhouPeking UniversityZweryfikowany adres z pku.edu.cn
Alexander B WatsonPostdoctoral Associate, University of MinnesotaZweryfikowany adres z umn.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinZweryfikowany adres z cs.wisc.edu
Volker BlumAssociate Professor, MEMS Department - Duke University, Durham, NCZweryfikowany adres z duke.edu

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Jianfeng Lu 鲁剑锋

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

Zweryfikowany adres z math.duke.edu - Strona główna

Applied Mathematics Theoretical Chemistry Computatinoal Physics Materials Science Machine Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	1953	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	290	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	252	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	142	2021
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	122	2012
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	119	2011
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	118	2011
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	118	2009
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	110	2019
Nonexistence of a minimizer for Thomas-Fermi-Dirac-von Weizsäcker model J Lu, F Otto Comm. Pure Appl. Math 67 (10), 1605-1617, 2014	92	2014
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions Y Lu, J Lu Advances in Neural Information Processing Systems 33, 2020	84	2020
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	81	2018
A variational perspective on cloaking by anomalous localized resonance RV Kohn, J Lu, B Schweizer, MI Weinstein Communications in Mathematical Physics 328 (1), 1-27, 2014	80	2014
Discontinuous Hamiltonian Monte Carlo for models with discrete parameters and discontinuous likelihoods A Nishimura, D Dunson, J Lu arXiv preprint arXiv:1705.08510, 2017	77*	2017
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	73*	2019
Uniform accuracy of the quasicontinuum method W E, J Lu, JZ Yang Physical Review B 74 (21), 214115, 2006	71*	2006
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth Y Lu, C Ma, Y Lu, J Lu, L Ying International Conference on Machine Learning, 6426-6436, 2020	65	2020
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	65	2015
Pole-Based approximation of the Fermi-Dirac function L Lin, J Lu, L Ying, W E Chinese Annals of Mathematics-Series B 30 (6), 729-742, 2009	65	2009
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations J Lu, Y Lu, M Wang arXiv preprint arXiv:2101.01708, 2021	58*	2021

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