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Fei Lu 0016
Person information
- affiliation: Johns Hopkins University, Department of Mathematics, Baltimore, MD, USA
- affiliation (former): University of California Berkeley, CA, USA
- affiliation (former): Lawrence Berkeley National Laboratory, CA, USA
Other persons with the same name
- Fei Lu — disambiguation page
- Fei Lu 0001 — San Diego State University, Department of Electrical and Computer Engineering, CA, USA (and 1 more)
- Fei Lyu 0001 (aka: Fei Lv 0001, Fei Lu 0002) — Chinese Academy of Sciences, Institute of Software, Beijing, China (and 1 more)
- Fei Lu 0003 — Zhejiang University, Hangzhou, China
- Fei Lu 0004 — University of California at Riverside, USA
- Fei Lu 0005 — Shandong University, Jinan, China
- Fei Lu 0006 — Hebei University, TianJin, China
- Fei Lu 0008 — University of Louisiana at Lafayette, LA, USA
- Fei Lu 0009 — City University of Hong Kong
- Fei Lu 0010 — North University of China, Key Laboratory of Instrumentation Science & Dynamic Measurement, Taiyuan, China
- Fei Lu 0011 — Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China
- Fei Lu 0012 — University of Electronic Science and Technology of China, Network and Data Security Laboratory of Sichuan Province, Chengdu, China
- Fei Lu 0013 — Dalian University of Technology, China
- Fei Lu 0014 — Chinese Academy of Sciences, Institute of Electronics, State Key Laboratory of Transducer Technology, Beijing, China
- Fei Lu 0015 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Fei Lu 0017 — Wuhan University, Institute for the Development of Central China, China
- Fei Lu 0018 — Civil Aviation University of China, Tianjin, China
- Fei Lu 0019 — National Energy Technology Laboratory, Pittsburgh, PA, USA
- Fei Lu 0020 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- Fei Lu 0021 — North China University of Technology, College of Computer, Beijing, China
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2020 – today
- 2024
- [i18]Quanjun Lang, Xiong Wang, Fei Lu, Mauro Maggioni:
Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel. CoRR abs/2402.08412 (2024) - 2023
- [j8]Xingjie Li, Fei Lu, Molei Tao, Felix X.-F. Ye:
NySALT: Nyström-type inference-based schemes adaptive to large time-stepping. J. Comput. Phys. 477: 111952 (2023) - [i17]Zehong Zhang, Fei Lu, Esther Xu Fei, Terry Lyons, Yannis G. Kevrekidis, Tom Woolf:
Benchmarking optimality of time series classification methods in distinguishing diffusions. CoRR abs/2301.13112 (2023) - [i16]Quanjun Lang, Fei Lu:
Small noise analysis for Tikhonov and RKHS regularizations. CoRR abs/2305.11055 (2023) - 2022
- [j7]Fei Lu, Mauro Maggioni, Sui Tang:
Learning Interaction Kernels in Stochastic Systems of Interacting Particles from Multiple Trajectories. Found. Comput. Math. 22(4): 1013-1067 (2022) - [j6]Quanjun Lang, Fei Lu:
Learning Interaction Kernels in Mean-Field Equations of First-Order Systems of Interacting Particles. SIAM J. Sci. Comput. 44(1): 260- (2022) - [c1]Fei Lu, Quanjun Lang, Qingci An:
Data adaptive RKHS Tikhonov regularization for learning kernels in operators. MSML 2022: 158-172 - [i15]Fei Lu, Quanjun Lang, Qingci An:
Data adaptive RKHS Tikhonov regularization for learning kernels in operators. CoRR abs/2203.03791 (2022) - [i14]Fei Lu, Qingci An, Yue Yu:
Nonparametric learning of kernels in nonlocal operators. CoRR abs/2205.11006 (2022) - [i13]Qingci An, Yannis G. Kevrekidis, Fei Lu, Mauro Maggioni:
Unsupervised learning of observation functions in state-space models by nonparametric moment methods. CoRR abs/2207.05242 (2022) - [i12]Xingjie Li, Fei Lu, Molei Tao, Felix X.-F. Ye:
NySALT: Nyström-type inference-based schemes adaptive to large time-stepping. CoRR abs/2207.06012 (2022) - [i11]Fei Lu, Changhong Mou, Honghu Liu, Traian Iliescu:
Stochastic Data-Driven Variational Multiscale Reduced Order Models. CoRR abs/2209.02739 (2022) - [i10]Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang:
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators. CoRR abs/2212.14163 (2022) - 2021
- [j5]Kevin K. Lin, Fei Lu:
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism. J. Comput. Phys. 424: 109864 (2021) - [j4]Fei Lu, Mauro Maggioni, Sui Tang:
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. J. Mach. Learn. Res. 22: 32:1-32:67 (2021) - [j3]Zehong Zhang, Fei Lu:
Cluster Prediction for Opinion Dynamics From Partial Observations. IEEE Trans. Signal Inf. Process. over Networks 7: 101-113 (2021) - [i9]Xingjie Li, Fei Lu, Felix X.-F. Ye:
ISALT: Inference-based schemes adaptive to large time-stepping for locally Lipschitz ergodic systems. CoRR abs/2102.12669 (2021) - [i8]Quanjun Lang, Fei Lu:
Identifiability of interaction kernels in mean-field equations of interacting particles. CoRR abs/2106.05565 (2021) - [i7]Nan Chen, Honghu Liu, Fei Lu:
Shock trace prediction by reduced models for a viscous stochastic Burgers equation. CoRR abs/2112.13840 (2021) - 2020
- [j2]Fei Lu:
Data-Driven Model Reduction for Stochastic Burgers Equations. Entropy 22(12): 1360 (2020) - [i6]Fei Lu:
Data-driven model reduction for stochastic Burgers equations. CoRR abs/2010.00736 (2020) - [i5]Quanjun Lang, Fei Lu:
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles. CoRR abs/2010.15694 (2020) - [i4]Zhongyang Li, Fei Lu:
On the coercivity condition in the learning of interacting particle systems. CoRR abs/2011.10480 (2020)
2010 – 2019
- 2019
- [i3]Kevin K. Lin, Fei Lu:
Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism. CoRR abs/1908.07725 (2019) - [i2]Fei Lu, Mauro Maggioni, Sui Tang:
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. CoRR abs/1910.04832 (2019) - 2018
- [i1]Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong:
Nonparametric inference of interaction laws in systems of agents from trajectory data. CoRR abs/1812.06003 (2018) - 2015
- [j1]Fei Lu, Matthias Morzfeld, Xuemin Tu, Alexandre J. Chorin:
Limitations of polynomial chaos expansions in the Bayesian solution of inverse problems. J. Comput. Phys. 282: 138-147 (2015)
Coauthor Index
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last updated on 2024-07-03 23:07 CEST by the dblp team
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