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08/28/2023
A convergent interacting particle method for computing KPP front speeds in random flows
We aim to efficiently compute spreading speeds of reaction-diffusion-adv...
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01/13/2023
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation
Travel time estimation from GPS trips is of great importance to order du...
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09/17/2022
Deterministic-Statistical Approach for an Inverse Acoustic Source Problem using Multiple Frequency Limited Aperture Data
We propose a deterministic-statistical method for an inverse source prob...
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09/05/2022
A variational neural network approach for glacier modelling with nonlinear rheology
In this paper, we propose a mesh-free method to solve full stokes equati...
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08/31/2022
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems
We study a regularized interacting particle method for computing aggrega...
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08/22/2022
A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals with application to a UQ problem for the Helmholtz equation
In this paper, we combine the Smolyak technique for multi-dimensional in...
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07/02/2022
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation
Estimating the travel time of a path is an essential topic for intellige...
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06/24/2022
A Deep Learning Approach to Nonconvex Energy Minimization for Martensitic Phase Transitions
We propose a mesh-free method to solve nonconvex energy minimization pro...
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06/21/2022
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories
Due to the rapid development of Internet of Things (IoT) technologies, m...
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04/23/2022
Pre-classification based stochastic reduced-order model for time-dependent complex system
We propose a novel stochastic reduced-order model (SROM) for complex sys...
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11/02/2021
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method
We introduce the so called DeepParticle method to learn and generate inv...
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09/20/2021
Convergence analysis of an operator-compressed multiscale finite element method for Schrödinger equations with multiscale potentials
In this paper, we analyze the convergence of the operator-compressed mul...
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06/02/2021
Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows
In this paper, we study the convergence analysis for a robust stochastic...
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04/03/2021
speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment
This paper introduces a new open-source speech corpus named "speechocean...
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03/27/2021
A convergent interacting particle method and computation of KPP front speeds in chaotic flows
In this paper, we study the propagation speeds of reaction-diffusion-adv...
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07/07/2020
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control
The coronavirus disease 2019 (COVID-19) outbreak has swept more than 180...
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10/31/2019
Connecting exciton diffusion with surface roughness via deep learning
Exciton diffusion plays a vital role in the function of many organic sem...
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09/16/2019
Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentials
The semiclassical Schrödinger equation with time-dependent potentials is...
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09/10/2019
A class of robust numerical methods for solving dynamical systems with multiple time scales
In this paper, we develop a class of robust numerical methods for solvin...
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08/12/2019
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method
In this paper, we propose an efficient numerical method to solve high-di...
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07/01/2019
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction
We propose a data-driven approach to solve multiscale elliptic PDEs with...
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06/30/2019
A multiscale reduced basis method for Schrödinger equation with multiscale and random potentials
The semiclassical Schrödinger equation with multiscale and random potent...
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06/21/2019
Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows
In this paper, we propose stochastic structure-preserving schemes to com...
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01/03/2019