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05/30/2023
On a neural network approach for solving potential control problem of the semiclassical Schrödinger equation
Robust control design for quantum systems is a challenging and key task ...
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07/24/2022
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems
In this work, we propose an adaptive sparse learning algorithm that can ...
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08/14/2021
Multirate partially explicit scheme for multiscale flow problems
For time-dependent problems with high-contrast multiscale coefficients, ...
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10/03/2020
An adaptive Hessian approximated stochastic gradient MCMC method
Bayesian approaches have been successfully integrated into training deep...
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10/03/2020
MFPC-Net: Multi-fidelity Physics-Constrained Neural Process
In this work, we propose a network which can utilize computational cheap...
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06/29/2020
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications
In this work, we propose a Bayesian type sparse deep learning algorithm....
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12/14/2019
XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service
In recent years, artificial intelligence (AI) has aroused much attention...
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07/22/2019
Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media
We present efficient deep learning techniques for approximating flow and...
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03/01/2019
Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform
In recent years, voice knowledge sharing and question answering (Q&A) pl...
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06/13/2018