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20212024
most citedOn Computing the Hyperparameter of Extreme Learning Machines: Algorithm and Application to Computational PDEs, and Comparison with Classical and High-Order Finite Elements

61 citations · 96 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2024

A Functionally Connected Element Method for Solving Boundary Value Problems

Jielin Yang, Suchuan Dong

We present the general forms of piece-wise functions on partitioned domains satisfying an intrinsic or continuity across the sub-domain boundaries. These general forms…

math.NA2023★ 7 cited

Phase Field Modeling and Numerical Algorithm for Two-Phase Dielectric Fluid Flows

Jielin Yang, Ivan C. Christov, Suchuan Dong

We develop a method for modeling and simulating a class of two-phase flows consisting of two immiscible incompressible dielectric fluids and their interactions with imposed externa…

math.NA2022★ 28 cited

Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks

Suchuan Dong, Jielin Yang

We present a method for solving linear and nonlinear PDEs based on the variable projection (VarPro) framework and artificial neural networks (ANN). For linear PDEs, enforcing the b…

physics.comp-ph2021★ 61 cited

On Computing the Hyperparameter of Extreme Learning Machines: Algorithm and Application to Computational PDEs, and Comparison with Classical and High-Order Finite Elements

Suchuan Dong, Jielin Yang

We consider the use of extreme learning machines (ELM) for computational partial differential equations (PDE). In ELM the hidden-layer coefficients in the neural network are assign…

cs.CR2021

Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation

Jenn-Bing Ong, Wee-Keong Ng, Ivan Tjuawinata +6

Data privacy is an important issue for organizations and enterprises to securely outsource data storage, sharing, and computation on clouds / fogs. However, data encryption is comp…