Yinghua Liu

According to our database1, Yinghua Liu authored at least 13 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Artificial intelligence for partial differential equations in computational mechanics: A review.
CoRR, 2024

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks.
CoRR, 2024

HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators.
CoRR, 2024

2023
AddCR: a data-driven cartoon remastering.
Vis. Comput., August, 2023

DCM: Deep complementary energy method based on the principle of minimum complementary energy.
CoRR, 2023

BINN: A deep learning approach for computational mechanics problems based on boundary integral equations.
CoRR, 2023

2022
PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my".
CoRR, 2022

Corrigendum to "An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests" [Biomed. Signal Process. Control 74 (2022) 103521].
Biomed. Signal Process. Control., 2022

An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests.
Biomed. Signal Process. Control., 2022

2021
CENN: Conservative energy method based on neural network with subdomains for solving heterogeneous problems involving complex geometries.
CoRR, 2021

2020
Time Series Data Reconstruction Method Based on Probability Statistics and Machine Learning.
Proceedings of the Multimedia Technology and Enhanced Learning, 2020

2014
Using O-D estimation in dynamic road network traffic flow simulation.
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014

2013
A Novel Approach to Reduce the Storage Amount and Load of Geolocation Database.
Proceedings of the 78th IEEE Vehicular Technology Conference, 2013


  Loading...