Picture for Yizheng Wang

Yizheng Wang

Energy-based physics-informed neural network for frictionless contact problems under large deformation

Add code
Nov 06, 2024
Figure 1 for Energy-based physics-informed neural network for frictionless contact problems under large deformation
Figure 2 for Energy-based physics-informed neural network for frictionless contact problems under large deformation
Figure 3 for Energy-based physics-informed neural network for frictionless contact problems under large deformation
Figure 4 for Energy-based physics-informed neural network for frictionless contact problems under large deformation
Viaarxiv icon

DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams

Add code
Aug 04, 2024
Viaarxiv icon

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

Add code
Jun 16, 2024
Figure 1 for Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks
Figure 2 for Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks
Figure 3 for Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks
Figure 4 for Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks
Viaarxiv icon

Observation, Analysis, and Solution: Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training

Add code
Apr 18, 2024
Viaarxiv icon

ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking

Add code
Oct 16, 2023
Viaarxiv icon

SBSM-Pro: Support Bio-sequence Machine for Proteins

Add code
Aug 20, 2023
Viaarxiv icon

Optimizing Carbon Storage Operations for Long-Term Safety

Add code
Apr 19, 2023
Viaarxiv icon

DCM: Deep complementary energy method based on the principle of minimum complementary energy

Add code
Feb 13, 2023
Viaarxiv icon

BINN: A deep learning approach for computational mechanics problems based on boundary integral equations

Add code
Jan 11, 2023
Figure 1 for BINN: A deep learning approach for computational mechanics problems based on boundary integral equations
Figure 2 for BINN: A deep learning approach for computational mechanics problems based on boundary integral equations
Figure 3 for BINN: A deep learning approach for computational mechanics problems based on boundary integral equations
Figure 4 for BINN: A deep learning approach for computational mechanics problems based on boundary integral equations
Viaarxiv icon

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

Add code
Jan 16, 2022
Figure 1 for PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my"
Figure 2 for PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my"
Figure 3 for PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my"
Figure 4 for PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my"
Viaarxiv icon