Yizheng Wang

Orcid: 0000-0002-3475-5431

According to our database1, Yizheng Wang authored at least 20 papers between 2013 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning.
Frontiers Comput. Sci., April, 2024

Short-term load forecasting based on CEEMDAN and dendritic deep learning.
Knowl. Based Syst., 2024

Improved dendritic learning: Activation function analysis.
Inf. Sci., 2024

DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams.
CoRR, 2024

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

Observation, Analysis, and Solution: Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training.
CoRR, 2024

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

Tiny drone object detection in videos guided by the bio-inspired magnocellular computation model.
Appl. Soft Comput., 2024

2023
SBSM-Pro: Support Bio-sequence Machine for Proteins.
CoRR, 2023

Optimizing Carbon Storage Operations for Long-Term Safety.
CoRR, 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

ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video Tiny-Object Detection Guided by the Spatial-Temporal Motion Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models.
IEEE Trans. Geosci. Remote. Sens., 2022

A POMDP Model for Safe Geological Carbon Sequestration.
CoRR, 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

Price Chain Analysis from Primary Energy Prices to Electricity Market Clearing Prices.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

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

2013
Intelligent Human Resource Planning System in a Large Petrochemical Enterprise.
IEEE Intell. Syst., 2013


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