Yizheng Wang
Orcid: 0000-0002-3475-5431
According to our database1,
Yizheng Wang
authored at least 27 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation.
CoRR, February, 2025
A survey on multi-view fusion for predicting links in biomedical bipartite networks: Methods and applications.
Inf. Fusion, 2025
Enhancing distributed blocking flowshop group scheduling: Theoretical insight and application of an iterated greedy algorithm with idle time insertion and rapid evaluation mechanisms.
Expert Syst. Appl., 2025
2024
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning.
Frontiers Comput. Sci., April, 2024
TPMA: A two pointers meta-alignment tool to ensemble different multiple nucleic acid sequence alignments.
PLoS Comput. Biol., 2024
Knowl. Based Syst., 2024
Energy-based physics-informed neural network for frictionless contact problems under large deformation.
CoRR, 2024
Artificial intelligence for partial differential equations in computational mechanics: A review.
CoRR, 2024
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
Research on human-guided active following mode with 3D spatial relative positioning for vehicles in hilly and mountainous orchards.
Comput. Electron. Agric., 2024
Tiny drone object detection in videos guided by the bio-inspired magnocellular computation model.
Appl. Soft Comput., 2024
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
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
IEEE Intell. Syst., 2013