Hua Wang

Orcid: 0000-0002-8844-9667

Affiliations:
  • Ludong University, Yantai, China


According to our database1, Hua Wang authored at least 60 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Multi-scale temporal correlation multi-dimensional decomposition network for time series analysis.
Pattern Recognit., 2026

Correctformer: A transformer architecture for correcting periodic drift in time-series forecasting.
Neural Networks, 2026

DTFNet: A dual-modal time-frequency fusion network for non-stationary time series modeling.
Knowl. Based Syst., 2026

NP-MoETSF: A unified framework for Non-Prior Graph Learning in high-dimensional time series with sparse expert networks.
Knowl. Based Syst., 2026

FSMamba: A dual-expert architecture with fast global attention and local-enhanced state-space mamba for time series forecasting.
Knowl. Based Syst., 2026

AlignTime: Interperiodic phase alignment sampling for time-series forecasting.
Inf. Process. Manag., 2026

TriTrackNet: A dual-channel time series forecasting model with multi-path interaction and perturbation optimization.
Neurocomputing, 2026

DDformer: Transformer with dynamic variable fusion and dynamic difference attention for multivariate time series long-term forecasting.
Neurocomputing, 2026

FTdasc: A frequency-Time domain approach with stationarity correction for multivariate time series forecasting.
Expert Syst. Appl., 2026

New perspectives on multivariate time series forecasting: Lightweight networks combined with multi-scale hybrid state space models.
Expert Syst. Appl., 2026

MS-VMUnet: Multispectral vision Mamba for medical image segmentation.
Biomed. Signal Process. Control., 2026

TSCM: Enhancing multivariate time series forecasting with dual-stream temporal-spatial correlation modeling.
Appl. Soft Comput., 2026

TRED: Exponential feature decomposition three-channel networks for multivariate time series forecasting.
Appl. Soft Comput., 2026

PMNet: A progressive MLP-based framework for time series forecasting with long-short term dependency synergy.
Appl. Soft Comput., 2026

Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting.
Proceedings of the ACM Web Conference 2026, 2026

EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis.
Proceedings of the ACM Web Conference 2026, 2026

2025
Range-variable dynamic convolution and dual attention-guided efficient medical image segmentation network.
Int. J. Mach. Learn. Cybern., December, 2025

An Interactive Attention Mechanism Network Integrating the C¹ Activation Function for Time Series Forecasting.
IEEE Internet Things J., September, 2025

Mask autoencoder for enhanced image reconstruction with position coding offset and combined masking.
Vis. Comput., August, 2025

TS-AC: Teacher-Student Model With Aggregation Masked Convolution and Concentrated Linear Attention for Chest CT Abnormality Detection.
IEEE Trans. Instrum. Meas., 2025

CAWformer: A cross variable attention with discrete wavelet denoising for multivariate time series forecasting.
Knowl. Based Syst., 2025

THATSN: Temporal hierarchical aggregation tree structure network for long-term time-series forecasting.
Inf. Sci., 2025

Traffic prediction based on spatio-temporal feature embedding fusion and gate operation optimization.
Neurocomputing, 2025

SCA-Net: Seasonal Cycle-Aware Model Emphasizing Global and Local Features for Time Series Forecasting.
Int. J. Intell. Syst., 2025

A Lightweight Channel Correlation Invertible Network for Image Denoising.
IET Image Process., 2025

ADMNet: An adaptive downsampling multi-frequency multi-channel network for long-term time series forecasting.
Expert Syst. Appl., 2025

MCNR: Multiscale feature-based latent data component extraction linear regression model.
Expert Syst. Appl., 2025

Probabilistic intervals prediction based on adaptive regression with attention residual connections and covariance constraints.
Eng. Appl. Artif. Intell., 2025

A novel dual-channel model with adaptive multi-scale attention for time series forecasting.
Eng. Appl. Artif. Intell., 2025

Periodic decomposition and feature enhancement fusion for traffic forecasting.
Eng. Appl. Artif. Intell., 2025

Robust memory-based graph neural networks for noisy and sparse graphs.
Eng. Appl. Artif. Intell., 2025

Medical image segmentation with an emphasis on prior convolution and channel multi-branch attention.
Digit. Signal Process., 2025

Cross-scale informative priors network for medical image segmentation.
Digit. Signal Process., 2025

A Medical image segmentation model with auto-dynamic convolution and location attention mechanism.
Comput. Methods Programs Biomed., 2025

MESA-Net: Multi-Scale Enhanced Spatial Attention Network for medical image segmentation.
Comput. Graph., 2025

CFDformer: Medical image segmentation based on cross fusion dual attention network.
Biomed. Signal Process. Control., 2025

Frequency decomposition and patch modeling framework for time-series forecasting.
Appl. Soft Comput., 2025

HIFNet: Medical Image Segmentation Network Utilizing Hierarchical Attention Feature Fusion.
Proceedings of the Computational Visual Media - 13th International Conference, 2025

A Multiscale Edge-Guided Polynomial Approximation Network for Medical Image Segmentation.
Proceedings of the Computational Visual Media - 13th International Conference, 2025

2024
Probabilistic interval prediction method based on shape-adaptive quantile regression.
Expert Syst. J. Knowl. Eng., August, 2024

CF-DAN: Facial-expression recognition based on cross-fusion dual-attention network.
Comput. Vis. Media, June, 2024

Fast and highly coupled model for time series forecasting.
Multim. Tools Appl., January, 2024

Spatio-temporal Fourier enhanced heterogeneous graph learning for traffic forecasting.
Expert Syst. Appl., 2024

Combining optical flow and Swin Transformer for Space-Time video super-resolution.
Eng. Appl. Artif. Intell., 2024

Computing nodes for plane data points by constructing cubic polynomial with constraints.
Comput. Aided Geom. Des., 2024

Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
DFNet: Decomposition fusion model for long sequence time-series forecasting.
Knowl. Based Syst., October, 2023

Multi-Scale Video Super-Resolution Transformer With Polynomial Approximation.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic.
Expert Syst. Appl., May, 2023

A modified fuzzy clustering algorithm based on dynamic relatedness model for image segmentation.
Vis. Comput., April, 2023

Stock ranking prediction using a graph aggregation network based on stock price and stock relationship information.
Inf. Sci., 2023

Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting.
Intell. Data Anal., 2023

FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
An efficient FCM-based method for image refinement segmentation.
Vis. Comput., 2022

A hierarchical attention network for stock prediction based on attentive multi-view news learning.
Neurocomputing, 2022

Prediction of stock market index based on ISSA-BP neural network.
Expert Syst. Appl., 2022

2021
An image denoising algorithm based on adaptive clustering and singular value decomposition.
IET Image Process., 2021

Improved fuzzy clustering for image segmentation based on a low-rank prior.
Comput. Vis. Media, 2021

2020
Improving image segmentation based on patch-weighted distance and fuzzy clustering.
Multim. Tools Appl., 2020

A review of image denoising methods.
Commun. Inf. Syst., 2020


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