Yingguang Hao

Orcid: 0000-0001-5944-2119

According to our database1, Yingguang Hao authored at least 18 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Fourier-Guided Dehazing for IoT Edge Vision: Modeling Nonhomogeneous Haze With a Cyclic Mamba-Enhanced Transformer.
IEEE Internet Things J., 2026

EFAIR: Efficient hybrid networks with contrastive compact prompts for all-in-one image restoration.
Expert Syst. Appl., 2026

NuTS: Non-uniform Sampling with Distance-Dependent Adaptive Fusion for Time Series Forecasting.
Proceedings of the Database Systems for Advanced Applications, 2026

2024
FCNet: Fully Complex Network for Time Series Forecasting.
IEEE Internet Things J., December, 2024

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing.
CoRR, 2024

Multi-Scale Graph-Based Cross-Attention Transformer for Whole Slide Image Classification.
Proceedings of the 18th International Conference on Control, 2024

AC-SORT: Adaptive Combination of Appearance and Motion Information for Multi-Object Tracking.
Proceedings of the 17th International Conference on Control, 2024

Multi-Object Tracking Algorithm Based on Motion Estimation and Appearance Adaptive Matching.
Proceedings of the 17th International Conference on Control, 2024

Low Quality Fundus Image Enhancement Based on GAN for Automatic Glaucoma Detection.
Proceedings of the 18th International Conference on Control, 2024

Knowledge Distillation with Memory-Guided Normality for Industrial Anomaly Detection.
Proceedings of the 14th Asian Control Conference, 2024

Feature Adaptation and Multi-scale Attentional Fusion Based Anomaly Detection Method.
Proceedings of the 14th Asian Control Conference, 2024

2023
Two-BranchTGNet: A Two-Branch Neural Network for Breast Cancer Subtype Classification.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

Self-supervised comparative learning based improved multiple instance learning for whole slide image classification.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

Prognostic Survival Prediction Model of Non-small Cell Lung Cancer Based on Multimodal Feature Fusion.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

Hierarchical Image Fine-Grained classification via Hierarchical Feature Mining and Filtering.
Proceedings of the 7th International Conference on Deep Learning Technologies, 2023

TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images.
Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023

2022
A Lightweight Lung Region Image Segmentation Model with Attention Mechanisms.
Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences, 2022

2021
Recognition Method of Electrical Components Based on Improved YOLOv3.
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021


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