Hai Yang

Orcid: 0000-0002-1161-4337

Affiliations:

East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China

According to our database¹, Hai Yang authored at least 47 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Relationship constraint deep metric learning.

[BibT_eX]

[DOI]

Appl. Intell., April, 2024

Emotion embedding framework with emotional self-attention mechanism for speaker recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

MAPFF: Multiangle Pyramid Feature Fusion Network for Infrared Dim Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Target-Focused Enhancement Network for Distant Infrared Dim and Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Guided Attention and Joint Loss for Infrared Dim Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Patch-Based Semantically Enhanced Network for IR Dim and Small Targets Background Suppression.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Denoising for balanced representation: A diffusion-informed approach to causal effect estimation.

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[DOI]

Knowl. Based Syst., 2024

Scale-wise discriminative region learning for medical image segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

2023

Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Multilabel Convolutional Network With Feature Denoising and Details Supplement.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2023

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.

[BibT_eX]

[DOI]

Briefings Bioinform., September, 2023

Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition.

[BibT_eX]

[DOI]

Speech Commun., June, 2023

Federated probability memory recall for federated continual learning.

[BibT_eX]

[DOI]

Inf. Sci., June, 2023

Knowledge aggregation networks for class incremental learning.

[BibT_eX]

[DOI]

Pattern Recognit., May, 2023

Multi-view dimensionality reduction learning with hierarchical sparse feature selection.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

Multi-feature space similarity supplement for few-shot class incremental learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., April, 2023

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

RLPGB-Net: Reinforcement Learning of Feature Fusion and Global Context Boundary Attention for Infrared Dim Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Personalized Federated Continual Learning for Task-Incremental Biometrics.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2023

Complementary features based prototype self-updating for few-shot learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

SAMMS: Multi-modality Deep Learning with the Foundation Model for the Prediction of Cancer Patient Survival.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

LDE-UNet: A Novel Model for Rapid COVID-19 Diagnosis via CT Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Modif-SegUnet: Innovatively Advancing Liver Cancer Diagnosis and Treatment through Efficient and Meaningful Segmentation of 3D Medical Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

PMMVar: Leveraging Multi-level Protein Structures for Enhanced Coding Variant Pathogenicity Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Joint Clustering and Analyze Single Cell Multi-omics Data by scMOGAN.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning.

[BibT_eX]

[DOI]

Bioinform., October, 2022

Graph-Based Object Semantic Refinement for Visual Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Semantic Supplementary Network With Prior Information for Multi-Label Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

Multi-attention mutual information distributed framework for few-shot learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data.

[BibT_eX]

[DOI]

CoRR, 2022

Client selection based weighted federated few-shot learning.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Spatial-frequency convolutional self-attention network for EEG emotion recognition.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Cost-sensitive matrixized classification learning with information entropy.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Multi-MedVit: a deep learning approach for the diagnosis of COVID-19 with the CT images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

Entropy-based hybrid sampling ensemble learning for imbalanced data.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2021

Multi-kernel Support Vector Data Description with boundary information.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data.

[BibT_eX]

[DOI]

Bioinform., 2021

2020

Cancer classification based on chromatin accessibility profiles with deep adversarial learning model.

[BibT_eX]

[DOI]

PLoS Comput. Biol., November, 2020

2019

De novo pattern discovery enables robust assessment of functional consequences of non-coding variants.

[BibT_eX]

[DOI]

Bioinform., 2019

Hai Yang

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