Hai Yang

According to our database, Hai Yang authored at least 39 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Dongdong Li, Zhuo Yang, Jinlin Liu, Hai Yang, Zhe Wang

Expert Syst. Appl., March, 2024

2023

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

Tianhao Gu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang, Wenli Du

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

Multilabel Convolutional Network With Feature Denoising and Details Supplement.

Tianhao Gu, Zhe Wang, Zhongli Fang, Zonghai Zhu, Hai Yang, Dongdong Li, Wenli Du

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

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

Hai Yang, Yawen Liu, Yijing Yang, Dongdong Li, Zhe Wang

Briefings Bioinform., September, 2023

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

Dongdong Li, Zhuo Yang, Zhe Wang, Hai Yang

Speech Commun., June, 2023

Federated probability memory recall for federated continual learning.

Zhe Wang, Yu Zhang, Xinlei Xu, Zhiling Fu, Hai Yang, Wenli Du

Inf. Sci., June, 2023

Knowledge aggregation networks for class incremental learning.

Zhiling Fu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang

Pattern Recognit., May, 2023

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

Wei Guo, Zhe Wang, Hai Yang, Wenli Du

Appl. Intell., May, 2023

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

Xinlei Xu, Saisai Niu, Zhe Wang, Wei Guo, Lihong Jing, Hai Yang

Knowl. Based Syst., April, 2023

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

Hai Yang, Lipeng Gan, Rui Chen, Dongdong Li, Jing Zhang, Zhe Wang

Briefings Bioinform., January, 2023

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

Zhe Wang, Tao Zang, Zhiling Fu, Hai Yang, Wenli Du

IEEE Trans. Geosci. Remote. Sens., 2023

Personalized Federated Continual Learning for Task-Incremental Biometrics.

Dongdong Li, Nan Huang, Zhe Wang, Hai Yang

IEEE Internet Things J., 2023

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

Xinlei Xu, Zhe Wang, Ziqiu Chi, Hai Yang, Wenli Du

Expert Syst. Appl., 2023

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

Zhongliang Zeng, Dongdong Li, Zhe Wang, Hai Yang

Proceedings of the International Joint Conference on Neural Networks, 2023

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

Zhengji Xuan, Dongdong Li, Zhe Wang, Hai Yang

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.

Wen Zhu, Yiwen Chen, Shanling Nie, Hai Yang

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.

QiSong Wang, JiaRou Wu, YingZhuo Wang, HuiLi Qu, Shanling Nie, Hai Yang

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.

Chenhang Wang, Yujian Jin, Jiayi Liang, YuHan Yang, Shanling Nie, Hai Yang

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

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

Yijia Chen, Yiwen Chen, Shanling Nie, Hai Yang

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

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

Congcong An, Yiwen Chen, Shanling Nie, Hai Yang

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.

Hai Yang, Rui Chen, Quan Wang, Qiang Wei, Ying Ji, Xue Zhong, Bingshan Li

Bioinform., October, 2022

Graph-Based Object Semantic Refinement for Visual Emotion Recognition.

Jing Zhang, Xinyu Liu, Zhe Wang, Hai Yang

IEEE Trans. Circuits Syst. Video Technol., 2022

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

Zhe Wang, Zhongli Fang, Dongdong Li, Hai Yang, Wenli Du

IEEE Trans. Circuits Syst. Video Technol., 2022

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

Wei Guo, Zhe Wang, Menghao Ma, Lilong Chen, Hai Yang, Dongdong Li, Wenli Du

Int. J. Intell. Syst., 2022

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

Zhe Wang, Pingchuan Ma, Ziqiu Chi, Dongdong Li, Hai Yang, Wenli Du

Expert Syst. Appl., 2022

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

Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang

CoRR, 2022

Client selection based weighted federated few-shot learning.

Xinlei Xu, Saisai Niu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du

Appl. Soft Comput., 2022

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

Dongdong Li, Li Xie, Bing Chai, Zhe Wang, Hai Yang

Appl. Soft Comput., 2022

Cost-sensitive matrixized classification learning with information entropy.

Zhe Wang, Xu Chu, Dongdong Li, Hai Yang, Weichao Qu

Appl. Soft Comput., 2022

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

Lei Zhang, Yijing Yang, Zhe Wang, Dongdong Li, Jingping Liu, Hai Yang

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.

Yunjie Cai, Zeqi Zheng, Shanling Nie, Yue Guo, Ruijie Zhang, Hai Yang

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

2021

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

Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du

IEEE J. Biomed. Health Informatics, 2021

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

Dongdong Li, Bing Chai, Zhe Wang, Hai Yang, Wenli Du

IEEE Trans. Cogn. Dev. Syst., 2021

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

Tianhao Gu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du, Yangming Zhou

IEEE Trans. Cogn. Dev. Syst., 2021

Entropy-based hybrid sampling ensemble learning for imbalanced data.

Dongdong Li, Ziqiu Chi, Bolu Wang, Zhe Wang, Hai Yang, Wenli Du

Int. J. Intell. Syst., 2021

Multi-kernel Support Vector Data Description with boundary information.

Wei Guo, Zhe Wang, Sisi Hong, Dongdong Li, Hai Yang, Wen Du

Eng. Appl. Artif. Intell., 2021

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

Hai Yang, Rui Chen, Dongdong Li, Zhe Wang

Bioinform., 2021

2020

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

Hai Yang, Qiang Wei, Dongdong Li, Zhe Wang

PLoS Comput. Biol., November, 2020

2019

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

Hai Yang, Rui Chen, Quan Wang, Qiang Wei, Ying Ji, Guangze Zheng, Xue Zhong, Nancy J. Cox, Bingshan Li

Bioinform., 2019