Dongdong Li

发表

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

Zhe Wang, Zhe Wang, Wei Guo, 2021, Int. J. Intell. Syst..

Trans-Driver: a deep learning approach for cancer driver gene discovery with multi-omics data

Zhe Wang, Lei Zhang, Zhe Wang, 2022, bioRxiv.

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

Zhe Wang, R. Chen, Jing Zhang, 2022, bioRxiv.

Client selection based weighted federated few-shot learning

Zhe Wang, Hai Yang, Dongdong Li, 2022, Appl. Soft Comput..

Scalable one-stage multi-view subspace clustering with dictionary learning

Zhe Wang, Dongdong Li, Xinlei Xu, 2022, Knowl. Based Syst..

DFSGAN: Introducing editable and representative attributes for few-shot image generation

Zhe Wang, Dongdong Li, Wenli Du, 2023, Eng. Appl. Artif. Intell..

TRSD: A Time-Varying and Region-Changed Speech Database for Speaker Recognition

Zhe Wang, Dongdong Li, Jinlin Liu, 2022, Circuits, Systems, and Signal Processing.

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

Hai Yang, Zhe Wang, Dongdong Li, 2020, PLoS Comput. Biol..

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

Jing Zhang, Zhe Wang, Hai Yang, 2022, ArXiv.

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

Dongdong Li, Hai Yang, Zhe Wang, 2021, Bioinform..

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

Lei Zhang, Zhe Wang, Hai Yang, 2022, IEEE International Conference on Bioinformatics and Biomedicine.

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

Dongdong Li, Hai Yang, Zhe Wang, 2021, IEEE Transactions on Cognitive and Developmental Systems.

Boundary‐based Fuzzy‐SVDD for one‐class classification

Zhe Wang, Dongdong Li, Chenjie Cao, 2021, Int. J. Intell. Syst..

Multi-kernel Support Vector Data Description with boundary information

Dongdong Li, Sisi Hong, Hai Yang, 2021, Eng. Appl. Artif. Intell..

Tree-based space partition and merging ensemble learning framework for imbalanced problems

Dongdong Li, Wenli Du, Zhe Wang, 2019, Inf. Sci..

Mortality prediction system for heart failure with orthogonal relief and dynamic radius means

Min Liu, Dongdong Li, Tong Ruan, 2018, Int. J. Medical Informatics.

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

Zhe Wang, Hai Yang, Dongdong Li, 2022, Expert Syst. Appl..

Efficient matrixized classification learning with separated solution process

Jing Zhang, Wenli Du, Zhe Wang, 2019, Neural Computing and Applications.

Exploiting the potentialities of features for speech emotion recognition

Zhe Wang, Dongdong Li, Yijun Zhou, 2021, Inf. Sci..

BLSTM and CNN Stacking Architecture for Speech Emotion Recognition

Dongdong Li, Jing Zhang, Wenli Du, 2021, Neural Processing Letters.

Cost-sensitive matrixized classification learning with information entropy

Zhe Wang, Hai Yang, Dongdong Li, 2021, Appl. Soft Comput..

Geometric Structural Ensemble Learning for Imbalanced Problems

Zhe Wang, Wenli Du, Dongdong Li, 2020, IEEE Transactions on Cybernetics.

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

Dongdong Li, Wenli Du, Zhe Wang, 2021, IEEE Journal of Biomedical and Health Informatics.

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

Zhe Wang, Hai Yang, Dongdong Li, 2023, Speech Commun..

Learning to Capture the Query Distribution for Few-Shot Learning

Zhe Wang, Dongdong Li, Wenli Du, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Speech emotion recognition using recurrent neural networks with directional self-attention

Dongdong Li, Zhe Wang, Linyu Sun, 2021, Expert Syst. Appl..

NearCount: Selecting critical instances based on the cited counts of nearest neighbors

Zhe Wang, Wenli Du, Dongdong Li, 2020, Knowl. Based Syst..

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems

Wenli Du, Dongdong Li, Zhe Wang, 2019, Appl. Soft Comput..

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting

Zhe Wang, Dongdong Li, Yangming Zhou, 2019, Neural Networks.

Web image annotation based on Tri-relational Graph and semantic context analysis

Jing Zhang, Zhe Wang, Dongdong Li, 2019, Eng. Appl. Artif. Intell..

Feature rearrangement based deep learning system for predicting heart failure mortality

Jing Zhang, Zhe Wang, Dongdong Li, 2020, Comput. Methods Programs Biomed..

Object semantics sentiment correlation analysis enhanced image sentiment classification

Mei Chen, Jing Zhang, Zhe Wang, 2020, Knowl. Based Syst..

Sample and feature selecting based ensemble learning for imbalanced problems

Dongdong Li, Yujin Zhu, Zhe Wang, 2021, Appl. Soft Comput..

Multiple Kernel Subspace Learning for Clustering and Classification

Zhe Wang, Dongdong Li, Wenli Du, 2023, IEEE Transactions on Knowledge and Data Engineering.

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

Dongdong Li, Wenli Du, Zhe Wang, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Collaborative and geometric multi-kernel learning for multi-class classification

Dongdong Li, Zhe Wang, Zonghai Zhu, 2020, Pattern Recognit..

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

Zhe Wang, Hai Yang, Dongdong Li, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem

Dongdong Li, Zhe Wang, Wenli Du, 2020, Knowl. Based Syst..

Knowledge aggregation networks for class incremental learning

Zhe Wang, Hai Yang, Dongdong Li, 2023, Pattern Recognition.

Entropy-based fuzzy support vector machine for imbalanced datasets

Hongyuan Zha, Dongdong Li, Qi Fan, 2017, Knowl. Based Syst..

Geometric imbalanced deep learning with feature scaling and boundary sample mining

Zhe Wang, Wei Guo, Dongdong Li, 2022, Pattern Recognit..

Gravitation balanced multiple kernel learning for imbalanced classification

Zhe Wang, Dongdong Li, Wenli Du, 2022, Neural computing & applications (Print).

Multi‐view ensemble learning with empirical kernel for heart failure mortality prediction

Jing Zhang, Zhe Wang, Lilong Chen, 2019, International journal for numerical methods in biomedical engineering.

Flexible few-shot class-incremental learning with prototype container

Zhe Wang, Wei Guo, Dongdong Li, 2023, Neural Computing and Applications.

Multi-type features separating fusion learning for Speech Emotion Recognition

Zhe Wang, Dongdong Li, Xinlei Xu, 2022, Appl. Soft Comput..

Deep Spatio-Temporal Mutual Learning for EEG Emotion Recognition

Dongdong Li, Xinyu Li, Wenqing Ye, 2022, IEEE International Joint Conference on Neural Network.

Entropy‐based hybrid sampling ensemble learning for imbalanced data

Zhe Wang, Hai Yang, Dongdong Li, 2021, Int. J. Intell. Syst..

Regularized Matrix-Pattern-Oriented Classification Machine with Universum

Dongdong Li, Zhe Wang, Daqi Gao, 2017, Neural Processing Letters.

Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction

Zhe Wang, Dongdong Li, Yangming Zhou, 2019, J. Biomed. Informatics.

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

Zhe Wang, Hai Yang, Dongdong Li, 2022, Appl. Soft Comput..

Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem

Dongdong Li, Yang Cheng, Zhe Wang, 2019, Neurocomputing.

Locality sensitive discriminant matrixized learning machine

Dongdong Li, Zhe Wang, Chenjie Cao, 2017, Knowl. Based Syst..

SEC-GAN for robust speaker recognition with emotional state dismatch

Dongdong Li, Zhuo Yang, Zhe Wang, 2023, Biomed. Signal Process. Control..

Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data

Dongdong Li, Zhe Wang, Wenli Du, 2020, IEEE Transactions on Cybernetics.

Multi-matrices entropy discriminant ensemble learning for imbalanced problem

Yiwen Zhu, Jing Zhang, Wenli Du, 2019, Neural Computing and Applications.

Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems

Dongdong Li, Zhe Wang, Lilong Chen, 2020, Eng. Appl. Artif. Intell..

Modelling Variable Refrigerant Flow System for Control Purpose

Dongdong Li, Chunyuan Zheng, Mingchen Li, 2023, Energy and Buildings.

Personalized Federated Continual Learning for Task-Incremental Biometrics

Zhe Wang, Hai Yang, Dongdong Li, 2023, IEEE Internet of Things Journal.

Information entropy based sample reduction for support vector data description

Yu Liu, Dongdong Li, Zhe Wang, 2018, Appl. Soft Comput..

Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning

Zhe Wang, Hai Yang, Dongdong Li, 2023, IEEE Transactions on Neural Networks and Learning Systems.