Dongdong Li

Orcid: 0000-0002-1880-8054

Affiliations:
  • East China University of Science and Technology (ECUST), Department of Computer Science and Engineering, Shanghai, China


According to our database1, Dongdong Li authored at least 101 papers between 2004 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FAD3QN: A Brain-Inspired Deep Reinforcement Learning Model for Speech Depression Detection.
IEEE Trans. Comput. Soc. Syst., April, 2026

An End-to-End Speaker Recognition Method Based on Multi-network Stacking.
Circuits Syst. Signal Process., April, 2026

MMFC-PFL: Multimodal Feature Collaborative Personalized Federated Learning.
IEEE Trans. Netw. Sci. Eng., 2026

Fine-Grained Emotion Adaptive Alignment Network for Image Emotion Distribution Transfer.
IEEE Trans. Affect. Comput., 2026

DepressInstruct: Instruction tuning of large speech-language models for depression detection.
Inf. Fusion, 2026

2025
EEG Emotion Recognition Based on an Implicit Emotion Regulatory Mechanism.
IEEE Trans. Artif. Intell., November, 2025

Neuron Perception Inspired EEG Emotion Recognition With Parallel Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

MSMF-MIL: Multi-Scale Mixed Feature-Based Multiple Instance Learning for Speech Emotion Recognition.
IEEE Trans. Consumer Electron., August, 2025

Double Confidence Calibration Focused Distillation for Task-Incremental Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

Local-Global Geometric Information and View Complementarity Introduced Multiview Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data.
CoRR, February, 2025

Trans-Driver: A Deep Learning Approach for Cancer Driver Gene Discovery With Multi-Omics Data.
IEEE Trans. Comput. Biol. Bioinform., 2025

Resource-efficient cross-subject emotion recognition from electroencephalogram via spiking domain discriminators.
Eng. Appl. Artif. Intell., 2025

TFCTL: Time-Frequency Calibrated Transfer Learning for cross domain depression detection.
Eng. Appl. Artif. Intell., 2025

Brain topographic map: A visual feature for multi-view fusion design in EEG-based biometrics.
Digit. Signal Process., 2025

Multimodal Fusion for EEG Emotion Recognition in Music with a Multi-Task Learning Framework.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Depression Detection Based on Self-Supervised Pretrained Speech Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

TFCAF-Net: A Time-Frequency Co-Attentive Fusion Network for Speech-Based Depression Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Ipvar: Advancing Pathogenicity Prediction Via Hierarchical Fusion of Structure Foundation Models Alphafold 3 and Esm C.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
DRSCDM: A Novel Density-Related Clustering for Complex High-Dimensional Data Streams.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Emotion embedding framework with emotional self-attention mechanism for speaker recognition.
Expert Syst. Appl., March, 2024

Optimizing Clinical Depression Detection: Extracting Depression-Specific Feature Sets Using spFSR to Enhance Speech-Based Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Multilabel Convolutional Network With Feature Denoising and Details Supplement.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.
Briefings Bioinform., September, 2023

SEC-GAN for robust speaker recognition with emotional state dismatch.
Biomed. Signal Process. Control., August, 2023

Multiple Kernel Subspace Learning for Clustering and Classification.
IEEE Trans. Knowl. Data Eng., July, 2023

Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition.
Speech Commun., June, 2023

Knowledge aggregation networks for class incremental learning.
Pattern Recognit., May, 2023

Flexible few-shot class-incremental learning with prototype container.
Neural Comput. Appl., May, 2023

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach.
Briefings Bioinform., January, 2023

Scalable one-stage multi-view subspace clustering with dictionary learning.
Knowl. Based Syst., 2023

Personalized Federated Continual Learning for Task-Incremental Biometrics.
IEEE Internet Things J., 2023

DFSGAN: Introducing editable and representative attributes for few-shot image generation.
Eng. Appl. Artif. Intell., 2023

Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023

Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data.
IEEE Trans. Cybern., 2022

Semantic Supplementary Network With Prior Information for Multi-Label Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning to Capture the Query Distribution for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Geometric imbalanced deep learning with feature scaling and boundary sample mining.
Pattern Recognit., 2022

Gravitation balanced multiple kernel learning for imbalanced classification.
Neural Comput. Appl., 2022

Boundary-based Fuzzy-SVDD for one-class classification.
Int. J. Intell. Syst., 2022

Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization.
Int. J. Intell. Syst., 2022

Multi-attention mutual information distributed framework for few-shot learning.
Expert Syst. Appl., 2022

TRSD: A Time-Varying and Region-Changed Speech Database for Speaker Recognition.
Circuits Syst. Signal Process., 2022

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data.
CoRR, 2022

Client selection based weighted federated few-shot learning.
Appl. Soft Comput., 2022

Multi-type features separating fusion learning for Speech Emotion Recognition.
Appl. Soft Comput., 2022

Spatial-frequency convolutional self-attention network for EEG emotion recognition.
Appl. Soft Comput., 2022

Cost-sensitive matrixized classification learning with information entropy.
Appl. Soft Comput., 2022

Deep Spatio-Temporal Mutual Learning for EEG Emotion Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.
IEEE J. Biomed. Health Informatics, 2021

EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks.
IEEE Trans. Cogn. Dev. Syst., 2021

OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video.
IEEE Trans. Cogn. Dev. Syst., 2021

BLSTM and CNN Stacking Architecture for Speech Emotion Recognition.
Neural Process. Lett., 2021

Exploiting the potentialities of features for speech emotion recognition.
Inf. Sci., 2021

Entropy-based hybrid sampling ensemble learning for imbalanced data.
Int. J. Intell. Syst., 2021

Speech emotion recognition using recurrent neural networks with directional self-attention.
Expert Syst. Appl., 2021

Multi-kernel Support Vector Data Description with boundary information.
Eng. Appl. Artif. Intell., 2021

Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data.
Bioinform., 2021

Sample and feature selecting based ensemble learning for imbalanced problems.
Appl. Soft Comput., 2021

2020
Cancer classification based on chromatin accessibility profiles with deep adversarial learning model.
PLoS Comput. Biol., November, 2020

Geometric Structural Ensemble Learning for Imbalanced Problems.
IEEE Trans. Cybern., 2020

Collaborative and geometric multi-kernel learning for multi-class classification.
Pattern Recognit., 2020

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting.
Neural Networks, 2020

Efficient matrixized classification learning with separated solution process.
Neural Comput. Appl., 2020

Multi-matrices entropy discriminant ensemble learning for imbalanced problem.
Neural Comput. Appl., 2020

NearCount: Selecting critical instances based on the cited counts of nearest neighbors.
Knowl. Based Syst., 2020

Object semantics sentiment correlation analysis enhanced image sentiment classification.
Knowl. Based Syst., 2020

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem.
Knowl. Based Syst., 2020

Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction.
J. Biomed. Informatics, 2020

Multiple Universum Empirical Kernel Learning.
Eng. Appl. Artif. Intell., 2020

Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems.
Eng. Appl. Artif. Intell., 2020

Feature rearrangement based deep learning system for predicting heart failure mortality.
Comput. Methods Programs Biomed., 2020

2019
Tree-based space partition and merging ensemble learning framework for imbalanced problems.
Inf. Sci., 2019

Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem.
Neurocomputing, 2019

Web image annotation based on Tri-relational Graph and semantic context analysis.
Eng. Appl. Artif. Intell., 2019

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems.
Appl. Soft Comput., 2019

Multiple Empirical Kernel Learning with Discriminant Locality Preservation.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Mortality prediction system for heart failure with orthogonal relief and dynamic radius means.
Int. J. Medical Informatics, 2018

Information entropy based sample reduction for support vector data description.
Appl. Soft Comput., 2018

Entropy Based Boundary-Eliminated Pseudo-Inverse Linear Discriminant for Speech Emotion Recognition.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017
Regularized Matrix-Pattern-Oriented Classification Machine with Universum.
Neural Process. Lett., 2017

Locality sensitive discriminant matrixized learning machine.
Knowl. Based Syst., 2017

Entropy-based fuzzy support vector machine for imbalanced datasets.
Knowl. Based Syst., 2017

GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction.
Eng. Appl. Artif. Intell., 2017

2016
PVD: A new pathological voice dataset for intra-speaker recognition research interest.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016

2015
Affect-insensitive speaker recognition systems via emotional speech clustering using prosodic features.
Neural Comput. Appl., 2015

MPEKDyL: Efficient multi-partial empirical kernel dynamic learning.
Knowl. Based Syst., 2015

2009
Pitch envelope based frame level score reweighed algorithm for emotion robust speaker recognition.
Proceedings of the Affective Computing and Intelligent Interaction, 2009

2007
Affect-Insensitive Speaker Recognition by Feature Variety Training.
Proceedings of the Affective Computing and Intelligent Interaction, 2007

2006
AVAS: An Audio-Visual Attendance System.
Proceedings of the Advances in Multimedia Information Processing, 2006

MASC: A Speech Corpus in Mandarin for Emotion Analysis and Affective Speaker Recognition.
Proceedings of the Odyssey 2006: The Speaker and Language Recognition Workshop, 2006

Enhancing 3D Face Recognition by Combination of Voiceprint.
Proceedings of the Computational Science, 2006

Dynamic Bayesian Networks for Audio-Visual Speaker Recognition.
Proceedings of the Advances in Biometrics, International Conference, 2006

Rules Based Feature Modification for Affective Speaker Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Combining voiceprint and face biometrics for speaker identification using SDWS.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Emotion-State Conversion for Speaker Recognition.
Proceedings of the Affective Computing and Intelligent Interaction, 2005

2004
Bimodal Speaker Identification Using Dynamic Bayesian Network.
Proceedings of the Advances in Biometric Person Authentication, 2004


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