Bimodal Speaker Identification Using Dynamic Bayesian Network. - Dongdong Li 003; LiFeng Sang; Yingchun Yang; Zhaohui Wu 001 (SINOBIOMETRICS, 2004)

Emotion-State Conversion for Speaker Recognition. - Dongdong Li 003; Yingchun Yang; Zhaohui Wu 001; Tian Wu (ACII, 2005)

Combining voiceprint and face biometrics for speaker identification using SDWS. - Dongdong Li 003; Yingchun Yang; Zhaohui Wu 001 (INTERSPEECH, 2005)

Rules Based Feature Modification for Affective Speaker Recognition. - Zhaohui Wu 001; Dongdong Li 003; Yingchun Yang (ICASSP (1), 2006)

Dynamic Bayesian Networks for Audio-Visual Speaker Recognition. - Dongdong Li 003; Yingchun Yang; Zhaohui Wu 001 (ICB, 2006)

Enhancing 3D Face Recognition by Combination of Voiceprint. - Yueming Wang 001; Gang Pan 001; Yingchun Yang; Dongdong Li 003; Zhaohui Wu 001 (International Conference on Computational Science (1), 2006)

MASC: A Speech Corpus in Mandarin for Emotion Analysis and Affective Speaker Recognition. - Tian Wu; Yingchun Yang; Zhaohui Wu 001; Dongdong Li 003 (Odyssey, 2006)

AVAS: An Audio-Visual Attendance System. - Dongdong Li 003; Yingchun Yang; Zhenyu Shan; Gang Pan 001; Zhaohui Wu 001 (PCM, 2006)

Affect-Insensitive Speaker Recognition by Feature Variety Training. - Dongdong Li 003; Yingchun Yang (ACII, 2007)

Pitch envelope based frame level score reweighed algorithm for emotion robust speaker recognition. - Dongdong Li 003; Yingchun Yang; Ting Huang (ACII, 2009)

MPEKDyL: Efficient multi-partial empirical kernel dynamic learning. - Qi Fan; Zhe Wang 002; Daqi Gao; Dongdong Li 003 (Knowl. Based Syst., 2015)

Affect-insensitive speaker recognition systems via emotional speech clustering using prosodic features. - Dongdong Li 003; Yubo Yuan 001; Zhaohui Wu 001; Yingchun Yang (Neural Comput. Appl., 2015)

PVD: A new pathological voice dataset for intra-speaker recognition research interest. - Dongdong Li 003; Jianyu Wang; Yingchun Yang (ISCSLP, 2016)

GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction. - Yujin Zhu; Zhe Wang 002; Daqi Gao; Dongdong Li 003 (Eng. Appl. Artif. Intell., 2017)

Entropy-based fuzzy support vector machine for imbalanced datasets. - Qi Fan; Zhe Wang 002; Dongdong Li 003; Daqi Gao; Hongyuan Zha (Knowl. Based Syst., 2017)

Locality sensitive discriminant matrixized learning machine. - Zhe Wang 002; Guowei Zhang; Dongdong Li 003; Yujin Zhu; Chenjie Cao (Knowl. Based Syst., 2017)

Regularized Matrix-Pattern-Oriented Classification Machine with Universum. - Dongdong Li 003; Yujin Zhu; Zhe Wang 002; Chuanyu Chong; Daqi Gao (Neural Process. Lett., 2017)

Entropy Based Boundary-Eliminated Pseudo-Inverse Linear Discriminant for Speech Emotion Recognition. - Dongdong Li 003; Linyu Sun; Zhe Wang 002; Jing Zhang 041 (PCM (2), 2018)

Information entropy based sample reduction for support vector data description. - Dongdong Li 003; Zhe Wang 002; Chenjie Cao; Yu Liu (Appl. Soft Comput., 2018)

Mortality prediction system for heart failure with orthogonal relief and dynamic radius means. - Zhe Wang 002; Lijuan Yao; Dongdong Li 003; Tong Ruan; Min Liu; Ju Gao (Int. J. Medical Informatics, 2018)

Multiple Empirical Kernel Learning with Discriminant Locality Preservation. - Bolu Wang; Dongdong Li 003; Zhe Wang 002 (ACML, 2019)

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems. - Zonghai Zhu; Zhe Wang 002; Dongdong Li 003; Wenli Du (Appl. Soft Comput., 2019)

Web image annotation based on Tri-relational Graph and semantic context analysis. - Jing Zhang 041; Ti Tao; Yakun Mu; Han Sun; Dongdong Li 003; Zhe Wang 002 (Eng. Appl. Artif. Intell., 2019)

Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem. - Zhe Wang 002; Bolu Wang; Yang Cheng; Dongdong Li 003; Jing Zhang 041 (Neurocomputing, 2019)

Tree-based space partition and merging ensemble learning framework for imbalanced problems. - Zonghai Zhu; Zhe Wang 002; Dongdong Li 003; Wenli Du (Inf. Sci., 2019)

Feature rearrangement based deep learning system for predicting heart failure mortality. - Zhe Wang 002; Yiwen Zhu; Dongdong Li 003; Yichao Yin; Jing Zhang 041 (Comput. Methods Programs Biomed., 2020)

Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems. - Zhe Wang 002; Lilong Chen; Qi Fan; Dongdong Li 003; Daqi Gao (Eng. Appl. Artif. Intell., 2020)

Multiple Universum Empirical Kernel Learning. - Zhe Wang 002; Sisi Hong; Lijuan Yao; Dongdong Li 003; Wenli Du; Jing Zhang 041 (Eng. Appl. Artif. Intell., 2020)

Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction. - Zhe Wang 002; Bolu Wang; Yangming Zhou; Dongdong Li 003; Yichao Yin (J. Biomed. Informatics, 2020)

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem. - Zhe Wang 002; Yanqiong Li; Dongdong Li 003; Zonghai Zhu; Wenli Du (Knowl. Based Syst., 2020)

Object semantics sentiment correlation analysis enhanced image sentiment classification. - Jing Zhang 041; Mei Chen; Han Sun; Dongdong Li 003; Zhe Wang 002 (Knowl. Based Syst., 2020)

NearCount: Selecting critical instances based on the cited counts of nearest neighbors. - Zonghai Zhu; Zhe Wang 002; Dongdong Li 003; Wenli Du (Knowl. Based Syst., 2020)

Multi-matrices entropy discriminant ensemble learning for imbalanced problem. - Zhe Wang 002; Zhaozhi Chen; Yiwen Zhu; Jing Zhang 041; Wenli Du; Dongdong Li 003 (Neural Comput. Appl., 2020)

Efficient matrixized classification learning with separated solution process. - Zonghai Zhu; Zhe Wang 002; Dongdong Li 003; Wenli Du; Jing Zhang 041 (Neural Comput. Appl., 2020)

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting. - Zonghai Zhu; Zhe Wang 002; Dongdong Li 003; Wenli Du; Yangming Zhou (Neural Networks, 2020)

Collaborative and geometric multi-kernel learning for multi-class classification. - Zhe Wang 002; Zonghai Zhu; Dongdong Li 003 (Pattern Recognit., 2020)

Geometric Structural Ensemble Learning for Imbalanced Problems. - Zonghai Zhu; Zhe Wang 002; Dongdong Li 003; Yujin Zhu; Wenli Du (IEEE Trans. Cybern., 2020)

Cancer classification based on chromatin accessibility profiles with deep adversarial learning model. - Hai Yang 002; Qiang Wei; Dongdong Li 003; Zhe Wang 002 (PLoS Comput. Biol., 2020)

Sample and feature selecting based ensemble learning for imbalanced problems. - Zhe Wang 002; Peng Jia; Xinlei Xu; Bolu Wang; Yujin Zhu; Dongdong Li 003 (Appl. Soft Comput., 2021)

Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data. - Hai Yang 002; Rui Chen 021; Dongdong Li 003; Zhe Wang 002 (Bioinform., 2021)

Multi-kernel Support Vector Data Description with boundary information. - Wei Guo 023; Zhe Wang 002; Sisi Hong; Dongdong Li 003; Hai Yang 002; Wen Du (Eng. Appl. Artif. Intell., 2021)

Speech emotion recognition using recurrent neural networks with directional self-attention. - Dongdong Li 003; Jinlin Liu; Zhuo Yang; Linyu Sun; Zhe Wang 002 (Expert Syst. Appl., 2021)

Entropy-based hybrid sampling ensemble learning for imbalanced data. - Dongdong Li 003; Ziqiu Chi; Bolu Wang; Zhe Wang 002; Hai Yang 002; Wenli Du (Int. J. Intell. Syst., 2021)

Exploiting the potentialities of features for speech emotion recognition. - Dongdong Li 003; Yijun Zhou; Zhe Wang 002; Daqi Gao (Inf. Sci., 2021)

BLSTM and CNN Stacking Architecture for Speech Emotion Recognition. - Dongdong Li 003; Linyu Sun; Xinlei Xu; Zhe Wang 002; Jing Zhang 041; Wenli Du (Neural Process. Lett., 2021)

OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video. - Tianhao Gu; Zhe Wang 002; Dongdong Li 003; Hai Yang 002; Wenli Du; Yangming Zhou (IEEE Trans. Cogn. Dev. Syst., 2021)

EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks. - Dongdong Li 003; Bing Chai; Zhe Wang 002; Hai Yang 002; Wenli Du (IEEE Trans. Cogn. Dev. Syst., 2021)

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition. - Zhe Wang 002; Tianhao Gu; Yiwen Zhu; Dongdong Li 003; Hai Yang 002; Wenli Du (IEEE J. Biomed. Health Informatics, 2021)

CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data. - Lei Zhang 224; Yijing Yang; Zhe Wang 002; Dongdong Li 003; Jingping Liu; Hai Yang 002 (BIBM, 2022)

Deep Spatio-Temporal Mutual Learning for EEG Emotion Recognition. - Wenqing Ye; Xinyu Li; Haokun Zhang; Zhuolin Zhu; Dongdong Li 003 (IJCNN, 2022)

Cost-sensitive matrixized classification learning with information entropy. - Zhe Wang 002; Xu Chu; Dongdong Li 003; Hai Yang 002; Weichao Qu (Appl. Soft Comput., 2022)

Spatial-frequency convolutional self-attention network for EEG emotion recognition. - Dongdong Li 003; Li Xie; Bing Chai; Zhe Wang 002; Hai Yang 002 (Appl. Soft Comput., 2022)

Multi-type features separating fusion learning for Speech Emotion Recognition. - Xinlei Xu; Dongdong Li 003; Yijun Zhou; Zhe Wang 002 (Appl. Soft Comput., 2022)

Client selection based weighted federated few-shot learning. - Xinlei Xu; Saisai Niu; Zhe Wang 002; Dongdong Li 003; Hai Yang 002; Wenli Du (Appl. Soft Comput., 2022)

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data. - Hai Yang 002; Yuhang Sheng; Yi Jiang; Xiaoyang Fang; Dongdong Li 003; Jing Zhang 041; Zhe Wang 002 (CoRR, 2022)

TRSD: A Time-Varying and Region-Changed Speech Database for Speaker Recognition. - Dongdong Li 003; Jinlin Liu; Zhe Wang 002; Yanqiong Li; Baijun Chen; Lizhi Cai (Circuits Syst. Signal Process., 2022)

Multi-attention mutual information distributed framework for few-shot learning. - Zhe Wang 002; Pingchuan Ma 009; Ziqiu Chi; Dongdong Li 003; Hai Yang 002; Wenli Du (Expert Syst. Appl., 2022)

Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization. - Wei Guo 023; Zhe Wang 002; Menghao Ma; Lilong Chen; Hai Yang 002; Dongdong Li 003; Wenli Du (Int. J. Intell. Syst., 2022)

Boundary-based Fuzzy-SVDD for one-class classification. - Dongdong Li 003; Xinlei Xu; Zhe Wang 002; Chenjie Cao; Minguang Wang (Int. J. Intell. Syst., 2022)

Gravitation balanced multiple kernel learning for imbalanced classification. - Mengping Yang; Zhe Wang 002; Yanqiong Li; Yangming Zhou; Dongdong Li 003; Wenli Du (Neural Comput. Appl., 2022)

Geometric imbalanced deep learning with feature scaling and boundary sample mining. - Zhe Wang 002; Qida Dong; Wei Guo 023; Dongdong Li 003; Jing Zhang 041; Wenli Du (Pattern Recognit., 2022)

Learning to Capture the Query Distribution for Few-Shot Learning. - Ziqiu Chi; Zhe Wang 002; Mengping Yang; Dongdong Li 003; Wenli Du (IEEE Trans. Circuits Syst. Video Technol., 2022)

Semantic Supplementary Network With Prior Information for Multi-Label Image Classification. - Zhe Wang 002; Zhongli Fang; Dongdong Li 003; Hai Yang 002; Wenli Du (IEEE Trans. Circuits Syst. Video Technol., 2022)

Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data. - Zonghai Zhu; Zhe Wang 002; Dongdong Li 003; Wenli Du (IEEE Trans. Cybern., 2022)

Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition. - Zhengji Xuan; Dongdong Li 003; Zhe Wang 002; Hai Yang 002 (IJCNN, 2023)

Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition. - Zhongliang Zeng; Dongdong Li 003; Zhe Wang 002; Hai Yang 002 (IJCNN, 2023)

DFSGAN: Introducing editable and representative attributes for few-shot image generation. - Mengping Yang; Saisai Niu; Zhe Wang 002; Dongdong Li 003; Wenli Du (Eng. Appl. Artif. Intell., 2023)

Personalized Federated Continual Learning for Task-Incremental Biometrics. - Dongdong Li 003; Nan Huang; Zhe Wang 002; Hai Yang 002 (IEEE Internet Things J., 2023)

Scalable one-stage multi-view subspace clustering with dictionary learning. - Wei Guo 023; Zhe Wang 002; Ziqiu Chi; Xinlei Xu; Dongdong Li 003; Songyang Wu (Knowl. Based Syst., 2023)

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach. - Hai Yang 002; Lipeng Gan; Rui Chen 021; Dongdong Li 003; Jing Zhang 041; Zhe Wang 002 (Briefings Bioinform., 2023)

Flexible few-shot class-incremental learning with prototype container. - Xinlei Xu; Zhe Wang 002; Zhiling Fu; Wei Guo 023; Ziqiu Chi; Dongdong Li 003 (Neural Comput. Appl., 2023)

Knowledge aggregation networks for class incremental learning. - Zhiling Fu; Zhe Wang 002; Xinlei Xu; Dongdong Li 003; Hai Yang 002 (Pattern Recognit., 2023)

Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition. - Dongdong Li 003; Zhuo Yang; Zhe Wang 002; Hai Yang 002 (Speech Commun., 2023)

Multiple Kernel Subspace Learning for Clustering and Classification. - Ziqiu Chi; Zhe Wang 002; Bolu Wang; Zhongli Fang; Zonghai Zhu; Dongdong Li 003; Wenli Du (IEEE Trans. Knowl. Data Eng., 2023)

SEC-GAN for robust speaker recognition with emotional state dismatch. - Dongdong Li 003; Zhuo Yang; Zhe Wang 002; Ming Hua 007 (Biomed. Signal Process. Control., 2023)

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data. - Hai Yang 002; Yawen Liu; Yijing Yang; Dongdong Li 003; Zhe Wang 002 (Briefings Bioinform., 2023)

Multilabel Convolutional Network With Feature Denoising and Details Supplement. - Tianhao Gu; Zhe Wang 002; Zhongli Fang; Zonghai Zhu; Hai Yang 002; Dongdong Li 003; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2023)

Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition. - Tianhao Gu; Zhe Wang 002; Xinlei Xu; Dongdong Li 003; Hai Yang 002; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2023)

Optimizing Clinical Depression Detection: Extracting Depression-Specific Feature Sets Using spFSR to Enhance Speech-Based Diagnosis. - Wenhui Guo; Xinyu Mao; Binxiao Chen; Manyue Gu; Dongdong Li 003; Hai Yang 002 (BIBM, 2024)

Emotion embedding framework with emotional self-attention mechanism for speaker recognition. - Dongdong Li 003; Zhuo Yang; Jinlin Liu; Hai Yang 002; Zhe Wang 002 (Expert Syst. Appl., 2024)

Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning. - Dongdong Li 003; Li Xie; Zhe Wang 002; Hai Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

DRSCDM: A Novel Density-Related Clustering for Complex High-Dimensional Data Streams. - Dongdong Li 003; Yihan Fan; Zhe Wang 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Ipvar: Advancing Pathogenicity Prediction Via Hierarchical Fusion of Structure Foundation Models Alphafold 3 and Esm C. - Hanwen Huang; Ziquan Bao; Tianyi Zhou; Yingzhuo Wang; Qin Zhou 002; Ting Xiao 002; Qian Zhang 068; Zhe Liu; Dongdong Li 003; Hai Yang 002 (BIBM, 2025)

TFCAF-Net: A Time-Frequency Co-Attentive Fusion Network for Speech-Based Depression Detection. - Zhiwei Liu; Dongdong Li 003; Ke Zhao (BIBM, 2025)

Depression Detection Based on Self-Supervised Pretrained Speech Models. - Yiming Zhang; Zhuo Chen; Peite Guo; Dongdong Li 003; Ke Zhao (BIBM, 2025)

Multimodal Fusion for EEG Emotion Recognition in Music with a Multi-Task Learning Framework. - Shengyao Huang; Zhishuo Jin; Dongdong Li 003; Jinchen Han; Xie Tao 004 (ICASSP, 2025)

Brain topographic map: A visual feature for multi-view fusion design in EEG-based biometrics. - Dongdong Li 003; Zhongliang Zeng; Nan Huang; Zhe Wang 002; Hai Yang 002 (Digit. Signal Process., 2025)

TFCTL: Time-Frequency Calibrated Transfer Learning for cross domain depression detection. - Dongdong Li 003; Li Ding; Zuo Yang; Zhe Wang 002; Ke Zhao (Eng. Appl. Artif. Intell., 2025)

Resource-efficient cross-subject emotion recognition from electroencephalogram via spiking domain discriminators. - Dongdong Li 003; Shengyao Huang; Yujun Shen; Zhe Wang 002 (Eng. Appl. Artif. Intell., 2025)

Trans-Driver: A Deep Learning Approach for Cancer Driver Gene Discovery With Multi-Omics Data. - Hai Yang 002; Zhenbei Yang; Lei Zhang 224; Yijing Yang; Dan Zhou; Dongdong Li 003; Jing Zhang 041; Zhe Wang 002 (IEEE Trans. Comput. Biol. Bioinform., 2025)

Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data. - Mengping Yang; Zhe Wang 002; Ziqiu Chi; Dongdong Li 003; Wenli Du (CoRR, 2025)

Local-Global Geometric Information and View Complementarity Introduced Multiview Metric Learning. - Xinlei Xu; Zhe Wang 002; Shuangyan Ren; Saisai Niu; Dongdong Li 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Double Confidence Calibration Focused Distillation for Task-Incremental Learning. - Zhiling Fu; Zhe Wang 002; Chengwei Yu; Xinlei Xu; Dongdong Li 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MSMF-MIL: Multi-Scale Mixed Feature-Based Multiple Instance Learning for Speech Emotion Recognition. - Dongdong Li 003; Hongmei Yang; Zihan Song 001; Zhe Wang 002 (IEEE Trans. Consumer Electron., 2025)

Neuron Perception Inspired EEG Emotion Recognition With Parallel Contrastive Learning. - Dongdong Li 003; Shengyao Huang; Li Xie; Zhe Wang 002; Jiazhen Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

EEG Emotion Recognition Based on an Implicit Emotion Regulatory Mechanism. - Dongdong Li 003; Zhishuo Jin; Yujun Shen; Zhe Wang 002; Suo Jiang (IEEE Trans. Artif. Intell., 2025)

DepressInstruct: Instruction tuning of large speech-language models for depression detection. - Dongdong Li 003; Li Ding; Zhe Wang 002; Ke Zhao (Inf. Fusion, 2026)

Fine-Grained Emotion Adaptive Alignment Network for Image Emotion Distribution Transfer. - Jing Zhang 041; Jixiang Zhu; Yumo Kang; Dongdong Li 003; Zhe Wang 002 (IEEE Trans. Affect. Comput., 2026)

MMFC-PFL: Multimodal Feature Collaborative Personalized Federated Learning. - Dongdong Li 003; Zhenqiang Weng; Jia Yao; Zhengji Xuan; Zhe Wang 002 (IEEE Trans. Netw. Sci. Eng., 2026)

An End-to-End Speaker Recognition Method Based on Multi-network Stacking. - Yihan Fan; Dongdong Li 003; Zhuo Yang (Circuits Syst. Signal Process., 2026)

FAD3QN: A Brain-Inspired Deep Reinforcement Learning Model for Speech Depression Detection. - Dongdong Li 003; Jia Yao; Zhe Wang 002; Yichao Yin (IEEE Trans. Comput. Soc. Syst., 2026)