Yong Peng
Orcid: 0000-0003-1208-972XAffiliations:
- Hangzhou Dianzi University, School of Computer Science, China
- Northwestern Polytechnical University, Center for OPTIMAL, Xi'an, China
- Civil Aviation Administration of China, CAAC, Key Laboratory of Flight Techniques and Flight Safety, Guanggan, China
- Shanghai Jiao Tong University, Department of Computer Science and Engineering, China (PhD 2015)
According to our database1,
Yong Peng
authored at least 84 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment.
Health Inf. Sci. Syst., December, 2024
Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition.
Medical Biol. Eng. Comput., September, 2024
Multim. Tools Appl., August, 2024
J. Classif., March, 2024
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases.
Comput. Biol. Medicine, March, 2024
DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis.
IEEE Trans. Multim., 2024
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.
CoRR, 2024
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Lifelong Learning.
CoRR, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024
AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2023
Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition.
J. King Saud Univ. Comput. Inf. Sci., September, 2023
Fine-grained imbalanced leukocyte classification with global-local attention transformer.
J. King Saud Univ. Comput. Inf. Sci., September, 2023
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
IEEE Trans. Ind. Informatics, July, 2023
Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation.
Neural Comput. Appl., May, 2023
IEEE Trans. Circuits Syst. Video Technol., April, 2023
Orthogonal semi-supervised regression with adaptive label dragging for cross-session EEG emotion recognition.
J. King Saud Univ. Comput. Inf. Sci., 2023
Weighted extreme learning machine for P300 detection with application to brain computer interface.
J. Ambient Intell. Humaniz. Comput., 2023
2022
A semi-supervised label distribution learning model with label correlations and data manifold exploration.
J. King Saud Univ. Comput. Inf. Sci., November, 2022
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection.
IEEE Trans. Instrum. Meas., 2022
S<sup>3</sup>LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2022
Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2022
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals.
IEEE Trans. Affect. Comput., 2022
Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG.
Syst., 2022
Transfer EEG Emotion Recognition by Combining Semi-Supervised Regression with Bipartite Graph Label Propagation.
Syst., 2022
EEG-Based Emotion Recognition by Retargeted Semi-Supervised Regression with Robust Weights.
Syst., 2022
Multim. Tools Appl., 2022
Re-transfer learning and multi-modal learning assisted early diagnosis of Alzheimer's disease.
Multim. Tools Appl., 2022
2021
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.
IEEE Trans. Instrum. Meas., 2021
Sensors, 2021
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation.
PeerJ Comput. Sci., 2021
Neural Networks, 2021
Fine-grained pornographic image recognition with multiple feature fusion transfer learning.
Int. J. Mach. Learn. Cybern., 2021
Auto-weighted concept factorization for joint feature map and data representation learning.
J. Intell. Fuzzy Syst., 2021
RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021
2020
Knowl. Based Syst., 2020
Low rank spectral regression via matrix factorization for efficient subspace learning.
J. Intell. Fuzzy Syst., 2020
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification.
Appl. Soft Comput., 2020
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020
Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-Based BCI.
Proceedings of the Intelligent Information Processing X, 2020
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images.
J. Intell. Fuzzy Syst., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification".
Complex., 2018
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification.
Complex., 2018
Fine-grained leukocyte classification with deep residual learning for microscopic images.
Comput. Methods Programs Biomed., 2018
Unsupervised Extreme Learning Machine via Structured Graph Construction for Data Clustering.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Robust structured sparse representation via half-quadratic optimization for face recognition.
Multim. Tools Appl., 2017
Discriminative extreme learning machine with supervised sparsity preserving for image classification.
Neurocomputing, 2017
Re2l: An efficient output-sensitive algorithm for computing Boolean operations on circular-arc polygons and its applications.
Comput. Aided Des., 2017
Identification of EEG features in stroke patients based on common spatial pattern and sparse representation classification.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
An unsupervised discriminative extreme learning machine and its applications to data clustering.
Neurocomputing, 2016
Discriminative manifold extreme learning machine and applications to image and EEG signal classification.
Neurocomputing, 2016
2015
Graph Based Semi-Supervised Learning via Structure Preserving Low-Rank Representation.
Neural Process. Lett., 2015
Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning.
Neural Networks, 2015
Discriminative graph regularized extreme learning machine and its application to face recognition.
Neurocomputing, 2015
Robust group sparse representation via half-quadratic optimization for face recognition.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015
2014
Graph regularized discriminative non-negative matrix factorization for face recognition.
Multim. Tools Appl., 2014
EEG-based emotion recognition using discriminative graph regularized extreme learning machine.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Recognizing slow eye movement for driver fatigue detection with machine learning approach.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimization.
Appl. Soft Comput., 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
2012
Immune clonal algorithm based feature selection for epileptic EEG signal classification.
Proceedings of the 11th International Conference on Information Science, 2012
2002
Performance of Reliable Transport Protocol over IEEE 802.11 Wireless LAN: Analysis and Enhancement.
Proceedings of the Proceedings IEEE INFOCOM 2002, 2002
Proceedings of the IEEE International Conference on Communications, 2002