Yong Peng

118 papers A* 1A 1B 2Misc 9Journal 89Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Local-Global Fusion Vision Mamba UNet Framework for medical image segmentation.
Eng. Appl. Artif. Intell.
Yanbo Li, Zihan Mao, Feiwei Qin, Yong Peng, Guodao Zhang, Xugang Xi, Xiaoqin Ma, Huanhuan Yu, Yu Zhou, Zhu Zhu
2026 J jnl
DRFNet: Enhancing Identity Discriminability and Feature Robustness for Cross-Session VEP-Based EEG Biometrics.
IEEE J. Biomed. Health Informatics
Honggang Liu, Han Yang, Dongjun Liu, Xuanyu Jin, Yong Peng, Wanzeng Kong
2026 J jnl
EEG-based emotion identification from nerve conduction mechanisms: A gustatory-emotion coupling model combined with multiblock attention module.
Expert Syst. Appl.
Wenbo Zheng, Yong Peng, Ancai Zhang, Quan Yuan
2026 J jnl
GaborNet: attention based Gabor convolutional networks for contactless palmprint recognition.
Multim. Tools Appl.
Bing Yang, Xueqin Xiang, Wanzeng Kong, Yong Peng, Jianhai Zhang
2026 J jnl
Multi-View Manifold-Adaptive Kernel Regression for Speech Classification From EEG Signals.
IEEE Signal Process. Lett.
Xie He, Qi Cui, Chang Wu, Yong Peng, Wanzeng Kong
2026 J jnl
Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification.
IEEE J. Biomed. Health Informatics
Yong Peng, Jiangchuan Liu, Honggang Liu, Natasha M. J. Padfield, Junhua Li, Wanzeng Kong, Bao-Liang Lu, Andrzej Cichocki
2026 J jnl
Prototype Distance and Local Manifold Guided Sample-Weighted Kernel Clustering.
IEEE Signal Process. Lett.
Chang Wu, Pengxin Xu, Zhaohu Liu, Luyun Wang, Yong Peng
2026 J jnl
Towards practical Alzheimer's Disease diagnosis: A lightweight and interpretable spiking neural model.
Biomed. Signal Process. Control.
Changwei Wu, Yifei Chen, Yuxin Du, Jinying Zong, Jie Dong, Mingxuan Liu, Feiwei Qin, Yong Peng, Jin Fan, Chaomiao Wang
2026 J jnl
VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors.
CoRR
Yuhang Ming, Tingkang Xi, Xingrui Yang, Lixin Yang, Yong Peng, Cewu Lu, Wanzeng Kong
2025 J jnl
Adaptive Feature-Weighted Local-Global Clustering.
IEEE Signal Process. Lett.
Mimi Jin, Yiyan Wang, Yong Peng, Feiping Nie, Andrzej Cichocki
2025 J jnl
Adaptive Multi-Granularity Information Exploration for EEG-Based Speech Recognition.
IEEE Signal Process. Lett.
Guoguo Ye, Qiqi Chen, Zhiyang Kong, Mingrui Zhou, Yong Peng
2025 J jnl
Brain-HGCN: A Hyperbolic Graph Convolutional Network for Brain Functional Network Analysis.
CoRR
Junhao Jia, Yunyou Liu, Cheng Yang, Yifei Sun, Feiwei Qin, Changmiao Wang, Yong Peng
2025 J jnl
CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks.
CoRR
Ziyue Yang, Chengrui Chen, Yong Peng, Qiong Chen, Wanzeng Kong
2025 J jnl
CoAdapt: Collaborative Adaptation Between Latent EEG Feature Representation and Annotation for Emotion Decoding.
IEEE Trans. Instrum. Meas.
Xiaoxiao Gong, Yuxin Chen, Pengfei Zhang, Yong Peng, Jinglong Fang, Andrzej Cichocki
2025 J jnl
Cross-modal knowledge distillation for enhanced depression detection.
Complex Intell. Syst.
Huang Huang, Xinhui Li, Minchao Wu, Zhao Lv, Yong Peng
2025 J jnl
DARN: A Dual Attention Refinement Network for Enhancing Feature Robustness in VEP-Based EEG Biometrics.
IEEE Trans. Inf. Forensics Secur.
Honggang Liu, Han Yang, Dongjun Liu, Hangjie Yi, Bingfeng He, Yong Peng, Wanzeng Kong
2025 Misc conf
Deep Transfer Regression for EEG-based Driving Fatigue Detection.
ICASSP
Yikai Zhang, Yong Peng, Ziyue Yang, Feiwei Qin, Wanzeng Kong
2025 J jnl
Effective feature-sample co-clustering by adaptive feature-sample co-weighting.
Inf. Sci.
Yiyan Wang, Mimi Jin, Yuxin Chen, Yong Peng, Ziyue Yang, Feiping Nie, Andrzej Cichocki, Wanzeng Kong
2025 J jnl
Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis.
ACM Trans. Multim. Comput. Commun. Appl.
Jiajia Tang, Binbin Ni, Feiwei Zhou, Dongjun Liu, Yu Ding, Yong Peng, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong
2025 J jnl
Geodesic Prototype Matching via Diffusion Maps for Interpretable Fine-Grained Recognition.
CoRR
Junhao Jia, Yunyou Liu, Yifei Sun, Huangwei Chen, Feiwei Qin, Changmiao Wang, Yong Peng
2025 J jnl
Imagined Speech Decoding by Learning Consensus Graph From RKHS-Based Multi-View EEG Features.
IEEE Signal Process. Lett.
Zhenye Zhao, Yong Peng, Kenneth P. Camilleri, Wanzeng Kong, Andrzej Cichocki
2025 J jnl
LA-YOLO: Location Refinement and Adjacent Feature Fusion-Based Infrared Small Target Detection.
CAAI Trans. Intell. Technol.
Shijie Liu, Chenqi Luo, Kang Yan, Feiwei Qin, Ruiquan Ge, Yong Peng, Jie Huang, Nenggan Zheng, Yongquan Zhang, Changmiao Wang
2025 — conf
RTGMFF: Enhanced fMRI-Based Brain Disorder Diagnosis via ROI-Driven Text Generation and Multimodal Feature Fusion.
BIBM
Junhao Jia, Yifei Sun, Yunyou Liu, Cheng Yang, Changmiao Wang, Feiwei Qin, Yong Peng, Wenwen Min
2025 J jnl
RTGMFF: Enhanced fMRI-based Brain Disorder Diagnosis via ROI-driven Text Generation and Multimodal Feature Fusion.
CoRR
Junhao Jia, Yifei Sun, Yunyou Liu, Cheng Yang, Changmiao Wang, Feiwei Qin, Yong Peng, Wenwen Min
2025 Misc conf
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.
ICASSP
Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Linwei Qiu, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin, Jin Fan, Yong Peng, Changmiao Wang
2025 J jnl
Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model.
CoRR
Changwei Wu, Yifei Chen, Yuxin Du, Jinying Zong, Jie Dong, Mingxuan Liu, Yong Peng, Jin Fan, Feiwei Qin, Changmiao Wang
2025 J jnl
Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection.
CoRR
Ziyue Yang, Kehan Wang, Yuhang Ming, Yong Peng, Han Yang, Qiong Chen, Wanzeng Kong
2025 J jnl
VIPeR: Visual Incremental Place Recognition With Adaptive Mining and Continual Learning.
IEEE Robotics Autom. Lett.
Yuhang Ming, Minyang Xu, Xingrui Yang, Weicai Ye, Weihan Wang, Yong Peng, Weichen Dai, Wanzeng Kong
2024 Misc conf
AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition.
ICASSP
Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong
2024 J jnl
Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases.
CoRR
Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao
2024 J jnl
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases.
Comput. Biol. Medicine
Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao
2024 J jnl
DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis.
IEEE Trans. Multim.
Bing Yang, Xueqin Xiang, Wanzeng Kong, Jianhai Zhang, Yong Peng
2024 J jnl
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment.
Health Inf. Sci. Syst.
Xing Li, Yikai Zhang, Yong Peng, Wanzeng Kong
2024 — conf
Infrared Image Super-Resolution via Lightweight Information Split Network.
ICIC (8)
Shijie Liu, Kang Yan, Feiwei Qin, Changmiao Wang, Ruiquan Ge, Kai Zhang, Jie Huang, Yong Peng, Jin Cao
2024 J jnl
Infrared Image Super-Resolution via Lightweight Information Split Network.
CoRR
Shijie Liu, Kang Yan, Feiwei Qin, Changmiao Wang, Ruiquan Ge, Kai Zhang, Jie Huang, Yong Peng, Jin Cao
2024 J jnl
LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution.
CoRR
Feiwei Qin, Kang Yan, Changmiao Wang, Ruiquan Ge, Yong Peng, Kai Zhang
2024 J jnl
LKFormer: large kernel transformer for infrared image super-resolution.
Multim. Tools Appl.
Feiwei Qin, Kang Yan, Changmiao Wang, Ruiquan Ge, Yong Peng, Kai Zhang
2024 Misc conf
Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition.
ICASSP
Chengxi Zhu, Yong Peng, Yinfeng Fang, Wanzeng Kong
2024 J jnl
Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition.
Medical Biol. Eng. Comput.
Bowen Pang, Yong Peng, Jian Gao, Wanzeng Kong
2024 J jnl
Semi-supervised kernel discriminative low-rank ridge regression for data classification.
Int. Arab J. Inf. Technol.
Qi Zhu, Yong Peng
2024 J jnl
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection.
J. Classif.
Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong
2024 J jnl
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.
CoRR
Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin, Jin Fan, Yong Peng, Changmiao Wang
2024 J jnl
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Lifelong Learning.
CoRR
Yuhang Ming, Minyang Xu, Xingrui Yang, Weicai Ye, Weihan Wang, Yong Peng, Weichen Dai, Wanzeng Kong
2024 J jnl
VQ-NeRV: A Vector Quantized Neural Representation for Videos.
CoRR
Yunjie Xu, Xiang Feng, Feiwei Qin, Ruiquan Ge, Yong Peng, Changmiao Wang
2023 J jnl
AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition.
CoRR
Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong
2023 J jnl
Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation.
Neural Comput. Appl.
Jin Cao, Ran Xu, Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao
2023 J jnl
BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis.
IEEE Trans. Circuits Syst. Video Technol.
Jiajia Tang, Dongjun Liu, Xuanyu Jin, Yong Peng, Qibin Zhao, Yu Ding, Wanzeng Kong
2023 J jnl
Fine-grained imbalanced leukocyte classification with global-local attention transformer.
J. King Saud Univ. Comput. Inf. Sci.
Ben Chen, Feiwei Qin, Yanli Shao, Jin Cao, Yong Peng, Ruiquan Ge
2023 J jnl
Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition.
J. King Saud Univ. Comput. Inf. Sci.
Fengzhe Jin, Yong Peng, Feiwei Qin, Junhua Li, Wanzeng Kong
2023 J jnl
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
2023 J jnl
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition.
IEEE Trans. Ind. Informatics
Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2023 J jnl
Orthogonal semi-supervised regression with adaptive label dragging for cross-session EEG emotion recognition.
J. King Saud Univ. Comput. Inf. Sci.
Tianhui Sha, Yong Peng
2023 J jnl
Two-Dimensional Embedded Fuzzy Data Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong
2023 J jnl
Weighted extreme learning machine for P300 detection with application to brain computer interface.
J. Ambient Intell. Humaniz. Comput.
Wanzeng Kong, Shijie Guo, Yanfang Long, Yong Peng, Hong Zeng, Xinyu Zhang, Jianhai Zhang
2022 J jnl
A semi-supervised label distribution learning model with label correlations and data manifold exploration.
J. King Saud Univ. Comput. Inf. Sci.
Ruiqi Guo, Yong Peng, Wanzeng Kong, Fan Li
2022 J jnl
Adaptive multi-task learning using lagrange multiplier for automatic art analysis.
Multim. Tools Appl.
Bing Yang, Xueqin Xiang, Wanzeng Kong, Yong Peng, Jinliang Yao
2022 J jnl
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection.
IEEE Trans. Instrum. Meas.
Yikai Zhang, Ruiqi Guo, Yong Peng, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
2022 J jnl
Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG.
Syst.
Fangyao Shen, Yong Peng, Guojun Dai, Bao-Liang Lu, Wanzeng Kong
2022 J jnl
EEG-Based Emotion Recognition by Retargeted Semi-Supervised Regression with Robust Weights.
Syst.
Ziyuan Chen, Shuzhe Duan, Yong Peng
2022 J jnl
Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition.
IEEE Trans. Circuits Syst. II Express Briefs
Xing Li, Fangyao Shen, Yong Peng, Wanzeng Kong, Bao-Liang Lu
2022 J jnl
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst.
Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki
2022 J jnl
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals.
IEEE Trans. Affect. Comput.
Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2022 J jnl
Re-transfer learning and multi-modal learning assisted early diagnosis of Alzheimer's disease.
Multim. Tools Appl.
Meie Fang, Zhuxin Jin, Feiwei Qin, Yong Peng, Chao Jiang, Zhigeng Pan
2022 J jnl
S
IEEE Trans. Instrum. Meas.
Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2022 J jnl
Transfer EEG Emotion Recognition by Combining Semi-Supervised Regression with Bipartite Graph Label Propagation.
Syst.
Wenzheng Li, Yong Peng
2021 J jnl
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation.
PeerJ Comput. Sci.
Wenna Huang, Yong Peng, Yuan Ge, Wanzeng Kong
2021 J jnl
Auto-weighted concept factorization for joint feature map and data representation learning.
J. Intell. Fuzzy Syst.
Yikai Zhang, Yong Peng, Hongyu Bian, Yuan Ge, Feiwei Qin, Wanzeng Kong
2021 J jnl
Fine-grained pornographic image recognition with multiple feature fusion transfer learning.
Int. J. Mach. Learn. Cybern.
Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao
2021 J jnl
Fuzzy graph clustering.
Inf. Sci.
Yong Peng, Xin Zhu, Feiping Nie, Wanzeng Kong, Yuan Ge
2021 J jnl
Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition.
Sensors
Fangyao Shen, Yong Peng, Wanzeng Kong, Guojun Dai
2021 J jnl
RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuxuan Zhu, Yong Peng, Yang Song, Kenji Ozawa, Wanzeng Kong
2021 J jnl
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN.
CoRR
Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao
2021 J jnl
Recurrent neural network from adder's perspective: Carry-lookahead RNN.
Neural Networks
Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao
2021 J jnl
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.
IEEE Trans. Instrum. Meas.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki
2020 — conf
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition.
ICONIP (5)
Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie
2020 — conf
A Review of Transfer Learning for EEG-Based Driving Fatigue Detection.
HBAI@IJCAI
Jin Cui, Yong Peng, Kenji Ozawa, Wanzeng Kong
2020 J jnl
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification.
Appl. Soft Comput.
Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki
2020 — conf
Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-Based BCI.
IIP
Wenfen Ling, Feipeng Xu, Qiaonan Fan, Yong Peng, Wanzeng Kong
2020 Misc conf
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation.
ICASSP
Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki
2020 J jnl
Joint low-rank representation and spectral regression for robust subspace learning.
Knowl. Based Syst.
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang
2020 J jnl
Low rank spectral regression via matrix factorization for efficient subspace learning.
J. Intell. Fuzzy Syst.
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang
2019 J jnl
Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images.
J. Intell. Fuzzy Syst.
Qinghao Ye, Daijian Tu, Feiwei Qin, Zizhao Wu, Yong Peng, Shuying Shen
2019 Misc conf
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization.
ICASSP
Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
2019 Misc conf
Joint Structured Graph Learning and Clustering Based on Concept Factorization.
ICASSP
Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki
2019 Misc conf
Joint Structured Graph Learning and Unsupervised Feature Selection.
ICASSP
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
2018 — conf
A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG.
BIBM
Jianhai Zhang, Jianting Cao, Na Zhang, Wanzeng Kong, Jiajia Tang, Yong Peng
2018 J jnl
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification".
Complex.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 — conf
Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals.
BIBM
Jianhai Zhang, Shaokai Zhao, Guodong Yang, Jiajia Tang, Tao Zhang, Yong Peng, Wanzeng Kong
2018 J jnl
Fine-grained leukocyte classification with deep residual learning for microscopic images.
Comput. Methods Programs Biomed.
Feiwei Qin, Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin
2018 J jnl
Integrated Modeling, Simulation, and Visualization for Nanomaterials.
Complex.
Feiwei Qin, Haibin Xia, Yong Peng, Zizhao Wu
2018 J jnl
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification.
Complex.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 Misc conf
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation.
ICASSP
Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 — conf
Unsupervised Extreme Learning Machine via Structured Graph Construction for Data Clustering.
ISCID (2)
Leijie Zhang, Xin Zhu, Yong Peng, Wanzeng Kong
2017 J jnl
Discriminative extreme learning machine with supervised sparsity preserving for image classification.
Neurocomputing
Yong Peng, Bao-Liang Lu
2017 — conf
Identification of EEG features in stroke patients based on common spatial pattern and sparse representation classification.
NER
Xuefeng Lei, Luyun Wang, Wanzeng Kong, Yong Peng, Sanqing Hu, Hong Zeng, Guojun Dai, Ruoyu Jin, Junfeng Sun, Shanbao Tong
2017 J jnl
Orthogonal extreme learning machine for image classification.
Neurocomputing
Yong Peng, Wanzeng Kong, Bing Yang
2017 J jnl
Re2l: An efficient output-sensitive algorithm for computing Boolean operations on circular-arc polygons and its applications.
Comput. Aided Des.
Zhi-Jie Wang, Xiao Lin, Mei-e Fang, Bin Yao, Yong Peng, Haibing Guan, Minyi Guo
2017 J jnl
Robust structured sparse representation via half-quadratic optimization for face recognition.
Multim. Tools Appl.
Yong Peng, Bao-Liang Lu
2017 — conf
Task-Free Brainprint Recognition Based on Degree of Brain Networks.
ICONIP (2)
Wanzeng Kong, Qiaonan Fan, Luyun Wang, Bei Jiang, Yong Peng, Yanbin Zhang
2016 J jnl
An unsupervised discriminative extreme learning machine and its applications to data clustering.
Neurocomputing
Yong Peng, Wei-Long Zheng, Bao-Liang Lu
2016 J jnl
Discriminative manifold extreme learning machine and applications to image and EEG signal classification.
Neurocomputing
Yong Peng, Bao-Liang Lu
2016 J jnl
Image classification based on improved VLAD.
Multim. Tools Appl.
Xianzhong Long, Hongtao Lu, Yong Peng, Xianzhong Wang, Shaokun Feng
2015 J jnl
Discriminative graph regularized extreme learning machine and its application to face recognition.
Neurocomputing
Yong Peng, Suhang Wang, Xianzhong Long, Bao-Liang Lu
2015 J jnl
Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning.
Neural Networks
Yong Peng, Bao-Liang Lu, Suhang Wang
2015 J jnl
Graph Based Semi-Supervised Learning via Structure Preserving Low-Rank Representation.
Neural Process. Lett.
Yong Peng, Xianzhong Long, Bao-Liang Lu
2015 J jnl
Hybrid learning clonal selection algorithm.
Inf. Sci.
Yong Peng, Bao-Liang Lu
2015 — conf
Robust group sparse representation via half-quadratic optimization for face recognition.
CCECE
Yong Peng, Bao-Liang Lu
2014 A conf
EEG-based emotion classification using deep belief networks.
ICME
Wei-Long Zheng, Jia-Yi Zhu, Yong Peng, Bao-Liang Lu
2014 B conf
EEG-based emotion recognition using discriminative graph regularized extreme learning machine.
IJCNN
Jia-Yi Zhu, Wei-Long Zheng, Yong Peng, Ruo-Nan Duan, Bao-Liang Lu
2014 — conf
EEG-based emotion recognition with manifold regularized extreme learning machine.
EMBC
Yong Peng, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu
2014 J jnl
Graph regularized discriminative non-negative matrix factorization for face recognition.
Multim. Tools Appl.
Xianzhong Long, Hongtao Lu, Yong Peng, Wenbin Li
2014 B conf
Recognizing slow eye movement for driver fatigue detection with machine learning approach.
IJCNN
Yingying Jiao, Yong Peng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang
2013 J jnl
A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimization.
Appl. Soft Comput.
Yong Peng, Bao-Liang Lu
2013 — conf
Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation.
ICONIP (2)
Yong Peng, Shen Wang, Bao-Liang Lu
2013 — conf
Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition.
ICONIP (2)
Yong Peng, Suhang Wang, Shen Wang, Bao-Liang Lu
2012 — conf
Immune clonal algorithm based feature selection for epileptic EEG signal classification.
ISSPA
Yong Peng, Bao-Liang Lu
2002 — conf
IEEE 802.11 distributed coordination function (DCF): analysis and enhancement.
ICC
Haitao Wu, Shiduan Cheng, Yong Peng, Keping Long, Jian Ma
2002 A* conf
Performance of Reliable Transport Protocol over IEEE 802.11 Wireless LAN: Analysis and Enhancement.
INFOCOM
Haitao Wu, Yong Peng, Keping Long, Shiduan Cheng, Jian Ma