IEEE 802.11 distributed coordination function (DCF): analysis and enhancement. - Haitao Wu; Shiduan Cheng; Yong Peng 001; Keping Long; Jian Ma 001 (ICC, 2002)

Performance of Reliable Transport Protocol over IEEE 802.11 Wireless LAN: Analysis and Enhancement. - Haitao Wu; Yong Peng 001; Keping Long; Shiduan Cheng; Jian Ma 001 (INFOCOM, 2002)

Immune clonal algorithm based feature selection for epileptic EEG signal classification. - Yong Peng 001; Bao-Liang Lu (ISSPA, 2012)

Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation. - Yong Peng 001; Shen Wang; Bao-Liang Lu (ICONIP (2), 2013)

Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition. - Yong Peng 001; Suhang Wang; Shen Wang; Bao-Liang Lu (ICONIP (2), 2013)

A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimization. - Yong Peng 001; Bao-Liang Lu (Appl. Soft Comput., 2013)

EEG-based emotion recognition with manifold regularized extreme learning machine. - Yong Peng 001; Jia-Yi Zhu; Wei-Long Zheng; Bao-Liang Lu (EMBC, 2014)

EEG-based emotion classification using deep belief networks. - Wei-Long Zheng; Jia-Yi Zhu; Yong Peng 001; Bao-Liang Lu (ICME, 2014)

Recognizing slow eye movement for driver fatigue detection with machine learning approach. - Yingying Jiao; Yong Peng 001; Bao-Liang Lu; Xiaoping Chen; Shanguang Chen; Chunhui Wang (IJCNN, 2014)

EEG-based emotion recognition using discriminative graph regularized extreme learning machine. - Jia-Yi Zhu; Wei-Long Zheng; Yong Peng 001; Ruo-Nan Duan; Bao-Liang Lu (IJCNN, 2014)

Graph regularized discriminative non-negative matrix factorization for face recognition. - Xianzhong Long; Hongtao Lu; Yong Peng 001; Wenbin Li (Multim. Tools Appl., 2014)

Robust group sparse representation via half-quadratic optimization for face recognition. - Yong Peng 001; Bao-Liang Lu (CCECE, 2015)

Discriminative graph regularized extreme learning machine and its application to face recognition. - Yong Peng 001; Suhang Wang; Xianzhong Long; Bao-Liang Lu (Neurocomputing, 2015)

Hybrid learning clonal selection algorithm. - Yong Peng 001; Bao-Liang Lu (Inf. Sci., 2015)

Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning. - Yong Peng 001; Bao-Liang Lu; Suhang Wang (Neural Networks, 2015)

Graph Based Semi-Supervised Learning via Structure Preserving Low-Rank Representation. - Yong Peng 001; Xianzhong Long; Bao-Liang Lu (Neural Process. Lett., 2015)

Discriminative manifold extreme learning machine and applications to image and EEG signal classification. - Yong Peng 001; Bao-Liang Lu (Neurocomputing, 2016)

An unsupervised discriminative extreme learning machine and its applications to data clustering. - Yong Peng 001; Wei-Long Zheng; Bao-Liang Lu (Neurocomputing, 2016)

Image classification based on improved VLAD. - Xianzhong Long; Hongtao Lu; Yong Peng 001; Xianzhong Wang; Shaokun Feng (Multim. Tools Appl., 2016)

Task-Free Brainprint Recognition Based on Degree of Brain Networks. - Wanzeng Kong; Qiaonan Fan; Luyun Wang; Bei Jiang; Yong Peng 001; Yanbin Zhang (ICONIP (2), 2017)

Identification of EEG features in stroke patients based on common spatial pattern and sparse representation classification. - Xuefeng Lei; Luyun Wang; Wanzeng Kong; Yong Peng 001; Sanqing Hu; Hong Zeng 002; Guojun Dai; Ruoyu Jin; Junfeng Sun; Shanbao Tong (NER, 2017)

Re2l: An efficient output-sensitive algorithm for computing Boolean operations on circular-arc polygons and its applications. - Zhi-Jie Wang 009; Xiao Lin; Mei-e Fang; Bin Yao 002; Yong Peng 001; Haibing Guan; Minyi Guo (Comput. Aided Des., 2017)

Orthogonal extreme learning machine for image classification. - Yong Peng 001; Wanzeng Kong; Bing Yang (Neurocomputing, 2017)

Discriminative extreme learning machine with supervised sparsity preserving for image classification. - Yong Peng 001; Bao-Liang Lu (Neurocomputing, 2017)

Robust structured sparse representation via half-quadratic optimization for face recognition. - Yong Peng 001; Bao-Liang Lu (Multim. Tools Appl., 2017)

A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG. - Jianhai Zhang; Jianting Cao; Na Zhang; Wanzeng Kong; Jiajia Tang; Yong Peng 001 (BIBM, 2018)

Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals. - Jianhai Zhang; Shaokai Zhao; Guodong Yang; Jiajia Tang; Tao Zhang 062; Yong Peng 001; Wanzeng Kong (BIBM, 2018)

Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. - Yong Peng 001; Rixin Tang; Wanzeng Kong; Feiwei Qin; Feiping Nie 001 (ICASSP, 2018)

Unsupervised Extreme Learning Machine via Structured Graph Construction for Data Clustering. - Leijie Zhang; Xin Zhu; Yong Peng 001; Wanzeng Kong (ISCID (2), 2018)

Fine-grained leukocyte classification with deep residual learning for microscopic images. - Feiwei Qin; Nannan Gao; Yong Peng 001; Zizhao Wu; Shuying Shen; Artur Grudtsin (Comput. Methods Programs Biomed., 2018)

Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. - Yong Peng 001; Wanzeng Kong; Feiwei Qin; Feiping Nie 001 (Complex., 2018)

Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification". - Yong Peng 001; Wanzeng Kong; Feiwei Qin; Feiping Nie 001 (Complex., 2018)

Integrated Modeling, Simulation, and Visualization for Nanomaterials. - Feiwei Qin; Haibin Xia; Yong Peng 001; Zizhao Wu (Complex., 2018)

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. - Yong Peng 001; Yanfang Long; Feiwei Qin; Wanzeng Kong; Feiping Nie 001; Andrzej Cichocki (ICASSP, 2019)

Joint Structured Graph Learning and Clustering Based on Concept Factorization. - Yong Peng 001; Rixin Tang; Wanzeng Kong; Jianhai Zhang; Feiping Nie 001; Andrzej Cichocki (ICASSP, 2019)

Joint Structured Graph Learning and Unsupervised Feature Selection. - Yong Peng 001; Leijie Zhang; Wanzeng Kong; Feiping Nie 001; Andrzej Cichocki (ICASSP, 2019)

Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images. - Qinghao Ye; Daijian Tu; Feiwei Qin; Zizhao Wu; Yong Peng 001; Shuying Shen (J. Intell. Fuzzy Syst., 2019)

Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. - Yong Peng 001; Qingxi Li; Wanzeng Kong; Jianhai Zhang; Bao-Liang Lu; Andrzej Cichocki (ICASSP, 2020)

A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition. - Yong Peng 001; Rixin Tang; Wanzeng Kong; Feiping Nie 001 (ICONIP (5), 2020)

Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-Based BCI. - Wenfen Ling; Feipeng Xu; Qiaonan Fan; Yong Peng 001; Wanzeng Kong (IIP, 2020)

A Review of Transfer Learning for EEG-Based Driving Fatigue Detection. - Jin Cui; Yong Peng 001; Kenji Ozawa; Wanzeng Kong (HBAI@IJCAI, 2020)

A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. - Yong Peng 001; Qingxi Li; Wanzeng Kong; Feiwei Qin; Jianhai Zhang; Andrzej Cichocki (Appl. Soft Comput., 2020)

Low rank spectral regression via matrix factorization for efficient subspace learning. - Yong Peng 001; Leijie Zhang; Wanzeng Kong; Feiwei Qin; Jianhai Zhang (J. Intell. Fuzzy Syst., 2020)

Joint low-rank representation and spectral regression for robust subspace learning. - Yong Peng 001; Leijie Zhang; Wanzeng Kong; Feiwei Qin; Jianhai Zhang (Knowl. Based Syst., 2020)

RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG. - Yuxuan Zhu; Yong Peng 001; Yang Song 010; Kenji Ozawa; Wanzeng Kong (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Fuzzy graph clustering. - Yong Peng 001; Xin Zhu; Feiping Nie 001; Wanzeng Kong; Yuan Ge (Inf. Sci., 2021)

Auto-weighted concept factorization for joint feature map and data representation learning. - Yikai Zhang 005; Yong Peng 001; Hongyu Bian; Yuan Ge; Feiwei Qin; Wanzeng Kong (J. Intell. Fuzzy Syst., 2021)

Fine-grained pornographic image recognition with multiple feature fusion transfer learning. - Xinnan Lin; Feiwei Qin; Yong Peng 001; Yanli Shao (Int. J. Mach. Learn. Cybern., 2021)

Recurrent neural network from adder's perspective: Carry-lookahead RNN. - Haowei Jiang; Feiwei Qin; Jin Cao; Yong Peng 001; Yanli Shao (Neural Networks, 2021)

A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation. - Wenna Huang; Yong Peng 001; Yuan Ge; Wanzeng Kong (PeerJ Comput. Sci., 2021)

Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition. - Fangyao Shen; Yong Peng 001; Wanzeng Kong; Guojun Dai (Sensors, 2021)

Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. - Yong Peng 001; Wanzeng Kong; Feiwei Qin; Feiping Nie 001; Jinglong Fang; Bao-Liang Lu; Andrzej Cichocki (IEEE Trans. Instrum. Meas., 2021)

Re-transfer learning and multi-modal learning assisted early diagnosis of Alzheimer's disease. - Meie Fang; Zhuxin Jin; Feiwei Qin; Yong Peng 001; Chao Jiang; Zhigeng Pan (Multim. Tools Appl., 2022)

Adaptive multi-task learning using lagrange multiplier for automatic art analysis. - Bing Yang; Xueqin Xiang; Wanzeng Kong; Yong Peng 001; Jinliang Yao (Multim. Tools Appl., 2022)

EEG-Based Emotion Recognition by Retargeted Semi-Supervised Regression with Robust Weights. - Ziyuan Chen; Shuzhe Duan; Yong Peng 001 (Syst., 2022)

Transfer EEG Emotion Recognition by Combining Semi-Supervised Regression with Bipartite Graph Label Propagation. - Wenzheng Li; Yong Peng 001 (Syst., 2022)

Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG. - Fangyao Shen; Yong Peng 001; Guojun Dai; Bao-Liang Lu; Wanzeng Kong (Syst., 2022)

Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. - Yong Peng 001; Wenjuan Wang; Wanzeng Kong; Feiping Nie 001; Bao-Liang Lu; Andrzej Cichocki (IEEE Trans. Affect. Comput., 2022)

GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. - Yong Peng 001; Feiwei Qin; Wanzeng Kong; Yuan Ge; Feiping Nie 001; Andrzej Cichocki (IEEE Trans. Cogn. Dev. Syst., 2022)

Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition. - Xing Li; Fangyao Shen; Yong Peng 001; Wanzeng Kong; Bao-Liang Lu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition. - Yong Peng 001; Yikai Zhang 005; Wanzeng Kong; Feiping Nie 001; Bao-Liang Lu; Andrzej Cichocki (IEEE Trans. Instrum. Meas., 2022)

An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection. - Yikai Zhang 005; Ruiqi Guo; Yong Peng 001; Wanzeng Kong; Feiping Nie 001; Bao-Liang Lu (IEEE Trans. Instrum. Meas., 2022)

A semi-supervised label distribution learning model with label correlations and data manifold exploration. - Ruiqi Guo; Yong Peng 001; Wanzeng Kong; Fan Li (J. King Saud Univ. Comput. Inf. Sci., 2022)

Weighted extreme learning machine for P300 detection with application to brain computer interface. - Wanzeng Kong; Shijie Guo; Yanfang Long; Yong Peng 001; Hong Zeng 002; Xinyu Zhang; Jianhai Zhang (J. Ambient Intell. Humaniz. Comput., 2023)

Orthogonal semi-supervised regression with adaptive label dragging for cross-session EEG emotion recognition. - Tianhui Sha; Yong Peng 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis. - Jiajia Tang; Dongjun Liu; Xuanyu Jin; Yong Peng 001; Qibin Zhao; Yu Ding 001; Wanzeng Kong (IEEE Trans. Circuits Syst. Video Technol., 2023)

Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation. - Jin Cao; Ran Xu; Xinnan Lin; Feiwei Qin; Yong Peng 001; Yanli Shao (Neural Comput. Appl., 2023)

Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. - Yong Peng 001; Honggang Liu; Wanzeng Kong; Feiping Nie 001; Bao-Liang Lu; Andrzej Cichocki (IEEE Trans. Ind. Informatics, 2023)

Two-Dimensional Embedded Fuzzy Data Clustering. - Yong Peng 001; Keding Chen; Feiping Nie 001; Bao-Liang Lu; Wanzeng Kong (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Fine-grained imbalanced leukocyte classification with global-local attention transformer. - Ben Chen; Feiwei Qin; Yanli Shao; Jin Cao; Yong Peng 001; Ruiquan Ge (J. King Saud Univ. Comput. Inf. Sci., 2023)

Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition. - Fengzhe Jin; Yong Peng 001; Feiwei Qin; Junhua Li; Wanzeng Kong (J. King Saud Univ. Comput. Inf. Sci., 2023)

JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization. - Yong Peng 001; Wenna Huang; Wanzeng Kong; Feiping Nie 001; Bao-Liang Lu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition. - Yuhang Ming 001; Jian Ma 001; Xingrui Yang 001; Weichen Dai 001; Yong Peng 001; Wanzeng Kong (ICASSP, 2024)

Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition. - Chengxi Zhu; Yong Peng 001; Yinfeng Fang; Wanzeng Kong (ICASSP, 2024)

Infrared Image Super-Resolution via Lightweight Information Split Network. - Shijie Liu; Kang Yan; Feiwei Qin; Changmiao Wang; Ruiquan Ge; Kai Zhang 008; Jie Huang; Yong Peng 001; Jin Cao (ICIC (8), 2024)

VQ-NeRV: A Vector Quantized Neural Representation for Videos. - Yunjie Xu; Xiang Feng; Feiwei Qin; Ruiquan Ge; Yong Peng 001; Changmiao Wang (CoRR, 2024)

VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Lifelong Learning. - Yuhang Ming 001; Minyang Xu; Xingrui Yang 001; Weicai Ye; Weihan Wang; Yong Peng 001; Weichen Dai 001; Wanzeng Kong (CoRR, 2024)

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. - Yifei Chen; Shenghao Zhu; Zhaojie Fang; Chang Liu 090; Binfeng Zou; Yuhe Wang; Shuo Chang; Fan Jia; Feiwei Qin; Jin Fan; Yong Peng 001; Changmiao Wang (CoRR, 2024)

Semi-supervised kernel discriminative low-rank ridge regression for data classification. - Qi Zhu; Yong Peng 001 (Int. Arab J. Inf. Technol., 2024)

DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis. - Bing Yang; Xueqin Xiang; Wanzeng Kong; Jianhai Zhang; Yong Peng 001 (IEEE Trans. Multim., 2024)

Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases. - Yifei Chen; Chenyan Zhang; Ben Chen; Yiyu Huang; Yifei Sun 005; Changmiao Wang; Xianjun Fu; Yuxing Dai; Feiwei Qin; Yong Peng 001; Yu Gao (Comput. Biol. Medicine, 2024)

Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. - Keding Chen; Yong Peng 001; Feiping Nie 001; Wanzeng Kong (J. Classif., 2024)

LKFormer: large kernel transformer for infrared image super-resolution. - Feiwei Qin; Kang Yan; Changmiao Wang; Ruiquan Ge; Yong Peng 001; Kai Zhang 008 (Multim. Tools Appl., 2024)

Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition. - Bowen Pang; Yong Peng 001; Jian Gao; Wanzeng Kong (Medical Biol. Eng. Comput., 2024)

Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment. - Xing Li; Yikai Zhang 005; Yong Peng 001; Wanzeng Kong (Health Inf. Sci. Syst., 2024)

Deep Transfer Regression for EEG-based Driving Fatigue Detection. - Yikai Zhang 005; Yong Peng 001; Ziyue Yang; Feiwei Qin; Wanzeng Kong (ICASSP, 2025)

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. - Yifei Chen; Shenghao Zhu; Zhaojie Fang; Chang Liu 090; Binfeng Zou; Linwei Qiu; Yuhe Wang; Shuo Chang; Fan Jia; Feiwei Qin; Jin Fan; Yong Peng 001; et al. (ICASSP, 2025)

Effective feature-sample co-clustering by adaptive feature-sample co-weighting. - Yiyan Wang; Mimi Jin; Yuxin Chen; Yong Peng 001; Ziyue Yang; Feiping Nie 001; Andrzej Cichocki; Wanzeng Kong (Inf. Sci., 2025)

Adaptive Feature-Weighted Local-Global Clustering. - Mimi Jin; Yiyan Wang; Yong Peng 001; Feiping Nie 001; Andrzej Cichocki (IEEE Signal Process. Lett., 2025)

Adaptive Multi-Granularity Information Exploration for EEG-Based Speech Recognition. - Guoguo Ye; Qiqi Chen; Zhiyang Kong; Mingrui Zhou; Yong Peng 001 (IEEE Signal Process. Lett., 2025)

DARN: A Dual Attention Refinement Network for Enhancing Feature Robustness in VEP-Based EEG Biometrics. - Honggang Liu; Han Yang; Dongjun Liu; Hangjie Yi; Bingfeng He; Yong Peng 001; Wanzeng Kong (IEEE Trans. Inf. Forensics Secur., 2025)

CoAdapt: Collaborative Adaptation Between Latent EEG Feature Representation and Annotation for Emotion Decoding. - Xiaoxiao Gong; Yuxin Chen; Pengfei Zhang; Yong Peng 001; Jinglong Fang; Andrzej Cichocki (IEEE Trans. Instrum. Meas., 2025)

Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection. - Ziyue Yang; Kehan Wang; Yuhang Ming 001; Yong Peng 001; Han Yang; Qiong Chen; Wanzeng Kong (CoRR, 2025)

CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks. - Ziyue Yang; Chengrui Chen; Yong Peng 001; Qiong Chen; Wanzeng Kong (CoRR, 2025)

VIPeR: Visual Incremental Place Recognition With Adaptive Mining and Continual Learning. - Yuhang Ming 001; Minyang Xu; Xingrui Yang 001; Weicai Ye; Weihan Wang; Yong Peng 001; Weichen Dai 001; Wanzeng Kong (IEEE Robotics Autom. Lett., 2025)

Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model. - Changwei Wu; Yifei Chen; Yuxin Du; Jinying Zong; Jie Dong; Mingxuan Liu; Yong Peng 001; Jin Fan; Feiwei Qin; Changmiao Wang (CoRR, 2025)

Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis. - Jiajia Tang; Binbin Ni; Feiwei Zhou; Dongjun Liu; Yu Ding 001; Yong Peng 001; Andrzej Cichocki; Qibin Zhao; Wanzeng Kong (ACM Trans. Multim. Comput. Commun. Appl., 2025)