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ORCIDYong Peng 0001
Person information
- affiliation: Hangzhou Dianzi University, School of Computer Science, China
- affiliation: Northwestern Polytechnical University, Center for OPTIMAL, Xi'an, China
- affiliation: Civil Aviation Administration of China, CAAC, Key Laboratory of Flight Techniques and Flight Safety, Guanggan, China
- affiliation (PhD 2015): Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
Other persons with the same name
- Yong Peng — disambiguation page
- Yong Peng 0002
![[0000-0003-0101-0342]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0101-0342")
— Central South University, Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Changsha, China (and 1 more) - Yong Peng 0003 — Sichuan University, Laboratory of Molecular Oncology, Frontiers Science Center for Disease-related Molecular Network, Chengdu, China (and 1 more)
- Yong Peng 0004 — Southwest Petroleum University, Petroleum Engineering School, Chengdu, China
- Yong Peng 0005 — China Information Technology Security Evaluation Center, CNITSEC, Technical Assessment Research Lab, Beijing, China
- Yong Peng 0006 — National University of Defense Technology, College of Systems Engineering, Changsha, Hunan, China
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2020 – today
- 2024
[j53]Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao:
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases. Comput. Biol. Medicine 170: 107917 (2024)- [j52]Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong:
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. J. Classif. 41(1): 129-157 (2024) - [j51]Xing Li, Yikai Zhang, Yong Peng, Wanzeng Kong:
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment. Health Inf. Sci. Syst. 12(1): 9 (2024) - [j50]Bing Yang, Xueqin Xiang, Wanzeng Kong, Jianhai Zhang, Yong Peng:
DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis. IEEE Trans. Multim. 26: 6956-6967 (2024) - [i4]Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao:
Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases. CoRR abs/2401.00926 (2024) - [i3]Feiwei Qin, Kang Yan, Changmiao Wang, Ruiquan Ge, Yong Peng, Kai Zhang:
LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution. CoRR abs/2401.11859 (2024) - 2023
- [j49]Wanzeng Kong, Shijie Guo, Yanfang Long, Yong Peng, Hong Zeng, Xinyu Zhang, Jianhai Zhang:
Weighted extreme learning machine for P300 detection with application to brain computer interface. J. Ambient Intell. Humaniz. Comput. 14(11): 15545-15555 (2023) - [j48]Tianhui Sha, Yong Peng:
Orthogonal semi-supervised regression with adaptive label dragging for cross-session EEG emotion recognition. J. King Saud Univ. Comput. Inf. Sci. 35(4): 139-151 (2023) - [j47]Fengzhe Jin, Yong Peng, Feiwei Qin, Junhua Li, Wanzeng Kong:
Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101648 (2023) - [j46]Ben Chen, Feiwei Qin, Yanli Shao, Jin Cao, Yong Peng, Ruiquan Ge:
Fine-grained imbalanced leukocyte classification with global-local attention transformer. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101661 (2023) - [j45]Jin Cao, Ran Xu, Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao:
Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation. Neural Comput. Appl. 35(13): 9593-9606 (2023) - [j44]Jiajia Tang, Dongjun Liu, Xuanyu Jin, Yong Peng, Qibin Zhao, Yu Ding, Wanzeng Kong:
BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1966-1978 (2023) - [j43]Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong:
Two-Dimensional Embedded Fuzzy Data Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1263-1275 (2023) - [j42]Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu:
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1687-1701 (2023) - [j41]Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. IEEE Trans. Ind. Informatics 19(7): 8104-8115 (2023) - [i2]Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong:
AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition. CoRR abs/2312.09538 (2023) - 2022
- [j40]Ruiqi Guo, Yong Peng, Wanzeng Kong, Fan Li:
A semi-supervised label distribution learning model with label correlations and data manifold exploration. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 10094-10108 (2022) - [j39]Bing Yang, Xueqin Xiang, Wanzeng Kong, Yong Peng, Jinliang Yao:
Adaptive multi-task learning using lagrange multiplier for automatic art analysis. Multim. Tools Appl. 81(3): 3715-3733 (2022) - [j38]Meie Fang, Zhuxin Jin, Feiwei Qin, Yong Peng, Chao Jiang, Zhigeng Pan:
Re-transfer learning and multi-modal learning assisted early diagnosis of Alzheimer's disease. Multim. Tools Appl. 81(20): 29159-29175 (2022) - [j37]Fangyao Shen, Yong Peng, Guojun Dai, Bao-Liang Lu, Wanzeng Kong:
Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG. Syst. 10(2): 47 (2022) - [j36]Wenzheng Li, Yong Peng:
Transfer EEG Emotion Recognition by Combining Semi-Supervised Regression with Bipartite Graph Label Propagation. Syst. 10(4): 111 (2022) - [j35]Ziyuan Chen, Shuzhe Duan, Yong Peng:
EEG-Based Emotion Recognition by Retargeted Semi-Supervised Regression with Robust Weights. Syst. 10(6): 236 (2022) - [j34]Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. 13(4): 1941-1958 (2022) - [j33]Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki:
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14(3): 935-947 (2022) - [j32]Xing Li, Fangyao Shen, Yong Peng, Wanzeng Kong, Bao-Liang Lu:
Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition. IEEE Trans. Circuits Syst. II Express Briefs 69(7): 3349-3353 (2022) - [j31]Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j30]Yikai Zhang, Ruiqi Guo, Yong Peng, Wanzeng Kong, Feiping Nie, Bao-Liang Lu:
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - 2021
- [j29]Yuxuan Zhu, Yong Peng, Yang Song, Kenji Ozawa, Wanzeng Kong:
RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(2): 563-571 (2021) - [j28]Yong Peng, Xin Zhu, Feiping Nie, Wanzeng Kong, Yuan Ge:
Fuzzy graph clustering. Inf. Sci. 571: 38-49 (2021) - [j27]Yikai Zhang, Yong Peng, Hongyu Bian, Yuan Ge, Feiwei Qin, Wanzeng Kong:
Auto-weighted concept factorization for joint feature map and data representation learning. J. Intell. Fuzzy Syst. 41(1): 69-81 (2021) - [j26]Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao:
Fine-grained pornographic image recognition with multiple feature fusion transfer learning. Int. J. Mach. Learn. Cybern. 12(1): 73-86 (2021) - [j25]Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao:
Recurrent neural network from adder's perspective: Carry-lookahead RNN. Neural Networks 144: 297-306 (2021) - [j24]Wenna Huang, Yong Peng, Yuan Ge, Wanzeng Kong:
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation. PeerJ Comput. Sci. 7: e450 (2021) - [j23]Fangyao Shen, Yong Peng, Wanzeng Kong, Guojun Dai:
Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition. Sensors 21(4): 1262 (2021) - [j22]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki:
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [i1]Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao:
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN. CoRR abs/2106.12901 (2021) - 2020
- [j21]Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki:
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. Appl. Soft Comput. 97(Part): 106756 (2020) - [j20]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang:
Low rank spectral regression via matrix factorization for efficient subspace learning. J. Intell. Fuzzy Syst. 39(3): 3401-3412 (2020) - [j19]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang:
Joint low-rank representation and spectral regression for robust subspace learning. Knowl. Based Syst. 195: 105723 (2020) - [c21]Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki:
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. ICASSP 2020: 946-950 - [c20]Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie:
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition. ICONIP (5) 2020: 11-20 - [c19]Wenfen Ling, Feipeng Xu, Qiaonan Fan, Yong Peng, Wanzeng Kong:
Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-Based BCI. Intelligent Information Processing 2020: 169-179 - [c18]Jin Cui, Yong Peng, Kenji Ozawa, Wanzeng Kong:
A Review of Transfer Learning for EEG-Based Driving Fatigue Detection. HBAI@IJCAI 2020: 149-162
2010 – 2019
- 2019
- [j18]Qinghao Ye, Daijian Tu, Feiwei Qin, Zizhao Wu, Yong Peng, Shuying Shen:
Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images. J. Intell. Fuzzy Syst. 37(5): 6971-6982 (2019) - [c17]Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP 2019: 3107-3111 - [c16]Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP 2019: 3162-3166 - [c15]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Unsupervised Feature Selection. ICASSP 2019: 3572-3576 - 2018
- [j17]Feiwei Qin, Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin:
Fine-grained leukocyte classification with deep residual learning for microscopic images. Comput. Methods Programs Biomed. 162: 243-252 (2018) - [j16]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. Complex. 2018: 2857594:1-2857594:11 (2018) - [j15]Feiwei Qin, Haibin Xia, Yong Peng, Zizhao Wu:
Integrated Modeling, Simulation, and Visualization for Nanomaterials. Complex. 2018: 5083247:1-5083247:16 (2018) - [j14]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification". Complex. 2018: 6975152:1 (2018) - [c14]Jianhai Zhang, Shaokai Zhao, Guodong Yang, Jiajia Tang, Tao Zhang, Yong Peng, Wanzeng Kong:
Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals. BIBM 2018: 1045-1048 - [c13]Jianhai Zhang, Jianting Cao, Na Zhang, Wanzeng Kong, Jiajia Tang, Yong Peng:
A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG. BIBM 2018: 1135-1138 - [c12]Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. ICASSP 2018: 2216-2220 - [c11]Leijie Zhang, Xin Zhu, Yong Peng, Wanzeng Kong:
Unsupervised Extreme Learning Machine via Structured Graph Construction for Data Clustering. ISCID (2) 2018: 33-36 - 2017
- [j13]Zhi-Jie Wang, Xiao Lin, Mei-e Fang, Bin Yao, Yong Peng, Haibing Guan, Minyi Guo:
Re2l: An efficient output-sensitive algorithm for computing Boolean operations on circular-arc polygons and its applications. Comput. Aided Des. 83: 1-14 (2017) - [j12]Yong Peng, Bao-Liang Lu:
Discriminative extreme learning machine with supervised sparsity preserving for image classification. Neurocomputing 261: 242-252 (2017) - [j11]Yong Peng, Wanzeng Kong, Bing Yang:
Orthogonal extreme learning machine for image classification. Neurocomputing 266: 458-464 (2017) - [j10]Yong Peng, Bao-Liang Lu:
Robust structured sparse representation via half-quadratic optimization for face recognition. Multim. Tools Appl. 76(6): 8859-8880 (2017) - [c10]Wanzeng Kong, Qiaonan Fan, Luyun Wang, Bei Jiang, Yong Peng, Yanbin Zhang:
Task-Free Brainprint Recognition Based on Degree of Brain Networks. ICONIP (2) 2017: 709-717 - [c9]Xuefeng Lei, Luyun Wang, Wanzeng Kong, Yong Peng, Sanqing Hu, Hong Zeng, Guojun Dai, Ruoyu Jin, Junfeng Sun, Shanbao Tong:
Identification of EEG features in stroke patients based on common spatial pattern and sparse representation classification. NER 2017: 114-117 - 2016
- [j9]Yong Peng, Wei-Long Zheng, Bao-Liang Lu:
An unsupervised discriminative extreme learning machine and its applications to data clustering. Neurocomputing 174: 250-264 (2016) - [j8]Yong Peng, Bao-Liang Lu:
Discriminative manifold extreme learning machine and applications to image and EEG signal classification. Neurocomputing 174: 265-277 (2016) - [j7]Xianzhong Long, Hongtao Lu, Yong Peng, Xianzhong Wang, Shaokun Feng:
Image classification based on improved VLAD. Multim. Tools Appl. 75(10): 5533-5555 (2016) - 2015
- [j6]Yong Peng, Suhang Wang, Xianzhong Long, Bao-Liang Lu:
Discriminative graph regularized extreme learning machine and its application to face recognition. Neurocomputing 149: 340-353 (2015) - [j5]Yong Peng, Bao-Liang Lu:
Hybrid learning clonal selection algorithm. Inf. Sci. 296: 128-146 (2015) - [j4]Yong Peng, Bao-Liang Lu, Suhang Wang:
Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning. Neural Networks 65: 1-17 (2015) - [j3]Yong Peng, Xianzhong Long, Bao-Liang Lu:
Graph Based Semi-Supervised Learning via Structure Preserving Low-Rank Representation. Neural Process. Lett. 41(3): 389-406 (2015) - [c8]Yong Peng, Bao-Liang Lu:
Robust group sparse representation via half-quadratic optimization for face recognition. CCECE 2015: 146-151 - 2014
- [j2]Xianzhong Long, Hongtao Lu, Yong Peng, Wenbin Li:
Graph regularized discriminative non-negative matrix factorization for face recognition. Multim. Tools Appl. 72(3): 2679-2699 (2014) - [c7]Yong Peng, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu:
EEG-based emotion recognition with manifold regularized extreme learning machine. EMBC 2014: 974-977 - [c6]Wei-Long Zheng, Jia-Yi Zhu, Yong Peng, Bao-Liang Lu:
EEG-based emotion classification using deep belief networks. ICME 2014: 1-6 - [c5]Jia-Yi Zhu, Wei-Long Zheng, Yong Peng, Ruo-Nan Duan, Bao-Liang Lu:
EEG-based emotion recognition using discriminative graph regularized extreme learning machine. IJCNN 2014: 525-532 - [c4]Yingying Jiao, Yong Peng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang:
Recognizing slow eye movement for driver fatigue detection with machine learning approach. IJCNN 2014: 4035-4041 - 2013
- [j1]Yong Peng, Bao-Liang Lu:
A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimization. Appl. Soft Comput. 13(5): 2823-2836 (2013) - [c3]Yong Peng, Suhang Wang, Shen Wang, Bao-Liang Lu:
Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition. ICONIP (2) 2013: 148-155 - [c2]Yong Peng, Shen Wang, Bao-Liang Lu:
Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation. ICONIP (2) 2013: 156-163 - 2012
- [c1]Yong Peng, Bao-Liang Lu:
Immune clonal algorithm based feature selection for epileptic EEG signal classification. ISSPA 2012: 848-853
Coauthor Index
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