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Yong Peng (彭勇)
Yong Peng (彭勇)
IEEE Senior Member, Professor, Hangzhou Dianzi University
Verified email at hdu.edu.cn - Homepage
Title
Cited by
Cited by
Year
EEG-Based Emotion Classification Using Deep Belief Networks
WL Zheng, JY Zhu, Y Peng, BL Lu
Multimedia and Expo (ICME), IEEE International Conference on, 1-6, 2014
4742014
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases
Y Chen, C Zhang, B Chen, Y Huang, Y Sun, C Wang, X Fu, Y Dai, F Qin, ...
Computers in biology and medicine 170, 107917, 2024
3302024
Fine-grained leukocyte classification with deep residual learning for microscopic images
F Qin, N Gao, Y Peng, Z Wu, S Shen, A Grudtsin
Computer methods and programs in biomedicine 162, 243-252, 2018
1812018
Discriminative graph regularized extreme learning machine and its application to face recognition
Y Peng, S Wang, X Long, BL Lu
Neurocomputing 149, 340-353, 2015
1262015
GFIL: A unified framework for the importance analysis of features, frequency bands and channels in EEG-based emotion recognition
Y Peng, F Qin, W Kong, Y Ge, F Nie, A Cichocki
IEEE Transactions on Cognitive and Developmental Systems 14 (3), 935-947, 2022
872022
BAFN: Bi-direction Attention based Fusion Network for Multimodal Sentiment Analysis
J Tang, D Liu, X Jin, Y Peng, Q Zhao, Y Ding, W Kong
IEEE Transactions on Circuits and Systems for Video Technology 33 (4), 1966-1978, 2023
792023
Discriminative extreme learning machine with supervised sparsity preserving for image classification
Y Peng, BL Lu
Neurocomputing 261, 242-252, 2017
772017
Graph regularized discriminative non-negative matrix factorization for face recognition
X Long, H Lu, Y Peng, W Li
Multimedia Tools and Applications 72, 2679-2699, 2014
752014
Recurrent neural network from adder’s perspective: Carry-lookahead RNN
H Jiang, F Qin, J Cao, Y Peng, Y Shao
Neural Networks 144, 297-306, 2021
702021
OGSSL: A Semi-Supervised Classification Model Coupled with Optimal Graph Learning for EEG Emotion Recognition
Y Peng, F Jin, W Kong, F Nie, BL Lu, A Cichocki
IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1288-1297, 2022
632022
Joint EEG Feature Transfer and Semi-supervised Cross-subject Emotion Recognition
Y Peng, H Liu, W Kong, F Nie, BL Lu, A Cichocki
IEEE Transactions on Industrial Informatics 19 (7), 8104-8115, 2023
582023
Joint feature adaptation and graph adaptive label propagation for cross-subject emotion recognition from EEG signals
Y Peng, W Wang, W Kong, F Nie, BL Lu, A Cichocki
IEEE Transactions on Affective Computing 13 (4), 1941-1958, 2022
582022
Fuzzy graph clustering
Y Peng, X Zhu, F Nie, W Kong, Y Ge
Information Sciences 571, 38-49, 2021
512021
Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning
Y Peng, BL Lu, S Wang
Neural Networks 65, 1-17, 2015
482015
Hybrid learning clonal selection algorithm
Y Peng, BL Lu
Information Sciences 296, 128-146, 2015
482015
Fine-Grained Imbalanced Leukocyte Classification with Global-Local Attention Transformer
B Chen, F Qin, Y Shao, J Cao, Y Peng, R Ge
Journal of King Saud University-Computer and Information Sciences 35 (8), 101661, 2023
472023
Discriminative manifold extreme learning machine and applications to image and EEG signal classification
Y Peng, BL Lu
Neurocomputing 174, 265-277, 2016
462016
An unsupervised discriminative extreme learning machine and its applications to data clustering
Y Peng, WL Zheng, BL Lu
Neurocomputing 174, 250-264, 2016
462016
Self-weighted semi-supervised classification for joint EEG-based emotion recognition and affective activation patterns mining
Y Peng, W Kong, F Qin, F Nie, J Fang, BL Lu, A Cichocki
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021
442021
EEG-based emotion recognition using discriminative graph regularized extreme learning machine
JY Zhu, WL Zheng, Y Peng, BL Lu
Neural Networks (IJCNN), 2014 International Joint Conference on, 525-532, 2014
442014
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Articles 1–20