Παρακολούθηση
Jifeng Guo
Jifeng Guo
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mail.scut.edu.cn
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
An efficient model for predicting setting time of cement based on broad learning system
J Guo, L Wang, K Fan, B Yang
Applied Soft Computing 96, 106698, 2020
292020
Fine-grained interpretability for EEG emotion recognition: Concat-aided grad-CAM and systematic brain functional network
B Liu, J Guo, CLP Chen, X Wu, T Zhang
IEEE Transactions on Affective Computing 15 (2), 671-684, 2023
272023
Estimating cement compressive strength using three-dimensional microstructure images and deep belief network
J Guo, M Li, L Wang, B Yang, L Zhang, Z Chen, S Han, ...
Engineering Applications of Artificial Intelligence 88, 103378, 2020
232020
A novel method for financial distress prediction based on sparse neural networks with regularization
Y Chen, J Guo, J Huang, B Lin
International Journal of Machine Learning and Cybernetics 13 (7), 2089-2103, 2022
192022
An efficient inspection system based on broad learning: Nondestructively estimating cement compressive strength with internal factors
J Guo, Z Liu, CLP Chen, T Zhang, L Wang, K Fan
IEEE Transactions on Industrial Informatics 18 (6), 3787-3798, 2021
182021
STS-GAN: can we synthesize solid texture with high fidelity from arbitrary 2D exemplar?
X Zhao, J Guo, L Wang, F Li, J Li, J Zheng, B Yang
arXiv preprint arXiv:2102.03973, 2021
18*2021
Accelerating nearest neighbor partitioning neural network classifier based on CUDA
L Wang, X Zhu, B Yang, J Guo, S Liu, M Li, J Zhu, A Abraham
Engineering Applications of Artificial Intelligence 68, 53-62, 2018
132018
Constructing microstructural evolution system for cement hydration from observed data using deep learning
J Guo, CLP Chen, L Wang, B Yang, T Zhang, L Zhang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (7), 4576-4589, 2023
112023
Estimating cement compressive strength from microstructure images using broad learning system
Y Dang, L Wang, J Yin, X Zhu, Z Feng, J Guo
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
112018
Prediction of share price trend using FCM neural network classifier
S Liu, B Yang, L Wang, X Zhao, J Zhou, J Guo
2016 3rd International Conference on Informative and Cybernetics for …, 2016
112016
Dynamic neural network structure: A review for its theories and applications
J Guo, CLP Chen, Z Liu, X Yang
IEEE Transactions on Neural Networks and Learning Systems, 2024
102024
iBT-Net: an incremental broad transformer network for cancer drug response prediction
Y Zhan, J Guo, CL Philip Chen, XB Meng
Briefings in Bioinformatics 24 (4), bbad256, 2023
92023
An incremental-self-training-guided semi-supervised broad learning system
J Guo, Z Liu, CLP Chen
IEEE Transactions on Neural Networks and Learning Systems, 2024
82024
Convbls: An effective and efficient incremental convolutional broad learning system combining deep and broad representations
C Lei, J Guo, CLP Chen
IEEE Transactions on Artificial Intelligence, 2024
62024
LiFoL: An efficient framework for financial distress prediction in high-dimensional unbalanced scenario
Y Chen, X Kuang, J Guo
Ieee Transactions on Computational Social Systems 11 (2), 2784-2795, 2023
62023
A fast texture synthesis using Gene Expression Programming
J Guo, N Zhang, L Wang, B Yang, X Zhao, J Zhou, S Liu
2016 3rd International Conference on Informative and Cybernetics for …, 2016
62016
A robust semi-supervised broad learning system guided by ensemble-based self-training
J Guo, CLP Chen
IEEE Transactions on Cybernetics, 2024
32024
Robust incremental broad learning system for data streams of uncertain scale
L Zhong, CLP Chen, J Guo, T Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2024
32024
Incremental self-training for semi-supervised learning
J Guo, Z Liu, T Zhang, CL Chen
arXiv preprint arXiv:2404.12398, 2024
32024
ConvBLS: An effective and efficient incremental convolutional broad learning system for image classification
C Lei, CL Chen, J Guo, T Zhang
arXiv preprint arXiv:2304.00219, 2023
32023
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