Siyuan Lu
Orcid: 0000-0001-7649-7744Affiliations:
- Nanjing University of Posts and Telecommunications, School of Communications and Information Engineering, Nanjing, China
- University of Leicester, School of Informatics, Leicester, UK (PhD 2023)
- Nanjing Normal University, School of Computer Science and Technology, Nanjing, China
According to our database1,
Siyuan Lu
authored at least 31 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
RanMerFormer: Randomized vision transformer with token merging for brain tumor classification.
Neurocomputing, March, 2024
2023
Diagnosis of cerebral microbleed via VGG and extreme learning machine trained by Gaussian map bat algorithm.
J. Ambient Intell. Humaniz. Comput., 2023
DLSANet: Facial expression recognition with double-code LBP-layer spatial-attention network.
IET Image Process., 2023
Big Data Cogn. Comput., 2023
2022
J. Comput. Sci. Technol., 2022
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network.
Int. J. Intell. Syst., 2022
Comput. Methods Programs Biomed., 2022
SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection.
Comput. Biol. Medicine, 2022
2021
An Explainable Framework for Diagnosis of COVID-19 Pneumonia via Transfer Learning and Discriminant Correlation Analysis.
ACM Trans. Multim. Comput. Commun. Appl., 2021
Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm.
Neural Comput. Appl., 2021
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects.
Inf. Fusion, 2021
Neurocomputing, 2021
A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks.
Appl. Soft Comput., 2021
A new pulmonary disease diagnosis system based on EfficientNet and transfer learning: pulmonary disease diagnosis based on EfficientNet and TL.
Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021
2020
A classification method for brain MRI via MobileNet and feedforward network with random weights.
Pattern Recognit. Lett., 2020
Teeth Category Classification by Fractional Fourier Entropy and Improved Hybrid Genetic Algorithm.
Proceedings of the Multimedia Technology and Enhanced Learning, 2020
2019
J. Comput. Sci., 2019
2018
Multim. Tools Appl., 2018
Multim. Tools Appl., 2018
SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
2017
Comput. Methods Programs Biomed., 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
2016
Smart detection on abnormal breasts in digital mammography based on contrast-limited adaptive histogram equalization and chaotic adaptive real-coded biogeography-based optimization.
Simul., 2016
Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, <i>k</i>-nearest neighbors, and support vector machine.
Simul., 2016
J. Medical Syst., 2016
Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform.
Entropy, 2016
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016