Peishu Wu
Orcid: 0000-0001-9891-3809
According to our database1,
Peishu Wu
authored at least 28 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
IEEE Trans. Instrum. Meas., 2025
SGRN: SEMG-based gesture recognition network with multi-dimensional feature extraction and multi-branch information fusion.
Expert Syst. Appl., 2025
2024
A Novel Dynamic Multiobjective Optimization Algorithm With Non-Inductive Transfer Learning Based on Multi-Strategy Adaptive Selection.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Promoting Objective Knowledge Transfer: A Cascaded Fuzzy System for Solving Dynamic Multiobjective Optimization Problems.
IEEE Trans. Fuzzy Syst., November, 2024
A Local-Global Attention Fusion Framework with Tensor Decomposition for Medical Diagnosis.
IEEE CAA J. Autom. Sinica, June, 2024
IEEE Trans. Ind. Informatics, May, 2024
A Novel Dynamic Multiobjective Optimization Algorithm With Hierarchical Response System.
IEEE Trans. Comput. Soc. Syst., April, 2024
KD-PAR: A knowledge distillation-based pedestrian attribute recognition model with multi-label mixed feature learning network.
Expert Syst. Appl., March, 2024
A lightweight surface defect detection framework combined with dual-domain attention mechanism.
Expert Syst. Appl., March, 2024
A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme.
IEEE CAA J. Autom. Sinica, February, 2024
ELTS-Net: An enhanced liver tumor segmentation network with augmented receptive field and global contextual information.
Comput. Biol. Medicine, February, 2024
ℓ-DARTS: Light-weight differentiable architecture search with robustness enhancement strategy.
Knowl. Based Syst., 2024
A novel population robustness-based switching response framework for solving dynamic multi-objective problems.
Neurocomputing, 2024
Comput. Biol. Medicine, 2024
2023
A novel attention-based enhancement framework for face mask detection in complicated scenarios.
Signal Process. Image Commun., August, 2023
SMWO/D: a decomposition-based switching multi-objective whale optimiser for structural optimisation of Turbine disk in aero-engines.
Int. J. Syst. Sci., June, 2023
Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis.
Comput. Biol. Medicine, June, 2023
AA-WGAN: Attention augmented Wasserstein generative adversarial network with application to fundus retinal vessel segmentation.
Comput. Biol. Medicine, May, 2023
Highly Sensitive Cy3 Fluorescence Detection Method for Microarray Based on CCD and LED.
IEEE Trans. Instrum. Meas., 2023
DPF-S2S: A novel dual-pathway-fusion-based sequence-to-sequence text recognition model.
Neurocomputing, 2023
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion.
Comput. Biol. Medicine, 2023
A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesions.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection.
IEEE Trans. Instrum. Meas., 2022
FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public.
Image Vis. Comput., 2022
A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective.
Int. J. Syst. Sci., 2022
A ranking-system-based switching particle swarm optimizer with dynamic learning strategies.
Neurocomputing, 2022
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision.
Expert Syst. Appl., 2022
A generalized framework of feature learning enhanced convolutional neural network for pathology-image-oriented cancer diagnosis.
Comput. Biol. Medicine, 2022