Bing Wei

Orcid: 0000-0002-2298-1474

Affiliations:

Donghua University, Shanghai, China

According to our database¹, Bing Wei authored at least 32 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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Bibliography

2026

Multi-target federated backdoor attack based on feature aggregation.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

2025

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., August, 2025

MaskMatch: uncertainty calibration for dynamic masking in semi-supervised image segmentation.

[BibT_eX]

[DOI]

Appl. Intell., July, 2025

From visual features to key concepts: A Dynamic and Static Concept-driven approach for video captioning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2025

Bio-inspired deep neural local acuity and focus learning for visual image recognition.

[BibT_eX]

[DOI]

Neural Networks, 2025

A novel self-training framework for semi-supervised soft sensor modeling based on indeterminate variational autoencoder.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Grid Mamba:Grid State Space Model for large-scale point cloud analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Adaptive Dual-path Spatial-Frequency Network for medical microstructure segmentation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

2024

CTF-Net: Partial Focus Searching within Holistic Structure for Fine-Grained Object Recognition.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., December, 2024

A Divide-and-Rule Combined Learning Method for Truly Multivariate Time Series Prediction.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., August, 2024

Enhanced Gradient for Differentiable Architecture Search.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2024

MS-FTSCNN: An EEG emotion recognition method from the combination of multi-domain features.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., February, 2024

Show, tell and rectify: Boost image caption generation via an output rectifier.

[BibT_eX]

[DOI]

Neurocomputing, 2024

2023

Optimizing Deep Neural Networks Through Neuroevolution With Stochastic Gradient Descent.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., March, 2023

Remix: Towards the transferability of adversarial examples.

[BibT_eX]

[DOI]

Neural Networks, 2023

2022

Boosting the transferability of adversarial examples via stochastic serial attack.

[BibT_eX]

[DOI]

Neural Networks, 2022

A reliable solder joint inspection method based on a light-weight point cloud network and modulated loss.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Vision Transformer with Convolutions Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2022

Multivariate time series prediction of complex systems based on graph neural networks with location embedding graph structure learning.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2022

An efficient solder joint defects method for 3D point clouds with double-flow region attention network.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2022

Part-GCNet: Partitioning Graph Convolutional Network for Multi-Label Recognition.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Algorithms, 2022

A multi branch feature learning approach for fine-grained visual recognition.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Bioinspired Visual-Integrated Model for Multilabel Classification of Textile Defect Images.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

A conditional variational autoencoder based self-transferred algorithm for imbalanced classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects.

[BibT_eX]

[DOI]

CoRR, 2021

MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images.

[BibT_eX]

[DOI]

Bing Wei

Kuangrong Hao

Lei Gao

CoRR, 2021

Solder Joint Defect Detection Based on Depth Image CNN for 3D Shape Classification.

[BibT_eX]

[DOI]

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

Visual interaction networks: A novel bio-inspired computational model for image classification.

[BibT_eX]

[DOI]

Neural Networks, 2020

Detecting textile micro-defects: A novel and efficient method based on visual gain mechanism.

[BibT_eX]

[DOI]

Inf. Sci., 2020

A visual long-short-term memory based integrated CNN model for fabric defect image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

A biologically inspired visual integrated model for image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Bing Wei

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