Bing Wei

36 papers Journal 33Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-target federated backdoor attack based on feature aggregation.
Pattern Recognit.
Lingguag Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang
2025 J jnl
A novel self-training framework for semi-supervised soft sensor modeling based on indeterminate variational autoencoder.
Inf. Sci.
Hengqian Wang, Lei Chen, Kuangrong Hao, Xin Cai, Bing Wei
2025 J jnl
Adaptive Dual-path Spatial-Frequency Network for medical microstructure segmentation.
Expert Syst. Appl.
Qihang Xie, Kuangrong Hao, Bing Wei, He Ding, Yumei Zhang, Lihong Ren, Fei Yang
2025 J jnl
Bio-inspired deep neural local acuity and focus learning for visual image recognition.
Neural Networks
Langping He, Bing Wei, Kuangrong Hao, Lei Gao, Chuang Peng
2025 J jnl
Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification.
IEEE Trans. Cybern.
Yudi Zhao, Kuangrong Hao, Chaochen Gu, Bing Wei, Xinping Guan
2025 J jnl
From visual features to key concepts: A Dynamic and Static Concept-driven approach for video captioning.
Pattern Recognit. Lett.
Xin Ren, Yufeng Han, Bing Wei, Xue-Song Tang, Kuangrong Hao
2025 J jnl
Grid Mamba:Grid State Space Model for large-scale point cloud analysis.
Neurocomputing
Yulong Yang, Tianzhou Xun, Kuangrong Hao, Bing Wei, Xue-Song Tang
2025 J jnl
MaskMatch: uncertainty calibration for dynamic masking in semi-supervised image segmentation.
Appl. Intell.
Aihua Liao, Kuangrong Hao, Bing Wei, Xuesong Tang
2025 J jnl
Multi-Target Federated Backdoor Attack Based on Feature Aggregation.
CoRR
Lingguag Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang
2024 J jnl
A Divide-and-Rule Combined Learning Method for Truly Multivariate Time Series Prediction.
Int. J. Pattern Recognit. Artif. Intell.
Bing Wei, Shiqing Sang, Liangyong Yao, Lei Gao, Yan Liu, Tao Han, Jintao Li
2024 J jnl
CTF-Net: Partial Focus Searching within Holistic Structure for Fine-Grained Object Recognition.
Int. J. Pattern Recognit. Artif. Intell.
Jintao Li, Bing Wei, Kuangrong Hao, Lei Gao, Lei Chen, Xiaoyan Liu
2024 J jnl
Enhanced Gradient for Differentiable Architecture Search.
IEEE Trans. Neural Networks Learn. Syst.
Haichao Zhang, Kuangrong Hao, Lei Gao, Xue-Song Tang, Bing Wei
2024 J jnl
MS-FTSCNN: An EEG emotion recognition method from the combination of multi-domain features.
Biomed. Signal Process. Control.
Feifei Li, Kuangrong Hao, Bing Wei, Lingguang Hao, Lihong Ren
2024 J jnl
Show, tell and rectify: Boost image caption generation via an output rectifier.
Neurocomputing
Guowei Ge, Yufeng Han, Lingguang Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang
2023 J jnl
A spatial-spectral adaptive learning model for textile defect images recognition with few labeled data.
Complex Intell. Syst.
Yuan Zhang, Tao Han, Bing Wei, Kuangrong Hao, Lei Gao
2023 J jnl
Optimizing Deep Neural Networks Through Neuroevolution With Stochastic Gradient Descent.
IEEE Trans. Cogn. Dev. Syst.
Haichao Zhang, Kuangrong Hao, Lei Gao, Bing Wei, Xue-Song Tang
2023 J jnl
Remix: Towards the transferability of adversarial examples.
Neural Networks
Hongzhi Zhao, Lingguang Hao, Kuangrong Hao, Bing Wei, Xin Cai
2022 — conf
A multi branch feature learning approach for fine-grained visual recognition.
ACAI
Xin Hu, Bing Wei, Kuangrong Hao, Xiaoyan Liu, Tao Han, Hengqian Wang
2022 J jnl
A reliable solder joint inspection method based on a light-weight point cloud network and modulated loss.
Neurocomputing
Haijian Li, Kuangrong Hao, Bing Wei, Xue-Song Tang, Qiming Hu
2022 J jnl
An efficient solder joint defects method for 3D point clouds with double-flow region attention network.
Adv. Eng. Informatics
Qiming Hu, Kuangrong Hao, Bing Wei, Haijian Li
2022 J jnl
Boosting the transferability of adversarial examples via stochastic serial attack.
Neural Networks
Lingguang Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang
2022 J jnl
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification.
CoRR
Yudi Zhao, Kuangrong Hao, Chaochen Gu, Bing Wei
2022 J jnl
Multivariate time series prediction of complex systems based on graph neural networks with location embedding graph structure learning.
Adv. Eng. Informatics
Xun Shi, Kuangrong Hao, Lei Chen, Bing Wei, Xiaoyan Liu
2022 — conf
Part-GCNet: Partitioning Graph Convolutional Network for Multi-Label Recognition.
ACAI
Yuan Zhang, Tao Han, Bing Wei, Kuangrong Hao
2022 J jnl
Vision Transformer with Convolutions Architecture Search.
CoRR
Haichao Zhang, Kuangrong Hao, Witold Pedrycz, Lei Gao, Xue-Song Tang, Bing Wei
2021 J jnl
A conditional variational autoencoder based self-transferred algorithm for imbalanced classification.
Knowl. Based Syst.
Yudi Zhao, Kuangrong Hao, Xue-Song Tang, Lei Chen, Bing Wei
2021 J jnl
Bioinspired Visual-Integrated Model for Multilabel Classification of Textile Defect Images.
IEEE Trans. Cogn. Dev. Syst.
Bing Wei, Kuangrong Hao, Lei Gao, Xue-Song Tang
2021 J jnl
Enhanced Gradient for Differentiable Architecture Search.
CoRR
Haichao Zhang, Kuangrong Hao, Lei Gao, Xue-Song Tang, Bing Wei
2021 J jnl
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images.
CoRR
Bing Wei, Kuangrong Hao, Lei Gao
2021 — conf
Solder Joint Defect Detection Based on Depth Image CNN for 3D Shape Classification.
CAA SAFEPROCESS
Zifan Shao, Kuangrong Hao, Bing Wei, Xue-Song Tang
2021 J jnl
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects.
CoRR
Bing Wei, Yudi Zhao, Kuangrong Hao, Lei Gao
2020 J jnl
A biologically inspired visual integrated model for image classification.
Neurocomputing
Bing Wei, Kuangrong Hao, Lei Gao, Xue-Song Tang, Yudi Zhao
2020 J jnl
A visual long-short-term memory based integrated CNN model for fabric defect image classification.
Neurocomputing
Yudi Zhao, Kuangrong Hao, Haibo He, Xue-Song Tang, Bing Wei
2020 J jnl
Detecting textile micro-defects: A novel and efficient method based on visual gain mechanism.
Inf. Sci.
Bing Wei, Kuangrong Hao, Lei Gao, Xue-Song Tang
2020 J jnl
Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent.
CoRR
Haichao Zhang, Kuangrong Hao, Lei Gao, Bing Wei, Xue-Song Tang
2020 J jnl
Visual interaction networks: A novel bio-inspired computational model for image classification.
Neural Networks
Bing Wei, Haibo He, Kuangrong Hao, Lei Gao, Xue-Song Tang