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ORCIDBing Wei 0003
Person information
- affiliation: Donghua University, Shanghai, China
Other persons with the same name
- Bing Wei — disambiguation page
- Bing Wei 0001
![[0000-0002-6932-0251]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6932-0251")
— University of Mississippi, Department of Mathematics, University, MS, USA (and 1 more) - Bing Wei 0002 — Hainan University, Haikou, China
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2020 – today
- 2026
[j25]Lingguag Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang:
Multi-target federated backdoor attack based on feature aggregation. Pattern Recognit. 172: 112333 (2026)- 2025
- [j24]Aihua Liao, Kuangrong Hao, Bing Wei, Xuesong Tang:
MaskMatch: uncertainty calibration for dynamic masking in semi-supervised image segmentation. Appl. Intell. 55(10): 757 (2025) - [j23]Qihang Xie, Kuangrong Hao, Bing Wei, He Ding, Yumei Zhang, Lihong Ren, Fei Yang:
Adaptive Dual-path Spatial-Frequency Network for medical microstructure segmentation. Expert Syst. Appl. 275: 127032 (2025) - [j22]Yulong Yang, Tianzhou Xun, Kuangrong Hao, Bing Wei, Xue-Song Tang:
Grid Mamba:Grid State Space Model for large-scale point cloud analysis. Neurocomputing 636: 129985 (2025) - [j21]Hengqian Wang, Lei Chen, Kuangrong Hao, Xin Cai, Bing Wei:
A novel self-training framework for semi-supervised soft sensor modeling based on indeterminate variational autoencoder. Inf. Sci. 690: 121565 (2025) - [j20]Langping He, Bing Wei, Kuangrong Hao, Lei Gao, Chuang Peng:
Bio-inspired deep neural local acuity and focus learning for visual image recognition. Neural Networks 181: 106712 (2025) - [j19]Xin Ren, Yufeng Han, Bing Wei, Xue-Song Tang, Kuangrong Hao:
From visual features to key concepts: A Dynamic and Static Concept-driven approach for video captioning. Pattern Recognit. Lett. 193: 64-70 (2025) - [j18]Yudi Zhao, Kuangrong Hao, Chaochen Gu, Bing Wei, Xinping Guan:
Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification. IEEE Trans. Cybern. 55(8): 3723-3736 (2025) - [i7]Lingguag Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang:
Multi-Target Federated Backdoor Attack Based on Feature Aggregation. CoRR abs/2502.16545 (2025) - 2024
- [j17]Feifei Li, Kuangrong Hao, Bing Wei, Lingguang Hao, Lihong Ren:
MS-FTSCNN: An EEG emotion recognition method from the combination of multi-domain features. Biomed. Signal Process. Control. 88(Part A): 105690 (2024) - [j16]Guowei Ge, Yufeng Han, Lingguang Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang:
Show, tell and rectify: Boost image caption generation via an output rectifier. Neurocomputing 585: 127651 (2024) - [j15]Bing Wei, Shiqing Sang, Liangyong Yao, Lei Gao, Yan Liu, Tao Han, Jintao Li:
A Divide-and-Rule Combined Learning Method for Truly Multivariate Time Series Prediction. Int. J. Pattern Recognit. Artif. Intell. 38(10): 2451013:1-2451013:26 (2024) - [j14]Jintao Li, Bing Wei, Kuangrong Hao, Lei Gao, Lei Chen, Xiaoyan Liu:
CTF-Net: Partial Focus Searching within Holistic Structure for Fine-Grained Object Recognition. Int. J. Pattern Recognit. Artif. Intell. 38(15): 2435001:1-2435001:22 (2024) - [j13]Haichao Zhang, Kuangrong Hao, Lei Gao, Xue-Song Tang, Bing Wei:
Enhanced Gradient for Differentiable Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9606-9620 (2024) - 2023
- [j12]Hongzhi Zhao, Lingguang Hao, Kuangrong Hao, Bing Wei, Xin Cai:
Remix: Towards the transferability of adversarial examples. Neural Networks 163: 367-378 (2023) - [j11]Haichao Zhang, Kuangrong Hao, Lei Gao, Bing Wei, Xue-Song Tang:
Optimizing Deep Neural Networks Through Neuroevolution With Stochastic Gradient Descent. IEEE Trans. Cogn. Dev. Syst. 15(1): 111-121 (2023) - 2022
- [j10]Qiming Hu, Kuangrong Hao, Bing Wei, Haijian Li:
An efficient solder joint defects method for 3D point clouds with double-flow region attention network. Adv. Eng. Informatics 52: 101608 (2022) - [j9]Xun Shi, Kuangrong Hao, Lei Chen, Bing Wei, Xiaoyan Liu:
Multivariate time series prediction of complex systems based on graph neural networks with location embedding graph structure learning. Adv. Eng. Informatics 54: 101810 (2022) - [j8]Haijian Li, Kuangrong Hao, Bing Wei, Xue-Song Tang, Qiming Hu:
A reliable solder joint inspection method based on a light-weight point cloud network and modulated loss. Neurocomputing 488: 315-327 (2022) - [j7]Lingguang Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang:
Boosting the transferability of adversarial examples via stochastic serial attack. Neural Networks 150: 58-67 (2022) - [c3]Xin Hu, Bing Wei, Kuangrong Hao, Xiaoyan Liu, Tao Han, Hengqian Wang:
A multi branch feature learning approach for fine-grained visual recognition. ACAI 2022: 4:1-4:6 - [c2]Yuan Zhang, Tao Han, Bing Wei, Kuangrong Hao:
Part-GCNet: Partitioning Graph Convolutional Network for Multi-Label Recognition. ACAI 2022: 5:1-5:5 - [i6]Haichao Zhang, Kuangrong Hao, Witold Pedrycz, Lei Gao, Xue-Song Tang, Bing Wei:
Vision Transformer with Convolutions Architecture Search. CoRR abs/2203.10435 (2022) - [i5]Yudi Zhao, Kuangrong Hao, Chaochen Gu, Bing Wei:
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification. CoRR abs/2207.12744 (2022) - 2021
- [j6]Yudi Zhao, Kuangrong Hao, Xue-Song Tang, Lei Chen, Bing Wei:
A conditional variational autoencoder based self-transferred algorithm for imbalanced classification. Knowl. Based Syst. 218: 106756 (2021) - [j5]Bing Wei, Kuangrong Hao, Lei Gao, Xue-Song Tang:
Bioinspired Visual-Integrated Model for Multilabel Classification of Textile Defect Images. IEEE Trans. Cogn. Dev. Syst. 13(3): 503-513 (2021) - [c1]Zifan Shao, Kuangrong Hao, Bing Wei, Xue-Song Tang:
Solder Joint Defect Detection Based on Depth Image CNN for 3D Shape Classification. CAA SAFEPROCESS 2021: 1-6 - [i4]Bing Wei, Kuangrong Hao, Lei Gao:
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images. CoRR abs/2102.00376 (2021) - [i3]Haichao Zhang, Kuangrong Hao, Lei Gao, Xue-Song Tang, Bing Wei:
Enhanced Gradient for Differentiable Architecture Search. CoRR abs/2103.12529 (2021) - [i2]Bing Wei, Yudi Zhao, Kuangrong Hao, Lei Gao:
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects. CoRR abs/2109.03391 (2021) - 2020
- [j4]Yudi Zhao, Kuangrong Hao, Haibo He, Xue-Song Tang, Bing Wei:
A visual long-short-term memory based integrated CNN model for fabric defect image classification. Neurocomputing 380: 259-270 (2020) - [j3]Bing Wei, Kuangrong Hao, Lei Gao, Xue-Song Tang, Yudi Zhao:
A biologically inspired visual integrated model for image classification. Neurocomputing 405: 103-113 (2020) - [j2]Bing Wei, Kuangrong Hao, Lei Gao, Xue-Song Tang:
Detecting textile micro-defects: A novel and efficient method based on visual gain mechanism. Inf. Sci. 541: 60-74 (2020) - [j1]Bing Wei, Haibo He, Kuangrong Hao, Lei Gao, Xue-Song Tang:
Visual interaction networks: A novel bio-inspired computational model for image classification. Neural Networks 130: 100-110 (2020) - [i1]Haichao Zhang, Kuangrong Hao, Lei Gao, Bing Wei, Xue-Song Tang:
Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent. CoRR abs/2012.11184 (2020)
Coauthor Index
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