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ORCIDMingle Zhou
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2020 – today
- 2025
[j11]Delong Han, Luo Xu, Mingle Zhou
, Jin Wan, Min Li, Gang Li:
Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models. Neural Networks 182: 106906 (2025)- 2024
- [j10]Zhanzhi Su, Mingle Zhou, Min Li, Zekai Zhang, Delong Han, Gang Li:
Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection. Adv. Eng. Informatics 62: 102611 (2024) - [j9]ShiLong Zhao, Gang Li, Mingle Zhou, Min Li:
YOLO-CEA: a real-time industrial defect detection method based on contextual enhancement and attention. Clust. Comput. 27(3): 2329-2344 (2024) - [j8]Gang Li, ShiLong Zhao, Min Li, Mingle Zhou, Zuobin Ying:
IDP-Net: Industrial defect perception network based on cross-layer semantic information guidance and context concentration enhancement. Eng. Appl. Artif. Intell. 130: 107677 (2024) - [j7]Zhengqian Feng, Wei Wang, Wang Li, Gang Li, Min Li, Mingle Zhou:
MFUR-Net: Multimodal feature fusion and unimodal feature refinement for RGB-D salient object detection. Knowl. Based Syst. 299: 112022 (2024) - [j6]Mingle Zhou, Zhanzhi Su, Min Li, Yingjie Wang, Gang Li:
CSDD-Net: A cross semi-supervised dual-feature distillation network for industrial defect detection. Knowl. Based Syst. 306: 112751 (2024) - [c15]Zhitao Yu, Peng Sun, Mingle Zhou, Qianlong Liu, Shilong Zhao:
Research on liquid crystal display technology based on regional dynamic dimming algorithm. DSC 2024: 635-640 - [c14]Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li:
PDT: Uav Target Detection Dataset for Pests and Diseases Tree. ECCV (76) 2024: 56-72 - [c13]Wang Li, Yuan Zhou, Delong Han, Zhengqian Feng, Mingle Zhou:
Structural Optimization and Sequence Interaction Enhancement for Hyper-Relational Knowledge Graphs. ICIC (13) 2024: 261-273 - [c12]Gang Li, Cheng Zhang, Delong Han, Letian Gao, Mingle Zhou:
Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network. IJCNN 2024: 1-8 - [c11]Mingle Zhou, Rui Xing, Min Li, Delong Han, Gang Li:
Color and Feature Space Classification Methods Solve the Problem of Covariate Semantic Information Deviation in Complex Scene Detection Tasks. IJCNN 2024: 1-9 - [c10]Gang Li, Tianjiao Chen, Min Li, Delong Han, Mingle Zhou:
Anomaly-Free Prior Guided Knowledge Distillation for Industrial Anomaly Detection. SMC 2024: 1889-1894 - [c9]Delong Han, Luo Xu, Mingle Zhou, Gang Li, Min Li:
FGSNet: A Finer-Grained Siamese Network for Industrial Few-Shot Anomaly Detection. SMC 2024: 1895-1900 - [c8]Zhengqian Feng, Xiyao Yue, Wang Li, Mingle Zhou, Delong Han, Gang Li:
Knowledge Distillation Using Global Fusion and Feature Restoration for Industrial Defect Detectors. SMC 2024: 2146-2151 - [c7]Min Li, Jinghui He, Zuobin Ying, Gang Li, Mingle Zhou:
MemADet: A Representative Memory Bank Approach for Industrial Image Anomaly Detection. SMC 2024: 2261-2266 - [i1]Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li:
PDT: Uav Target Detection Dataset for Pests and Diseases Tree. CoRR abs/2409.15679 (2024) - 2023
- [j5]Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li, Delong Han:
IDD-Net: Industrial defect detection method based on Deep-Learning. Eng. Appl. Artif. Intell. 123(Part B): 106390 (2023) - [j4]ShiLong Zhao, Gang Li, Mingle Zhou, Min Li:
ICA-Net: Industrial defect detection network based on convolutional attention guidance and aggregation of multiscale features. Eng. Appl. Artif. Intell. 126(Part D): 107134 (2023) - [j3]Zhanzhi Su, Mingle Zhou, Honglin Wan, Min Li, Zekai Zhang, Delong Han, Rui Shao, Gang Li:
Rethinking interactive networks and regression loss functions for industrial defect detection. J. King Saud Univ. Comput. Inf. Sci. 35(9): 101756 (2023) - [c6]Min Li, Cong Shao, Gang Li, Mingle Zhou:
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction. EMNLP (Findings) 2023: 12820-12832 - [c5]Mingle Zhou, Changle Yi, Min Li, Honglin Wan, Gang Li, Delong Han:
Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function. ICANN (7) 2023: 221-232 - [c4]Mingle Zhou, Zhanzhi Su, Min Li, Delong Han, Gang Li:
Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios. ICONIP (6) 2023: 191-205 - [c3]Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li:
DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths. IJCNN 2023: 1-8 - [c2]Gang Li, Jiakai Tian, Mingle Zhou, Min Li, Delong Han:
A Relational Classification Network Integrating Multi-scale Semantic Features. NLPCC (2) 2023: 136-147 - [c1]Mingle Zhou, Changle Yi, Honglin Wan, Min Li, Gang Li, Delong Han:
PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism. SMC 2023: 520-525 - 2022
- [j2]Gang Li, Mingle Zhou, Zhengqian Feng, Min Li, Hui Jiang:
Research on Key Influencing Factors of E-Government Cloud Service Satisfaction. Wirel. Pers. Commun. 127(2): 1117-1135 (2022)
2010 – 2019
- 2019
- [j1]Guangtao Lu, Tao Wang, Mingle Zhou, Yourong Li:
Characterization of Ultrasonic Energy Diffusion in a Steel Alloy Sample with Tensile Force Using PZT Transducers. Sensors 19(9): 2185 (2019)
Coauthor Index
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