Min Li
Orcid: 0000-0002-0507-5576Affiliations:
- Qilu University of Technology, Shandong Computer Science Center, Shandong Academy of Sciences, Jinan, China
According to our database1,
Min Li authored at least 44 papers
between 2008 and 2026.
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Bibliography
2026
IEEE Trans. Circuits Syst. Video Technol., March, 2026
CoRR, March, 2026
IEEE Signal Process. Lett., 2026
Normality-enhanced knowledge distillation network for unsupervised industrial anomaly detection.
Eng. Appl. Artif. Intell., 2026
2025
CoRR, November, 2025
CoRR, September, 2025
Industrial-application-oriented 2D image and 3D object anomaly detection technology: a comprehensive review.
Appl. Intell., August, 2025
Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models.
Neural Networks, 2025
Eng. Appl. Artif. Intell., 2025
MemMambaAD: Memory-augmented state space model for multivariate time series anomaly detection.
Eng. Appl. Artif. Intell., 2025
Array, 2025
Adv. Eng. Informatics, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
A Multi-illumination Dataset and an Illumination Domain Adaptation Network for Finger Vein Identification.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
HGCF: Hierarchical Geometry-Color Fusion for Multimodal Industrial Anomaly Detection.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
CSF-DSRE:A Distantly Supervised Relation Extraction Model Based on Contextual Semantic Fusion.
Proceedings of the International Joint Conference on Neural Networks, 2025
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
2024
IEEE Trans. Intell. Veh., December, 2024
CSDD-Net: A cross semi-supervised dual-feature distillation network for industrial defect detection.
Knowl. Based Syst., 2024
MFUR-Net: Multimodal feature fusion and unimodal feature refinement for RGB-D salient object detection.
Knowl. Based Syst., 2024
IDP-Net: Industrial defect perception network based on cross-layer semantic information guidance and context concentration enhancement.
Eng. Appl. Artif. Intell., 2024
Complex Intell. Syst., 2024
Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection.
Adv. Eng. Informatics, 2024
MemADet: A Representative Memory Bank Approach for Industrial Image Anomaly Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Color and Feature Space Classification Methods Solve the Problem of Covariate Semantic Information Deviation in Complex Scene Detection Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024
Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024
2023
ICA-Net: Industrial defect detection network based on convolutional attention guidance and aggregation of multiscale features.
Eng. Appl. Artif. Intell., November, 2023
Rethinking interactive networks and regression loss functions for industrial defect detection.
J. King Saud Univ. Comput. Inf. Sci., October, 2023
Eng. Appl. Artif. Intell., 2023
PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the Natural Language Processing and Chinese Computing, 2023
DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
2022
Wirel. Pers. Commun., 2022
IEEE Access, 2022
IEEE Access, 2022
2008
Proceedings of the Advances in Neural Networks, 2008
Proceedings of the Advances in Neural Networks, 2008