Mingle Zhou

According to our database, Mingle Zhou authored at least 49 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection.

Mingle Zhou, Jiahui Liu, Jin Wan, Gang Li, Min Li

CoRR, March, 2026

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection.

Kaiqiang Li, Gang Li, Mingle Zhou, Min Li, Delong Han, Jin Wan

CoRR, March, 2026

Boosting Small Object Detection via High-Frequency Feature Oriented Network.

Min Li, Zhaofei Hao, Gang Li, Jin Wan, Delong Han, Mingle Zhou

IEEE Signal Process. Lett., 2026

Enhancing mixture-of-experts model with prior knowledge for infrared and visible image fusion in complex degraded environments.

Gang Li, Chengrun Jiang, Jiachen Li, Jin Wan, Mingle Zhou, Delong Han

Expert Syst. Appl., 2026

Normality-enhanced knowledge distillation network for unsupervised industrial anomaly detection.

Gang Li, Tianjiao Chen, Jin Wan, Mingle Zhou, Delong Han, Min Li

Eng. Appl. Artif. Intell., 2026

2025

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection.

Gang Li, Tianjiao Chen, Mingle Zhou, Min Li, Delong Han, Jin Wan

CoRR, September, 2025

Industrial-application-oriented 2D image and 3D object anomaly detection technology: a comprehensive review.

Gang Li, Chengrun Jiang, Min Li, Jiachen Li, Delong Han, Mingle Zhou

Appl. Intell., August, 2025

Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models.

Delong Han, Luo Xu, Mingle Zhou, Jin Wan, Min Li, Gang Li

Neural Networks, 2025

Dual-domain divide-and-conquer for scene text image super-resolution.

Wang Li, Ming Chen, Zhengqian Feng, Jin Wan, Mingle Zhou

Knowl. Based Syst., 2025

PFRNet: Progressive multi-scale feature fusion and refinement for RGB-D salient object detection.

Zhengqian Feng, Wei Wang, Mingle Zhou, Wang Li, Yuan Gao, Jiachen Li, Gang Li

Neurocomputing, 2025

Scene text image super-resolution with semantic-aware interaction.

Mingle Zhou, Wenlong Liu, Jin Wan, Delong Han, Min Li, Gang Li

Eng. Appl. Artif. Intell., 2025

MemMambaAD: Memory-augmented state space model for multivariate time series anomaly detection.

Gang Li, Mingchao Ge, Jin Wan, Delong Han, Min Li, Mingle Zhou

Eng. Appl. Artif. Intell., 2025

Three-dimensional reconstruction and fracture segmentation based on X-ray and computed tomography paired dataset.

Yuan Gao, Yuan Zhou, Da Chen, Jiachen Li, Mingle Zhou, Gang Li, Yunbo Gu, Jean-Louis Coatrieux, Yang Chen

Eng. Appl. Artif. Intell., 2025

Unsupervised anomaly detection with memory bank and contrastive learning.

Min Li, Zuobin Ying, Gang Li, Mingle Zhou, Jinghui He

Array, 2025

Multimodal feature cooperative refinement for few-shot anomaly detection.

Luo Xu, Delong Han, Gang Li, Mingle Zhou, Jin Wan, Min Li

Adv. Eng. Informatics, 2025

Unsupervised Dual-Domain Memory Model for Time Series Anomaly Detection.

Mingle Zhou, Xingli Wang, Jiachen Li, Delong Han, Gang Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection.

Mingle Zhou, Jiahui Liu, Jin Wan, Gang Li, Min Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CSF-DSRE:A Distantly Supervised Relation Extraction Model Based on Contextual Semantic Fusion.

Min Li, Juan Yu, Mingle Zhou, Jiachen Li, Delong Han

Proceedings of the International Joint Conference on Neural Networks, 2025

MFPD:Multi-feature Prompt-Driven Industrial Real-Time Semantic Segmentation.

Wang Li, Xiaoming Sun, Yongqiao You, Zhengqian Feng, Mingle Zhou

Proceedings of the International Joint Conference on Neural Networks, 2025

STAD: Joint Spatial-Temporal Dimension and Channel Correlation for Time Series Anomaly Detection.

Mingle Zhou, Xingli Wang, Delong Han, Jin Wan, Jiachen Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Few-Shot Relation Extraction via Semantically Related Negative Samples.

Delong Han, Hongyu Hao, Jin Wan, Gang Li, Min Li, Mingle Zhou

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

LHA-Net: A Lightweight and High-Accuracy Network for Road Surface Defect Detection.

Gang Li, Cheng Zhang, Min Li, Delong Han, Mingle Zhou

IEEE Trans. Intell. Veh., December, 2024

YOLO-CEA: a real-time industrial defect detection method based on contextual enhancement and attention.

ShiLong Zhao, Gang Li, Mingle Zhou, Min Li

Clust. Comput., June, 2024

CSDD-Net: A cross semi-supervised dual-feature distillation network for industrial defect detection.

Mingle Zhou, Zhanzhi Su, Min Li, Yingjie Wang, Gang Li

Knowl. Based Syst., 2024

MFUR-Net: Multimodal feature fusion and unimodal feature refinement for RGB-D salient object detection.

Zhengqian Feng, Wei Wang, Wang Li, Gang Li, Min Li, Mingle Zhou

Knowl. Based Syst., 2024

IDP-Net: Industrial defect perception network based on cross-layer semantic information guidance and context concentration enhancement.

Gang Li, ShiLong Zhao, Min Li, Mingle Zhou, Zuobin Ying

Eng. Appl. Artif. Intell., 2024

TD-Net:tiny defect detection network for industrial products.

Rui Shao, Mingle Zhou, Min Li, Delong Han, Gang Li

Complex Intell. Syst., 2024

Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection.

Zhanzhi Su, Mingle Zhou, Min Li, Zekai Zhang, Delong Han, Gang Li

Adv. Eng. Informatics, 2024

MemADet: A Representative Memory Bank Approach for Industrial Image Anomaly Detection.

Min Li, Jinghui He, Zuobin Ying, Gang Li, Mingle Zhou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Anomaly-Free Prior Guided Knowledge Distillation for Industrial Anomaly Detection.

Gang Li, Tianjiao Chen, Min Li, Delong Han, Mingle Zhou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

FGSNet: A Finer-Grained Siamese Network for Industrial Few-Shot Anomaly Detection.

Delong Han, Luo Xu, Mingle Zhou, Gang Li, Min Li

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Knowledge Distillation Using Global Fusion and Feature Restoration for Industrial Defect Detectors.

Zhengqian Feng, Xiyao Yue, Wang Li, Mingle Zhou, Delong Han, Gang Li

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.

Mingle Zhou, Rui Xing, Min Li, Delong Han, Gang Li

Proceedings of the International Joint Conference on Neural Networks, 2024

Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network.

Gang Li, Cheng Zhang, Delong Han, Letian Gao, Mingle Zhou

Proceedings of the International Joint Conference on Neural Networks, 2024

Time Series Anomaly Detection via Temporal Dependencies and Multivariate Correlations Integrating.

Gang Li, Mingchao Ge, Mingle Zhou, Jin Wan, Delong Han

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Structural Optimization and Sequence Interaction Enhancement for Hyper-Relational Knowledge Graphs.

Wang Li, Yuan Zhou, Delong Han, Zhengqian Feng, Mingle Zhou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

PDT: Uav Target Detection Dataset for Pests and Diseases Tree.

Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Research on liquid crystal display technology based on regional dynamic dimming algorithm.

Zhitao Yu, Peng Sun, Mingle Zhou, Qianlong Liu, Shilong Zhao

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.

ShiLong Zhao, Gang Li, Mingle Zhou, Min Li

Eng. Appl. Artif. Intell., November, 2023

Rethinking interactive networks and regression loss functions for industrial defect detection.

Zhanzhi Su, Mingle Zhou, Honglin Wan, Min Li, Zekai Zhang, Delong Han, Rui Shao, Gang Li

J. King Saud Univ. Comput. Inf. Sci., October, 2023

IDD-Net: Industrial defect detection method based on Deep-Learning.

Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li, Delong Han

Eng. Appl. Artif. Intell., 2023

PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism.

Mingle Zhou, Changle Yi, Honglin Wan, Min Li, Gang Li, Delong Han

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Relational Classification Network Integrating Multi-scale Semantic Features.

Gang Li, Jiakai Tian, Mingle Zhou, Min Li, Delong Han

Proceedings of the Natural Language Processing and Chinese Computing, 2023

DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths.

Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li

Proceedings of the International Joint Conference on Neural Networks, 2023

Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios.

Mingle Zhou, Zhanzhi Su, Min Li, Delong Han, Gang Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function.

Mingle Zhou, Changle Yi, Min Li, Honglin Wan, Gang Li, Delong Han

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction.

Min Li, Cong Shao, Gang Li, Mingle Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Research on Key Influencing Factors of E-Government Cloud Service Satisfaction.

Gang Li, Mingle Zhou, Zhengqian Feng, Min Li, Hui Jiang

Wirel. Pers. Commun., 2022

2019

Characterization of Ultrasonic Energy Diffusion in a Steel Alloy Sample with Tensile Force Using PZT Transducers.

Guangtao Lu, Tao Wang, Mingle Zhou, Yourong Li

Sensors, 2019