Mingle Zhou

According to our database, Mingle Zhou authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

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