Delong Han

According to our database, Delong Han authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

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

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

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

2022

Umformer: A Transformer Dedicated to Univariate Multistep Prediction.

Min Li, Qinghui Chen, Gang Li, Delong Han

IEEE Access, 2022