Gang Li

According to our database, Gang Li authored at least 19 papers between 2008 and 2024.

Collaborative distances:

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

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

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

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

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

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

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

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

Automatic Requirements Classification Based on Graph Attention Network.

Gang Li, Chengpeng Zheng, Min Li, Haosen Wang

IEEE Access, 2022

Umformer: A Transformer Dedicated to Univariate Multistep Prediction.

Min Li, Qinghui Chen, Gang Li, Delong Han

IEEE Access, 2022

2016

Research on Optimal Path of Data Migration among Multisupercomputer Centers.

Gang Li, Qingpu Zhang, Zhengqian Feng

Sci. Program., 2016

A disaster recovery solution based on heterogeneous storage.

Gang Li, Qingpu Zhang, Zhengqian Feng, Wei Wang

J. Intell. Fuzzy Syst., 2016

2008

A Novel Pixel-Level and Feature-Level Combined Multisensor Image Fusion Scheme.

Min Li, Gang Li, Wei Cai, Xiaoyan Li

Proceedings of the Advances in Neural Networks, 2008

Adaptive Image Segmentation Using Modified Pulse Coupled Neural Network.

Wei Cai, Gang Li, Min Li, Xiaoyan Li

Proceedings of the Advances in Neural Networks, 2008