Gang Li
Orcid: 0000-0002-7896-4833Affiliations:
- Harbin Institute of Technology, Department of Management Science and Engineering, Nangang, China
- Shandong Computer Science Center, Jinan, China
According to our database1,
Gang Li
authored at least 25 papers
between 2008 and 2025.
Collaborative distances:
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Bibliography
2025
Representation Learning Based on Co-Evolutionary Combined With Probability Distribution Optimization for Precise Defect Location.
IEEE Trans. Neural Networks Learn. Syst., July, 2025
IEEE Trans. Mob. Comput., May, 2025
PFRNet: Progressive multi-scale feature fusion and refinement for RGB-D salient object detection.
Neurocomputing, 2025
Eng. Appl. Artif. Intell., 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
Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection.
Adv. Eng. Informatics, 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
Time Series Anomaly Detection via Temporal Dependencies and Multivariate Correlations Integrating.
Proceedings of the Neural Information Processing - 31st International Conference, 2024
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.
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
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
2016
Sci. Program., 2016
J. Intell. Fuzzy Syst., 2016
2008
Proceedings of the Advances in Neural Networks, 2008
Proceedings of the Advances in Neural Networks, 2008