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2020 – today
- 2025
[j5]Delong Han, Luo Xu, Mingle Zhou
, Jin Wan, Min Li, Gang Li:
Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models. Neural Networks 182: 106906 (2025)- 2024
- [j4]Zhanzhi Su, Mingle Zhou, Min Li, Zekai Zhang, Delong Han, Gang Li:
Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection. Adv. Eng. Informatics 62: 102611 (2024) - [c14]Zirui Xu, Jinyang Sun, Zhe Lu, Delong Han:
Research on the Design of Government Data Governance Evaluation System under the Perspective of Digital Government. DSC 2024: 672-676 - [c13]Min Li, Delong Han, Rui Shao, Jinghui He:
Feature Aggregation Network for Memory-Based Industrial Anomaly Detection. DSC 2024: 677-683 - [c12]Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li:
PDT: Uav Target Detection Dataset for Pests and Diseases Tree. ECCV (76) 2024: 56-72 - [c11]Min Li, Zeyu Liu, Gang Li, Delong Han:
A Multi-Granularity Semantic Extraction Method for Text Classification. ICIC (13) 2024: 224-236 - [c10]Wang Li, Yuan Zhou, Delong Han, Zhengqian Feng, Mingle Zhou:
Structural Optimization and Sequence Interaction Enhancement for Hyper-Relational Knowledge Graphs. ICIC (13) 2024: 261-273 - [c9]Gang Li, Cheng Zhang, Delong Han, Letian Gao, Mingle Zhou:
Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network. IJCNN 2024: 1-8 - [c8]Mingle Zhou, Rui Xing, Min Li, Delong Han, Gang Li:
Color and Feature Space Classification Methods Solve the Problem of Covariate Semantic Information Deviation in Complex Scene Detection Tasks. IJCNN 2024: 1-9 - [c7]Gang Li, Tianjiao Chen, Min Li, Delong Han, Mingle Zhou:
Anomaly-Free Prior Guided Knowledge Distillation for Industrial Anomaly Detection. SMC 2024: 1889-1894 - [c6]Delong Han, Luo Xu, Mingle Zhou, Gang Li, Min Li:
FGSNet: A Finer-Grained Siamese Network for Industrial Few-Shot Anomaly Detection. SMC 2024: 1895-1900 - [c5]Zhengqian Feng, Xiyao Yue, Wang Li, Mingle Zhou, Delong Han, Gang Li:
Knowledge Distillation Using Global Fusion and Feature Restoration for Industrial Defect Detectors. SMC 2024: 2146-2151 - [i1]Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li:
PDT: Uav Target Detection Dataset for Pests and Diseases Tree. CoRR abs/2409.15679 (2024) - 2023
- [j3]Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li, Delong Han:
IDD-Net: Industrial defect detection method based on Deep-Learning. Eng. Appl. Artif. Intell. 123(Part B): 106390 (2023) - [j2]Zhanzhi Su, Mingle Zhou, Honglin Wan, Min Li, Zekai Zhang, Delong Han, Rui Shao, Gang Li:
Rethinking interactive networks and regression loss functions for industrial defect detection. J. King Saud Univ. Comput. Inf. Sci. 35(9): 101756 (2023) - [c4]Mingle Zhou, Changle Yi, Min Li, Honglin Wan, Gang Li, Delong Han:
Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function. ICANN (7) 2023: 221-232 - [c3]Mingle Zhou, Zhanzhi Su, Min Li, Delong Han, Gang Li:
Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios. ICONIP (6) 2023: 191-205 - [c2]Gang Li, Jiakai Tian, Mingle Zhou, Min Li, Delong Han:
A Relational Classification Network Integrating Multi-scale Semantic Features. NLPCC (2) 2023: 136-147 - [c1]Mingle Zhou, Changle Yi, Honglin Wan, Min Li, Gang Li, Delong Han:
PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism. SMC 2023: 520-525 - 2022
- [j1]Min Li, Qinghui Chen, Gang Li, Delong Han:
Umformer: A Transformer Dedicated to Univariate Multistep Prediction. IEEE Access 10: 101347-101361 (2022)
Coauthor Index
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