| 2025 | ECAI | Few-Shot Relation Extraction via Semantically Related Negative Samples. | Delong Han, Hongyu Hao, Jin Wan, Gang Li, Min Li, Mingle Zhou |
| 2025 | ICASSP | STAD: Joint Spatial-Temporal Dimension and Channel Correlation for Time Series Anomaly Detection. | Mingle Zhou, Xingli Wang, Delong Han, Jin Wan, Jiachen Li |
| 2025 | IJCNN | MFPD:Multi-feature Prompt-Driven Industrial Real-Time Semantic Segmentation. | Wang Li, Xiaoming Sun, Yongqiao You, Zhengqian Feng, Mingle Zhou |
| 2025 | IJCNN | CSF-DSRE:A Distantly Supervised Relation Extraction Model Based on Contextual Semantic Fusion. | Min Li, Juan Yu, Mingle Zhou, Jiachen Li, Delong Han |
| 2024 | ECCV | PDT: Uav Target Detection Dataset for Pests and Diseases Tree. | Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li |
| 2024 | ICONIP | Time Series Anomaly Detection via Temporal Dependencies and Multivariate Correlations Integrating. | Gang Li, Mingchao Ge, Mingle Zhou, Jin Wan, Delong Han |
| 2024 | IJCNN | Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network. | Gang Li, Cheng Zhang, Delong Han, Letian Gao, Mingle Zhou |
| 2024 | IJCNN | 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 |
| 2024 | SMC | Knowledge Distillation Using Global Fusion and Feature Restoration for Industrial Defect Detectors. | Zhengqian Feng, Xiyao Yue, Wang Li, Mingle Zhou, Delong Han, Gang Li |
| 2024 | SMC | FGSNet: A Finer-Grained Siamese Network for Industrial Few-Shot Anomaly Detection. | Delong Han, Luo Xu, Mingle Zhou, Gang Li, Min Li |
| 2024 | SMC | Anomaly-Free Prior Guided Knowledge Distillation for Industrial Anomaly Detection. | Gang Li, Tianjiao Chen, Min Li, Delong Han, Mingle Zhou |
| 2024 | SMC | MemADet: A Representative Memory Bank Approach for Industrial Image Anomaly Detection. | Min Li, Jinghui He, Zuobin Ying, Gang Li, Mingle Zhou |
| 2023 | EMNLP | HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction. | Min Li, Cong Shao, Gang Li, Mingle Zhou |
| 2023 | ICANN | 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 |
| 2023 | ICONIP | Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios. | Mingle Zhou, Zhanzhi Su, Min Li, Delong Han, Gang Li |
| 2023 | IJCNN | DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths. | Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li |
| 2023 | SMC | PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism. | Mingle Zhou, Changle Yi, Honglin Wan, Min Li, Gang Li, Delong Han |