Mingle Zhou

51 papers A* 2A 1B 10Misc 1Journal 28Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection.
CoRR
Kaiqiang Li, Gang Li, Mingle Zhou, Min Li, Delong Han, Jin Wan
2026 J jnl
Boosting Small Object Detection via High-Frequency Feature Oriented Network.
IEEE Signal Process. Lett.
Min Li, Zhaofei Hao, Gang Li, Jin Wan, Delong Han, Mingle Zhou
2026 J jnl
Enhancing mixture-of-experts model with prior knowledge for infrared and visible image fusion in complex degraded environments.
Expert Syst. Appl.
Gang Li, Chengrun Jiang, Jiachen Li, Jin Wan, Mingle Zhou, Delong Han
2026 J jnl
Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection.
CoRR
Mingle Zhou, Jiahui Liu, Jin Wan, Gang Li, Min Li
2026 J jnl
Normality-enhanced knowledge distillation network for unsupervised industrial anomaly detection.
Eng. Appl. Artif. Intell.
Gang Li, Tianjiao Chen, Jin Wan, Mingle Zhou, Delong Han, Min Li
2025 B conf
CSF-DSRE:A Distantly Supervised Relation Extraction Model Based on Contextual Semantic Fusion.
IJCNN
Min Li, Juan Yu, Mingle Zhou, Jiachen Li, Delong Han
2025 J jnl
Dual-domain divide-and-conquer for scene text image super-resolution.
Knowl. Based Syst.
Wang Li, Ming Chen, Zhengqian Feng, Jin Wan, Mingle Zhou
2025 A* conf
Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection.
ACM Multimedia
Mingle Zhou, Jiahui Liu, Jin Wan, Gang Li, Min Li
2025 A conf
Few-Shot Relation Extraction via Semantically Related Negative Samples.
ECAI
Delong Han, Hongyu Hao, Jin Wan, Gang Li, Min Li, Mingle Zhou
2025 J jnl
Industrial-application-oriented 2D image and 3D object anomaly detection technology: a comprehensive review.
Appl. Intell.
Gang Li, Chengrun Jiang, Min Li, Jiachen Li, Delong Han, Mingle Zhou
2025 J jnl
MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection.
CoRR
Gang Li, Tianjiao Chen, Mingle Zhou, Min Li, Delong Han, Jin Wan
2025 B conf
MFPD:Multi-feature Prompt-Driven Industrial Real-Time Semantic Segmentation.
IJCNN
Wang Li, Xiaoming Sun, Yongqiao You, Zhengqian Feng, Mingle Zhou
2025 J jnl
MemMambaAD: Memory-augmented state space model for multivariate time series anomaly detection.
Eng. Appl. Artif. Intell.
Gang Li, Mingchao Ge, Jin Wan, Delong Han, Min Li, Mingle Zhou
2025 J jnl
Multimodal feature cooperative refinement for few-shot anomaly detection.
Adv. Eng. Informatics
Luo Xu, Delong Han, Gang Li, Mingle Zhou, Jin Wan, Min Li
2025 J jnl
PFRNet: Progressive multi-scale feature fusion and refinement for RGB-D salient object detection.
Neurocomputing
Zhengqian Feng, Wei Wang, Mingle Zhou, Wang Li, Yuan Gao, Jiachen Li, Gang Li
2025 J jnl
Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models.
Neural Networks
Delong Han, Luo Xu, Mingle Zhou, Jin Wan, Min Li, Gang Li
2025 Misc conf
STAD: Joint Spatial-Temporal Dimension and Channel Correlation for Time Series Anomaly Detection.
ICASSP
Mingle Zhou, Xingli Wang, Delong Han, Jin Wan, Jiachen Li
2025 J jnl
Scene text image super-resolution with semantic-aware interaction.
Eng. Appl. Artif. Intell.
Mingle Zhou, Wenlong Liu, Jin Wan, Delong Han, Min Li, Gang Li
2025 J jnl
Three-dimensional reconstruction and fracture segmentation based on X-ray and computed tomography paired dataset.
Eng. Appl. Artif. Intell.
Yuan Gao, Yuan Zhou, Da Chen, Jiachen Li, Mingle Zhou, Gang Li, Yunbo Gu, Jean-Louis Coatrieux, Yang Chen
2025 A* conf
Unsupervised Dual-Domain Memory Model for Time Series Anomaly Detection.
ACM Multimedia
Mingle Zhou, Xingli Wang, Jiachen Li, Delong Han, Gang Li
2025 J jnl
Unsupervised anomaly detection with memory bank and contrastive learning.
Array
Min Li, Zuobin Ying, Gang Li, Mingle Zhou, Jinghui He
2024 B conf
Anomaly-Free Prior Guided Knowledge Distillation for Industrial Anomaly Detection.
SMC
Gang Li, Tianjiao Chen, Min Li, Delong Han, Mingle Zhou
2024 J jnl
CSDD-Net: A cross semi-supervised dual-feature distillation network for industrial defect detection.
Knowl. Based Syst.
Mingle Zhou, Zhanzhi Su, Min Li, Yingjie Wang, Gang Li
2024 B conf
Color and Feature Space Classification Methods Solve the Problem of Covariate Semantic Information Deviation in Complex Scene Detection Tasks.
IJCNN
Mingle Zhou, Rui Xing, Min Li, Delong Han, Gang Li
2024 B conf
FGSNet: A Finer-Grained Siamese Network for Industrial Few-Shot Anomaly Detection.
SMC
Delong Han, Luo Xu, Mingle Zhou, Gang Li, Min Li
2024 B conf
Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network.
IJCNN
Gang Li, Cheng Zhang, Delong Han, Letian Gao, Mingle Zhou
2024 J jnl
IDP-Net: Industrial defect perception network based on cross-layer semantic information guidance and context concentration enhancement.
Eng. Appl. Artif. Intell.
Gang Li, Shilong Zhao, Min Li, Mingle Zhou, Zuobin Ying
2024 B conf
Knowledge Distillation Using Global Fusion and Feature Restoration for Industrial Defect Detectors.
SMC
Zhengqian Feng, Xiyao Yue, Wang Li, Mingle Zhou, Delong Han, Gang Li
2024 J jnl
LHA-Net: A Lightweight and High-Accuracy Network for Road Surface Defect Detection.
IEEE Trans. Intell. Veh.
Gang Li, Cheng Zhang, Min Li, Delong Han, Mingle Zhou
2024 J jnl
MFUR-Net: Multimodal feature fusion and unimodal feature refinement for RGB-D salient object detection.
Knowl. Based Syst.
Zhengqian Feng, Wei Wang, Wang Li, Gang Li, Min Li, Mingle Zhou
2024 B conf
MemADet: A Representative Memory Bank Approach for Industrial Image Anomaly Detection.
SMC
Min Li, Jinghui He, Zuobin Ying, Gang Li, Mingle Zhou
2024 — conf
PDT: Uav Target Detection Dataset for Pests and Diseases Tree.
ECCV (76)
Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li
2024 J jnl
PDT: Uav Target Detection Dataset for Pests and Diseases Tree.
CoRR
Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li
2024 — conf
Research on liquid crystal display technology based on regional dynamic dimming algorithm.
DSC
Zhitao Yu, Peng Sun, Mingle Zhou, Qianlong Liu, Shilong Zhao
2024 J jnl
Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection.
Adv. Eng. Informatics
Zhanzhi Su, Mingle Zhou, Min Li, Zekai Zhang, Delong Han, Gang Li
2024 — conf
Structural Optimization and Sequence Interaction Enhancement for Hyper-Relational Knowledge Graphs.
ICIC (13)
Wang Li, Yuan Zhou, Delong Han, Zhengqian Feng, Mingle Zhou
2024 J jnl
TD-Net:tiny defect detection network for industrial products.
Complex Intell. Syst.
Rui Shao, Mingle Zhou, Min Li, Delong Han, Gang Li
2024 — conf
Time Series Anomaly Detection via Temporal Dependencies and Multivariate Correlations Integrating.
ICONIP (3)
Gang Li, Mingchao Ge, Mingle Zhou, Jin Wan, Delong Han
2024 — conf
Ultra-high definition video quality assessment method based on deep learning.
DSC
Wei Li, Can He, Mingle Zhou, Hengyu Zhang, Wenlong Liu
2024 J jnl
YOLO-CEA: a real-time industrial defect detection method based on contextual enhancement and attention.
Clust. Comput.
Shilong Zhao, Gang Li, Mingle Zhou, Min Li
2023 — conf
A Relational Classification Network Integrating Multi-scale Semantic Features.
NLPCC (2)
Gang Li, Jiakai Tian, Mingle Zhou, Min Li, Delong Han
2023 B conf
DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths.
IJCNN
Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li
2023 — conf
Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios.
ICONIP (6)
Mingle Zhou, Zhanzhi Su, Min Li, Delong Han, Gang Li
2023 — conf
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction.
EMNLP (Findings)
Min Li, Cong Shao, Gang Li, Mingle Zhou
2023 J jnl
ICA-Net: Industrial defect detection network based on convolutional attention guidance and aggregation of multiscale features.
Eng. Appl. Artif. Intell.
Shilong Zhao, Gang Li, Mingle Zhou, Min Li
2023 J jnl
IDD-Net: Industrial defect detection method based on Deep-Learning.
Eng. Appl. Artif. Intell.
Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li, Delong Han
2023 B conf
PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism.
SMC
Mingle Zhou, Changle Yi, Honglin Wan, Min Li, Gang Li, Delong Han
2023 J jnl
Rethinking interactive networks and regression loss functions for industrial defect detection.
J. King Saud Univ. Comput. Inf. Sci.
Zhanzhi Su, Mingle Zhou, Honglin Wan, Min Li, Zekai Zhang, Delong Han, Rui Shao, Gang Li
2023 — conf
Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function.
ICANN (7)
Mingle Zhou, Changle Yi, Min Li, Honglin Wan, Gang Li, Delong Han
2022 J jnl
Research on Key Influencing Factors of E-Government Cloud Service Satisfaction.
Wirel. Pers. Commun.
Gang Li, Mingle Zhou, Zhengqian Feng, Min Li, Hui Jiang
2019 J jnl
Characterization of Ultrasonic Energy Diffusion in a Steel Alloy Sample with Tensile Force Using PZT Transducers.
Sensors
Guangtao Lu, Tao Wang, Mingle Zhou, Yourong Li