[1]
Y. Z. Zhong, M. Lei, X. K. Zhong, et al. Semantically Guided Counterfactual Model for Multiclass Anomaly Detection[J]. IEEE Transactions on Industrial Informatics, 2026, 22(6):5071-5082.
[2]
Y. Z. Zhong, B. Guo*, Z. M. Sun, et al. MSDCIR-AD: Unsupervised anomaly detection via Multi-criteria Semantic Distances and Constrained Image Reconstruction[J]. Computers in Industry, 2026, 178:104467.
[3] H. Gao, W. L. Zhao,
Y. Z. Zhong*, et al. SimpleZ3D: A simple framework for zero-shot 3D industrial anomaly detection[J]. Pattern Recognition, 2026: 114237.
[4] X. K. Zhong,
Y. Z. Zhong*, Q. Xiao, et al. SewerMan: A vision–language collaborative framework with domain prior for robust multi-label sewer defect classification[J]. Applied Soft Computing, 2026, 190:114583.
[5] B. R. Kang,
Y. Z. Zhong*, L. Deng, et al. Enhancing unsupervised unified anomaly detection via semi-supervised learning with multi-source uncertainty mining[J]. Neurocomputing, 2026, 660:131824.
[6] Gao H, B. Guo,
Y. Z. Zhong*, et al. Multi-Source Expert Scoring for zero-shot visual anomaly classification and segmentation[J]. Computer Vision and Image Understanding, 2026: 104794.
[7] H. Gao, B. R. Kang,
Y. Z. Zhong*, et al. C3aptioner: Improving change captioning by leveraging momentum cross-view and cross-modality contrastive learning[J]. Neural Networks, 2026, 193:107957.
[8]
Y. Z. Zhong, Y. F. Zou, J. Cheng, et al. Label-Related-Guided Multimodality Long-Tailed Sewer Symbiotic Defect Recognition[J]. IEEE Transactions on instrumentation and measurement, 2025, 74:5036711.
[9] M. N. Wang, X. M. Bai,
Y. Z. Zhong*, et al. Unsupervised Weak Speech Enhancement Using Periodic Mixing Invariant Training[J]. Circuits, Systems, and Signal Processing, 2025, 44:7680-7701.
[10] Y. L. Jin, R. Y. Ju,
Y. Z. Zhong*, et al. ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation. ICRA, 2025.
[11] B. R. Kang,
Y. Z. Zhong*, J. W. Zhang, et al. MSTAD: a Masked Subspace-like Transformer for multi-class Anomaly Detection[J]. Knowledge-Based Systems, 2024, 283:111186.
[12] L. Deng,
Y. Z. Zhong*, J. W. Zhang, et al. CONICA: A Contrastive Image Captioning Framework with Robust Similarity Learning. ACM MM, 2023.
[13] N. X. Zhang,
Y. Z. Zhong*, S. Y. Dian. Rethinking unsupervised texture defect detection using PCA[J]. Optics and Lasers in Engineering, 2023, 163:107470.
[14] S. Y. Dian, X. K. Zhong,
Y. Z. Zhong*. Faster R-Transformer: An efficient method for insulator detection in complex aerial environments[J]. Measurement, 2022: 111238.
[15] L. Deng,
Y. Z. Zhong*, M. N. Wang, et al. Scale-adaptive Deep Model for Bacterial Raman Spectra Identification[J]. IEEE Journal of Biomedical and Health Informatics, 2021, 26(1):369-378.
[16]
Y. Z. Zhong, J. W. Zhang, M. N. Wang*, et al. Robust multi-lane detection method based on semantic discrimination[J]. IET Intelligent Transport Systems, 2020, 14(9):1142-1152.
[17] S. Y. Dian, Y. J. Yin, C. Wu,
Y. Z. Zhong*, et al. Loop closure detection based on local-global similarity measurement strategies[J]. Journal of Electronic Imaging, 2022, 31(2):023004.
[18] H. Zhang, T. Zhao,
Y. Z. Zhong*, et al. An Efficient Loop Closure Detection Method Based on Spatially Constrained Feature Matching[J]. Intelligent Service Robotic, 2022:1-17.
[19] 佃松宜, 黄儆进,
钟羽中*, et al. TCS-Net:一种核电安全壳细小裂缝分割网络[J]. 工程科学与技术, 2022, 54(5):249-256.
[20] 王茂宁, 李钟麒,
钟羽中*, et al. 基于分布式光纤传感系统的车辆轨迹提取方法[J]. 工程科学与技术, 2021, 53(2):141-150.
[21]
钟羽中,钟许可,佃松宜. 复杂空间环境下的绝缘子高效检测系统[P]. 中国专利,2024-03-08,ZL 202111169895.8.
[22]
钟羽中,邓霖,王茂宁,et al. 融合跨视角跨模态双重动量对比学习的变化描述系统及方法[P]. 中国专利,2025-11-11,ZL 202411887871.X.
[23]
钟羽中,张建伟,王茂宁,et al. 一种复杂交通环境中的车道线检测和语义识别的方法[P]. 中国专利,2021-05-04,ZL 201910213807.6.
[24]
钟羽中,邓霖,王茂宁,et al. 一种尺度自适应的微生物拉曼光谱检测方法及系统[P]. 中国专利,2021-12-17,ZL 202110185305.4.
[25]
钟羽中,张乃雪,朱磊,et al. 基于无监督学习的缺陷检测系统及方法[P]. 中国专利,2023-05-12,ZL 2021 1 1169895.8.
[26]
钟羽中,赵涛,胡博,et al. 一种基于空间关系特征匹配的闭环检测方法及系统[P]. 中国专利,2021-11-09,ZL 2021 1 1318945.4.