招生信息

机械制造及其自动化（学硕）及机械（专硕）专业研究生。

个人简介

主要从事智能制造、视觉检测、图像处理、人工智能等研究工作。专注于工业异常发现及垂直领域跨模态大模型研究。在图像处理方面以深度学习模型的准确性和实时性为出发点，提出了一系列面向工业产品图像的深度学习缺陷检测方法，解决了工业场景下缺陷样本短缺、缺陷区域形态各异、纹理背景复杂等影响导致检测难的问题。在视频异常事件检测方面提出了通用性强、鲁棒性好的神经网络模型，解决了异常样本少、场景依赖强、个人隐私屏蔽等问题下导致检测精度低的问题。目前致力于基于多模态数据和大语言模型的异常检测的研究，利用先进的自然语言处理技术、图像处理技术，结合图像、声音、振动等多模态数据信息提高系统对缺陷的全面感知能力，增强其鲁棒性和适应性，从而提升工业生产中缺陷检测的准确性和效率。

共计发表学术论文50余篇（其中SCI检索20余篇），申请专利6项，软著6项。主持国家自然科学基金地区基金2项、贵州省基础研究计划等共计4项，参与省部级科研项目十余项。主持省级教改项目1项、校级实验室项目1项，参与建设国家级本科一流课程1项，主持《现代工程制图学》教材撰写。指导学生参加"高教杯"全国大学生先进成图技术大赛国赛、华为杯第六届中国研究生人工智能创新大赛等国家级大赛，并获一、二、三等奖十余项。

教学与课程

主讲的本科生课程：《机械制图》

科研项目

基于图像分解及成分相似性分析的工业产品表面缺陷检测，贵州省自然科学基金（基础研究计划项目（限项一般项目）），10万元，主持，2019.1-2021.12. 编号： 黔科合基础[2019]1064

面向监控视频的结构化深度特征融合目标重识别研究，国家自然科学基金面上，项目总经费67万，个人分担13.4万，2019年1月~2022年12月，合作单位负责人。编号：61872034

面向工业产品图像的样本扩增及零缺陷样本深度学习缺陷检测，国家自然科学基金地区基金，37万，2021年1月-2024年12月，主持。62062021

面向开放世界场景缺陷检测的视觉语言大模型研究，国家自然科学基金地区基金，32万，2025年1月-2028年12月，主持。62463002

论文

[1]Linna Zhang, Le Zheng, Yuxin Wen, Fugui Zhang, Fuyu Bo, Yigang Cen*, Effective SAR Image Despeckling Using Noise-Guided Transformer and Multi-Scale Feature Fusion, Remote Sensing,2025,17(23),3863. A2

[2]Hao Shen, Lu Shi, Linna Zhang, Wanru Xu, Yigang Cen*, Gaoyun An, Inter-Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection, Signal, Image and Video Processing, 2025, 19: No. 545.

[3]Lu Shi, Shichao Kan, Yi Jin, Linna Zhang, Yigang Cen*, Multi-modal Self-perception Enhanced Large Language Model for 3D Region-of-Interest Captioning with Limited Data, IEEE Trans. on Multimedia, 2025, 27:2935-2948.

[4]Ruofei Liang, Yigang Cen*, Linna Zhang, Fugui Zhang, Yansen Huang and Fei Gan, Innovative Lightweight Detection for Airborne Remote Sensing: Integrating G-Shuffle and Dynamic Multi-Scale Pyramid Networks, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18: 2010-2023.

[5]Yansen Huang, Lujie Li, Linna Zhang, Fei Gan, Yigang Cen*, and Yuanming Liu, Point Cloud Semantic Segmentation based on Geometric Feature Fusion, KSII Transactions on Internet and Information Systems, 2025, 19(5): 1648-1666.

[6]Yansen Huang, Fei Gan, Linna Zhang*, Fugui Zhang, RepFYOLOv5: A Lightweight Re-parameterization YOLOv5 Network with Four Detection Heads, The 17th IEEE International Conference on Signal Processing (ICSP2024), Suzhou, Jiangshu Province, China, Oct. 28-31, 2024.

[7]Linna Zhang, Lanyao Zhang, Qi Cao, Shichao Kan, Yigang Cen, Fugui Zhang*, Yansen Huang, FTR: Feature Transformation Reconstruction Network for Unsupervised Anomaly Detection, International Journal of Intelligent Systems, April, 2025, 2025: No. 1780499. (A3, CCF C期刊)

[8]陈小云，杨曜，张富贵，岑翼刚，黄彦森，张琳娜*, 面向工业图像异常检测的特征自适应师生模型, 计算机工程与设计。

[9]Yao Yang, Xiaoling Chen, Linna Zhang*, Yansen Huang, Yi Cen, Yigang Cen, Industrial Surface Anomaly Detection by Combining Grayscale Edge Features and Normal Memory Features of Images for Reconstruction, KSII Transactions on Internet and Information Systems, 2025, 19(3): 886-906.

[10]Xiaoyu Chen, Wanru Xu, Shichao Kan, Linna Zhang, Yi Jin, Yigang Cen*, Yidong Li, Vision-Semantics-Label: A New Two-step Paradigm for Action Recognition with Large Language Model, IEEE Transactions on Circuits and Systems for Video Technology, Online, DOI:10.1109/TCSVT.2025.3548845.

[11]Xiaoyun Chen, Lanyao Zhang, Xiaoling Chen, Yigang Cen, Linna Zhang* and Fugui Zhang, A Lightweight Multiscale Feature Fusion Network for Solar Cell Defect Detection, Computers, Materials & Continua, 2025, 82(1): 521-542. DOI: 10.32604/cmc.2024.058063

[12]杨耀, 许湘云, 张琳娜*，陈建强，岑翼刚，黄彦森，基于多记忆增强模块及图像轮廓重建的工业表面异常检测，计算机工程与应用，2025，61(20): 248-259。

[13]Fanghui Zhang, Haiyue Zhu*, Yigang Cen*, Shichao Kan, Linna Zhang, Prahlad Vadakkepat, and Tong Heng Lee, Low-Shot Unsupervised Visual Anomaly Detection via Sparse Feature Representation, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2024.3420818. Early access.

[14]Lanyao Zhang, Xiaoling Chen, Daming Zhang, Yigang Cen, Linna Zhang*, Yansen Huang, A Normalizing Flow-based Bidirectional Mapping Residual Network for Unsupervised Defect Detection, CMC-Computers, Materials & Continua, 2024, 78(2): 1631-1648.

[15]张兰尧，陈晓玲，张达敏，岑翼刚，张琳娜*，黄彦森，ValidFlow: 基于标准化流的无监督图像缺陷检测，数据采集与处理，2023, 38(6): 1445-1457.

[16]Fanghui Zhang, Shichao Kan, Damin Zhang, Yigang Cen*, Linna Zhang*, Vladimir Mladenovic, A graph model-based multiscale feature fitting method for unsupervised anomaly detection, Pattern Recognition, 2023, 138: 109373.(IF: 8.518)

[17]Yue Zhang, Shuqin Wang, Shichao Kan, Yigang Cen*, Linna Zhang, End-to-end Feature Diversity Person Search with Rank Constraint of Cross-class Matrix, Neurocomputing, 2023, 518: 453-465. (IF:5.779)

[18]Xiaoyu Chen, Shichao Kan, Fanghui Zhang, Yigang Cen*, Linna Zhang, Damin Zhang, Multiscale Spatial Temporal Attention Graph Convolution Network for Skeleton-based Anomaly Behavior Detection, Journal of visual communication and image representation, Journal of visual communication and image representation, 2023, 90: 103707. 2021YFE0110500 (IF: 2.887)

[19]Fanghui Zhang, Linna Zhang, Damin Zhang, Yansen Huang, Shichao Kan, Yigang Cen*, AE5-SSIM: A Noval Unsupervised Tinfoils Defect Detection Model with Deep Autoencoder, 2022 16th IEEE International Conference on Signal Processing, 21-24 Oct., 2022, Beijing China, pp. 212-217. ISBN: 978-1-6654-6056-9.

[20]宋爽，张悦，张琳娜，岑翼刚*，李浥东，基于深度学习的轻量化目标检测算法，系统工程与电子技术，2022, 44(9): 2716-2725

[21]Shuqin Wang, Yongyong Chen, Linna Zhang, Yigang Cen*, Viacheslav Voronin, Hyper-Laplacian Regularized Nonconvex Low-rankRepresentation for Multi-view Subspace Clustering, IEEE Transactions on Signal and Information Processing over Networks, 2022, 8: 376-388.

[22]Shuqin Wang, Yongyong Chen, Yigang Cen*, Linna Zhang, Hengyou Wang, Viacheslav Voronin, Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering, Applied Intelligence. 2022, 52: 14651-14664. (SCI, IF2020: 5.019,A2)

[23]张明, 张芳慧, 宗佳平, 宋治, 岑翼刚, 张琳娜*, 基于轻量级网络的人脸检测及嵌入式实现, 图学学报，2022, 43(2): 239-246.

[24]Chengcheng Zou, Damin Zhang, Linna Zhang, LS-DN algorithm based user matching and power minimization in NOMA disaster communication, Journal of Computers. Accepted. EI

[25]Shuqin Wang, Yongyong Chen, Yigang Cen*, Linna Zhang, Viacheslav Voronin, Low-Rank and Sparse Tensor Representation for Multi-view Subspase Clustering, ICIP 2021, Anchorage, Alaska, USA, Sep. 19-22, 2021.

[26]Yue Zhang, Fanghui Zhang, Shichao Kan, Shuqin Wang, Yigang Cen*, Linna Zhang, Cross-domain Person Re-identification Based on the Sample Relation Guidance, ICIG2021, Hainan Haikou, China, Aug. 6-8, 2021.

[27]张琳娜, 陈建强, 吴妍, 张悦, 岑翼刚*，基于DMIR算法的多重复纹理图像拼接，数据采集与处理，2021, 36(2): 334-345。

[28]Shuqing Wang, Yongyong Chen, Yi Jing, Yigang Cen*, Yidong Li, Linna Zhang, Error-robust Low-rank Tensor Approximation for Multi-view Clustering, Knowledge-Based Systems, 2021, 215(3): 106745. (SCI, IF: 5.921)

[29]Fanghui Zhang, Yi Jin, Shichao Kan, Linna Zhang, Yigang Cen*, Wen Jin, Distorted Vehicle detection and distance estimation by metric learning based SSD, International Journal of Computational Intelligence Systems, 2021, 14(1): 1426-1437. (SCI, IF: 1.838)

[30]宗佳平, 吴妍, 陈建强, 张琳娜, 张悦, 岑翼刚*，面向智慧生物实验室的弱外观多目标轻量级跟踪网络，数据采集与处理，2021,36(1): 122-132。

[31]张芳慧, 章春娥, 张琳娜*, 岑翼刚, 阚世超, 金文，基于多尺度重叠滑动池化的SSD果冻杂质检测方法，信号处理，2020, 36 (11): 1811-1818。

[32]Ang Li, Zhenjiang Miao, Yi-Gang Cen*, Xiao-Ping Zhang, Linna Zhang, Shiming Chen, Abnormal Event Detection in Surveillance Videos Based on Low-Rank  and Compact Coefficient Dictionary Learning, Pattern Recognition, Pattern Recognition, 2020, 108(12): 107355. (SCI, IF: 7.196)

[33]张凤珍, 岑翼刚*, 赵瑞珍, 王艳红, 张琳娜, 胡绍海，基于分离字典的图像超分辨率重建算法, 中国科学(信息科学)，2020, 50(2): 275-288.

[34]张琳娜，梁列全, 郑心炜, 阚世超，岑翼刚*, 基于最近邻量化距离聚类的残差中心聚合图像表示, 数据采集与处理，2020, 35(01): 79-88。

[35]Shichao Kan, Linna Zhang, Zhihai He, Yigang Cen*, Shiming Chen, Jikun Zhou, Metric Learning-Based Kernel Transformer With Triplets and Label Constraints for Feature Fusion, Pattern Recognition, 2020,99(3): 107086. (SCI, IF: 5.898)

[36]Zhang Linna, Chen Shiming, Cen Yigang*, Cen Yi; Wang Hengyou, Zeng Ming, Block Sparse Low-rank Matrix Decomposition based Visual Defect Inspection of Rail Track Surfaces, KSII Transactions on Internet and Information Systems. 2019, 13(12): 6043-6062. (SCI, IF: 0.648)

[37]Yi Cen, Linna Zhang*, Ke Wang, Yigang Cen, Iterative Reweighted Minimization for Generalized Norm/Quasi-norm Difference Regularized Unconstrained Nonlinear Programming, IEEE Access, 2019, 7(1): 153102-153122. (SCI, IF: 4.098)

[38]张琳娜，岑翼刚，铁轨图像的低秩矩阵分解缺陷检测，信号处理，2019, 35(4): 667-675. （中文核心）

[39]张琳娜, 陈建强, 陈晓玲, 岑翼刚*, 阚世超，面向行车视频目标实时检测的轻量级SSD网络，计算机科学，2019, 46 (7): 233-237.（中文核心）

[40]黄洁媛，岑翼刚，张琳娜*，阚世超，梁列全, 基于卷积神经网络的人眼状态检测, 扬州大学学报, 2018, 21(3): 25-29。（中文核心）

[41]Zhang Fanghui, Kan Shichao, Zhang Linna, Cen Yigang and Wen Jin, Vehicle Detection in Distorted Driving Video Based on Metric Learning and Single Shot MultiBox Detector, The 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing, October 28-30, 2019, Beijing, China.

[42]Shichao Kan, Yigang Cen*, Zhihai He, Zhi Zhang, Linna Zhang, and Yanhong Wang, Supervised Deep Feature Embedding with Hand Crafted Feature, IEEE Trans. on Image Processing, 2019, 28(12):5809-5823. (SCI, IF: 5.071)

[43]Yanhong Wang, Yigang Cen*, Ruizhen Zhao, Linna Zhang, Shichao Kan, Shaohai Hu, Compressed sensing based feature fusion for image retrieval, Journal of Ambient Intelligence and Humanized Computing, 2018(4):1-13.(SCI, IF: 1.423, A4)

[44]Hao Wu; Yueli Li, Xiaohan Bi, Linna Zhang, Rongfang Bie*, Yingzhuo Wang, Joint entropy based learning model for image retrieval, Journal of Visual Communication and Image Representation, 2018, 55(8): 415-423.(SCI, IF: 1.836, A3)

[45]Yanhong Wang, Yigang Cen*, Liequan Liang, Linna Zhang, Viacheslav Voronin, Vladimir Mladenovic, Fusion of Deep Features and Weighted VLAD Vectors based on Multiple Features for Image Retrieval, XIII International Scientific-Technical Conference "Dynamic of Technical Systems" (DTS-2017), Vol. 132, Article No. 05002, Rostov-on-Don, Russia, Sept. 13-16, 2017. （EI, CPCI检索）

[46]Yi Cen, Yigang Cen, Ke Wang, Jincong Li, Shiming Chen, Linna Zhang, Dan Tao, Low-Rank Tensor Estimation via Generalized Norm/Quasi-Norm Difference Regularization. In 2018 4th International Conference on Big Data Computing and Communications (BIGCOM2018) (pp. 144-149). IEEE.2018, August 7 - 9, Chicago, USA, 2018. （EI, CPCI检索）

[47]Yanhong Wang, Linna Zhang, Yigang Cen, Ruizhen Zhao, Tingting Chai, Yi Cen, Composite Descriptors and deep features based visual phrase for Image Retrieval, The 4th International Conference on Cloud Computing and Security (ICCCS2018), June 8-10, Hainan, China.

[48]赵沛雯, 张达敏, 张琳娜, 邹诚诚, 融合黄金正弦算法和纵横交叉策略的秃鹰搜索算法, 计算机应用, 2023,43(1): 192－201.

[49]靳储蔚, 李姗鸿, 张琳娜, 张达敏, 全局扰动和互利因子作用的飞蛾扑火优化算法, 计算机工程与设计, 2023,44(8): 2297－2304.

[50]秦维娜, 张达敏, 张琳娜, 尹德鑫, 蔡朋宸, 异构网络中基于被囊群算法的D2D通信资源分配, 小型微型计算机系统, 2023,44(10): 2144－2150.

[51]张达敏, 王义, 张琳娜, 种群分段变异学习和S型权重变色龙群算法, 系统仿真学报,2023,35(1): 11-26.

[52]Zou Chengcheng, Zhang Damin, Zhang Linna, LS-DN Algorithm Based User Matching and Power Minimization in NOMA Disaster Communication, Journal of Computers (Taiwan), 2023,34(3): 179-193.(EI)

[53]Jin Chuwei, Li Shanhong, Zhang Linna, Zhang, Damin, The Improvement of the Honey Badger Algorithm and Its Application in the Location Problem of Logistics Centers, APPLIED SCIENCES-BASEL, 2023, 13(11), 6805.

[54]张达敏, 王义, 邹诚诚, 赵沛雯, 张琳娜, 认知异构蜂窝网络中改进蜉蝣算法的资源分配策略, 通信学报, 2022, 43(6): 156-167.

[55]尹德鑫, 张达敏, 张琳娜, 蔡朋宸, 秦维娜, 认知工业物联网中基于麻雀搜索算法的频谱分配策略, 数据采集与处理, 2022, 37(2): 371-382.

[56]蔡朋宸, 张达敏, 张琳娜, 尹德鑫, 秦维娜, 基于双通信半径与改进灰狼算法的距离向量跳段定位, 激光与光电子学进展, 2022, 59(7): 357-364

[57]邹诚诚, 张达敏, 张琳娜, 赵沛雯, 王义, 葛知著，一种新型NOMA 下行链路功率分配方案，小型微型计算机，2022, 43(12): 2638-2643.

[58]葛知著，张达敏，张琳娜，邹诚诚，赵沛雯，混合策略改进的乌鸦搜索算法，计算机应用研究，2021, 38(11): 3334-3339.

[59]宋婷婷，张琳娜，结合重心反向变异的飞蛾扑火优化算法，智能计算机与应用，2020，10(12): 104-117

[60]王义, 张达敏, 张琳娜, 黎道花, 邹诚诚, 基于黄金正弦与自适应融合的蜉蝣优化算法, 计算机应用研究. 2021,38(10): 3072-3077.

专利

[1]张琳娜,杨曜,王爱华,张富贵，一种基于图像重建的工业产品异常检测方法，2024110931681，2024年8月9日。(发明专利）

[2]张琳娜,陈小云,王爱华,张富贵，一种工业图像缺陷检测方法，2024110931751，2024年8月9日。(发明专利）

[3]张琳娜，王淑琴，岑翼刚，张兰尧，基于误差鲁棒和低秩张量逼近的多视图聚类方法，受通号：2021112434266(发明专利）

[4]张琳娜，张芳慧，岑翼刚，张兰尧，基于自注意力的对抗自编码器纹理表面缺陷检测方法，专利号：ZL2021112434001，授权日期2025年04月04日(发明专利）

[5]张琳娜，岑翼刚，黄洁媛，基于深度学习的眼睛睁闭状态检测方法，授权号：CN108614999B, 授权日期2022年9月16日(发明专利）

[6]岑翼刚，张悦，张琳娜，多重复纹理图像的拼接方法，受通号：201811346100.4(发明专利）

[7]金文，岑翼刚，张琳娜，一种基于卷积神经网络的行车视频障碍物实时监测算法，受通号：201910336299.0(发明专利）

[8]金文，岑翼刚，张琳娜，基于度量学习与SSD网络的畸变行车视频车辆检测方法，受通号：201910454189.4(发明专利）

软著

[1]陈小云，张琳娜，基于多教师多尺度知识蒸馏模型的工业图像缺陷检测系统，登记号：2024SR0942110

[2]张兰尧，张琳娜，基于归一化流的双向映射残差网络工业缺陷检测系统，登记号：2024SR0942126

[3]杨耀，张琳娜，面向工业产品的异常检测系统，登记号：2024SR0942116

[4]张兰尧，陈小云，张琳娜，轻量级太阳能光伏电池片缺陷检测系统，登记号：2024SR0942909

[5]岑翼刚，阚世超，张琳娜，基于深度学习的车辆行人计数系统，登记号：2019SRBJ0429

[6]岑翼刚，张芳慧，阚世超，张琳娜，基于深度学习的畸变行车视频车辆检测系统，登记号：2019SRBJ0575