方玲玲 副教授/助理教授

个人简介

 方玲玲，博士，博士后，副教授、助理教授，硕士生导师。目前研究方向为基于AI的数字医疗、智慧医养，基于影像分析的计算机辅助诊断。入选兴辽英才计划“青年拔尖人才”、大连市“杰出青年”科技人才、辽宁师范大学优秀研究生指导教师、优秀教师等称号。先后主持国家自然科学基金、中国博士后科学基金、辽宁省科技厅、辽宁省教育厅、大连市科技创新项目。近年来以第一和通讯作者在《Expert Systems With Applications》、《Pattern Recognition》等中科院一、二区以及《自动化学报》、《电子学报》等国内一级学报上发表学术论文40余篇，授权发明专利10余项，独立出版学术著作1部。

兴辽英才计划“青年拔尖人才”

大连市“杰出青年”科技人才

大连市“科技之星”科技人才

本地高层次人才“青年才俊”

辽宁省“百千万人才工程”万层次人才

辽宁师范大学优秀研究生指导教师

辽宁师范大学优秀教师

辽宁师范大学教学优秀名师

辽宁师范大学教学先进个人

教学工作

主讲课程包括计算机组成原理、电子技术基础、软件工程、人工智能、学科前沿技术、论文写作方法指导等

指导研究生获得省优秀毕业生（2人）、国家奖学金（8人）、学业奖学金（12人）、校长奖学金暨年度人物（3人）、校优秀毕业论文（4人）

指导本科生获得省优秀毕业生（8人）、校优秀毕业论文（12人）、保送研究生（22人）、计算机设计大赛（国家级、省级获奖30余项）、互联网+大赛（国家级、省级获奖10余项）

中国计算机学会（CCF）高级会员

2025年HMCC&HHME首届中国人机计算大会论坛主席

2025年HMCC&HHME高端论坛（人机计算赋能产学研用）论坛主席

2025年The 10th lEEE Cyber Science and Technology Congress Program Co-chair

2026年IEEE International Conference on Digital Twin Workshop/Special Sessions Chairs

科研工作

1、科研论文【近5年，*为通讯作者】：

[1] Jiyu Tian, Mingchu Li, Lingling Fang*, Liming Chen. SSDCL: Semi-Supervised Denoising-Aware Contrastive Learning for Time Series Anomaly Detection in Cyber-Physical Systems, IEEE Transactions on Information Forensics and Security, 2025, https://doi.org/10.1109/TIFS.2025.3588674. [中科院1区TOP, IF: 8.0]

[2] Lingling Fang*, Yutong Yao, Xiyue Liang. New binary archimedes optimization algorithm and its application. Expert Systems with Applications, 2023, https://doi.org/10.1016/j.eswa.2023.120639. [中科院1区Top, IF: 8.5]

[3] Lingling Fang*, Xin Wang. Brain tumor segmentation based on the dual-path network of multi-modal MRI images. Pattern Recognition, 2022, https://doi.org/10.1016/j.patcog.2021.108434. [中科院1区Top, IF: 8.0]

[4] Lingling Fang*, Xin Wang. Multi-modal medical image segmentation based on vector-valued active contour models. Information Sciences, 2020, https://doi.org/10.1016/j.ins.2019.10.051. [中科院1区Top, IF: 8.1]

[5] Lingling Fang*, Yongcheng Yu, Shihao Zhang, et al. 3D brain tumor segmentation based on a novel nettree merging. Computers in Biology and Medicine, 2025, https://doi.org/10.1016/j.compbiomed.2025.110056. [中科院2区Top, IF: 7.7]

[6] Lingling Fang*, Yumeng Jiang. Dual path parallel hierarchical diagnosis model for intracranial tumors based on multi-feature entropy weight. Computers In Biology and Medicine, 2024, https://doi.org/10.1016/j.bspc.2023.105559 [中科院2区Top, IF: 7.7]

[7] Lingling Fang*, Xiyue Liang. ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis. Computers In Biology and Medicine, 2022, https://doi.org/10.1016/j.compbiomed.2022.105615. [中科院2区Top, IF: 7.7]

[8] Lingling Fang*, Xin Wang. COVID-19 deep classification network based on convolution and deconvolution local enhancement. Computers In Biology and Medicine, 2022, https://doi.org/10.1016/j.compbiomed.2021.104588. [中科院2区Top, IF: 7.7]

[9] Lingling Fang*, Hanyu Zhang, Jiaxin Zhou, et al. Image classification with an RGB-channel nonsubsampled contourlet transform and a convolutional neural network. Neurocomputing, 2020, https://doi.org/10.1016/j.neucom.2018.10.094. [中科院2区Top, IF: 6.0]

[10] Lingling Fang*, Yumeng Jiang. Dual path sub-type diagnostic model based on the anatomic morphological feature. Biomedical Signal Processing and Control, 2024, https://doi: 10.1016/j.bspc.2023.105865. [中科院2区, IF: 5.1]

[11] Lingling Fang*, Yumeng Jiang. Dual-Path parallel hierarchical diagnostic model of glioma based on pathomorphological feature. Biomedical Signal Processing and Control, 2024, https://doi:10.1016/j.bspc.2023.105559. [中科院2区, IF: 5.1]

[12] Lingling Fang*, Yumeng Jiang, Kaining Zhu, and Yang Liu*. AOFNet: A novel cerebral hemorrhage segmentation network based on anatomical-omics feature. Biomedical Signal Processing and Control, 2024, https://doi:10.1016/j.bspc.2024.106317. [中科院2区, IF: 5.1]

[13] Lingling Fang*, Xin Wang. Multi-input unet model based on the integrated block and the aggregation connection for MRI brain tumor segmentation. Biomedical Signal Processing and Control, 2023, https://doi.org/10.1016/j.bspc.2022.104027. [中科院2区, IF: 5.1]

[14] Lingling Fang*, Xiyue Liang. A novel method based on nonlinear binary grasshopper whale optimization algorithm for feature selection. Journal Of Bionic Engineering, 2023, https://doi.org/10.1007/s42235-022-00253-6. [中科院2区, IF: 4.0]

[15] Lingling Fang*, Huan Qiao. Diabetic retinopathy classification using a novel DAG network based on multi-feature of fundus images. Biomedical Signal Processing and Control, 2022, https://doi.org/10.1016/j.bspc.2022.103810. [中科院2区, IF: 5.1]

[16] Lingling Fang*, Yumeng Jiang, Xinping Ren. Cerebral hemorrhage segmentation with energy functional based on anatomy theory. Biomedical Signal Processing and Control, 2022, https://doi.org/10.1016/j.bspc.2022.103709. [中科院2区, IF: 5.1]

[17] Lingling Fang*, Xin Wang. COVID-RDNet: A novel coronavirus pneumonia classification model by the mixed dataset, Biocybernetics and Biomedical Engineering, 2022, https://doi.org/10.1016/j.bbe.2022.07.009. [中科院2区, IF: 6.4]

[18] Lingling Fang*, Huan Qiao. Diabetic retinopathy classification using a novel DAG network based on multi-feature of fundus images. Biomedical Signal Processing and Control, 2022, https://doi.org/10.1016/j.bspc.2022.103810. [中科院2区, IF: 5.1]

[19] Lingling Fang*, Xin Wang, Minqing Zhao. Integrated vector-valued active contour model for image segmentation. Signal, Image and Video Processing, 2022, https://doi.org/10.1007/s11760-021-01979-2.

[20] Lingling Fang*, Xin Wang. Ultrasound COVID-19 classification based on the novel module-based dual-path Network. IEEE Transactions on Artificial Intelligence, 2022, https://doi.org/10.1109/TAI.2022.3208217.

[21] Lingling Fang*, Lirong Zhang, Yibo Yao. Integrating a learned probabilistic model with energy functional for ultrasound image segmentation. Medical & Biological Engineering & Computing, 2021, https://doi.org/10.1007/s11517-021-02411-0.

[22] Lingling Fang*, Xin Wang, Mengyi Wang. Superpixel/voxel medical image segmentation algorithm based on the regional interlinked value. Pattern Analysis and Applications, 2021, https://doi.org/10.1007/s10044-021-01021-8.

[23] Lingling Fang*, Lirong Zhang, Yibo Yao. Retina blood vessels segmentation based on the combination of the supervised and unsupervised methods. Multidimensional Systems and Signal Processing, 2021, https://doi.org/10.1007/s11045-021-00777-w.

[24] Lingling Fang*, Xiaohang Pan, Yibo Yao, et al. A hybrid active contour model for ultrasound image segmentation. Soft Computing, 2020, https://doi.org/10.1007/s00500-020-05097-y.

2、专利【授权】：

[1] 方玲玲，乔焕.基于多特征DAG网络的糖尿病视网膜病变分类建模方法，2024-04-02，中国，ZL 2022 1 0362909.6

[2] 方玲玲，姜雨萌.结合脑部解剖学特征的颅内血块能量泛函分割方法，2024-04-02，中国，ZL 2022 1 0156188.3

[3] 方玲玲，张丽榕.基于机器学习双区域轮廓演化模型的视盘和视杯分割方法，2023-08-11，中国，ZL 2021 1 0772630.0

[4] 方玲玲，王欣.基于超体素的多模态MRI脑肿瘤分割方法，2023-06-16，中国，ZL 2020 11276427.6

[5] 方玲玲，梁希悦.基于能量泛函的MRI图像脑肿瘤分割方法，2023-06-16，中国，ZL 2020 11441287.3

[6] 方玲玲，赵欣怡.基于机器学习的能量泛函模型的医学图像病变区域分割方法，2023-06-16，中国，ZL 2019 11394461.0

[7] 方玲玲，王相海.基于双活动轮廓模型的图像分割方法，2023-06-16，中国，ZL 2018 11586540.7

[8] 方玲玲，王相海.基于矢量值活动轮廓模型的多模态医学图像分割方法，2023-05-09，中国，ZL 2018 11586589.2

3、科研项目【纵向、主持】：

[1] 辽宁省委组织部，兴辽英才计划项目，XLYC2403024，基于AI的疾病诊断模型研究，2025-1至2027-12，50万元，在研

[2] 大连市科技局，高层次人才创新支持计划“杰出青年”项目，2024RJ011，基于PET/CT分子影像征的肺癌病变区域分割-分类深度网络模型，2025-01 至 2027-12，100万元，在研

[3] 辽宁省科技厅，自然科学基金资助计划项目，2021-MS-272，基于复杂海域的红外成像运动船舶检测方法研究， 2021-08 至 2023-08，5万元，结题

[4] 辽宁省教育厅，青年项目，LJKQZ2021088，面向三维医学影像脑部肿瘤分割与生长模型的开发技术与应用，2021-12 至 2024-10，4万元，结题

[5] 中国博士后科学基金，面上项目，2021M700676，基于三维MRI影像的脑肿瘤分割及其生长模型研究，2021-11 至 2023-04，8万元，结题

[6] 国家自然科学基金青年项目，61801202，结合PET/CT图像特征的肺癌病变区域的活动轮廓分割模型研究，2019-01 至 2021-12，25万元，结题

[7] 大连市科技局，高层次人才创新支持计划“科技之星”项目，2019RQ021，海洋搜救中航拍残骸图像的活动轮廓分割模型研究，2019-12 至 2021-12，10万元，结题

[8] 中国博士后科学基金，面上项目，2017M621130，PET/CT图像中肺癌病变区域分割的活动轮廓分割模型，2017-11 至 2018-12，5万元，结题

[9] 辽宁省教育厅，基本科研项目，L2014423，复杂海域红外运动船舶的活动轮廓跟踪模型研究，2014-01至2017-12，6万元，结题

【横向、主持】

[10] 电子元器件管理系统，横向项目，2025-06 至 2026-06，21万，在研

[11] 裂痕检测，横向项目，2024-05至 2025-05，15万，结题

[12] 肺音信号分析处理算法与软件开发，横向项目，2024-03 至 2024-12，14万，结题