北京交通大学教师名录

基本信息

办公电话：51685093	电子邮件： yf.li@bjtu.edu.cn
通讯地址：九教南210	邮编：

教育背景

学士学位，2006年9月-2010年7月，北京交通大学

博士学位，2010年9月-2015年1月，北京交通大学

联合培养博士生，2012年9月-2013年9月，卡内基梅隆大学（美国）

工作经历

2021.12-至今北京交通大学教授

2015.01-2021.11 北京交通大学副教授

研究方向

信息处理与人工智能
信号处理与电子系统
新一代电子信息技术
人工智能
通信工程

招生专业

信息与通信工程硕士
电子科学与技术硕士
新一代电子信息技术（含量子技术等）硕士
信息与通信工程博士
人工智能硕士
人工智能博士
通信工程（含宽带网络、移动通信等）硕士
新一代电子信息技术（含量子技术等）博士
通信工程（含宽带网络、移动通信等）博士

科研项目

自然科学横向项目: 铁路建设领域法规学习培训大模型, 2025-2025
红果园省部级"企事业"（新）: 星载 SAR 多种类车辆数据仿真, 2024-2025
其它（科技处）: 高校应用验证, 2024-2024
红果园国家级"四总部": XX识别建模及XX评估方法研究, 2024-2024
自然科学横向项目: 多模态图像融合方法研究, 2024-2025
北京市自然基金“青年”: 单源域泛化行人再识别研究, 2024-2025
自然科学横向项目: 高速铁路运营线施工安全监测预警关键技术研究, 2023-2023
自然科学横向项目: 铁路运营线施工安全监测系统设计与实施, 2023-2023
北京市自然基金“面上”: 无监督行人再识别研究, 2023-2025
国家自然科学基金“面上”: 域泛化医学图像分割方法研究, 2023-2026
红果园国家级“科技委”: XX系统架构与网络XX边缘, 2022-2023
红果园国家级"四总部": 面向XXX的分布式非正交多址自组网技术与终端, 2021-2025
红果园国家级"四总部": XX识别建模, 2022-2023
国家自然科学基金“面上”: 基于RGB-红外图像的跨模态行人再识别研究, 2022-2025
自然科学横向项目: 基于新一代信息技术的铁路运营线施工安全智能监控系统, 2021-2023
基础研究项目: 基于多模态信息融合的行人再识别研究, 2021-2023
红果园国家级“科技委”: 基于XXXX基础理论与关键技术研究, 2020-2025
其他部市(2020.10起仅限省部级科技计划\基金\专项): 视频入侵检测与内容理解技术研发及产业化, 2019-2024
自然科学横向项目: 轨道交通设备智能化运行维护管理与分析系统, 2019-2021
自然科学横向项目: 动车组联轴节齿轮表面点蚀视觉检测及控制系统, 2019-2020
国家自然科学基金“面上”: 基于ABVS图像的乳腺病变检出与分类及参数测量, 2019-2022
自然科学横向项目: 车载视觉系统技术研发_北京市科委配套经费_尾款, 2018-2020
基础研究项目: 基于 MRI 图像的肺肿块检测与分类方法研究, 2018-2021
北京市科委: 纵向预研基金-北京市科委-KWH15003531, 2018-2019
自然科学横向项目: 车载视觉系统技术研发(北京市科技计划配套经费), 2017-2018
自然科学类人才基金项目: 高铁列车传动部件的表面缺损分析关键技术研究, 2016-2018
北京市科委: 车载视觉系统技术研发, 2016-2018
国家自然科学基金"青年基金": 基于双边双视角的乳腺癌检测与分类方法研究, 2016-2018
国家自然科学基金“面上”: 多模态MRI图像肺癌检测与分类方法研究, 2016-2019
北京市科委: 显示驱动和触控集成芯片研发, 2015-2016
其它: 多模态MRI图像配准理论及应用研究 , 2015-2017
自然科学类人才基金项目: 基于双边双视角的乳腺癌检测方法研究, 2015-2017
国家自然科学基金“面上”: 基于乳腺X线图像处理的乳腺癌检测方法研究, 2013-2016

教学工作

信号与系统、数字信号处理、模式识别与机器学习、深度学习

论文/期刊

孙嘉,李艳凤,陈卢一夫,陈后金,王敏鋆.Dualistic Disentangled Meta-Learning Model for Generalizable Person Re-Identification.IEEE Transactions on Information Forensics and Security,2025,无(20)
彭琬茹,陈后金,李艳凤,孙嘉.Multi‑source domain generalization peron re‑identifcation with knowledge accumulation and distribution enhancement.Applied Intelligence,2024,54(无)
毛沄涛,陈紫微,刘思源,李艳凤.Unveiling the potential: Exploring the predictability of complex exchange rate trends.Engineering Applications of Artificial Intelligence,2024,2024(Volume 133)
彭琬茹,陈后金,李艳凤,孙嘉.Invariance Learning Under Uncertainty for Single Domain Generalization Person Re-Identification.IEEE Transactions on Instrumentation and Measurement,2024,无(73)
周涛,李艳凤,刘留,向左维,王宇.“深度学习”课程思政建设的实践探索.工业与信息化教育,2024,3(2024)
李艳凤,程展艺,孙嘉,陈后金,潘盼,任怡涵.Multi-domain consistency constraint model for semi-supervised lesion segmentation in automatic breast ultrasound (ABUS).Biomedical Signal Processing and Control,2024,98(无)
李晓玲,李艳凤,陈后金,孙嘉,王敏鋆,陈卢一夫.WTFusion: Wavelet-Assisted Transformer Network for Multisensor Image Fusion.IEEE SENSORS JOURNAL,2024,24(22)
潘盼,陈后金,李艳凤,彭琬茹,程林.Attention decoupled contrastive learning for semi-supervised segmentation method based on data augmentation.Physics in Medicine & Biology,2024,69(无)
姚旭,陈后金,李艳凤,孙嘉,韦佳宇.Lightweight image super‑resolution based on stepwise feedback mechanism and multi‑feature maps fusion.Multimedia Systems,2024,30(39)
李艳凤,任怡涵,程展艺,孙嘉,潘盼,陈后金.Automatic breast ultrasound (ABUS) tumor segmentation based on global and local feature fusion.Physics in Medicine & Biology,2024,69(11)
潘盼,李艳凤,陈后金,孙嘉,李晓玲,程林.ABUS tumor segmentation via decouple contrastive knowledge distillation.Physics in Medicine & Biology,2024,69(1)
邬雯倩,陈后金,李艳凤,陈紫微,孙嘉.ESFFM: An Electromagnetic Scattering Feature Fusion Model for SAR Automatic Target Recognition.IEEE SENSORS JOURNAL,2024,无(无)
周姿能,张钊,陈泽贤,李艳凤.Improving Person Re-identification by Rich Feature Discovery with Self-guided Network.Lecture Notes on Data Engineering and Communications Technologies,2022,None(80)
李晓玲,陈后金,李艳凤,孙嘉,王敏鋆,陈卢一夫.基于多重关系感知的红外与可见光图像融合网络.电子与信息学报,2024,无(无)
陶丹,陈后金,李艳凤,熊菲,李居朋.新工科背景下突出“三化”内涵的信息工程专业培养方案实践.中国现代教育装备,2024,431(0)
潘盼,陈后金,李艳凤,李家忻,程展艺,王舒.Dual Teacher Model for Semi-supervised ABUS Tumor Segmentation.Biomedical Signal Processing and Control,2024,87(105514)
孙嘉,李艳凤,陈卢一夫,陈后金,彭琬茹.Multiple integration model for single-source domain generalizable person re-identification.Journal of Visual Communication and lmage Representation,2023,98(104037)
李晓玲,李艳凤,陈后金,彭亚辉,陈卢一夫,王敏鋆.RITFusion: Reinforced Interactive Transformer Network for Infrared and Visible Image Fusion.IEEE Transactions on Instrumentation and Measurement,2023,无(无)
朱锦雷,李艳凤,陈后金,孙嘉,潘盼.近邻优化跨域无监督行人重识别算法.中国图象图形学报,2023,11(28)
陶丹,陈后金,张振江,李艳凤,黄琳琳.基于“四通模式”的信息工程专业培养方案修订.中国现代教育装备,2023,417(0)
李晓玲,陈后金,李艳凤,彭亚辉.Multi-focus image fusion via adaptive fractional differential and guided filtering.Multimedia Tools and Applications,2023,无(无)
石瑞姣,陈后金,李居朋,李艳凤,李丰,万成凯.基于注意力和多级特征融合的铁路场景小尺度行人检测算法.铁道学报,2022,5(44)
周沛,李艳凤,陈后金,彭亚辉.Coco-Attention for Tumor Segmentation in Weakly Paired Multimodal MRI Images.IEEE Journal of Biomedical and Health Informatics,2023,None(27)
彭琬茹,陈后金,李艳凤,孙嘉.MCFR: multi-confidence contrastive learning with feature refined for unsupervised person re-identification.VISUAL COMPUTER,2023,None(None)
李艳凤,张子璐,程展艺,程琳,陈新.Semi-supervised learning for ABUS tumor detection using deep learning method.IET IMAGE PROCESSING,2023,None(None)
李晓玲,李艳凤,陈后金,彭亚辉,潘盼.CCAFusion: Cross-modal Coordinate Attention Network for Infrared and Visible Image Fusion.IEEE Transactions on Circuits and Systems for Video Technology,2023,无(无)
李艳凤,朱晓迪,孙嘉,陈后金,李致远.Unsupervised person re-identification based on high-quality pseudo labels.Applied Intelligence,2023,12(53)
李艳凤,陈后金,陶丹,黄琳琳.数字信号处理课程思政教学探索.科教导刊,2022,6(None)
李艳凤,陈后金,彭亚辉,陶丹,李居朋.“信号与系统”课程思政教学案例的探索与实践.电气电子教学学报,2022,4(44)
陈后金,李艳凤,陶丹.思政铸魂的信号处理系列课程教学内涵改革.中国大学教学,2022,06(无)
李艳凤,陈后金,陶丹,黄琳琳.数字信号处理课程思政教学探索.科教导刊,2022,06(无)
李艳凤,陈后金.深度学习课程研究性实验教学设计.教育教学论坛,2021,19(None)
蔡纳新,陈后金,李艳凤,彭亚辉,Guo.Registration on DCE-MRI images via multi-domain image-to-image translation.Computerized Medical Imaging and Graphics,2023,无(104)
孙嘉,李艳凤,陈后金,彭亚辉,朱锦雷.Visible-infrared person re-identification model based on feature consistency and modal indistinguishability.Machine Vision and Applications,2023,1(34)
张又,陈后金,李艳凤,周俊琦.ImDeeplabV3plus with instance selective whitening loss in domain generalization semantic segmentation.IET Intelligent Transport Systems,2022,2022(无)
薛盼,陈后金,李艳凤,李居朋.Multi-scale pedestrian detection with global–local attention and multi-scale receptive field context.IET Computer Vision,2022,无(无)
周沛,陈后金,李艳凤,彭亚辉.Unpaired multi-modal tumor segmentation with structure adaptation.Applied Intelligence,2022,3(32)
王鑫慧,李新春,陈后金,彭亚辉,李艳凤.Pulmonary MRI Radiomics and Machine Learning: Effect of Intralesional Heterogeneity on Classification of Lesion.Academic Radiology,2022,2(29)
曹旭阳,陈后金,李艳凤,彭亚辉,周悦,程琳,Liu,沈定刚.Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound.Medical Image Analysis,2022,无(82)
周悦,陈后金,李艳凤,曹旭阳,王舒,沈定刚.Cross-model attention-guided tumor segmentation for 3D automated breast ultrasound (ABUS) images.IEEE Journal of Biomedical and Health Informatics,2022,1(26)
李晓玲,陈后金,李艳凤,彭亚辉.MAFusion: Multiscale Attention Network for Infrared and Visible Image Fusion.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,无(71)
孙嘉,李艳凤,陈后金,朱晓迪,彭亚辉.Inter-cluster and intra-cluster joint optimization for unsupervised cross-domain person re-identification.Knowledge-Based Systems,2022,无(251)
程展艺,李艳凤,陈后金,张子璐,潘盼,程琳.DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images.Computer Methods and Programs in Biomedicine,2022,2022(221)
张林林,李艳凤,陈后金,吴文,Chen,Wang.Anchor-free YOLOv3 for mass detection in mammogram.Expert Systems With Applications,2022,无(191)
李家忻,陈后金,李艳凤,彭亚辉,孙嘉,潘盼.Cross-modality synthesis aiding lung tumor segmentation on multi-modal MRI images.Biomedical Signal Processing and Control,2022,无(76)
李家忻,陈后金,彭亚辉,李艳凤.基于跨模态空间匹配的多模态肺部肿块分割网络.电子与信息学报,2022,1(44)
周悦,陈后金,李艳凤,王舒,程琳,李居朋.3D multi-view tumor detection in automated whole breast ultrasound using deep convolutional neural network.EXPERT SYSTEMS WITH APPLICATIONS,2021,None(168)
潘盼,陈后金,李艳凤,蔡纳新,程琳,王舒.Tumor segmentation in automated whole breast ultrasound using bidirectional LSTM neural network and attention mechanism.ULTRASONICS,2021,None(110)
周悦,陈后金,李艳凤,Liu,Xu,Wang,Yap,Shen.Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images.Medical Image Analysis,2021,None(70)
李家忻,陈后金,李艳凤,彭亚辉,蔡纳新,曹旭阳.AMRSegNet: adaptive modality recalibration network for lung tumor segmentation on multi-modal MR images.Multimedia Tools and Applications,2021,None(None)
刘留,胡健,李艳凤,薛健,陈后金.利用DFT在分析信号调制时频率泄漏的讨论.教育教学论坛,2020,21(21)
刘留,胡健,李艳凤,薛健,陈后金.利用DFT在分析信号调制时频率泄漏的讨论.教育教学论坛,2020,21(None)
蔡纳新,陈后金,李艳凤,彭亚辉,李居朋.Reducing non-realistic deformations in registration using precise and reliable landmark correspondences.Computers in Biology and Medicine,2019,115(115)
李瑞菁,陈后金,彭亚辉,李居朋,李艳凤.Sitting or Standing Data Acquisition Based Breast Ultrasound Computed Tomography.Chinese Journal of Electronics,2021,5(30)
王敏鋆,陈后金,李艳凤,游宇豪,朱锦雷.Multi-scale pedestrian detection based on self-attention and adaptively spatial feature fusion.IET Intelligent Transport Systems,2021,6(15)
朱晓迪,李艳凤,孙嘉,陈后金,朱锦雷.Learning with noisy labels method for unsupervised domain adaptive person re-identification.Neurocomputing,2021,无(452)
张子璐,李艳凤,吴文,陈后金,程琳,王舒.Tumor detection using deep learning method in automated breast ultrasound.Biomedical Signal Processing and Control,2021,无(68)
孙嘉,李艳凤,陈后金,张斌,朱锦雷.MEMF: Multi-level-attention emb e dding and multi-layer-feature fusion model for person re-identification.Pattern Recognition,2021,无(116)
曹旭阳,陈后金,李艳凤,彭亚辉,王舒,程琳.Dilated densely connected U-Net with uncertainty focus loss for 3D ABUS mass segmentation.Computer Methods and Programs in Biomedicine,2021,0(209)
李艳凤,张斌,孙嘉,陈后金,朱晓迪,朱锦雷.Person re-identification based on activation guided identity and attribute classification model.Multimedia Tools and Applications,2021,无(80)
朱晓迪,李艳凤,孙嘉,陈后金,朱锦雷.Unsupervised domain adaptive person re-identification via camera penalty learning.Multimedia Tools and Applications,2021,无(80)
张林林,李艳凤,吴文,陈后金,彭亚辉.Salient detection network for lung nodule detection in 3D Thoracic MRI Images.Biomedical Signal Processing and Control,2021,无(66)
孙嘉,李艳凤,陈后金,彭亚辉,朱晓迪,朱锦雷.Visible-infrared cross-modality person re-identification based on whole-individual training.Neurocomputing,2021,无(440)
孙嘉,李艳凤,陈后金,彭亚辉,朱锦雷.Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization Learning.IEEE TRANSACTIONS ON IMAGE PROCESSING,2021,无(30)
李艳凤,吴文,陈后金,程琳,王舒.3D tumor detection in automated breast ultrasound using deep convolutional neural network.MEDICAL PHYSICS,2020,11(47)
王鑫慧,陈后金,万齐,李艳凤,蔡纳新,李新春,彭亚辉.Motion correction and noise removing in lung diffusion-weighted MRI using low-rank decomposition.Medical & Biological Engineering & Computing,2020,9(58)
李瑞菁,陈后金,彭亚辉,李居朋,李艳凤.Ultrasound Computed Tomography of Knee Joint.Chinese Journal of Electronics,2020,4(29)
蔡纳新,陈后金,李艳凤,彭亚辉,李家忻.Adaptive Weighting Landmark-based Group-wise Registration On Lung DCE-MRI Images.IEEE Transactions on Medical Imaging,2020,0(0)
曹旭阳,陈后金,李艳凤,彭亚辉,王舒,程琳.Uncertainty Aware Temporal-Ensembling Model for Semi-supervised ABUS Mass Segmentation.IEEE Transactions on Medical Imaging,2021,1(40)
王鑫慧,万齐,陈后金,李艳凤,李新春.Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.EUROPEAN RADIOLOGY,2020,8(30)
李艳凤,张斌,孙嘉,陈后金,朱锦雷.基于多池化融合与背景消除网络的跨数据集行人再识别方法.通信学报,2020,10(41)
周涛,胡健,李艳凤,刘留,陶丹,陈后金.“金课”建设背景下的“信号与系统”研究性教学载体设计.实验技术与管理,2020,11(37)
李艳凤,张林林,陈后金,程琳.Mass detection in mammograms by bilateral analysis using convolution neural network.Computer Methods and Programs in Biomedicine,2020,无(195)
于翠如,陈后金,李艳凤,彭亚辉,李居朋,杨帆.Correction to: Breast cancer classification in pathological images based on hybrid features (Multimedia Tools and Applications, (2019), 78, 15, (21325-21345), 10.1007/s11042-019-7468-9).Multimedia Tools and Applications,2019,15(78)
吕文超,李艳凤,彭亚辉,李居朋,陈后金.Multimodal Registration of Chest MRI Images Based on Structure Compensation.Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,2019,3(31)
李艳凤,黄琳琳,陈后金,胡健.数字信号处理“听音识曲系统”综合实验设计.信息通信,2019,11(0)
于翠如,陈后金,李艳凤,彭亚辉,李居朋,杨帆.Breast cancer classification in pathological images based on hybrid features.MULTIMEDIA TOOLS AND APPLICATIONS,2019,15(78)
李艳凤,黄琳琳,陈后金,胡健.数字信号处理“听音识曲系统”综合实验设计.信息通信,2019,11(无)
李艳凤,陈后金,黄琳琳.新时代背景下的数字信号处理课程改革.教育教学论坛,2020,22(无)
周沛,陈后金,于泽宽,彭亚辉,李艳凤,杨帆.跨模态医学图像预测综述.电子学报,2019,1(47)
彭亚辉,曹旭阳,陈后金,李艳凤,李居朋,王贤刚.三结构各向同性包覆燃料颗粒相衬CT图像的噪声和伪像抑制方法初探.电子学报,2019,2(47)
陶丹,胡健,李艳凤,薛健,黄琳琳,陈后金.信号处理系列课程新形态教材建设.教育教学论坛,2019,49(0)
李艳凤,张林林,陈后金,杨娜.Lung Nodule Detection With Deep Learning in 3D Thoracic MR Images.IEEE Access,2019,无(7)
黄琳琳,陶丹,胡健,薛健,李艳凤,陈后金.“数字信号处理”全英文教学实践与思考.教育教学论坛,2019,47(11)
吕文超,李艳凤,彭亚辉,李居朋,陈后金.胸部多模MRI图像的结构补偿配准方法.计算机辅助设计与图形学学报,2019,3(31)
李艳凤,张林林,陈后金,杨娜.Lung Nodule Detection With Deep Learning in 3D Thoracic MR Images.IEEE Access,2019,-(7)
于翠如,陈后金,李艳凤,彭亚辉,李居朋,杨帆.Breast cancer classification in pathological images based on hybrid features.Multimedia Tools and Applications,2019,1(1)
李艳凤,曹旭阳,陈后金,张林林,杨娜.基于机器视觉的列车外齿轮磨损状态检测方法.铁道学报,2019,12(40)
曹霖,陈后金,李居朋,李艳凤,程琳.对比双侧视图信息的致密型乳腺X线图像肿块检测.计算机辅助设计与图形学学报,2018,10(30)
吕文超,陈后金,彭亚辉,李艳凤,李居朋.An atlas-based multimodal registration method for 2D images with discrepancy structures.Medical & Biological Engineering & Computing,2018,56(11)
李艳凤,陈后金.IIR数字滤波器设计中频率转换探究.电气电子教学学报,2018,3(40)
李艳凤,陈后金,胡健.浅析FFT算法中对称关系.电气电子教学学报,2017,5(39)
魏杰,曹旭阳,陈后金,李艳凤.乳腺X线图像肿块分类方法研究.北京交通大学学报,2017,5(41卷)
李艳凤,陈后金,曹霖,韩振中,程琳.基于哈希理论和LNP反馈的乳腺X线图像肿块检索方法.物理学报,2014,20(63)
李艳凤,陈后金,曹霖,马津源.A Survey of Computer-aided Detection of Breast Cancer with Mammography.Journal of Health & Medical Informatics,2016,4(7)
陈后金,李艳凤,彭亚辉.多视角乳腺!线图像匹配方法综述.数据采集与处理,2016,5(31)
李艳凤,陈后金,魏学业,彭亚辉,程琳.Mass classification inmammograms based on two-concentricmasks and discriminating texton.PatternRecognition,2016,60(2016)
李艳凤,陈后金,Rohde,姚畅,程琳.Texton analysis for mass classification in mammograms.Pattern Recognition Letters,2015,无(52)
李艳凤,陈后金,Yang,程琳,曹霖.A bilateral analysis scheme for false positive reduction in mammogram mass detection.Computers in Biology and Medicine,2015,2015(57)
韩振中,陈后金,李艳凤,李居朋,姚畅,程琳.基于SPCNN与改进型矢量CV模型的乳腺X射线肿块分割方法.物理学报,2014,7(63)
张胜君,陈后金,李艳凤,姚畅,程琳.乳腺X线图像结构扭曲检测的研究.自动化学报,2014,8(40)
郝超凡,李艳凤,孙嘉,陈后金.MFEN: Multi-scale Feature Expansion Network for Visible-Infrared Person Re-Identification.2024 International Conference on Computer Vision and Deep Learning,2024
潘盼,李艳凤,陈后金,赵旭之,陈卢一夫,张翀.Gaussian_Transformer_and_CNN_Segmentation_Method_Based_on_Contrastive_Learning_of_Boundary.International Conference on Image, Vision and Computing,2023
周俊琦,李艳凤,陈后金.Learning Spatial and Geometric Information for Robust Features.2023 3rd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2023,2023
游宇豪,陈后金,李艳凤,王敏鋆,朱锦雷.Small-scale pedestrian detection method based on attention mechanism and adaptive feature fusion.Journal of Physics: Conference Series,2021
王燕磊,陈后金,李艳凤.DM-YOLOv5 for ABUS Detection.2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML),2023
孙嘉,李艳凤,陈后金,彭亚辉.A sample diversity and identity consistency based cross-modality model for visible-infrared person reidentification.Fourteenth International Conference on Digital Image Processing (ICDIP 2022),2022
孙嘉,李艳凤,陈后金,彭亚辉.A PERSON RE-IDENTIFICATION BASELINE BASED ON ATTENTION BLOCK NEURAL ARCHITECTURE SEARCH.IEEE International Conference on Image Processing,2022
游宇豪,陈后金,李艳凤,王敏鋆,朱锦雷.Small-scale Pedestrian Detection Method based on Attention Mechanism and Adaptive Feature Fusion.2021 International Conference on Advanced Algorithms and Signal Image Processing（AASIP 2021）,2021
李家忻,陈后金,李艳凤,彭亚辉.A Novel Network Based on Densely Connected Fully Convolutional Networks for Segmentation of Lung Tumors on Multi-Modal MR Images.2019 International Conference on Artificial Intelligence and Advanced Manufacturing,2019
孙嘉,李艳凤,陈后金,李居朋,李峰.Pedestrian Detection Based on Depth Information.12th International Conference on Machine Learning and Computing,2020
曹旭阳,陈后金,李艳凤,彭亚辉,周悦,程琳.Boundary Loss with Non-Euclidean Distance Constraint for ABUS Mass Segmentation.2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI),2020
王鑫慧,陈后金,李艳凤,晏晨,彭亚辉,李新春.Improving the diagnosis of lung cancer based on multiparametric MRI.ELEVENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2019),2020
张林林,李艳凤,陈后金,程琳.Mammographic Mass Detection by Bilateral Analysis Based on Convolution Neural Network.ICIP,2019
蔡纳新,陈后金,李艳凤,彭亚辉.Intrusion Detection and Tracking at Railway Crossing.Artificial Intelligence and Advanced Manufacturing,2019
李艳凤,陈后金,张林林,程琳.Mammographic mass detection based on convolution neural network.2018 24th International Conference on Pattern Recognition (ICPR),2018
王传刚,李富强,李艳凤,陈后金,曹旭阳.A Defect Status Detecting Method for External Gear in Railway.2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC),2018
王传刚,李富强,李艳凤,陈后金,曹旭阳.A Defect Status Detecting Method for External Gear in Railway.2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC),2018
李艳凤,陈后金,魏学业.An Automated Lung Parenchyma Segmentation Method for 3D Thoracic MR Images. International Conference on Software Engineering and Information System (SEIS),2015

专著/译著

专利

一种行人再识别方法
一种无监督跨域行人再识别方法
一种图像超分辨率网络的训练方法及装置

一种基于弱监督语义分割和特征弥补的类间遮挡目标检测网络模型的训练方法

一种用于视觉定位的特征提取模型的训练方法及装置

一种基于多层级数据扰动策略的域泛化行人再识别方法

一种单源域泛化行人再识别方法

一种通用型多模态图像融合方法及装置

软件著作权

SAR图像舰船检测系统

图像超分辨率重建系统

ABUS三维图像分割系统

获奖与荣誉

国家级教学成果奖二等奖

国家级一流本科课程，数字信号处理

国家级一流本科课程，信号与系统

北京市高等教育教学成果二等奖

北京高校优质本科课程（重点），信号与系统

北京高校优质本科教材（重点），数字信号处理

李艳凤