在IEEE TIP、TNNLS、TKDE、TCYB等知名期刊上发表高水平学术论文50余篇，其中SCI收录40余篇，授权国家发明专利7件，登记计算机软件著作权10余件。相关成果获河南省科技进步奖二等奖1项、河南省优秀科技论文一等奖1项和二等奖2项。承担IEEE TIP、TCYB、TNNLS等多个国际知名期刊和会议的审稿工作。 论文发表： Yanting Li, Liming Zhang, Tao Qian*, “2D Partial Unwinding - A Novel Non-linear Phase Decomposition of Images”,IEEE Transactions on Image Processing, 28(10): 4762-4773, 2019 (SCI一区, CCF-A, Top期刊). Yanting Li, Junwei Jin*, Jiangtao Ma, Fubao Zhu, Baohua Jin, Jing Liang, C. L. Philip Chen, “Imbalanced Least Squares Regression with Adaptive Weight Learning”, Information Sciences,DOI: 10.7717/peerj-cs.2638, 2025(SCI四区). Liang Zhao*, Zhengjie Wei,Yanting Li, Junwei Jin, Xuan Li,“SEDG-Yolov5: A Lightweight Traffic Sign Detection Model Based on Knowledge Distillation”, Electronics, 12(2): 305，2023（SCI四区） Dengfeng Li*,Yanting Li, “Finite extensions of generalized Bessel sequences to generalized frames”,Acta Mathematica Scientia, 38B(6): 1939–1950, 2018 (SCI二区). Fubao Zhu, Longxi Li, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan,Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Chuang Han, Zhixin Jiang, Weihua Zhou, “A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images”, Computers in Biology and Medicine, 160: 106954, 2023 (SCI二区). Ni Yao, Longxi Li, Zhengyuan Gao, Chen Zhao, Yanting Li等, Deep learning-based diagnosis of disease activity in patients with Graves' orbitopathy using orbital SPECT/CT, European Journal of Nuclear Medicine and Molecular Imaging, 50: 3666-3674, 2023 (SCI一区). Dengfeng Li*,Yanting Li, “Scalability of generalized frames”, Advances in Mathematics (China) Series B English Edition, 48(2): 219–228, 2018 (核心期刊). Dengfeng Li*,Yanting Li, “G-dual Frames for generalized frames”, Advances in Mathematics (China) Series B English Edition, 45(6): 919–931, 2016 (核心期刊). 韩闯,阙文戈,王治忠,王松伟,李艳婷,师丽,基于心电图的心肌梗死智能辅助诊断方法研究综述,生物医学工程学杂志, 2023, 40(5): 1019-1026 (EI期刊). Yanting Li, Yiping Gao, Junwei Jin, C. L. Philip Chen, Adaptive weighted broad learning system for imbalanced classification, IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference, 2024 (EI会议).
35)Yanting Li, Shuai Wang, Junwei Jin, C. L. Philip Chen, “Weighted competitive-collaborative representation based classifier for imbalanced data classification”, International Conference on Artificial Intelligence, 2022：462-472(CPCI会议). 36)Yanting Li, Junwei Jin*, Huaiguang Wu, Lijun Sun, C. L. Philip Chen, “Multi-resolution Collaborative Representation for Face Recognition”, International Conference on Systems, Man and Cybernetics (SMC), 2020 (EI会议, CCF-C). 37)Junwei Jin, C. L. Philip Chen*,Yanting Li, “Robust Broad Learning System for Uncertain Data Modeling”, International Conference on Systems, Man and Cybernetics (SMC), 2018 (EI会议, CCF-C). 授权发明专利： 李艳婷；金军委；王帅；陶红伟；吴怀广；顿辉；朱付保，一种基于补子空间的加权协同表示非均衡分类方法，ZL 202210356037.2，2025.07.08，已授权 李艳婷；金军委；吴怀广；赵亮；孙丽君，一种领域先验嵌入型协同表示模式识别方法，ZL 202010939602.9，2022.8.16，已授权 李艳婷；金军委；吴怀广，一种稀疏协同联合表示模式识别方法，ZL 202011599214.7，2022.8.16，已授权 金军委；李艳婷；耿昀；耿彪；秦振皓；周小宁；杨铁军；樊超；赵亮；于俊伟，基于混合范数正则约束的宽度学习图像分类方法及装置，ZL 2022 1 0539303.5，2025.04.25，已授权 顿辉；丁汉清；李艳婷，一种超密集场景下的D2D通信信道分配方法，ZL 20221 0005755.5，2024.12.06，已授权
6)韩闯；庾骏；朱付保；陶红伟；李祖贺；黄伟；姚妮；南姣芬；李艳婷；孙佳佳， 基于知识图谱的冠心病多模态数据特征提取方法，ZL 2023 1 1242845.7，2024.08.06， 已授权 获奖： 医疗影像大数据智能处理与诊断支持关键技术及应用，河南省科技进步奖二等奖，2025年，第六排名，6/10 Imbalanced Least Squares Regression with Adaptive Weight Learning，河南省教育厅优秀科技论文二等奖，2025年，第一排名, 1/3 Discriminative group-sparsity constrained broad learning system for visual recognition，河南省教育厅优秀科技论文一等奖，2024年，第二排名 A real-time classification model based on joint sparse-collaborative representation，河南省教育厅优秀科技论文二等奖，2022年，第一排名
|
首页 计算机与人工智能学院 教育教学 导师风采
