姓名：刘彦北
职称：副教授/硕士生导师
职务：智能医学工程系主任
Email：liuyanbei@tiangong.edu.cn
招生专业：信息与通信工程、生物医学工程、电子信息类别（专硕），欢迎报考咨询
主要经历：
(1) 2019.09 - 至今天津工业大学生命科学学院智能医学工程系任教
(2) 2017.02 -2019.08 天津工业大学电子与信息工程学院任教
(3) 2020.12 - 2022.12 天津大学信息与通信工程专业博士后
(4) 2013.09 - 2017.01 天津大学电子信息工程学院工学博士
(5) 2009.09 - 2012.03 天津工业大学信号与信息处理专业硕士
(6) 2005.09 - 2009.07 郑州轻工业大学电子信息科学与技术专业学士
主要研究方向：
(1) 图学习&多视图学习/ Graph Learning & Muti-view Learning
(2) 医学图像处理/ Medical Image Processing
(3) 生物组学数据分析/ Biomics Data Analysis
主要科研项目：
(1) 天津市自然基金面上项目，“面向复杂多模态关联数据的肺癌分型和预后关键算法研究”(23JCYBJC00520)，负责人
(2) 中国博士后科学基金面上项目，“结合CT影像和个体因素的新冠肺炎诊断模型研究”(2022M712370)，负责人
(3) 天津市教委项目，“基于半监督和主动学习的特征选择方法研究”(2017KJ087)，负责人
(4) 高维信息智能感知与系统教育部重点实验室、多模态认知计算安徽省重点实验室等开放课题，负责人
代表性论著：
[1] Yanbei Liu, Lianxi Fan, Xiao Wang, Zhitao Xiao, Shuai Ma, Yanwei Pang, Jerry Chun-Wei Lin. HGBER: Heterogeneous graph neural network via bidirectional encoding representation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. Doi: 10.1109/TNNLS.2022.3232709. (SCI一区, TOP期刊, IF=14.255)
[2] Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen. Structural attention graph neural network for diagnosis and prediction of COVID-19 severity. IEEE Transaction on Medical Imaging (TMI), 2022, 42(2):557-567. (SCI一区, TOP期刊, IF=11.037)
[3] Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen. Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis, Medical Image Analysis (MedIA), 2021, 69: 101953. (SCI一区, Top期刊, IF:11.148)
[4] Yanbei Liu, Wanjin Shan, Xiao Wang, Zhitao Xiao, Lei Geng, Fang Zhang, Dongdong Du, Yanwei Pang. Cross-scale contrastive triplet networks for graph representation learning, Pattern Recognition, 2024, 145: 109907. (SCI 一区, TOP期刊, IF=8.48)
[5] Yanbei Liu, Jinxin Liu, Zhongqiang Wang, Xiao Wang, Fang Zhang, Zhitao Xiao. Binarized network embedding with community structural information, Information Science, 2022,616: 204-216. (SCI一区, TOP期刊, IF=8.233)
[6] Yanbei Liu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Jerry Chun-Wei Lin. Self-consistent graph neural networks for semi-supervised node classification. IEEE Transaction on Big Data (TBD), 2023, 9(4):1186-1197. (SCI二区, IF=7.2)
[7] Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao. Multi-Scale subgraph contrastive learning. In Proceedings of theInternational Joint Conference on Artificial Intelligence (IJCAI), Macao, 2023. (CCF-A，人工智能领域顶会)
[8] Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao. Independence promoted graph disentangled networks. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), USA, 2020. (CCF-A，人工智能领域顶会)
[9] Yanbei Liu, Qi Wang, Xiao Wang, Fang Zhang, Lei Geng, Jun Wu, Zhitao Xiao. Community enhanced graph convolutional networks. Pattern Recognition Letters, 2020, 138: 462-468.
[10] Zhitao Xiao, Xiaomeng Zhang, Yanbei Liu*, Lei Geng, Jun Wu, Wen Wang, Fang Zhang. RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation. Signal, Image and Video Processing, 2023:1-7.
[11] Fang Zhang, Wen Qin, Yanbei Liu*, Zhitao Xiao, Jinxin Liu, Qi Wang, Kaihua Liu. A dual-channel convolution neural network for image smoke detection, Multimedia Tools and Applications, 2020:1-17.
[12] Yu Qin, Yihan Guo, Liyu Wang, Yanbei Liu*, Xiaomeng Zhang, Zijun Li, Zixin Cai, Jieyang He. CNN-Transformer combined with skip structure for tuberculosis cavity segmentation. In Proceedings of the International Conference on Computing and Artificial Intelligence (ICCAI), 2023:131-138.
[13] Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang. Unsupervised feature selection via diversity-induced self-representation, Neurocomputing, 2017, 219: 350-363.
[14] 刘彦北,李赫南, 张长青等.结构图注意力网络的新冠肺炎轻重症诊断算法. 中国图象图形学报, 2022, 27(3):750-761.
[15] 樊连玺, 刘彦北*, 王雯等. 基于多模态表示学习的阿尔兹海默症诊断算法. 计算机科学, 2021,48(10):107-113.
教授课程：
(1) 信号与系统
(2) 数字信号处理
(3) 深度学习与医学数据分析等
其他情况：
(1) 中国计算机学会（CCF）高级会员、天津市“131”创新型人才入选者
(2) 担任中国计算机学会人工智能与模式识别专委会（CCF AI）委员、医学图像计算青年研讨会（MICS）委员等学术兼职
(3) 指导学生获研究生国家奖学金、天津工业大学优秀毕业生、中国国际“互联网+”大学生创新创业大赛国家铜奖、天津市金奖等