姓名：刘彦北
职称：副教授/硕士生导师
Email：liuyanbei@tiangong.edu.cn
研究方向：图学习、多视图学习理论与方法；医学图像处理，生物数据分析，智能医疗
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
刘彦北，天津大学工学博士，副教授，硕士生导师。中国计算机学会（CCF）高级会员、天津市“131”创新型人才入选者。主要研究方向为图学习、多视图学习、医学图像处理、智能医疗等。在IEEE TMI 、IEEE TNNLS、IEEE TBD、Medical Image Analysis、AAAI、IJCAI等国际期刊和会议上发表学术论文40余篇，主持和参与国家级、天津市课题10余项。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）委员等多个学术兼职；同时担任IEEE TNNLS/TKDE/TBD/TMI/ TCBB、MedIA、PR，AAAI、IJCAI、MICCAI等国际期刊和会议审稿人。
代表性论文：
[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 the International 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.
科研项目：
1. 主持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”
2. 主持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”
3. 主持天津市教委项目“基于半监督和主动学习的特征选择方法研究”
4. 主持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
5. 参与京津冀基础研究合作项目“结合眼底视网膜改变和个体因素的糖尿病肾病预测模型研究”
6. 参与军队后勤科研计划项目，“****急救器材研究”
7. 参与中国电子科技集团公司第五十四研究所项目，“****行为分析技术研究”
8. 参与天津市青年自然基金项目“基于稀疏特征学习的SAR图像变化检测方法研究”
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
指导学生获奖情况：
2022年指导学生荣获第八届中国国际“互联网+”大学生创新创业大赛国家铜奖、天津市金奖
2021年指导学生荣获天津工业大学优秀毕业生
2019年指导学生荣获研究生国家奖学金
2019年指导学生荣获全国大学生电子设计竞赛天津赛区天津市三等奖
