刘彦北 - 天津工业大学 - 电子与信息工程学院

个人简介

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”第三层次创新型人才。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等顶级期刊和国际会议上发表学术论文30余篇，其中以第一和通讯作者发表SCI论文15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、中国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。

研究领域

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

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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), 2023, 42(2):557-567. (SCI一区, TOP期刊, IF=11.037) 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) 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) 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) 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. doi: 10.1109/TBDATA.2023.3266590. (SCI二区, IF=4.271) 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), 2023. (CCF-A，人工智能领域顶会) 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) 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. 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. Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang. Unsupervised feature selection via diversity-induced self-representation, Neurocomputing, 2017, 219: 350-363. 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. 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.