中山大学电子与通信工程学院助理教授，硕士生导师。本科毕业于北京航空航天大学，后直博于清华大学无线多媒体通信实验室，毕业后在阿里云从事工业机器视觉算法研发工作。2020年4月中山大学“****”引进至中山大学电子与通信工程学院工作。
主要研究领域包括遥感图像处理、工业机器视觉等，先后主持广东省政府和阿里巴巴集团合作举办的“天池大赛-广东工业智造大数据创新大赛”，阿里云和广东韶钢松山股份有限公司合作科研项目《金相图谱云计算》等。公开发表学术论文12篇，其中一作论文8篇，获得国家授权发明专利2项。此外，曾获全国电子设计大赛国家二等奖，北京市一等奖。
联系方式：
Email：linbh6@mail.sysu.edu.cn; linbaihong111@126.com
代表性论文：
[1] Baihong Lin, Xiaoming Tao, Jianhua Lu, Hyperspectral Image Denoising via Matrix Factorization and Deep Prior Regularization, IEEE Transactions on Image Processing, 2020, 29: 565-578.
[2] Baihong Lin, Xiaoming Tao, Yiping Duan, Jianhua Lu, Hyperspectral and Multispectral Image Fusion Based on Low Rank Constrained Gaussian Mixture Model, IEEE Access, 2018, 6: 16901-16910.
[3] Baihong Lin,Xiaoming Tao,Mai Xu,Linhao Dong,Jianhua Lu, Bayesian Hyperspectral and Multispectral Image Fusions via Double Matrix Factorization, IEEE Transactions on Geoscience and Remote Sensing, 2017, 55: 5666 – 5678.
[4] Baihong Lin, Xiaoming Tao, Linhao Dong, Jianhua Lu, Variational EM approach for high resolution hyper-spectral imaging based on probabilistic matrix factorization, 23rd IEEE International Conference on Image Processing (ICIP 2016), Phoenix, Arizona, USA, 2016-09-25至2016-09-28.
[5] Baihong Lin, Xiaoming Tao, Shaoyang Li, Linhao Dong, Jianhua Lu, Variational Bayesian image fusion based on combined sparse representations, 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, 2016-03-21至2016-03-25.