基本情况：

博士，硕士生导师，中共党员，中国计算机学会(CCF)会员。主要研究方向为多媒体哈希(图像哈希、视频哈希)、图像质量评价、医学图像处理、计算机辅助诊断、深度学习等。参与国家自然科学基金项目2项、广西创新驱动发展专项项目1项，主持广西高校中青年教师科研基础能力提升项目1项、广西多源信息挖掘与安全重点实验室开放基金项目1项、引进人才科研启动项目1项，申请软件著作权4项，在IEEE Journal of Biomedical and Health Informatics(SCI二区+EI, TOP, CCF-C类期刊)、Computers & Security(SCI二区+EI, CCF-B类期刊)、Journal of Biomedical Informatics(SCI二区, CCF-C类期刊)、Medical Physics(SCI二区+EI)、IET Image Processing(SCI+EI, CCF-C类期刊)等国内外著名期刊发表SCI/EI论文20余篇。担任Information Fusion、IEEE Journal of Biomedical and Health Informatics、Artificial Intelligence In Medicine、EURASIP Journal on Image and Video Processing、International Journal of Machine Learning and Cybernetics、IET Image Processing、Pattern Analysis and Applications、Machine Vision and Applications等国际期刊审稿人。邮箱: laohuanlh@gxmzu.edu.cn。

主授课程：

机器学习算法与应用、算法设计与分析、软件项目管理、计算机网络

科研项目：

1.重点实验室开放性研究课题“面向模态不平衡脑影像的阿尔茨海默症分类研究”(MIMS22-09)(主持)；

2.广西高校中青年教师科研基础能力提升项目“基于多模态脑影像特征的阿尔茨海默症分类研究”(2023KY0170)(主持)；

3.引进人才科研启动项目“用于阿尔茨海默症的脑影像特征提取及其分类研究”(2022KJQD021)(主持)；

4.国家自然科学基金“基于立体视觉的植物冠层叶片角度分布监测技术研究”(61762013)(参与)；

5.国家自然科学基金“基于射线段取样的复杂网格模型大规模布尔运算的研究”(61662006)(参与)；

6.国家自然科学基金“面向加密图像的信息隐藏模型与方法”(61562007)(参与)。

发表论文(节选)：

[1] Huan Lao(劳欢), Xuejun Zhang*. Regression and Classification of Alzheimer’s Disease Diagnosis Using NMF-TDNet Features From 3D Brain MR Image, IEEE Journal of Biomedical and Health Informatics, March 2022, 26(3):1103-1115.(中科院2区，TOP期刊，CCF推荐C类期刊，JCR1区，IF=6.7)

[2] Huan Lao(劳欢), Xuejun Zhang*, Yanyan Tang, Chan Liang. Alzheimer’s disease diagnosis based on the visual attention model and equal-distance ring shape context features, IET Image Processing, 2021, 15:2351-2362. (中科院4区，CCF推荐C类期刊，JCR3区，IF=2.0)

[3] Huan Lao(劳欢), Xuejun Zhang*. Diagnose Alzheimer’s disease by combining 3D discrete wavelet transform and 3D moment invariants, IET Image Processing, 2022, 16:3948-3964. (中科院4区，CCF推荐C类期刊，JCR3区，IF=2.0)

[4] Yanjiao Ban, Huan Lao(劳欢)*, Bin Li, Wenjun Su, Xuejun Zhang*. Diagnosis of Alzheimer’s disease using hypergraph p-Laplacian regularized multi-task feature learning, Journal of Biomedical Informatics, 2023, 140:104326. (中科院2区, CCF推荐C类期刊, JCR2区, IF=4.0)

[5] Yanjiao Ban, Xuejun Zhang*, Huan Lao(劳欢)*. Diagnosis of Alzheimer’s disease using structure highlighting key slice stacking and transfer learning, Medical Physics, 2022, 49:5855-5869. (中科院2区, JCR1区, IF=3.2)

[6] Huan Lao(劳欢), Hongfei Jia, and Zhenhai Chen. Diagnosis of Alzheimer's Disease Based on Structural Graph Convolutional Neural Networks. In Proceedings of the ACM Turing Award Celebration Conference-China 2024 (ACM-TURC '24). Association for Computing Machinery, New York, NY, USA, 148–152.(EI)

[7] Wenxin Wei⁺, Huan Lao⁺(劳欢), Yafu Tan, Shushu Liang, Ziming Ye, Chao Qin*, Yanyan Tang*. Vascular tortuosity is related to reduced thalamic volume after middle cerebral artery occlusion, Heliyon, 2023, 9(5):e15581. (中科院3区, JCR1区)

[8] Hongfei Jia*, Huan Lao(劳欢). Deep learning and multimodal feature fusion for the aided diagnosis of Alzheimer's disease, Neural Computing and Applications, 2022, 34:19585-19598. (中科院3区，CCF推荐C类期刊，JCR2区)

[9] Chan Liang, Huan Lao(劳欢), Tao Wei, Xuejun Zhang*. Alzheimer’s Disease Classification from Hippocampal Atrophy based on PCANet-BLS, Multimedia Tools and Applications, 2022, 81:11187-11203. (中科院4区，CCF推荐C类期刊，JCR2区)

[10] Zhenjun Tang*, Huan Lao(劳欢), Xianquan Zhang, Kai Liu, Robust image hashing via DCT and LLE, Computers & Security, 2016, 62:133-148.(中科院2区, CCF推荐B类期刊, , JCR1区, IF=4.8)