学习经历：
2010.09-2015.06 南方医科大学，生物医学工程，博士，导师：冯前进教授
2014.04-2015.04 美国北卡罗来纳大学教堂山分校，生物统计学系，访问学生，导师：冯前进教授和Prof. Hongtu Zhu
2006.09-2010.06 南方医科大学，生物医学工程，学士
工作经历：
2024.08至今 南方医科大学生物医学工程学院医学信息所，教授，副所长
2015.09-2024.07 南方医科大学生物医学工程学院医学信息所，副教授
主要获奖情况（人才类奖项）
“广东省特支计划”青年珠江学者
在研科研项目：
1. 国家自然科学基金面上项目，2026.01-2029.12，主持
2. 国家自然科学基金面上项目，2023.01-2026.12，主持
3. 广东省自然科学基金面上项目，2023.02-2026.12，主持
医学图像处理和人工智能，主要以脑部、肝脏疾病的预测为落脚点开展研究，旨在从医学数据中获取有用信息，为重大疾病的临床诊断提供及时有效的依据和决策支持。
1. 退行性神经疾病分析研究：整合多源数据（多模态影像、基因、行为表型）信息，实现包括AD、PD等退行性神经疾病的早期预测。针对该方向的工作，本人已有10篇一区论文（IEEE Transactions on Pattern Analysis and Machine Intelligence1篇，Medical Image Analysis4篇，IEEE Transactions on Medical Imaging1篇，Molecular Psychiatry1篇，Pattern Recognition1篇，Expert Systems with Applications1篇，Neuroimage1篇）被录用发表。
2. 基于fNIRS的心理学研究及认知神经科学研究：通过fNIRS测量人体在自然情境中大脑皮层血流状况，主要利用多个波长的近红外光与脑组织中生色团物质之间的吸收和散射关系，考察特定状态下脑组织中氧合血红蛋白、脱氧血红蛋白以及总血红蛋白的浓度变化，反映大脑的状态与加工的过程。针对该方向的工作，本人已在一区杂志IEEE Transactions on Neural Systems & Rehabilitation Engineering和International Journal of Clinical and Health Psychology上发表相关论文。
3. 脑胶质瘤一站式辅助诊疗研究：主要研究内容包括术前肿瘤分割、多基因型联合分类，以及术后早期高复发风险区域预测。针对该方向的工作，本人已有4篇一区和2篇二区论文（Medical Image Analysis1篇，IEEE Transactions on Neural Networks and Learning Systems1篇，IEEE Journal of Biomedical and Health Informatics1篇，Neuroimage1篇，Computer Methods and Programs in Biomedicine1篇，IEEE Transactions on Biomedical Engineering1篇）被录用发表。
4. 肝病智能辅助诊疗研究：主要研究内容包括肝硬化TIPS术后门脉高压、肝性脑病风险预测，以及肝细胞癌升期型进展风险预测。针对该方向的工作，本人已有4篇一区和2篇二区论文（Information fusion1篇，Engineering Applications of Artificial Intelligence1篇，IEEE Transactions on Medical Imaging1篇，EClinicalMedicine（柳叶刀子刊）1篇，Hepatology International1篇，Liver International1篇）被录用发表。
[1] Xiumei Chen, Wenliang Pan, Tao Wang, Xinyue Zhang, Wei Xiong, Ting Tian, Qianjin Feng*, and Meiyan Huang*. Dual adaptive disentangled representation learning with multimodal data for disease diagnosis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026. (IF: 18.6)
[2] Xiumei Chen#, Xinyue Zhang#, Wei Xiong, Tao Wang, Aiwei Jia, Qianjin Feng*, and Meiyan Huang*. Hippocampal surface morphological variation-based genome-wide association analysis network for biomarker detection of Alzheimer’s disease, Medical Image Analysis, 2026, 110, 103952. (IF: 11.8)
[3] Boya Wu#, Jianyun Cao#, Wei Xiong#, Yanchun Lv, Guohua Zhao, Xiaoyue Ma, Ying Zhang, Jiawei Zhang, Junguo Bu, Tao Xie*, Qianjin Feng*, and Meiyan Huang*. Contrastive learning and prior knowledge-induced feature extraction network for prediction of high-risk recurrence areas in Gliomas, Medical Image Analysis, 2025, 106, 103740. (IF: 11.8)
[4] Meiyan Huang#,*, Xiaoling Zhang#, Xiumei Chen, Xinyue Zhang, Bingxin Zhao, Chao Huang, Ting Tian, Chuang Li, Qianjin Feng*, and Wenliang Pan*. A phenome-wide association and Mendelian randomization study for suicide attempt within UK Biobank, Molecular Psychiatry, 2026, 31, 1051-1060. (IF: 10.1)
[5] Tao Wang, Xiumei Chen, Jiawei Zhang, Qianjin Feng*, and Meiyan Huang*. Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases, Medical Image Analysis, 2023, 88, 102842. (IF: 10.9)
[6] Haoran Lai#, Sirui Fu#, Jie Zhang, Jianyun Cao, Qianjin Feng*, Ligong, Lu*, and Meiyan Huang*. Prior knowledge-aware fusion network for prediction of macrovascular invasion in hepatocellular carcinoma, IEEE Transactions on Medical Imaging, 2022, 41(10), 2644-2657. (IF: 10.6)
[7] Xiumei Chen, Tao Wang, Haoran Lai, Xiaoling Zhang, Qianjin Feng*, and Meiyan Huang*. Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases, Medical Image Analysis, 2022, 78, 102419. (IF: 10.9)
[8] Sirui Fu#, Haoran Lai#, Qiyang Li#, Yao Liu, Jiawei Zhang, Jianwen Huang, Xiumei Chen, Chongyang Duan, Xiaoqun Li, Tao Wang, Xiaofeng He, Jianfeng Yan, Ligong Lu*, and Meiyan Huang*. Multi-task deep learning network to predict future macrovascular invasion in hepatocellular carcinoma, EClinicalMedicine, 2021, 42, 101201. (IF: 17.033)
[9] Meiyan Huang*, Xiumei Chen, Yuwei Yu, Haoran Lai, and Qianjin Feng*. Imaging genetics study based on a temporal group sparse regression and additive model for biomarker detection of Alzheimer’s disease, IEEE Transactions on Medical Imaging, 2021, 40(5), 1461-1473. (IF: 11.037)
[10] Meiyan Huang*, Haoran Lai, Yuwei Yu, Xiumei Chen, Tao Wang, and Qianjin Feng*. Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer’s disease, Medical Image Analysis, 2021, 73, 102189. (IF: 13.828)
[11] Shuoling Zhou#, Sirui Fu#, Wenbo Wang#, Shuguang Liu#, Lei Yang, Mingyue Cai*, Qianjin Feng*, and Meiyan Huang*. Multi-tissue deep fusion network for prediction of pulmonary metastasis in hepatocellular carcinoma, Information fusion, 2026, 127, 103748. (IF: 15.5)