郭艳蓉，安徽省合肥市人。2013年6月于合肥工业大学获得博士学位，2013年8月至2016年9月在美国北卡大学教堂山分校图像显示增强与分析实验室(IDEALAB)从事博士后研究，合作导师为Dinggang Shen教授(上海科技大学生物医学工程学院创始院长，IEEE/IAPR/MICCAI Fellow)。2016年11月起于合肥工业大学计算机与信息学院从事教学与科研工作。承担电子信息工程专业《信号与系统》专业基础课的教学任务。近年来指导本科生完成省级和校级大创项目多项，指导本科生以第一作者发表论文1篇，指导本科生获得中国大学生计算机设计大赛国赛二等奖、三等奖，省赛一等奖多项。主要科研方向：1、多源异构数据协同下的精神状态分析与辅助诊断模型；2、基于卷积神经网络的深度图像预测和语义分割；3、时空超图学习：研究多源背景下复杂图像的时空统一表示与学习模型，并应用于婴幼儿脑部早期发育过程分析之中。研究成果在IEEE Transactions on Pattern Analysis and Machine Intelligence、IEEETransactions on Medical Imaging、Medical Image Analysis、MICCAI等期刊与会议发表论文三十余篇。目前主持国家自然科学基金面上项目一项，参与国家重点研发计划两项（均为子课题负责人），已结题国家自然科学基金青年项目一项，安徽省自然科学基金青年项目一项，指导硕士研究生6名、协助指导博士生3名。迄今指导（或协助指导）博士研究生近10名，硕士研究生20余名，硕士研究生毕业主要就业于知名互联网企业、汽车研发企业、集成电路企业和银行系统。

代表性论文：

(1) Zhiyuan Zhou, Jilong Liu, Sanwang Wang, Shijie Hao, Yanrong Guo*, Richang Hong*.  InterMind: Doctor-Patient-Family Interactive Depression Assessment Empowered by Large Language Model. ACM Multimedia, 2025

(2)  Zhiyuan Zhou, Yanrong Guo*, Shijie Hao, Richang Hong*. Multi-modal Depression Detection in Interview via Exploring Emotional Distribution Information. IEEE Transactions on Multimedia, online punlication, 2025.

(3)  Yanrong Guo, Youwei Guo, Bingxin Yang, Jingjing Wu, Shijie Hao, Richang Hong*. Sub-threshold Depression Detection with Text-guided Multimodal Learning. IEEE Transactions on Computational Social Systems, online punlication, 2025

(4)  Tao Chen, Yanrong Guo*, Shijie Hao, Richang Hong. Leaving None Behind: Data-Free Domain Incremental Learning for Major Depressive Disorder Detection. IEEE Transactions on Affective Computing,2025, 16(2): 758-770

(5)  Tao Chen, Yanrong Guo*, Shijie Hao, Richang Hong. Semi-Supervised Domain Adaptation for Major Depressive Disorder Detection. IEEE Transactions on Multimedia, 2024, 26: 3567-3579

(6) Yuan Zhou, Yanrong Guo*, Shijie Hao, Richang Hong, Jiebo Luo. Few-Shot Partial Multi-View Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence , 2023, 45:  11824-11841

(7)  Yuan Zhou, Yanrong Guo*, Shijie Hao, Richang Hong. Hierarchical Prototype Refinement with Progressive Inter-categorical Discrimination Maximization for Few-shot Learning, IEEE Transactions on Image Processing, 2022, 31: 3414-3429 

(8)  Tao Chen, Yanrong Guo*, Shijie Hao, Richang Hong. Exploring Self-attention Graph Pooling with EEG-based Topological Structure and Soft Label for Depression Detection, IEEE Transactions on Affective Computing, 2022, 13(4): 2106-2118

(9)  Yanrong Guo, Yaozong Gao, Dinggang Shen*. Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching., IEEE Transactions on Medical Imaging, 2016, 35(4):1077-1089

(10) Yanrong Guo, Guorong Wu, Jianguo Jiang, Dinggang Shen*. Robust anatomical correspondence detection by hierarchical sparse graph matching, IEEE Transactions on Medical Imaging, 2013, 32(2): 268-277