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(IDEA LAB)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 TPAMI、TIP、TAFFC、ACM TKDD、Medical Image Analysis、ACM Multimedia、AAAI、MICCAI等期刊与会议发表论文三十余篇。目前在研或完成国家自然科学基金面上项目、青年项目、国家重点研发计划子课题等多项科研项目，指导硕士研究生6名、协助指导博士生3名。指导（或协助指导）博士研究生近10名，硕士研究生20余名，毕业学生主要就业于知名互联网企业（淘天、京东等）、汽车研发企业（华为车BU等）、集成电路企业（长鑫等），或赴海外知名高校（NTU、UMich）开展科研深造。

代表性论文：

(1)  Yufei Shang, Yanrong Guo*, Shijie Hao, Richang Hong. Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier. ACM Transactions on Knowledge Discovery from Data, 2026.

(2)  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, 2026

(3) Zhiyuan Zhou, Yanrong Guo*, Shijie Hao*. Voices,Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for MentalHealth Understanding. In: Proceedings of AAAI, 2026

(4) 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

(5)  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

(6)  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

(7) 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

(8)  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 

(9)  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

(10)  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

(11) 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

(12) Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen.* Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. MICCAI, 2014

(13) Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen*. Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. MICCAI, 2015