职务职称：

讲师

所属系部：

科学系

研究方向：

机器学习、情感计算

联系电话：

电子邮箱：

heww@ujs.edu.cn

个人简介

何文文，女，河南商丘人，工学博士。2021年12月博士毕业于电子科技大学计算机科学与工程学院，2022年6月进入江苏大学计算机科学与通信工程学院工作。

从事机器学习、迁移学习、情感计算等领域的研究。近年来在IEEE Journal of Biomedical and Health Informatics 、IEEE Sensors Journal、IEEE Engineering in Medicine and Biology Society等国际期刊和会议上发表论文10余篇。

教研成果

主要论文：

1. Zhang Yi, He Wenwen, Liu Z, et al. Subdomain adaptive feature enhancement via confidence-adjudicated dual-decision pseudo-labeling for cross-subject and cross-session EEG emotion recognition[J]. Multimedia Systems, 2026, 32(3): 203.

2. He Wenwen, Zhang Yi, Liu Z, et al. Unsupervised subdomain adaptation framework guided by pseudo label for cross-subject and cross-session EEG emotion recognition: W. He et al[J]. Multimedia Systems, 2025, 31(5): 319.

3. He Wenwen, Ye Y, Lu L, et al. Robust Heart Rate Monitoring for Quasi-Periodic Motions by Wrist-Type PPG Signals[J]. IEEE journal of biomedical and health informatics, 2020.

4. He Wenwen et al. Online Cross-subject Emotion Recognition from ECG via Unsupervised Domain Adaptation[C]. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2021.

5. He Wenwen, Ye Y, et al. Variational Mode Decomposition-Based Heart Rate Estimation Using Wrist-Type Photoplethysmography During Physical Exercise[C]. 2018 24th International Conference on Pattern Recognition(ICPR). IEEE, 2018: 3766-3771.

6. He Wenwen, Ye Yalan et al. Emotion Recognition from ECG Signals Contaminated by Motion Artifacts[C]. 2021 International Conference on Intelligent Technology and Embedded Systems(ICITES).

7. Ye Yalan, Cheng Yunfei, He Wenwen, et al. Combining nonlinear adaptive filtering and signal decomposition for motion artifact removal in wearable photoplethysmography [J]. IEEE Sensors Journal, 2016.

主要专利

1. 何文文；张艺等. 一种基于子域自适应的跨被试与跨时期脑电情感识别模型, 2025-1-9, 中国

2. 叶娅兰; 潘桐杰; 鲁力; 何文文. 面向可穿戴设备的超图特征融合和集成学习的人体行为识别方法, 2022-3-15, 中国