张烨菲

  张烨菲，浙江诸暨人，工学博士，杭州电子科技大学特聘副教授，硕士生导师，省青托人才。长期从事人工智能技术在信息安全与医疗健康等领域的研究与应用，具体包括：生物特征识别、计算机辅助医疗、医学信号处理等方向的深度学习、多模态学习、数据建模与挖掘等研究，属当前医学人工智能的学术前沿。

  作为项目负责人主持国家自然科学基金青年基金项目 1项、浙江省自然科学基金青年基金项目 1项；入选浙江省科协青年人才托举工程；作为科研骨干参与国家自然科学基金委项目、浙江省自然科学基金委项目、浙江省重点研发计划等多项课题。在国内外权威学术期刊和会议发表SCI/EI论文30余篇，其中以第一作者和通讯作者身份发表SCI论文10余篇，包含IEEE JBHI/TCE/TCSS、NN、EAAI、IOT、INS等SCI一区和Top期刊论文多篇，获CSDP2026最佳论文奖；授权中国发明专利10余项。担任杭州市人工智能学会智慧医疗专业委员会委员、IEEE CSDP等多个国际会议专题主席。在学科竞赛中获省级及以上奖项10余项，包括中国研究生电子设计竞赛全国一等奖 1项、中国数学建模竞赛全国二等奖 2项、美国大学生数学建模竞赛（MCM/ICM）国际二等奖1项，以及浙江省、华东赛区等省级奖项 9项。指导研究生参加2023-2026年度中国研究生网络安全创新大赛、中国研究生电子设计竞赛，获省级及以上奖项7项，包括全国三等奖2项、省级奖项5项，获省级优秀指导老师1项。

欢迎对以下方向感兴趣的研究生/本科生同学加入：医学人工智能、脑机接口、多模态学习、智能生物识别、计算机辅助医疗

希望你具备： 一定的算法基础和编程能力、能沟通 不抱怨 懂合作

2023.04 -- 至今  杭州电子科技大学网络空间安全学院 特聘副教授

国际学术期刊/会议审稿人（Reviewer）

IEEE Journal of Biomedical and Health Informatics (JBHI)

IEEE Internet of Things Journal (IoT)

Engineering Applications of Artificial Intelligence (EAAI)

Artificial Intelligence In Medicine (AIIM)

IEEE Transactions on Biomedical Engineering (TBME)

Computer Methods and Programs in Biomedicine (CMPB)

Computers in Biology and Medicine (CIBM)

Biomedical Signal Processing and Control (BSPC)

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

国际会议程序委员会委员 (PC member)

IEEE International Conference on Bioinformatics and Biomedicine 2026 (BIBM 2026) 

IEEE International Conference on Bioinformatics and Biomedicine 2025 (BIBM 2025) 

IEEE International Conference on Bioinformatics and Biomedicine 2024 (BIBM 2024) 

Google Scholar: https://scholar.google.com/citations?user=Qsh0JKkAAAAJ&hl=zh-CN&oi=ao

2022年-至今部分成果：

2026年

1. Zhang Y, Hu J, Jiao P, et al. An Adaptive Masking-Guided Conditional Diffusion Model for Multi-scenario FHR Time Series in the Internet of Medical Things[J]. IEEE Internet of Things Journal, 2026. (一区Top)

2. Zhang Y, Hu J, Jiao P, et al. MEDiT: A Mask-Enhanced Diffusion Transformer Model for Fetal Heart Rate Signal Generation[J].  Neural Network, 2026. (一区Top)

3. Zhang Y, Deng Y, Yuan Y, et al. Expert consensus-driven spatial-temporal graph neural network for enhanced diagnosis of chronic fetal distress[J]. Engineering Applications of Artificial Intelligence, 2026. (一区Top)

4. Dong M, Zhao Z, Zhang Y, et al. Open-set electrocardiogram identity authentication via multi-modal pretraining and structured representation learning[J]. Engineering Applications of Artificial Intelligence, 2026. (一区Top) 

5. Jiao P, Zhang W, Guo X, Liu H, Bi Y, Zhang Y, Zhao Z. Unified Network Embedding via Mutual Fusion of Communities and Roles [J]. IEEE Transactions on Computational Social Systems, 2026.

6. Zhang Y, et al. Robust MRAF-Net: A Secure ECG Biometric Authentication Framework with Adversarial Defense[C]. CSDP2026. (最佳论文奖)

2025年

1. Ruan B, Zhao Z, Zhang Y* (通讯作者), et al. HeartID: A Deep Learning Model for Biometrics Using Multimodal ECG and PPG Signals [C]. 2025 IEEE International Conference on Communications (ICC), 2025.   (CCF C类)

2. 张玲，赵治栋，张烨菲，焦鹏飞，等. 基于图-文自适应加权融合的多模态胎儿辅助诊断系统[J]. 中国生物医学工程学报，2025.  (中文Top)

3. Deng Y, Zhang Y, Wang H, et al. A time-series progressive generative adversarial network for improving imbalanced fetal heart rate signal classification[J]. Applied Intelligence, 2025.

4. Jia H, Zhao Z, Zhang Y, Zhang X, et al. CTFN: Multistage CNN-Transformer Fusion Network for ECG Authentication [J]. IET Biometrics, 2025.

5. Dong M, Zhao Z, Zhang Y, Deng Y, et al. Simple yet Effective ECG Identity Authentication With Low EER and Without Retraining[J]. IET Biometrics, 2025.

2024年

1. Zhou Z, Zhao Z, Zhang Y, Deng Y, et al. Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation[J]. IEEE Transactions on Consumer Electronics, 2024. 

2. Dong M, Zhao Z, Zhang Y, Deng Y, et al. Simple yet Effective ECG Identity Authentication with Low EER and without Retraining[C]. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024.  (CCF B类, 生物信息学领域顶级旗舰会议)

3. Zhao Z, Zhu J, Jiao P, Wang J, Zhang X, Lu X, Zhang Y. Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis[J]. BMC Medical Informatics and Decision Making, 2024

2023年

1. Zhang Y, Deng Y, Zhang X, et al. DT-CTNet: A clinically interpretable diagnosis model for fetal distress [J]. Biomedical Signal Processing and Control, 2023.

2. Deng Y, Zhang Y, et al. A lightweight fetal distress-assisted diagnosis model based on a cross-channel interactive attention mechanism[J]. Frontiers in Physiology, 2023. (二区Top)

2022年

1. Zhang Y, Zhao Z, Deng Y, et al. Reconstruction of missing samples in antepartum and intrapartum FHR measurements via mini-batch-based minimized sparse dictionary learning [J]. IEEE Journal of Biomedical and Health Informatics, 2022.  (一区Top)

2. Zhang Y, Zhao Z, Deng Y, Zhang X. FHRGAN: Generative Adversarial Networks for Synthetic Fetal Heart Rate Signal Generation in Low-Resource Settings [J]. Information Sciences, 2022.  (一区Top)

3. Zhang Y, Deng Y, Zhou Z, Zhang X, Jiao P, Zhao Z. Multimodal Learning for Fetal Distress Diagnosis using a Multimodal Medical Information Fusion Framework[J]. Frontiers in Physiology, 2022.  (二区Top)