开云体育中国区官网-官方入口

性别

女

出生年月

1991.3

最高学历、学位

工学博士

职称

中级

职务

计算机工程系副主任

电子邮箱

[email protected]

个人简介

一、基本情况：

陈静，博士，于北京理工大学获工学学士学位，2022年获中国科学技术大学生物医学工程专业博士学位。江苏省双创人才、江苏省科技副总、苏州市科协青年科技人才托举工程、开云体育(中国区)-官方网站 计算机工程系副主任/硕士生导师。

二、主要研究领域及学术成就：

主要从事人工智能、数据挖掘、生物信息学方面的研究工作。目前主持国家自然科学基金青年基金、江苏省教育厅科技计划项目（自然科学）、横向课题等项目。近三年以第一作者或通讯作者在lEEE Journal of Biomedical and Health Informatics、Briefings In Bioinformatics等国际期刊上发表论文10余篇。

三、代表性科研成果：

1、Chen J, Zhang L, et al. DRL-HNet: A Deep Residual Learning Framework for Microbe-Drug Associations Prediction Using Heterogeneous Network Feature. IEEE Journal of Biomedical and Health Informatics , 2025,10.1109/JBHI.2025.3582835.

2、Chen J,Zhang L, et al. HGBHAN: A Novel Framework for Microbe-Drug Interaction Prediction Using Heterogeneous Graphs and Bi-LSTM With Hierarchical Attention. IEEE Journal of Biomedical and Health Informatics , 2025,10.1109/JBHI.2025.3614299.

3、Chen J,Zhang L, et al. Utilizing Dual-Channel Graph and Hypergraph Convolution Network to Discover Microbes Underlying Disease Traits. Journal of Chemical Information and Modeling , 2025,65,5152-5162.

4、Tao R, Lu W, Wu H,Chen J*. AttMVGraph: Attention-Based Multimodal Fusion and Variational Graph Learning for SM–miRNA Association Prediction[J]. Journal of Chemical Information and Modeling, 2025, 65(24): 13386-13399.

5、Chen J,Tao R, et al. CMFHMDA: a prediction framework for human disease-microbe associations based on cross-domain matrix factorization. Briefings in Bioinformatics, 2024,25(6)bbae481.

6、Chen J, Zhu Y, et al. Predicting potential microbe–disease associations based on dual branch graph convolutional network. Journal of Cellular and Molecular Medicine, 2024,28:18571.

7、Liu W, Teng Z, Li Z,Chen J*. CVGAE: A Self‑Supervised Generative Method for Gene Regulatory Network Inference Using Single‑Cell RNA Sequencing Data. Interdisciplinary Sciences: Computational Life Science, 2024,16:990-1004.