性别：男
出生年月：1986.11
最高学历、学位：博士研究生
职 称：特聘副研究员
职务：科研人员
电子邮箱：wuxi_dyj@163.com
一、基本情况
2018年6月毕业于天津大学计算机科学与技术学院，获博士学位。2018年7月至2021年6月在苏州科技大学，电子与信息工程学院任讲师。2021年7月至今，在电子科技大学，长三角研究院（衢州）任专职科研人员。个人主页：http://lab.malab.cn/~dyj/
二、主要研究领域及学术成就
主要研究方向为生物信息学与机器学习。以第一或通讯作者身份，在IEEE/ACM TCBB, IEEE TFS, IEEE TAI, IEEE JBHI, Neural Networks, Briefings in Bioinformatics, Information Sciences, Knowledge-Based Systems, Frontiers of Computer Science，Applied Soft Computing，Neurocomputing等期刊和IEEE BIBM会议发表40余篇论文。主持了国家自然科学基金项目（面上和青年），国家自然科学基金联合项目子课题，浙江省自然科学基金项目，江苏省高校自然科学研究项目，衢州市科技局项目。
三、代表性教科研成果
[1]Yijie Ding; Jijun Tang; Fei Guo; Quan Zou, Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization,Briefings in Bioinformatics: 2022, DOI: 10.1093/bib/bbab582.
[2]Yijie Ding; Prayag Tiwari; Fei Guo; Quan Zou, Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization,Neural Networks: 2022, DOI: 10.1016/j.neunet.2022.09.026.
[3]Yijie Ding; Prayag Tiwari; Quan Zou; Fei Guo; Hari Mohan Pandey, C-loss based Higher-order Fuzzy Inference Systems for Identifying DNA N4-methylcytosine Sites,IEEE Transactions on Fuzzy Systems: 2022, DOI: 10.1109/TFUZZ.2022.3159103.
[4]Yijie Ding; Wenying He; Jijun Tang; Quan Zou; Fei Guo, Laplacian Regularized Sparse Representation based Classifier for Identifying DNA N4-methylcytosine Sites via L2,1/2-matrix Norm,IEEE/ACM Transactions on Computational Biology and Bioinformatics: 2021, DOI: 10.1109/TCBB.2021.3133309.
[5]Yijie Ding; Jijun Tang; Fei Guo. Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation,Applied Soft Computing, 2020, doi: 10.1016/j.asoc.2020.106596.
[6]Yijie Ding, Jijun Tang, Fei Guo, Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion,Knowledge-Based Systems, 2020, 204:106254.
[7]Yijie Ding; Jijun Tang; Fei Guo. Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation.IEEE/ACM Transactions on Computational Biology and Bioinformatics: 2019, DOI: 10.1109/TCBB.2019.2954826.
[8]Yijie Ding; Jijun Tang; Fei Guo. Identification of Drug-side Effect Association via Semi-supervised Model and Multiple Kernel Learning.IEEE Journal of Biomedical and Health Informatics: 2019, 23(6), 2619-2632.
[9]Yijie Ding; Jijun Tang; Fei Guo. Identification of drug-target interactions via multiple information integration.Information Sciences: 2017 ,418 ,546-560.
奖项：
1.天津市人民政府，自然科学二等奖(排名第4)，2021.
2.中国发明协会，发明创新奖一等奖(排名第2)，2022.
3.浙江省生物信息学学会，自然科学二等奖(排名第1)，2022.
4.苏州市人工智能学会，自然科学二等奖(排名第6)，2020.
