於东军教授
博士生导师



目前就职： 计算机科学与技术学院
导师类型/类别： 校内 博士生导师
个人主页： http://csbio.njust.edu.cn






10 访问




联系电话：
电子邮箱： njyudj@njust.edu.cn
邮编： 210094
工作单位： 南京理工大学计算机科学与工程学院
通讯地址： 江苏南京孝陵卫200号



个人信息
指导学科
社会、学会及学术
出版专著和教材
科研创新
教学活动
发表论文
指导学生情况
其他信息
获奖、荣誉称号


教育经历

工作经历


指导学科
学科专业(主)081104|模式识别与智能系统 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向 1.模式识别 2.机器学习 3.生物信息学 更多访问: http://csbio.njust.edu.cn
学科专业(辅)081203|计算机应用技术 招生类别 硕士 所在学院 计算机科学与工程学院
研究方向
学科专业(辅)083100|生物医学工程 招生类别 硕士 所在学院 计算机科学与工程学院
研究方向


社会、学会及学术兼职
中国计算机学会会员、IEEE Member、中国人工智能学会高级会员、中国人工智能学会生物信息学与人工生命专业委员会委员 、CCF生物信息学专业委员会委员。


出版专著和教材


科研创新

科研项目


教学活动


发表论文
Zhi-Sen Wei, Ke Han, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu*. Protein-Protein Interaction Sites Prediction by Ensembling SVM and Sample-weighted Random Forests [J]. Neurocomputing, 2016, 193: 201-212.Jun Hu, Yang Li, Wu-Xia Yan, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu*. KNN-based Dynamic Query-Driven Sample Rescaling Strategy for Class Imbalance Learning [J]. Neurocomputing, 2016, 191: 363–373. [DOI:10.1016/j.neucom.2016.01.043][server]
Jun Hu, Yang Li, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu*. GPCR-drug Interactions Prediction Using Random Forest with Drug-Association-Matrix-Based Post-Processing Procedure [J]. Computational Biology and Chemistry. 2016, 60: 59-71. [DOI: 10.1016/j.compbiolchem.2015.11.007][server]
Zi Liu, Xuan Xiao, Dong-Jun Yu, Jianhua Jia, Wang-Ren Qiu, Kuo-Chen Chou. pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physicalchemical properties [J]. Analytical Biochemistry. 2016, 497: 60-67 [DOI: 10.1016/j.ab.2015.12.017]
Guang-Hui Liu, Hong-Bin Shen, and Dong-Jun Yu*. Prediction of Protein-Protein Interaction Sites with Machine Learning based Data-Cleaning and Post-Filtering Procedures [J]. Journal of Membrane Biology. 2015 (To appear) [DOI: 10.1007/s00232-015-9856-z][Data and Codes]
Zhi-Sen Wei, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu*. A Cascade Random Forests Algorithm for Predicting Protein-Protein Interaction Sites [J]. IEEE Transactions on NanoBioscience. 2015, 14(7): 746-760. [DOI: 10.1109/TNB.2015.**][Data and Codes]
Xue He, Ke Han, Jun Hu, Hui Yan, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu*. TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition [J]. Journal of Membrane Biology.2015, 248(6): 1005-1014. [DOI: 10.1007/s00232-015-9811-z][server]
Dong-Jun Yu, Yang Li, Jun Hu, Xibei Yang, Jing-Yu Yang, and Hong-Bin Shen. Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression [J], IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015, 12(3): 611-621. [DOI: 10.1109/TCBB.2014.**][server]
Dong-Jun Yu, Jun Hu, Qian-Mu Li, Zhen-Min Tang, Jing-Yu Yang, and Hong-Bin Shen. Constructing Query-Driven Dynamic Machine Learning Model with Application to Protein-Ligand Binding Sites Prediction [J], IEEE Transactions on NanoBioscience. 2015, 14(1): 45-58. [DOI: 10.1109/TNB.2015.**][server]
Xibei Yang, Yong Qi, Dong-Jun Yu, Hualong Yu, Jing-Yu Yang. α-Dominance Relation and Rough Sets in Interval-valued Information System [J],Information Sciences. 2015, 294: 334-347. [DOI: 10.1016/j.ins.2014.10.003]
Jun Hu, Xue He, Dong-Jun Yu*, Xi-Bei Yang, Jing-Yu Yang, and Hong-Bin Shen. A New Supervised Over-Sampling Algorithm with Application to Protein-Nucleotide Binding Residues Prediction [J], PLoS ONE. 2014, 9(9): e107676. [DOI: 10.1371/journal.pone.**][server]
Dong-Jun Yu, Jun Hu, Hui Yan, Xi-Bei Yang, Jing-Yu Yang, and Hong-Bin Shen. Enhancing Protein-Vitamin Binding Residues Prediction by Multiple Heterogeneous Subspace SVMs Ensemble [J], BMC Bioinformatics. 2014, 15:297. [DOI: 10.1186/1471-2105-15-297] [server]
Dong-Jun Yu, Jun Hu, Jing Yang, Hong-Bin Shen, Jinhui Tang, and Jing-Yu Yang. Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2013, 10(4): 994-1008. [DOI: 10.1109/TCBB.2013.104][server]
Dong-Jun Yu, Jun Hu, Yan Huang, Hong-Bin Shen, Yong Qi, Zhen-Min Tang and Jing-Yu Yang. TargetATPsite: A Template-free Method for ATP Binding Sites Prediction with Residue Evolution Image Sparse Representation and Classifier Ensemble [J], Journal of Computational Chemistry. 2013, 34 (11):974-985. (Published as Inside Cover Story) [DOI: 10.1002/jcc.23219][server]
Dong-Jun Yu, Jun Hu, Xiao-Wei Wu, Hong-Bin Shen, Jun Chen, Zhen-Min Tang, Jian Yang, and Jing-Yu Yang. Learning Protein Multi-View Features in Complex Space [J], Amino Acids. 2013, 44(5):1365-1379. [DOI: 10.1007/s00726-013-1472-6][server]
Dong-Jun Yu, Jun Hu, Zhen-Min Tang, Hong-Bin Shen, Jian Yang, and Jing-Yu Yang. Improving Protein-ATP Binding Residues Prediction by Boosting SVMs with Random Under-Sampling [J]. Neurocomputing. 2013, 104: 180-190. [DOI: doi:10.1016/j.neucom.2012.10.012][server]
Dong-Jun Yu, Xiao-Wei Wu, Hong-Bin Shen, Jian Yang, Zhen-Min Tang, Yong Qi, and Jing-Yu Yang. Enhancing Membrane Protein Subcellular Localization Prediction by Parallel Fusion of Multi-View Features [J]. IEEE Transactions on NanoBioscience. 2012,11 (4):375-385. [DOI: 10.1109/TNB.2012.**][server]
Dong-Jun Yu, Hong-Bin Shen and Jing-Yu Yang. SOMPNN: An Efficient Non-Parametric Model for Predicting Transmembrane Helices [J]. Amino Acids. 2012, 42 (6):2195-2205. [DOI: 10.1007/s00726-011-0959-2][server]
Ya-Nan Zhang⁺, Dong-Jun Yu⁺, Shu-Sen Li, Yong-Xian Fan, Yan Huang, and Hong-Bin Shen. Predicting Protein-ATP Binding Sites from Primary Sequence through Fusing Bi-Profile Sampling of Multi-View Features [J]. BMC Bioinformatics, 2012, 13 (1): 118. [DOI: 10.1186/1471-2105-13-118]
Dong-Jun Yu, Hong-Bin Shen and Jing-Yu Yang. SOMRuler: A Novel Interpretable Transmembrane Helices Predictor [J]. IEEE Transactions on NanoBioscience. 2011,10 (2):121-129. [DOI: 10.1109/TNB.2011.**][server]
Xi-Bei Yang, Dong-Jun Yu, Jing-Yu Yang, Li-Hua Wei. Dominance-based Rough Set Approach to Incomplete Interval-valued Information System [J]. Data & Knowledge Engineering, 2009, 68 (11):1331-1347.
Xi-Bei Yang, Tsau Young Lin, Jing-Yu Yang, Yan Li, Dong-Jun Yu. Combination of interval-valued fuzzy set and soft set [J]. Computers & Mathematics with Applications, 2009, 58 (3):521-527.
Xi-Bei Yang, Dong-Jun Yu, Jing-Yu Yang, Xiao-Ning Song. Difference Relation-based Rough Set and Negative Rules in Incomplete Information System [J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009, 17 (5):649-665.
Xi-Bei Yang, Jing-Yu Yang, Chen Wu, Dong-Jun Yu. Dominance-based Rough Set Approach and Knowledge Reductions in Incomplete Ordered Information System [J]. Information Sciences, 2008, 178 (4):1219-1234.
Dong-Jun Yu, Hai-Tao Zhao, and Jing-Yu Yang. Face Recognition: An Approach Based on Feature Fusion and Neural Network [J], Acta Simulata Systematica Sinica, 2005, 17(5):1179-1182.
Yong Xu, Jing-Yu Yang, Jian-Feng Lu, Dong-Jun Yu. An Efficient Renovation on Kernel Fisher Discriminant Analysis and Face Recognition Experiments [J]. Pattern Recognition, 2004, 37 (10):2091-2094.
Dong-Jun Yu, Hai-Tao Zhao, and Jing-Yu Yang. A Fuzzy Neural Model for Face Recognition [J]. Acta Simulata Systematica Sinica, 2003, 15(2): 257-261.
Shi-Tong Wang, Dong-Jun Yu, Jing-Yu Yang. Integrating Rough Set Theory and Fuzzy Neural Network to Discover Fuzzy Rules [J]. Intelligent Data Analysis, 2003, 7(1): 59-73.
Zhi-Sen Wei, Jing-Yu Yang, and Dong-Jun Yu*. Predicting Protein-Protein Interactions with Weighted PSSM Histogram and Random Forests [C]. 2015 Sino-foreign-interchange Workshop on Intelligence Science and Big Data Engineering (IScIDE 2015). LNCS, Volume 9242, pp. 326-335. Springer, Heidelberg .
Dong-Jun Yu, Jun Hu, Jian-Hua Xie, Yong Qi, and Zhen-Min Tang. Supervised Kernel Self-Organizing Map [C]. 2012 Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering (IScIDE 2012).Lecture Notes in Computer Science (LNCS), Volume 7751, pp. 246-253. Springer, Heidelberg (2013).
Dong-Jun Yu, Xiao-Wei Wu, and Wei-Wei Yang. Gender Determination from Single Facial Image by Utilizing Surface Shape Information [C]. Communications in Computer and Information Science, Vol. 288:696-705. Springer, Heidelberg, 2012.
Dong-Jun Yu, E. R. Hancock, W. A. P. Smith. A Riemannian Self-organizing Map [C]. The 15th International Conference on Image Analysis and Processing, Springer Verlag, Lecture Notes in Computer Science (LNCS), Volume 5716: 229-238, 2009.
Dong-Jun Yu, Jian-Feng Lu, Jing-Yu Yang. Geodesic Discriminant Analysis on Curved Riemannian Manifold [C]. The Sixth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), IEEE Computer Society, vol. 5: 379-383, 2009.
Dong-Jun Yu, E. R. Hancock, W. A. P. Smith. Learning a Self-Organizing Map Model on a Riemannian Manifold [C]. Proceeding of Thirteenth IMA Conference on the Mathematics of Surfaces, Springer Verlag, Lecture Notes in Computer Science (LNCS), Volume 5654: 375-390, 2009.
Dong-Jun Yu, Xiao-Jun Wu, Jing-Yu Yang. Quantitative Measurement for Fuzzy System to Input and Rule Perturbations [C], Lecture Notes in Computer Science (LNCS), Volume 4114: pp 159-164, 2006.
Dong-Jun Yu, Yong-Hong Xu, Xiao-Jun Wu, and Jing-Yu Yang. Statistical Quantitative Sensitivity Measurement for Fuzzy System [C], Acta Simulata Systematica Sinica, 2006, 18(9): 2433-2437.
Dong-Jun Yu, Yong Qi, Yong-Hong Xu, Jing-Yu Yang. Kernel-SOM Based Visualization of Financial Time Series Forecasting [C]. International Conference on Innovative Computing, Information and Control (ICIC), Beijing, China, 2006, pp: 470-473.
於东军, 吴小俊, E. R. Hancock, 杨静宇. 广义SOM及其在人脸性别识别中的应用[J]. 计算机学报. 2011, 34(9):1719-1725.
於东军, 郑宇杰, 吴小俊, 杨静宇. 基于Kernel-SOM的非线性系统辨识及模型运行收敛性分析[J]. 电子与信息学报. 2008, 30(8): 1928-1931.
郑宇杰, 杨静宇, 徐勇, 於东军. 一种基于Fisher鉴别极小准则的特征提取方法[J]. 计算机研究与发展, 2006, 43(7): 1201-1206.
郑宇杰, 杨静宇, 吴小俊, 於东军. 基于对称 ICA 的特征抽取方法及其在人脸识别中的应用[J]. 模式识别与人工智能, 2006, 19(1): 116-121.
於东军, 王士同, 杨静宇. 一种增量式规则提取算法[J]. 小型微型计算机系统. 2004, 25(1): 79-81.
於东军, 徐蔚鸿, 赵海涛, 杨静宇. 基于神经网络的人脸自动识别[J]. 电子与信息学报. 2003, 25(9): 1160-1167.
赵海涛, 於东军, 金忠, 杨静宇. 基于形状和纹理的人脸自动识别[J]. 计算机研究与发展, 2003, 43(1): 538-543.
王士同, 於东军. 非线性系统的模糊辨识误差分析(英文)[J]. 软件学报. 2000, 11(4): 447-452.
於东军, 王士同. B样条神经网络的构造理论[J]. 计算机研究与发展. 1999, 36(5): 534-540.
於东军, 王士同. 层次径向基神经网络的全局逼近理论[J]. 计算机研究与发展. 1999, 36(11): 1329-1334.



指导学生情况


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获奖、荣誉称号