职  称:讲师
研究方向:大数据分析、推荐系统、机器学习
办公电话:15943006836
办公地点:计算机学院二楼
电子邮件:zhaoxw303@nenu.edu.cn

个人简历

2010/09-2013/07,东北师范大学,计算机科学与信息技术学院,博士 2013/07-2015/07,东北师范大学,数学与统计学院,统计学,博士后 2013/07-至今,东北师范大学,计算机科学与信息技术学院,讲师 研究方向:大数据分析,推荐系统,机器学习 项目情况: 1. 中国博士后基金第八批特别资助,2015T80285,蛋白质翻译后修饰特异性预测的特征抽取及学习算法研究,15万元,主持 2. 中国博士后基金面上项目一等资助,2014M550166,蛋白质翻译后修饰位点预测的特征抽取和学习算法研究,8万元,主持 3. 国家自然科学基金青年项目,61403077,蛋白质翻译后修饰位点物种特异性预测的特征抽取和学习算法研究,25万元,主持 4. 国家自然科学基金青年项目,61402098,人类膜蛋白交互组网络构建,26万,参加 5. 吉林省自然科学青年基金,20150520061JH、蛋白质相互作用热点残基及热区识别算法研究,6万元,主持 论文情况: (1)Qiao Ning, Xiaosa Zhao, Lingling Bao, Jinchao Ji, Zhiqiang Ma, Xiaowei Zhao*.Detecting Succinylation sites from protein sequences using ensemble support vector machine.BMC Bioinformatics, 2018,SCI检索. (2) Xiaosa Zhao, Lingling Bao, Qiao Ning, Jinchao Ji, Xiaowei Zhao*. An Improved Binary Differential Evolution Algorithm for Feature Selection in Molecular Signatures. Molecular Informatics, 2018.SCI检索. (3) Xiaowei Zhao, Lingling Bao, Xiaosa Zhao, Minghao Yin*. PPIs Meta: A Meta-predictor of Protein-Protein Interaction Sites with Weighted Voting Strategy, Current Proteomics, 2017, 14(999):1-1.SCI检索. (4) Xiaowei Zhao, Xiaosa Zhao, Lingling Bao, Yonggang Zhang, Jiangyan Dai, Minghao Yin*. Glypre: In Silico Prediction of Protein Glycation Sites by Fusing Multiple Features and Support Vector Machine. Molecules, 2017, 22(11):1891.SCI检索. (5) Fei He, Lingling Bao, Rui Wang, Jiagen Li, Dong Xu and Xiaowei Zhao*, A multimodal deep architecture for large-scale protein ubiquitylation site prediction. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, USA, 2017, 108-113.SCI检索. (6) Xiaowei Zhao*, Qiao Ning, Meiyue Ai, Haiting Chai, Guifu Yang. Identification of S-glutathionylation sites in species-specific proteins by incorporating five sequence-derived features into the general pseudo-amino acid composition, Journal of Theoretical Biology, 2016, 398: 96-102.SCI检索. (7) Xiaowei Zhao*, Qiao Ning, Haiting Chai, Meiyue Ai, Zhiqiang Ma*. PGlcS: Prediction of protein O-GlcNAcylation sites with multiple features and analysis, Journal of Theoretical Biology, 2015, 380: 524-529.SCI检索. (8) Xiaowei Zhao*, Qiao Ning, Haiting Chai, Zhiqiang Ma*. Accurate in silico identification of protein succinylation sites using an iterative semi-supervised learning technique, Journal of Theoretical Biology, 2015, 374: 60-65.SCI检索. (9) Xiaowei Zhao*, Qiao Ning, Meiyu Ai, Haiting Chai, Minghao Yin. PGlus: prediction of protein S-glutathionylation sites with multiple features and analysis, Molecular BioSystems, 2015, 11: 923-929.SCI检索. (10) Xiaowei Zhao, Jianyan Dai, Qiao Ning, Zhiqiang Ma*, Minghao Yin, Pingping Sun. Position-Specific Analysis and prediction of protein pupylation sites based on multiple features, BioMed Research International, 2013, 16(5): 63-71.SCI检索. (11) Xiaowei Zhao, Jian Zhang, Qiao Ning, Zhiqiang Ma*, Minghao Yin*. Identification of protein pupylation sites using Bi-Profile Bayes feature extraction and ensemble learning, Mathematical Problems in Engineering, 2013, 5(10): 12-19.SCI检索. (12) Jian Zhang, Xiaowei Zhao*, Pingping Sun, Bo Gao, Zhiqiang Ma*. Conformational B-Cell Epitopes Prediction from Sequences Using Cost-Sensitive Ensemble Classifiers and Spatial Clustering, BioMed Research International, 2014, 689219: 1-12.SCI检索. (13) Xiaowei Zhao, Jianyan Dai, Qiao Ning, Zhiqiang Ma*, Minghao Yin, Pingping Sun. Position-Specific Analysis and prediction of protein pupylation sites based on multiple features, BioMed Research International, 2013, 16(5): 63-71.SCI检索. (14) Xiaowei Zhao, Jian Zhang, Qiao Ning, Zhiqiang Ma*, Minghao Yin*. Identification of protein pupylation sites using Bi-Profile Bayes feature extraction and ensemble learning, Mathematical Problems in Engineering, 2013, 5(10): 12-19.SCI检索. (15) Xiaowei Zhao, Wenyi Zhang, Xin Xu, Zhiqiang Ma*, Minghao Yin*. Prediction of protein phosphorylation sites by using the composition of k-spaced amino acid pairs, PLoS ONE, 2012, 7(10): e46032.SCI检索. (16) Xiaowei Zhao, Zhiqiang Ma*, Minghao Yin*. Using support vector machine and evolutionary profiles to predict antifreeze protein sequences, International Journal of Molecular Sciences, 2012, 13: 2196-2207.SCI检索. (17) Xiaowei Zhao, Zhiqiang Ma*, Minghao Yin*. Predicting protein-protein interactions by combing various sequence-derived features into the general form of Chou’s Pseudo amino acid composition, Protein and Peptide Letters, 2012, 19: 492-500.SCI检索. (18) Xiaowei Zhao, Jiakui Li, Yanxin Huang*, Zhiqiang Ma*, Minghao Yin*. Prediction of bioluminescent proteins using auto covariance transformation of evolutional profiles, International Journal of Molecular Sciences, 2012, 13: 3650-3660.SCI检索. (19) Xiaowei Zhao, Xiangtao Li, Zhiqiang Ma*, Minghao Yin*. Identify DNA-binding proteins with optimal Chou’s amino acid composition, Protein and Peptide Letters, 2012, 19: 398-405.SCI检索. (20) Jian Zhang, Xiaowei Zhao*, Pingping Sun, Bo Gao, Zhiqiang Ma*. Conformational B-Cell Epitopes Prediction from Sequences Using Cost-Sensitive Ensemble Classifiers and Spatial Clustering, BioMed Research International, 2014, 689219: 1-12.SCI检索.

社会兼职

获奖情况

  • 2013年获得吉林省自然科学学术成果一等奖。

教学信息 (数据来源:教务处)

  • 离散数学
  • 信息技术2(网络应用基础)

科研信息 (数据来源:科学技术处、社会科学处)

  • 项目:
  • 1. 蛋白质翻译后修饰位点预测的特征抽取和学习算法研究,2019年
  • 2. 蛋白质翻译后修饰特异性预测的特征抽取和学习算法研究,2019年
  • 论文:
  • 1. Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning,ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,2021年
  • 2. Clustering Mixed Numeric and Categorical Data With Cuckoo Search,IEEE ACCESS,2020年
  • 3. Protein Ubiquitylation and Sumoylation Site Prediction Based on Ensemble and Transfer Learning,2019 IEEE International Conference on Bioinformatics and Biomedicine(BIBM),2019年
  • 4. Analysis and prediction of human acetylation using a cascade classifier based on support vector machine,BMC BIOINFORMATICS,2019年
  • 5. A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data,24th International Conference on Database Systems for Advanced Applications, DASFAA 2019,2019年
  • 6. dForml(KNN)-PseAAC: Detecting formylation sites from protein sequences using K-nearest neighbor algorithm via Chou's 5-step rule and pseudo components,J THEOR BIOL,2019年
  • 7. Clustering mixed numeric and categorical data with artificial bee colony strategy,J INTELL FUZZY SYST,2019年
  • 8. Identifying N6 -methyladenosine sites using extreme gradient boosting system optimized by particle swarm optimizer,J THEOR BIOL,2019年
  • 9. Large-scale prediction of protein ubiquitination sites using a multimodal deep architecture,BMC SYSTEMS BIOLOGY,2018年
  • 10. General and Species-Specific Lysine Acetylation Site Prediction Using a Bi-Modal Deep Architecture,IEEE ACCESS,2018年
  • 11. Detecting Succinylation sites from protein sequences using ensemble support vector machine,BMC BIOINFORMATICS,2018年
  • 12. An Improved Binary Differential Evolution Algorithm for Feature Selection in Molecular Signatures,Molecular Informatics,2018年
  • 13. 基于模糊质心的混合属性数据模糊加权聚类算法,计算机科学,2018年
  • 14. A Multimodal Deep Architecture for Large-Scale Protein Ubiquitylation Site Prediction,2017 IEEE International Conference on Bioinformatics and Biomedicine(BIBM),2017年
  • 15. Glypre: In Silico Prediction of Protein Glycation Sites by Fusing Multiple Features and Support Vector Machine,MOLECULES,2017年
  • 16. EPuL: An Enhanced Positive-Unlabeled Learning Algorithm for the Prediction of Pupylation Sites,MOLECULES,2017年
  • 17. PPIs Meta: A Meta-predictor of Protein-Protein Interaction Sites with Weighted Voting Strategy,CURRENT PROTEOMICS,2017年
  • 18. Identification of S-glutathionylation sites in species-specific proteins by incorporating five sequence-derived features into the general pseudo-amino acid composition,J THEOR BIOL,2016年
  • 19. Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme,BIODATA MINING,2015年

其它信息

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