杨润涛


杨润涛

姓名:杨润涛

职称:讲师

学位:博士

毕业院校:山东大学

所学专业:控制工程与控制理论

研究方向

机器学习/模式识别、深度学习、生物信息学、智能机器人

教育经历

  • 山东大学:控制科学与工程学院控制理论与控制工程博士学位(硕博连读) 2011.9-2016.12

  • 山东大学(威海):机电与信息工程学院自动化工学学士学位2007.9-2011.7

开课情况

本科生课程:智能控制、误差理论与数据处理、人形机器人设计与制作、数学建模

研究生课程:神经网络与遗传算法、机器视觉
指导学生情况

本科生毕业设计:201810人,201910

本科生生产实习:2014级自动化,2016级自动化

本科生导师:2018级自动化6

指导学生连续两届参加山东省智能控制大赛,一等奖2项,二等奖2项,三等奖6项,并获优秀指导教师。

获奖情况

  • 2017IEEE International Conference on Information and Automation最佳会议论文奖

  • 2015年IEEE加拿大电子与计算工程大会最佳论文奖提名

  • 2013年第十届“华为杯”全国研究生数学建模竞赛二等奖(第一位)

  • 2012年第九届“华为杯”全国研究生数学建模竞赛二等奖(第一位)

科研项目

1. 中国博士后科学基金面上项目,2017M612270,基于机器学习的蛋白质相互作用及其作用位点预测研究,2017/03-2019/03,主持

2. 山东自然科学基金培养基金,ZR2017PF008,基于大数据挖掘技术的蛋白质亚细胞位置预测研究,2017/07-2018/12,主持

3. 企业横向,信安系统移动平台建设,2019/06-2020/03,主持

4. 国家自然科学基金面上项目,61573213,群机器人自组织行为涌现机理及其演化规律研究,2016/01-2019/12,参与

5. 国家自然科学基金面上项目,61473335,分子生物学代谢过程多模型建模及非线性分析,2015/01-2018/12,参与

发表文章

[1] Jingui Chen, Runtao Yang*, Chengjin Zhang, et al. DeepGly: A Deep Learning Framework with Recurrent and Convolutional Neural Networks to Identify Protein Glycation Sites from Imbalanced Data. IEEE Access, 2019, 7: 142368-142378.

[2] Runtao Yang, Chengjin Zhang*, Rui Gao, et al. Predicting FAD Interacting Residues with Feature Selection and Comprehensive Sequence Descriptors. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018.

[3] Runtao Yang, Chengjin Zhang*, Lina Zhang, et al. A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique. Biomed Research International, 2018, 2018(9364182): 1-10.

[4] Lina Zhang, Runtao Yang*, Chengjin Zhang, et al. Using a Classifier Fusion Strategy to Identify Antiangiogenic Peptides. Scientific Reports, 2018, 8: 14062.

[5] Runtao Yang, Chengjin Zhang*, Rui Gao, et al. A Novel Feature Extraction Method with Feature Selection to Identify Golgi-resident Protein Types from Imbalanced Data. International Journal of Molecular Sciences, 2016, 17(2): 218.

[6] Runtao Yang, Chengjin Zhang*, Rui Gao, et al. An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors. International Journal of Molecular Sciences, 2015, 16(9): 21191-21214.

[7] Runtao Yang, Chengjin Zhang*, Rui Gao*, et al. An Ensemble Method with Hybrid Features to Identify Extracellular Matrix Proteins. PLoS One, 2015, 10(2): e0117804.

[8] Runtao Yang, Chengjin Zhang*, Lina Zhang. PSSM-PROREP: A Flexible Web Server for Generating Various Position Specific Score Matrix-derived Protein Representations. IEEE International Conference on Information and Automation, 2018.

[9] Runtao Yang, Chengjin Zhang*, Rui Gao. A New Bionic Method Inspired by DNA Computation to Solve the Hamiltonian Path Problem. IEEE International Conference on Information and Automation, 2017.

[10] Runtao Yang, Rui Gao, Chengjin Zhang*. A New Algebraic Approach to Finding All Simple Paths and Cycles in Undirected Graphs. IEEE International Conference on Information and Automation, 2015.

[11] Runtao Yang, Chengjin Zhang*, Rui Gao, et al. A Machine Learning Approach to Identify DNA Replication Proteins From Sequence-derived Features. IEEE Canadian Conference on Electrical and Computer Engineering, 2015.

[12] Runtao Yang, Rui Gao*, Chengjin Zhang. A Mathematical Model and the Functional Relationship of Three-base Codons in the Complex Plane. Chinese Control Conference, 2012.

[13]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang. An Ensemble Method to Distinguish Bacteriophage Virion From Non-virion Proteins Based on Protein Sequence Characteristics, International Journal of Molecular Sciences, 2015, 16(9): 21734-21758.

[14]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang. JPPRED: Prediction of Types of J-proteins From Imbalanced Data Using an Ensemble Learning Method, BioMed Research International, 2015, 2015(2): 705156.

[15]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang. Using the SMOTE Technique and Hybrid Features to Predict the Types of Ion Channel-targeted Conotoxins, Journal of Theoretical Biology, 2016, 403: 75-84.

[16]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang, Prediction of Aptamer-protein Interacting Pairs Using an Ensemble Classifier in Combination with Various Protein Sequence Attributes, BMC Bioinformatics, 2016, 17(1): 225.

[17]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang, Sequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy, PLoS One, 2016, 11(9): e0163274.

[18]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang. Incorporating g-gap Dipeptide Composition and Position Specific Scoring Matrix for Identifying Antioxidant Proteins, The 28th Canadian Conference on Electrical and Computer Engineering, Halifax, Canada, 2015.5.3-5.6.

参与会议

(1) 2012.6.6-2012.6.8 参加IEEE InternationalConference on Automation and Logistics;

(2)2012.7.24-2012.7.26 参加第31届中国控制会议并做分会场报告,报告题目:A mathematical model andthe functional relationship of three-base codons in the complex plane;

(3)2013.8.26-2013.8.28 参加IEEE InternationalConference on Information and Automation;

(4) 2013.12.12-2013.12.14 参加IEEE InternationalConference on Robotics and Biomimetics;

(5) 2015.5.3-2015.5.6 赴加拿大参加IEEE 28th Canadian Conferenceon Electrical and Computer Engineering并做分会场报告,报告题目:A machine learning approach toidentify DNA replication proteins from sequence-derived features.

电子邮箱

runtao-sd@163.com


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