济南大学研究生招生信息

081200|计算机科学与技术专业硕士研究生指导教师

姓名 周劲 性别
民族汉族出生年月
学历|学位研究生|博士专业技术职务 教授
行政职务
联系电话17705315838移动电话
邮箱ise_zhouj@ujn.edu.cn
通讯地址 | 邮编济南大学信息科学与工程学院 | 250022
招生方向(领域) 02智能计算与科学建模
研究领域、学习工作经历、学术兼职等情况

博士,教授。2015-2018年国际自动控制联合会IFAC TC9.1秘书长,IEEE会员,ACM会员,CCF会员,CAAI会员,2017-2019年任济南大学信息学院副院长。主要研究方向为机器学习、分布式数据挖掘、无线传感器网络、图像分割等;在《IEEE Transactions on Fuzzy Systems》、《IEEE Transactions on Neural Networks and Learning Systems》《IEEE Transactions on Intelligent Transportation Systems》、《Neurocomputing》、IEEE SMC等国际学术期刊和国际学术会议发表或录用论文30余篇;主持及承担国家自然科学基金、山东省自然科学基金、山东省重点研发等科研项目10项;获山东省科技进步奖三等奖1项,山东省计算机应用优秀成果奖一等奖1项,济南计算机科学技术一等奖1项,澳门特别行政区研究生科技研发奖1项,山东高等学校优秀科研成果奖二等奖1项,山东高等学校科学技术二等奖1项。


教育经历(按时间倒序排序):
2010/09 - 2014/02,澳门大学,软件工程,博士,导师:陈俊龙
1998/09 - 2001/07,山东大学,软件与理论,硕士,导师:王海洋
1994/09 - 1998/07,山东大学,计算机科学与技术,学士

 
代表性科研成果及奖励:
(包括项目、鉴定、论文、专著、专利等)

科研项目:

1. 国家自然科学基金面上项目,61873324,面向复杂数据的分布式协同聚类算法研究,2019/01-2022/1266万元,主持。

2. 国家自然科学基金面上项目,61640218,基于点对点网络架构的分布式协同数据聚类的关键技术研究,2017/01-2017/1216万元,主持。

3. 山东省自然科学基金面上项目,ZR2019MF040,分布式协同聚类算法研究及其在复杂网络数据处理中的应用,2019/07-2022/0615万元,主持。

4. 山东省重点研发计划项目,2018GGX101048,基于模糊聚类的脑磁共振图像分割及人机交互辅助诊疗系统研发,2018/01-2019/1220万元,主持。

5. 山东省高等学校科技计划项目,J16LN07,点对点分布式协同聚类算法的应用研究,2017/01-2019/125.5万元,主持。

6. 国家自然科学基金面上项目,61573166,真实图像引导的水泥水化微结构三维演化反向智能建模与性能评估,2016/01-2019/1264万元,参与。

7. 国家自然科学基金面上项目,61070130,基于比较基因组学和计算智能的禾本科牧草功能基因的发掘和表达调控研究,2011/01-2013/1237万元,参与。

8. 山东省自然科学基金面上项目,ZR2010FL006,基于集成神经网络和多信息融合的人脸识别技术研究,2010/12-2013/124.5万元,参与。

9. 山东省自然科学基金面上项目,ZR2010FQ020,基于复杂网络的非线性时间序列预测方法研究,2010/11-2013/114万元,参与。

10. 山东省高等学校科技计划项目,J12LN18,基于无线传感器网络的免锚点物理定位技术研究,2012/01-2014/126万元,参与。

科研论文:

[1] Yingxu Wang, Jiwen Dong, Jin Zhou*, Guangmei Xu, Yuehui Chen, “Random Feature Map-Based Multiple Kernel Fuzzy Clustering with All Feature Weights,” International Journal of Fuzzy Systems, vol.21, no.7, pp.2132-2146, Oct. 2019. (SCI, IF: 2.396)

[2] Xiaofang Zhong, Shiyuan Han, Jin Zhou*, Yuehui Chen, “Design of Optimal Disturbance Attenuation Controller for Networked TS Fuzzy Vehicle Active Suspension with Control Delay,” International Journal of Fuzzy Systems, vol.21, no.2, pp.676-684, Mar. 2019. (SCI, IF: 2.396)

[3] Jin Zhou*, Long Chen, C. L. Philip Chen, Yingxu Wang, Hanxiong Li, “Uncertain Data Clustering in Distributed Peer-to-Peer Networks,” IEEE Transactions on Neural Networks and Learning Systems, vol.29, no.6, pp.2392-2406, Jun. 2018. (SCI, IF: 11.683)

[4] Peiguang Lin, Tong Zhang*, Menglong Xia, Jin Zhou, Peiyao Nie, “Cross-lingual analysis of English and Chinese web search”, International Journal of Web and Grid Services, vol.14, no.4, pp.376-399, Oct. 2018. (SCI, IF: 0.833)

[5] Xiaofang Zhong, Shiyuan Han*, Xixin Yang, Yuanlin Guan, Jin Zhou, “Optimal Disturbance Rejection with Zero Steady-State Error for Nonlinear Vehicle Suspension Systems under Persistent Road Disturbances”, Shock and Vibration, vol.2018, pp.3605290.1-10, May. 2018. (SCI, IF: 1.628)

[6] Xiao-Fang Zhong, Yu-Hong Sun, Shi-Yuan Han*, Jin Zhou, Dong Wang, “Digital-Control-Based Approximation of Optimal Wave Disturbances Attenuation for Nonlinear Offshore Platforms,” Energies, vol.10, no.12, pp.1997.1-13, Dec. 2017. (SCI, IF: 2.676)

[7] Ling Zhang, Jianqin Yin*, Jiaben Lin, Zhiquan Feng, Jin Zhou, “Detection of Coronal Mass Ejections Using Multiple Features and Space-Time Continuity”, Solar Physics, vol.292, no.7, pp.91.1-16, Jul. 2017. (SCI, IF: 2.405)

[8] Jin Zhou, Long Chen, C. L. Philip Chen*, Yuan Zhang, Hanxiong Li, “Fuzzy Clustering with the Entropy of Attribute Weights,” Neurocomputing, vol.198, pp.125-134, Jul. 2016. (SCI, IF: 2.392)

[9] Ruijun Cheng, Jin Zhou, Dewang Chen, Yongduan Song, “Model-based verification method for solving the parameter uncertainty in the train control system,” Reliability Engineering & System Safety, vol.145, pp.169-182, Jan. 2016. (SCI, IF: 2.498)

[10] Jin Zhou*, C. L. Philip Chen, Long Chen, Hanxiong Li, “A Collaborative Fuzzy Clustering Algorithm in Distributed Network Environments,” IEEE Transactions on Fuzzy Systems, vol.22, no.6, pp.1443-1456, Dec. 2014. (SCI, IF: 8.746)

[11] Yuan Zhang*, Jin Zhou, Shuang Ma, Minglei Shu, “A Routing Enhanced Localisation Algorithm for Wireless Sensor Networks,” International Journal of Ad Hoc and Ubiquitous Computing, vol.15, no.1/2/3, pp.6-11, 2014. (SCI, IF: 0.554)

[12] Jin Zhou*, C. L. Philip Chen, Long Chen, Wei Zhao, “A User-customizable Urban Traffic Information Collection Method based on Wireless Sensor Networks”, IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 3, pp. 1119-1128, Sep. 2013. (SCI, IF: 2.472)

[13] C. L. Philip Chen*, Jin Zhou, Wei Zhao, “A Real-time Vehicle Navigation Algorithm in Sensor Network Environments”, IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 4, pp. 1657-1666, Dec. 2012. (SCI, IF: 3.064)

[14] Zhulin Liu, C.L. Philip Chen, Tong Zhang, Jin Zhou, “Multi-Kernel Broad Learning Systems Based on Random Features: A Novel Expansion for Nonlinear Feature Nodes”, IEEE International Conference on Systems, Man, and Cybernetics, Oct.2019. (Best Paper Award) (EI)

[15] Bozhan Dang, Jin Zhou*, Xiangdao Liu, Rongrong Wang, Lin Wang, Shiyuan Han, Yuehui Chen, “Transfer Learning Based Kernel Fuzzy Clustering”, International Conference on Fuzzy Theory and Its Applications, Nov. 2019. (EI)

[16] Rongrong Wang, Jin Zhou*, Xiangdao Liu, Shiyuan Han, Lin Wang, Yuehui Chen, “Transfer Clustering Based on Gaussian Mixture Model”, IEEE Symposium Series on Computational Intelligence, Dec. 2019. (EI)

[17] Yingxu Wang, Jiwen Dong, Jin Zhou*, Guangmei Xu, Bozhan Dang, Lin Wang, Shiyuan Han, Dong Wang, Yuehui Chen, “Quasi-Monte Carlo Feature Maps based Kernel Fuzzy Clustering”, International Conference on Fuzzy Theory and Its Applications, Nov. 2018. (EI)

[18] Yingxu Wang, Jiwen Dong, Jin Zhou*, Dong Wang, Lin Wang, Shiyuan Han, Yuehui Chen, “Fuzzy c-medoids Method based on JS-divergence for Uncertain Data Clustering,” International Conference on Informative and Cybernetics for Computational Social Systems, pp.24-26, Jul. 2017. (EI)

[19] Kun Zhang, Zonghui Bai, Jin Zhou*, Shouning Qu, “Time Density Oriented Clustering Mechanism,” International Conference on Informative and Cybernetics for Computational Social Systems,pp.72-76, Jul. 2017. (EI)

[20] Zhulin Liu, Jin Zhou, C. L. Philip Chen, “Broad Learning System: Feature extraction based on K-means clustering algorithm,” International Conference on Informative and Cybernetics for Computational Social Systems,pp.683-687, Jul. 2017. (EI)

[21] Jin Zhou*, Hao Teng, Ziqiang Yu, Dong Wang, Jiaqi Wang, “Distributed Processing of Continuous Range Queries Over Moving Objects,” International Conference on Intelligent Computing, Part II, LNCS 10362, pp. 800-810, Aug. 2017. (EI)

[22] Yingxu Wang, Jiwen Dong, Jin Zhou*, Lin Wang, Shiyuan Han, Tong Zhang, C. L. Philip Chen, “Spectral Clustering based on JS-divergence for Uncertain Data,” IEEE International Conference on Systems, Man, and Cybernetics, pp.1972-1975, Oct.2017. (EI)

[23] Jin Zhou*, Yuqi Pan, C. L. Philip Chen, Lin Wang, “Random Feature based Multiple Kernel Clustering,” International Conference on Informative and Cybernetics for Computational Social Systems, Aug. 2016. (Best Paper Award) (EI)

[24] Jin Zhou*, Yuqi Pan, C. L. Philip Chen, Dong Wang, Shiyuan Han, “K-medoids Method based on Divergence for Uncertain Data Clustering,” IEEE International Conference on Systems, Man, and Cybernetics, Oct. 2016. (EI)

[25] Jin Zhou*, Yuan Zhang, Yuyan Jiang, C. L. Philip Chen, Long Chen, “A Distributed K-means Clustering Algorithm in Wireless Sensor Networks,” International Conference on Informative and Cybernetics for Computational Social Systems, pp.26-30, Aug. 2015. (EI)

[26] Jin Zhou*, C. L. Philip Chen, Long Chen, “Maximum-Entropy-Based Multiple Kernel Fuzzy C-Means Clustering Algorithm,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.1198-1203, Oct. 2014. (EI)

[27] Jin Zhou*, C. L. Philip Chen, Long Chen, “Multi-attribute Decision Making for Data-centric Routing in Wireless Sensor Network”, International Conference on Fuzzy Theory and Its Applications, pp. 429-434, Dec. 2013. (Best Paper Award) (EI)

[28] Jin Zhou*, C. L. Philip Chen, Long Chen, “Parallel Attribute-Weighted Fuzzy C-Means Algorithm for Clustering,” IEEE International Conference on System Science and Engineering, pp.96-101, Jun. 2012. (Best Paper Award) (EI)

专利:

1. 基于迁移学习与属性熵加权模糊聚类的数据分类方法,实审,第一位。

2. 基于形态学重建与带有指导滤波的FCM聚类的图像分割方法,实审,第一位。

3. 基于准蒙特卡洛特征的多核全属性加权模糊聚类方法,实审,第一位。

4. 一种基于视点间关系的多视点视频帧插入方法,2017.3.13 ZL201710146159.8,第三位。

5. 一种基于齐次坐标的无线自组织网络节点定位方法,2015.4.22 ZL201210172312.1,第三位。

6. 一种免锚节点的三维无线传感器网络物理定位方法,2015.4.15ZL201210232196.8,第三位。

科研奖励:

1. 基于智能计算的医学影像分析与处理方法研究,济南计算机科学技术一等奖,2018,第二位。

2. 基于无线传感器网络的交通信息监测系统的研究,山东省高等学校优秀科研成果二等奖2015,第一位。

3. 基于计算智能的非线性与生物信号分析与处理方法研究,山东省高等学校科学技术二等奖2016,第五位。

4. 澳门特别行政区研究生科技研发奖,2014,第一位。

5. 山东省水环境监测网优化布点及信息管理系统的研究,山东省科技进步三等奖,2008,第五位。

6. 山东省水环境质量监测网优化布点信息管理系统,山东省计算机应用优秀成果一等奖,2006,第三位。

 

 
教学及研究生培养情况

教学奖励:

1. 竞赛驱动式计算机类人才创新实践能力培养模式的构建山东省教学成果二等奖2018,第三位。

2. 面向社会需求的地方院校计算机科学与技术专业应用型人才培养模式的研究山东省教学成果三等奖2014,第九位。

3. 济南大学优秀教学奖,2010

4. 济南大学优秀教师,2008

5. 济南大学青年教学能手,2004

教研项目:

1. 面向新工科的大数据专业课程体系研究,教育部产学合作协同育人项目,2019,第一位。

2. 新工科背景下大数据人才校企合作培养模式的改革与实践,全国高等学校计算机教育研究会教学研究项目,2018,第一位。

3. 大学计算机,济南大学精品在线课程建设专项,2017,第三位。

4. C语言程序设计》国家精品课程建设项目2009,第四位。

 

 
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