师资队伍

副教授

  • 姓名:王莹洁

  • 职务:

  • 职称:副教授    硕士生导师

  • 所在院系:计算机系

  • 最后学位:博士

  • 最后学历:

  • 最后毕业院校:哈尔滨工程大学

  • 所学专业:计算机应用技术

  • 研究方向:群智感知网络、人工智能

  • 联系方式:towangyingjie@163.com; wangyingjie@ytu.edu.cn


个人简介

王莹洁,博士后,中共党员。现为烟台大学计算机与控制学院副教授/院长助理。IEEECCF会员,山东省人工智能学会常务理事,中国计算机学会服务计算专委会委员,中国计算机学会人工智能与模式识别专委会通讯委员,中国人工智能学会智能服务专委会委员。于20153月毕业于哈尔滨工程大学计算机科学与技术学院。曾在20139月在国家留学基金委的资助下赴美国Georgia State University进行博士联合培养一年。主要从事群智感知网络、可信计算、隐私保护、推荐系统等领域的研究工作,主持1项国家自然科学基金青年项目、1项中国博士后基金特别资助项目、1项中国博士后基金面上项目,参与多项国家自然科学基金和山东省自然科学基金的研究工作,并且在《IEEE Transactions on Computational Social Systems》、《IEEE Internet of Things Journal》、《Computer Networks》、《International Journal of Intelligent Systems》、《Journal of Network and Computer Applications》、《软件学报》、IDEALWASASocialCom等著名期刊和国际会议发表高水平学术论文50余篇,40余篇被SCIEI检索。其中发表在《Computer Networks》的论文“An incentive mechanism with privacy protection in mobile crowdsourcing systems”为ESI高被引论文。获得2020年山东省人工智能科学技术奖优秀青年奖,2020年山东省高等学校科学技术奖三等奖2019年烟台大学科学进步一等奖,2019年烟台大学优秀共产党员,2013年教育部博士研究生国家奖学金。担任SCI期刊DCNIJDSNWCMC专刊的guest editorIPCCC2020Publicity Co-ChairWASA 2015IEEE Cloud2020IEEE SAGCSession Chair,为SocialCom2016COCOON2016ICYCSEE2017WASA2018ICACI2020IPCCC2020IEEE Cloud2020等国际会议的TPC member,为TKDETIITIPTVTTCSSTNSEIEEE IoTIJIS等多个著名期刊审稿。担任国家自然科学基金委函评专家。

教育经历:

2011.09-2015.03,哈尔滨工程大学,计算机应用技术,博士,导师:印桂生

2013.09-2014.09Georgia State University,计算机科学,联合培养博士,导师:Zhipeng Cai

2009.09-2012.03,哈尔滨工程大学,计算机科学与技术,硕士,导师:董宇欣

2005.09-2009.07,哈尔滨师范大学,计算机科学与技术,学士

工作经历:

2017.12-至今,烟台大学,副教授

2017.06-2020.12,华南理工大学,博士后,合作导师:张军、詹志辉

2015.07-2017.12,烟台大学,讲师

2016.07-至今,烟台大学,硕士生导师

研究兴趣:

群智感知网络、隐私保护、边缘计算、推荐系统、可信计算

主讲课程:                                   
编译原理、数据库系统原理及应用、高级人工智能

主要科研成果:

2021

(1) Zice Sun, Yingjie Wang*, Zhipeng Cai, Tianen Liu, Xiangrong Tong, and Nan Jiang. A Two-stage Privacy Protection Mechanism Based on Blockchain in Mobile Crowdsourcing. International Journal of Intelligent Systems, 2021. DOI: 10.1002/int.22371(IF: 10.312,中科院一区,Top期刊)

(2) Chuanxiu Chi, Yingjie Wang*, and Xiangrong Tong, Multi-strategy Repeated Game-based Mobile Crowdsourcing Incentive Mechanism for Mobile Edge Computing in Internet of Things. Wireless Communications and Mobile Computing, 2021, DOI: 10.1155/2020/6695696. (CCF C类期刊)

(3) Shengnan Wu, Yingjie Wang*, and Xiangrong Tong. Multi-objective Task Assignment for Maximizing Social Welfare in Spatio-temporal Crowdsourcing. China Communications, 2021, accepted. (中国权威期刊)

(4) Zhuoran Lu, Yingjie Wang*, Xiangrong Tong, Peng Wang, Chuxiao Mu, and Yingshu Li. Data-Driven Many-Objective Crowd User Selection for Mobile Crowdsourcing in Industrial IoT. IEEE Transactions on Industrial Informatics, 2021. (已修改返回)

(5) Zice Sun, Yingjie Wang*, Xiangrong Tong, Qingxian Pan, Wenyi Liu, and Jiqiu Zhang. Service Quality Loss-aware Privacy Protection Mechanism in Edge-Cloud IoTs. The 13th International Conference on Advanced Computational Intelligence (ICACI2021), 2021.

2020

(1) Yingjie Wang*, Yang Gao, Yingshu Li, and Xiangrong Tong. A worker-selection incentive mechanism for optimizing platform-centric mobile crowdsourcing systems. Computer Networks, 2020, 171: 1-14. (CCF B类期刊) DOI: 10.1016/j.comnet.2020.1071443

(2) Mengnan Bi, Yingjie Wang*, Yingshu Li, and Xiangrong Tong. A privacy-preserving mechanism based on local differential privacy in edge computing, China Communications, 2020, 17(9):50-65. DOI: 10.23919/JCC.2020.09.005

(3) Tianen Liu, Yingjie Wang*, Yingshu Li, Xiangrong Tong, Lianyong Qi, and Nan Jiang, Privacy protection based on stream cipher for spatio-temporal data in IoT. IEEE Internet of Things Journal, 2020, 7(9): 7928-7940. (IF: 9.936,中科院一区,Top期刊) 2

(4) Yingjie Wang*, Zhipeng Cai, Zhi-Hui Zhan, Bingxu Zhao, Xiangrong Tong, and Lianyong Qi. Walrasian equilibrium-based multiobjective optimization for task allocation in mobile crowdsourcing. IEEE Transactions on Computational Social Systems, 2020, 7(4): 1033-1046. 8

(5) Tianen Liu, Yingjie Wang*, Xiangrong Tong, Qingxian Pan, Jindong Zhao, A Dynamic Privacy Protection Mechanism for Spatio-temporal Crowdsourcing, Security and Communication Networks, 2020, DOI: 10.1155/2020/8892954.

(6) 胡颖, 王莹洁*, 童向荣. 基于众包工人移动轨迹的任务推荐模型. 计算机科学, 2020, 47(10): 32-40.

2019

(1) Yingjie Wang, Zhipeng Cai, Zhi-Hui Zhan, Yue-Jiao Gong, and Xiangrong Tong. An Optimization and Auction-Based Incentive Mechanism to Maximize Social Welfare for Mobile Crowdsourcing [J]. IEEE Transactions on Computational Social Systems, 2019, 6(3): 414-429.

(2) Bingxu Zhao, Yingjie Wang*, Yingshu Li, Yang Gao, Xiangrong Tong, Task Allocation Model Based on Worker Friend Relationship for Mobile Crowdsourcing [J]. Sensors, 2019, 19(4): 921. (中科院二区,Top期刊)

(3) Qingxian Pan, Hongbin Dong, Yingjie Wang, Zhipeng Cai, Lizong Zhang, Recommendation of Crowdsourcing Tasks based on Word2vec Semantic Tags [J]. Wireless Communications and Mobile Computing, 2019: 1-10.

(4) Qingxian Pan, Tingwei Pan, Hongbin Dong, Yingjie Wang. An Online Task Assignment based on Multi-Objective Optimization for Spatio-temporal Crowdsourcing [J]. IEEE Access, 2019.

2018:

(1) Ying Hu, Yingjie Wang*, Yingshu Li* and Xiangrong Tong. An Incentive mechanism based on Multi-Attribute Reverse Auction in Mobile Crowdsourcing [J]. Sensors. 2018, 18(10): 3453. (中科院二区,Top期刊)

(2) Yingjie Wang, Zhipeng Cai, Xiangrong Tong, Yang Gao and Guisheng Yin. Truthful incentive mechanism with location privacy-preserving for mobile crowdsourcing systems [J]. Computer Networks, 2018, 135: 32-43. (CCF B类期刊)

(3) Yingjie Wang*, Yingshu Li, Zhongyang Chi, and Xiangrong Tong. The truthful evolution and incentive for large-scale mobile crowd sensing networks [J]. IEEE Access. 2018, 6(1): 51187-51199.

(4) Yingjie Wang*, Xiangrong Tong, Kai Wang, Baode Fan, Zaobo He, Guisheng Yin. A Novel Task Recommendation Model for Mobile Crowdsourcing Systems [J]. International Journal of Sensor Networks. 2018, 28(3): 139-148.

(5) Zhongyang Chi, Yingjie Wang*, Yan Huang and Xiangrong Tong. The novel location privacy-preserving CKD for mobile crowdsourcing systems [J]. IEEE Access, 2018, 6: 5678-5687.

2017:

(1) Yingjie Wang, Zhipeng Cai, Zhongyang Chi, Xiangrong Tong, Lijie Li, A differentially k-anonymity-based location privacy-preserving for mobile crowdsourcing systems [C]. IIKI 2017, 2018, 129: 28-34.

(2) Kai Wang, Wei Bao, Yingjie Wang, Xiangrong Tong. Evaluating and Mitigating Malicious Data Aggregates in Named Data Networking [J]. KSII Transactions on Internet and Information Systems. 2017.

(3) Ruoshan Lan, Yanwei Yu*, Lei Cao, Peng Song, Yingjie Wang. Discovering Moving Object Evolving Groups from Massive Trajectory Streams [C]. MDM 2017, 2017: 256-265. (CCF C类会议)

(4) Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei liu, Yingjie Wang. An effective and efficient hierarchical K-means clustering algorithm [J]. International Journal of Distributed Sensor Networks, 2017, 13(8): 1-17.(SCI)

(5) 张亚楠, 陈德运, 王莹洁,. 基于增量图形模式匹配的动态冷启动推荐方法[J]. 浙江大学学报(工学版), 2017, 51(2):408-415.

2016:

(1) Yingjie Wang, Zhipeng Cai*, Guisheng Yin, Yang Gao, Xiangrong Tong, Guanying Wu. An incentive mechanism with privacy protection in mobile crowdsourcing systems [J]. Computer Networks, 2016, 102: 157-171. (ESI高被引论文,CCF B类期刊)

(2) Yingjie Wang, Zhipeng Cai, Guisheng Yin, Yang Gao, Xiangrong Tong, Qilong Han. A game theory-based trust measurement model for social networks [J]. Computational Social Networks, 2016, 3(1): 1-16.

(3) 王莹洁, 蔡志鹏, 童向荣, 潘庆先, 高洋, 印桂生. 一种基于声誉的移动众包系统的在线激励机制[J]. 计算机应用 (CCDM2016), 2016, 36(8): 2121-2127.

(4) Yingjie Wang, Xiangrong Tong, Zaobo He, Yang Gao, Kai Wang. A Task Recommendation Model for Mobile Crowdsourcing Systems based on Dwell-time [C]. SocialCom 2016, Atlanta, USA, October 8-10, 2016: 170-177.

(5) Meng Han, Yi Liang, Yingjie Wang. Mining Public Business Knowledge: A Case Study in SEC’s EDGAR [C]. SocialCom 2016, Atlanta, USA, October 8-10, 2016: 393-400.

(6) 潘庆先, 董红斌, 韩启龙, 王莹洁, 丁蕊. 一种基于BP神经网络的属性重要性计算方法[J]. 中国科学技术大学学报, 2016.

(7) 童向荣, 姜先旭, 王莹洁, 张楠. 信任网络形成及其在智能推荐中的应用研究进展[J]. 小型微型计算机系统, 2016.

(8) 郭艳燕, 童向荣, 张楠, 王莹洁. 基于演化博弈论的网络信息传播群体行为分析[J]. 智能系统学报, 2016, 11(4):487-495.

2015:

(1) Yingjie Wang, Guisheng Yin, Zhipeng Cai*, Yuxin Dong, Hongbin Dong. A Trust-based Probabilistic Recommendation Model for Social Networks [J]. Journal of Network and Computer Applications, 2015, 55: 59-67.  (中科院一区,Top期刊)

(2) Yingjie Wang, Yingshu Li, Yang Gao, Xiangrong Tong. A Trust Evolution Mechanism for Mobile Social Networks Based on Wright-Fisher [C]. 10th International Conference, WASA 2015, Qufu, China, August 10-12, 2015: 592-601. (CCF C类会议)

(3) Yingjie Wang, Zhipeng Cai, Guisheng Yin, Yang Gao, Qingxian Pan. A Trust Measurement in Social Networks Based on Game Theory [C]. 4th International Conference, CSoNet 2015, Beijing, China, August 4-6, 2015: 236-247.

其他重要论文:

(1) Guisheng Yin, Yingjie Wang*, Yuxin Dong, and Hongbin Dong. Wright-Fisher multi-strategy trust evolution model with white noise for Internetware [J]. Expert Systems with Applications, 2013, 40(18): 7367-7380. (中科院一区,Top期刊)

(2) 印桂生, 王莹洁*, 董宇欣, 崔晓晖. 网构软件的Wright-Fisher多策略信任演化模型 [J]. 软件学报, 2012, 23(8): 1978-1991.

获奖:

 

  1. 2020年山东省高等学校科学技术奖 三等奖 群智感知网络中移动众包系统的关键理论及技术研究

  2. 2020年山东省人工智能科学技术奖 优秀青年奖 群智感知环境下移动众包的关键问题研究

  3. 2019年烟台大学科技进步奖 一等奖

  4. 2019年烟台大学优秀共产党员

主持及参与纵向项目:

(1) 12批中国博士后特别资助项目,移动群智感知中基于隐私保护的激励机制研究,2019T1207322019.06-2020.06,主持

(2) 62批中国博士后基金面上项目,群智感知网络中移动众包系统的关键理论及技术研究,2017M6226912017.11-2019.06,主持

(3) 国家自然科学基金青年项目,移动社会网络中众包系统的可信机制研究,615024102016.01-2018.12,主持

(4) 国家自然科学基金青年项目,兴趣包泛洪攻击的协同防范机制研究,617024392018.01-2020.12,参与

(5) 国家自然科学基金青年项目,点对点网络个性化资源推荐和定位研究,616023992017.01-2019.12,参与

(6) 国家自然科学基金面上项目,网构软件多策略信任演化博弈机制研究,612721862013.01-2017.12,参与

(7) 山东省自然科学基金面上项目,网络信息传播全局化动力学模型及其在舆情分析中的应用研究,ZR2016FM422017.01-2019.12,参与

(8) 黑龙江省自然科学基金,差异服务下网构软件的多策略信任演化模型研究,2011.09-2012.09,参与

(9) 哈尔滨工程大学重大科研立项,差异服务下网构软件的Wright-Fisher多策略信任演化模型研究,2011.09-2012.01,主持

主持横向项目:

  1. 2020.08-2021.01,导航雷达目标多维特征提取技术,主持

主要教学成果:

  1. 第三批烟台大学在线课程建设 编译原理

  2. 第六届烟台大学青年教师教学竞赛 二等奖

  3. 2020年烟台大学教学质量奖

指导研究生情况:

指导在读研究生12名,已毕业研究生3名,其中2名获得国家奖学金


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