师资队伍

教授

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  • 姓名:王莹洁

  • 职务:发展规划与学科建设处副处长

  • 职称:教授 博士生导师

  • 所在院系:计算机系

  • 最后学位:博士

  • 最后学历:研究生

  • 最后毕业院校:哈尔滨工程大学

  • 研究方向:群智感知网络、网构软件、服务计算

  • 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教授,博士生导师,发展规划与学科建设处副处长,山东省优秀青年基金获得者,烟台市双百计划拔尖人才,空天信息融合与服务计算山东省高等学校未来产业工程研究中心主任CCF杰出会员,IEEE TCSVC宣传主席兼多样性主席,中国计算机学会服务计算专委会常务委员/副秘书长,中国人工智能学会智能服务专委会常务委员,中国计算机学会人工智能与模式识别专委会执行委员,中国计算机学会协同计算专委会执行委员,中国人工智能学会机器学习专委会通讯委员,中国电子学会物联网专家委员会青年专技组委员,山东省人工智能学会常务理事/副秘书长/标准化工委会秘书长,山东计算机学会理事。主要从事群智感知网络、服务计算、人工智能等领域的研究工作,主持国家自然科学基金面上项目/青年项目、中国博士后基金特别资助项目/面上项目,山东省自然科学基金优秀青年项目/面上项目,烟台市科技发展计划项目等课题10余项,是山东省高等学校青创科技计划创新团队负责人,在IEEE TMCIEEE TSCIEEE TIIIEEE TCCIEEE TCSSIEEE Internet of Things JournalComputer Networks、《软件学报》、IDEALWASASocialCom等著名期刊和国际会议发表高水平学术论文100余篇,第一作者或通讯作者论文75篇,CCF A类/中科院一区/IEEE汇刊34篇,ESI高被引论文5篇,热点论文1篇,会议最佳论文奖4篇,总引用次数近3000次。获得2025年山东省科学技术奖一等奖、2021年山东省教学成果奖二等奖、2023年山东省人工智能自然科学奖一等奖、2022年中国人工智能学会服务计算青年才俊奖、2020年山东省人工智能科学技术奖优秀青年奖、2021年山东省自然科学奖三等奖、2020年山东省高等学校科学技术奖三等奖等奖励,获得山东省巾帼建功标兵、烟台市第二届最美巾帼奋斗者、山东省人工智能学会最美科技工作者荣誉称号。担任多个国际会议的组织主席、宣传主席、出版主席等,为多个著名期刊审稿。担任国家自然科学基金委函评专家、山东省科技特派员、企业科技顾问等。

工作经历:

2023.01-至今,烟台大学,计算机与控制工程学院,教授

2017.12-2023.01,烟台大学,计算机与控制工程学院,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,计算机与控制工程学院,讲师

2016.07-至今,烟台大学,计算机与控制工程学院,硕士生导师

研究兴趣:

多空间群智感知、网构软件、服务计算


主要科研成果:

2025:


(1)Yifan Li, Wenhan Hou*, Haojun Teng, Yingxin Li, Meimei Sun, Yingjie Wang. A Collaborative Scheduling Method for Satellite Computing Tasks based on Stackelberg Game and an Improved Fireworks Algorithm, International Conference on Satellite Computing (Satellite), 2025.
(2)Qingyuan Niu, Haojun Teng*, Shilong Jin*, Yingjie Wang, Wenhan Hou, Cong Liu. A Collaborative Task Scheduling Method for Heterogeneous LEO Satellite Networks Based on Mixed-strategy Game, International Conference on Satellite Computing (Satellite), 2025. (Student Best Paper)
(3)Qingyuan Niu, Yingjie Wang, Yang Gao*, Haojun Teng, Wenhan Hou, Haijing Zhang, Zhipeng Cai. Implicit Dynamic Incentives Mechanism based on Anchoring Effects in Mobile Crowd Sensing. Computer Networks, 2025, 274: 111850.(CCF B类)
(4)Dihong Luo, Yingjie Wang*, Zhongwei Zhan, Haojun Teng, Wenhan Hou, Igor Bychkov, Evgeny Cherkashin. NSP-MCS: Reinforcement Learning-Based Navigation-Aware Task Scheduling for Mobile Crowdsourcing, The 20th International Conference on Green, Pervasive, and Cloud Computing (GPC), 2025.
(5)Yingjie Wang, Dihong Luo, Haojun Teng, Peiyong Duan*, Yang Gao*, Haijing Zhang, Zhipeng Cai. Multi-Space Crowd Sensing Task Allocation: A Dynamic Co-Optimization Framework with Fairness-Aware Reinforcement Learning, IEEE Transactions on Mobile Computing, 2025. DOI: 10.1109/TMC.2025.3640127.(CCF A类)
(6)Dihong Luo, Yingjie Wang*, Haojun Teng, Bingyi Xie, Meimei Sun, Zhipeng Cai. Enhancing Game Policy Optimization in Mobile Crowdsourcing: A Reinforcement Learning Approach[J]. IEEE Transactions on Services Computing, 2025, 18(5): 2837 - 2850.(CCF A类)
(7) Yahong Li, Yingjie Wang*, Gang Li, Xiangrong Tong, Zhipeng Cai. Determining Task Assignments for Candidate Workers Based on Trajectory Prediction. IEEE Transactions on Mobile Computing, 2025, 24(5): 3890 - 3902.(CCF A类)
(8)Yingjie Wang, Yingxin Li, Weilong Wang, Peiyong Duan, Akshita Maradapu Vera Venkata Sai, Zhipeng Cai. Mobile crowdsourcing based on 5G and 6G: A survey. Neurocomputing, 2025, 618: 128993.
(9)Yingxin Li, Yingjie Wang*, Peng Wang, Weilong Wang, Xiangrong Tong. A Real-Time Route Prediction-Based Multiobjective Task Allocation for Opportunistic Mobile Crowdsensing. IEEE Transactions on Computational Social Systems, 2025, 12(5): 2549 - 2561.
(10)Shilong Jin, Yingjie Wang*, Peiyong Duan, Haijing Zhang, Gang Li, Zhipeng Cai. Multiagent Confrontation Method Based on Three-Party Dynamic Multistrategy Evolutionary Game. IEEE Transactions on Computational Social Systems, 2025, 12(5): 2604 - 2617.
(11)Long Wang,Yingjie Wang*, Haojun Teng, Xiuzhen Jiao, Meimei Sun, Jishen Yang , Zhipeng Cai. Two-Stage Incentive Mechanism Based on a Cooperative Mode: A Stackelberg Game Approach. IEEE Internet of Things Journal, 2025, 12(13): 24722 - 24737.
(12)Yingjie Wang, Lingkang Meng*, Peiyong Duan*, Xiangrong Tong, Zice Sun, Zhaowei Liu, Zhipeng Cai. Task Allocation Optimization Mechanism based on Voronoi Diagram in Edge-Cloud Networks. IEEE Transactions on Cloud Computing, 2025.


2024:


(1)Zhongwei Zhan, Yingjie Wang*, Peiyong Duan, Akshita Maradapu Vera Venkata Sai, Zhaowei Liu, Chaocan Xiang, Weilong Wang, Zhipeng Cai. Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach. IEEE Transactions on Mobile Computing, 2024, 23(10): 10093 - 10110. (CCF A类)
(2)Ying Zhao, Yingjie Wang*, Peiyong Duan, Haijing Zhang, Zhaowei Liu, Xiangrong Tong, Zhipeng Cai, Mobile Crowdsourcing Quality Control Method Based on Four-Party Evolutionary Game in Edge Cloud Environment, IEEE Transactions on Computational Social Systems, 2024, 11(3): 3652 - 3666.
(3)Xuelei Sun, Yingjie Wang*, Peiyong Duan, Qasim Zia, Weilong Wang and Zhipeng Cai, Bilateral Privacy Protection Scheme Based On Adaptive Location Generalization and Grouping Aggregation in Mobile Crowdsourcing, IEEE Internet of Things Journal, 2024, 11(10): 17740 - 17750.
(4)Chenghao Zhang, Yingjie Wang*, Weilong Wang, Haijing Zhang, Zhaowei Liu, Xiangrong Tong, Zhipeng Cai. A Personalized Location Privacy Protection System in Mobile Crowdsourcing, IEEE Internet of Things Journal, 2024, 11(6): 9995 - 10006.
(5)Yu Wang, Yingjie Wang*, Wenjun Duan, Yuanjie Zheng, Peiyong Duan, Joint Measurement of Thermal Discomfort by Occupant Pose, Motion and Appearance in Indoor Surveillance Videos for Building Energy Saving. Journal of Circuits, Systems and Computers. 2024, 33(3): 2450051.
(6)Dong Yang, Zhaowei Liu, Yingjie Wang, Jindong Xu, Weiqing Yan, Ranran Li. Adaptive multi-channel Bayesian Graph Neural Network.  Neurocomputing, 2024, 575: 127260.
(7)Xin liu, Jie Tian, Peiyong Duan, Qian Yu, Gaige Wang, Yingjie Wang. GrMoNAS: A granularity-based multi-objective NAS framework for efficient medical diagnosis, 2024, 171: 108118.
(8)Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, Shenqiang Wang, Pengda Wang. BI-FedGNN: Federated graph neural networks framework based on Bayesian inference. Neural Networks, 2024, 169: 143 - 153.
(9)Bingxu Zhao, Hongbin Dong, Yingjie Wang, Xiaolin Gao, Tingwei Pan. An Enhanced Task Allocation Algorithm for Mobile Crowdsourcing Based on Spatiotemporal Attention Network. IEEE Transactions on Computational Social Systems. 2024, 11(3): 3803 - 3815.
(10)Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou. Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24), 2024. (CCF A类)
(11)Zongxing Zhao, ZhaoweiLiu, Yingjie Wang, Dong Yang, Weishuai Che. RA-HGNN: Attribute Completion of Heterogeneous Graph Neural Networks based on Residual Attention Mechanism. Expert Systems with Applications, 2024, 243: 122945.
(12)Weishuai Che, Zhaowei Liu, Yingjie Wang, Jinglei Liu. Merit: Multi-level Graph Embedding Refinement Framework for Large-scale Graph. Complex & Intelligent Systems. 2024, 10(1): 1303 - 1318.
(13)Xinhao Li, Yingjie Wang*, Feng Jiang, Yang Gao, Chunxiao Mu, Zhipeng Cai. Bidirectional Choice for Many-to-many Online Task Assignment in Mobile Crowdsourcing//2024 IEEE International Conference on Web Services (ICWS). IEEE, 2024: 123 - 132. (CCF B类)
(14)Kaiwen Zhao, Xiangrong Tong, Peng Wang, Yingjie Wang, Yue Chen. A pareto fronts relationship identification-based two-stage constrained evolutionary algorithm. Applied Soft Computing, 2024, 159: 111674.
(15)Yingxin Li, Weilong Wang, Yingjie Wang*, Tong Xiangrong, Peiyong Duan, Zhipeng Cai. Personalized Privacy Protection Incentive Mechanism for Mobile Crowdsourcing Based on Homomorphic Encryption and Edge Computing [C]//2024 IEEE International Conference on Web Services (ICWS). IEEE, 2024: 1371 - 1376. (CCF B类)
(16)Kaige Jiang, Yang Gao, Peng Wang, Zhaolong Gao, Xiangrong Tong, Yingjie Wang. An Incentive Algorithm for Cross-region Task Allocation based on Worker Coalition Under Mobile Crowdsourcing//2024 IEEE International Conference on Web Services (ICWS). IEEE, 2024: 188 - 197. (CCF B类)


2023:


(1)Weilong Wang, Yingjie Wang*, Peiyong Duan, Tiuen Liu, Xiangrong Tong, and Zhipeng Cai. A Triple Real-time Trajectory Privacy Protection mechanism Based on Edge computing and Blockchain in Mobile Crowdsourcing. IEEE Transactions on Mobile Computing, 2023, 22(10): 5625 - 5642. (CCF A类,ESI高被引论文)
(2)Qi Zhang, Yingjie Wang*, Guisheng Yin, Xiangrong Tong, Akshita Maradapu Vera Venkata Sai, and Zhipeng Cai. Two-stage Bilateral Online Priority Assignment in Spatio-temporal Crowdsourcing, IEEE Transactions on Services Computing, 2023, 16(3): 2267 - 2282. (CCF A类)
(3)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, 2023, 19(1): 531 - 540.(CAA A类,ESI高被引)
(4)Zhaowei Liu, Dong Yang, Yingjie Wang*, Mingjie Lu, and Ranran Li. EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks. Applied Soft Computing, 2023, 135: 110040.
(5)Kaige Jiang, Yingjie Wang*, Haipeng Wang, Zhaowei Liu, Qilong Han, Ao Zhou, Chaocan Xiang, and Zhipeng Cai. A Reinforcement Learning Based Incentive Mechanism for Task Allocation Under Spatio-temporal Crowdsensing. IEEE Transactions on Computational Social Systems, 2023, 11(2): 2179 - 2189.
(6)Xinhao Li, Yingjie Wang*, Bingyi Xie, Lingkang Meng, Zhaowei Liu, Xiangrong Tong, Ao Zhou, and Zhipeng Cai. Planning-Based Mobile Crowdsourcing Bidirectional Multi-Stage Online Task Assignment. Computer Networks, 2023, 233: 109879.(CCF B类)
(7)Lingkang Meng, Yingjie Wang*, Haipeng Wang, Xiangrong Tong, Zice Sun, and Zhipeng Cai. Task ofoading optimization mechanism based on deep neural network in edge-cloud environment. Journal of Cloud Computing, 2023, 12(1): 76.
(8)Xinxiao Zang, Yang Gao, Xuqiang Qiu, Yingjie Wang, Multi-round Collaborative Task Assignment Under the Edge Cloud in Mobile Crowdsourcing. International Conference on Service Science (ICSS), 2023: 106-120.
(9)Bingxu Zhao, Hongbin Dong, Yingjie Wang, Tingwei Pan. PPO-TA: Adaptive task allocation via Proximal Policy Optimization for Spatio-temporal Crowdsourcing. Knowledge-Based Systems, 2023, 264: 110330 .
(10)Mingjie Lu, Zhaowei Liu, Yingjie Wang, Haiyang Wang, Dong Yang. A Bayesian Graph Structure Inference Neural Network Based on Adaptive Connection Sampling. Applied Soft Computing, 2023, 175: 113018.


2022:


(1)Mingze Wang, Yingjie Wang*, Akshita Maradapu Vera Venkata Sai, Zhaowei Liu, Yang Gao, Xiangrong Tong, Zhipeng Cai. Task Assignment for Hybrid Scenarios in Spatial Crowdsourcing: A Q-Learning-based approach. Applied Soft Computing, 2022, 103: 109749.
(2)Weilong Wang, Yingjie Wang*, Yan Huang, Chunxiao Mu, Zice Sun, Xiangrong Tong, and Zhipeng Cai. Privacy Protection Federated Learning System based on Blockchain and Edge Computing in Mobile Crowdsourcing, Computer Networks, 2022, 215: 109206. (CCF B类)
(3)Qi Zhang, Yingjie Wang*, Zhipeng Cai, and Xiangrong Tong. Multi-stage Online Task aAssignment Driven by Offline Data under Spatio-temporal Crowdsourcing, Digital Communications and Networks, 2022, 8(4): 516 - 530.
(4)Fuxing Li, Yingjie Wang*, Yang Gao, Xiangrong Tong, Nan Jiang, and Zhipeng Cai. Three-Party Evolutionary Game Model of Stakeholders in Mobile Crowdsourcing. IEEE Transactions on Computational Social Systems, 2022, 9(4): 974 - 985.
(5)Chuanxiu Chi, Yingjie Wang*, Xiangrong Tong, Maddy Siddula, and Zhipeng Cai. Game Theory in Internet of Things: A Survey. IEEE Internet of Things Journal, 2022, 9(14): 12125 - 12146.
(6)Bingxu Zhao, Hongbin Dong, Yingjie Wang, Tingwei Pan. A Task Allocation Algorithm based on Reinforcement Learning in Spatio-temporal Crowdsourcing. Applied Intelligence, 2022, 53(11): 13452 - 13469.
(7)Dongdong Shen, Chenguang Ning, Yingjie Wang, Wenjun Duan, Peiyong Duan. Smart Lighting Control System based on Fusion of Monocular Depth Estimation and Multi-object Detection. Energy and Buildings, 2022, 277: 112485.
(8)Yanwei Yu, Ruoshan Lan, Lei Cao, Peng Song, Yingjie Wang. Online Discovery of Evolving Groups over Massive-Scale Trajectory Streams. 2022, DOI: 10.48550/arXiv.2208.06128.


2021:


(1)Yingjie Wang, Mingze Wang, Lingkang Meng, Qi Zhang, Xiangrong Tong, and Zhipeng Cai*. New Crowd Sensing Computing in Space-Air-Ground Integrated Networks. IEEE SAGC 2021. Distinguished Paper Award
(2)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, 36(5): 2058 - 2080. (ESI高倍引论文)
(3)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, 2021(1): 6695696.
(4)Shengnan Wu, Yingjie Wang*, and Xiangrong Tong. Multi-objective Task Assignment for Maximizing Social Welfare in Spatio-temporal Crowdsourcing. China Communications, 2021, 18(11): 11 - 25.
(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 (ICACI 2021), 2021: 207 - 214.
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)
(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.
(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.
(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.
(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, 2020(1): 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.
(7)Qingxian Pan, Tingwei Pan, Hongbin Dong, Zhaolong Gao, Yingjie Wang. Research on Task Assignment to Minimize Travel Cost for Spatio-temporal Crowdsourcing. IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC), 2020, 2020: 146 - 153.
(8)Dan Wang, Jindong Zhao, Yingjie Wang. A Survey on Privacy Protection of Blockchain: The Technology and Application. IEEE Access. 2020, 8: 108766 - 108781.


其他重要论文:


(1)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)
(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. (CCF A类)
(3)印桂生, 王莹洁, 董宇欣. 基于Rough-Fuzzy的网构软件信任度量模型[J]. 哈尔滨工程大学学报. 2013 (2): 221 - 226.
(4)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)
(5)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.
(6)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.
(7)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. 

获奖:

(1) 2025年山东省科技进步奖 一等奖 多空间异构多智能体自主协同控制关键技术及应用(2/15)
(2) 2023年山东省人工智能自然科学奖 一等奖 群智感知协同计算与优化关键理论及应用(1/2)
(3) 2022年中国计算机学会服务计算青年才俊奖
(4) 2021年山东省自然科学奖 三等奖 信任路径搜索及其在移动众包系统中的应用研究(2/4)
(5) 2021年山东省人工智能学会 最美科技工作者
(6) 2024年山东省研究生创新成果奖 基于多策略博弈的群智感知任务分配可信机制研究 指导教师
(7) 2021年山东省研究生优秀成果奖 二等奖 边缘云环境下在移动群智感知中隐私保护激励机制的研究 指导教师
(8) 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(1/3)
(9) 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(1/1)
(10)2021年山东省高校教学成果奖 二等奖 课程变革、产教融合、拔尖创新:“三三三”应用型人才培养模式探索与实践(7/9)
(11) 2023年山东省巾帼建功标兵
(12) 2023年烟台市最美巾帼奋斗者
(13) 2019年烟台大学科技进步奖 一等奖(1/1)
(14) 2019年烟台大学优秀共产党员
(15) 2022年烟台大学三八红旗手
(16) 第六届烟台大学青年教师教学竞赛 二等奖
(17) 2020年烟台大学教学质量奖

主持及参与纵向项目:

(1) 国家自然科学基金重大研究计划培育项目,面向人机物融合智能化软件的可信、可控行为机理研究,92582115,2026.01-2028.12,主持,60万
(2) 国家自然科学基金面上项目,面向多空间群智感知的任务分配优化机制研究,62272405,2023.01-2026.12,主持,54万
(3) 山东省自然科学基金优秀青年项目,群智感知服务计算关键理论与应用,ZR2024YQ002,2025.01-2027.12,主持,50万
(4) 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,61502410,2016.01-2018.12,主持,23.6万
(5) 山东省高等学校青创科技支持计划,边缘云环境下分布式群智协同机制研究,2022.01-2024.12,主持,50万
(6) 山东省自然科学基金面上项目,边缘云环境下移动众包的群智感知协同机制研究,ZR2022MF238,2023.01-2025.12,主持,10万
(7) 第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,2019T120732,2019.06-2020.06,主持,18万
(8) 第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,2017M622691,2017.11-2019.06,主持,5万
(9) 山东省重点研发计划项目,2022.11-2025.11,课题负责人,200万
(10) 烟台市科技发展计划,基于卫星遥感数据的海上溢油扩散智能实时预测技术研究与应用,2022XDRH023,2022.01-2023.12,主持,40万
(11) 网络与交换技术全国重点实验室开放课题,面向边缘环境的智能调度与资源分配机制,SKLNST-2022-1-12,主持,3万
(12) 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,61702439,2018.01-2020.12,参与
(13) 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,61602399,2017.01-2019.12,参与
(14) 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,61272186,2013.01-2017.12,参与
(15) 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,ZR2016FM42,2017.01-2019.12,参与
(16) 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
(17) 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

(2) 2023.06-2024.06,基于群智感知的钟联网精密时间智能运维系统,主持

 

发明专利:

2025:
(1)王莹洁; 李怡帆; 高洋; 苏开乐; 童向荣; 程翔; 张强; 孙美美。一种面向群智感知的Stackelberg动态异构任务分配方法及系统。CN120655068B
(2)王莹洁; 骆弟洪; 程翔; 滕浩钧; 侯文涵; 安茂国; 高洋; 孙美美。一种基于多空间建模与公平性强化学习的群智感知任务调度方法及系统。CN120069491B
(3)王莹洁; 骆弟洪; 滕浩钧; 孙美美; 潘庆先; 童向荣; 马文明。一种基于多目标优化的移动众包策略优化方法及系统。CN119204625B
(4)王莹洁; 李亚鸿; 滕浩钧; 王海鹏; 高洋; 安茂国; 刘志中; 赵相福。一种多层次任务分配的众包环境下区域分类方法及系统。CN119180477B
(5)王莹洁; 王龙; 滕浩钧; 高洋; 王海鹏; 赵相福; 刘志中; 段培永; 焦秀珍。一种基于Stackelberg博弈的合作模式激励方法及系统。CN119204083B
(6)王莹洁; 金世龙; 段培永; 滕浩钧; 孙美美; 刘颢; 刘志中; 赵相福。一种多智能体博弈对抗的异构任务优化方法及系统。CN119139704B
2024:
(1)Yingjie Wang, Ying Zhao, Zhaowei Liu, Peiyong Duan. CONTROL METHOD, SYSTEM AND DEVICE WITH EDGE CLOUD SERVICE STABILITY. 20240272951(美国发明专利)
(2)王莹洁; 孙雪磊; 安茂国; 高洋; 王海洋; 童向荣; 刘志中; 王鹏。一种多任务场景下基于隐私保护的工人选择方法及系统。CN118660289B
(3)王莹洁; 湛中伟; 程翔; 段培永; 齐连永; 张强; 童向荣; 潘庆先。一种基于社交推荐与信任预测的工人招募方法及系统。CN118552168B
(4)王莹洁; 李营新; 高洋; 童向荣; 张强; 邱旭强; 段培永; 王鹏; 滕浩钧。一种基于移动众包的知识蒸馏分布式文生图方法及系统。CN118520977B
(5)王莹洁; 湛中伟; 段培永; 童向荣; 王鹏。一种基于信任评估框架和禁忌搜索的工人招募方法及系统。CN117474509B
(6)王莹洁; 孙雪磊; 高洋; 逄锦伟。一种基于联邦学习和边缘计算的两方隐私保护方法及系统。CN117473559B
(7)王莹洁; 李亚鸿; 段培永; 刘兆伟; 王鹏; 逄锦伟。众包环境下的多阶段任务分配方法、系统、设备及介质。CN117455200B
(8)王莹洁; 李营新; 高洋; 刘兆伟; 王鹏; 童向荣; 刘志中; 崔振东。基于工人偏好的任务分配方法、系统、装置、存储介质。CN117422266B
(9)王莹洁; 金世龙; 刘兆伟; 段培永; 刘志中; 童向荣; 宋永超。一种无人艇集群的攻击方法、系统、装置及存储介质。CN117313972B
2023:
(1)王莹洁; 赵颖; 刘兆伟; 段培永。一种边缘云服务稳定的控制方法、系统及装置。CN116055490B

 

指导研究生情况:

指导在读研究生12名,已毕业研究生25名,其中,3名获得山东省研究生优秀成果奖,1名研究生获得山东省计算机学会优秀硕士学位论文奖,3名获得国家奖学金,4名研究生被东南大学录取为博士研究生,2名研究生被北京邮电大学录取为博士研究生,1名研究生被哈尔滨工程大学录取为博士研究生,1名研究生被天津大学录取为博士研究生。

 

CCF A类/中科院一区/IEEE汇刊34篇,

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