Yingjie Wang

Yingjie Wang, Ph.D.

Professor & Ph.D. Supervisor

Professor and Former Dean of School of Computer and Control Engineering at Yantai University

Email: towangyingjie@163.com · wangyingjie@ytu.edu.cn

Personal Profile

Yingjie Wang is a Professor and Ph.D. Supervisor in the School of Computer and Control Engineering at Yantai University, where she previously served as Dean. She is a recipient of the Shandong Province Excellent Young Scientists Fund and serves as the Founding Director of both the Shandong Provincial Key Laboratory of Service Computing Technology and Systems and the Shandong Provincial University Future Industry Engineering Research Center for Aerospace Information Fusion and Service Computing.

She holds several notable professional roles, including IEEE Senior Member, CCF Distinguished Member, Publicity Chair and Diversity Chair of the IEEE Technical Committee on Services Computing (TCSVC), and Deputy Secretary-General of the CCF Technical Committee on Service Computing.

Her research expertise centers on service computing, crowdsensing networks, and artificial intelligence. She has led multiple research projects supported by the National Natural Science Foundation of China (NSFC) and the Shandong Provincial Natural Science Foundation, including the Excellent Young Scientists Program. Additionally, she leads an innovation team under the Shandong Provincial University Youth Innovation Science and Technology Program.

Prof. Wang has authored 117 high-quality papers in prestigious journals and conferences such as IEEE TMC, IEEE TSC, IEEE TII, IEEE TCC and so on. Of these, 5 are recognized as ESI Highly Cited Papers, and 1 is a Hot Paper. She has also received 4 Best Paper Awards at international conferences. Her publications have been cited more than 3,000 times in total, with 11 papers cited over 100 times each.

In terms of intellectual property, she holds 20 authorized invention patents as the first inventor, including 1 U.S. patent and 19 Chinese patents, two of which have been commercialized. She has also contributed to the development of 2 group standards.

Her work has been recognized with several awards, including the First Prize of Shandong Provincial Science and Technology Progress Award (2025), the First Prize of Shandong Provincial Teaching Achievement Award (2025), the First Prize of Shandong Artificial Intelligence Natural Science Award (2023), the CAAI Service Computing Young Talent Award (2022), and the Outstanding Youth Award of Shandong Artificial Intelligence Science and Technology Award (2020).

Prof. Wang actively contributes to the academic community through roles such as Organizing Chair, Publicity Chair, and Publication Chair for various international conferences, and serves as a reviewer for several prestigious journals. She also participates in the peer review process as a panel reviewer for the National Natural Science Foundation of China, acts as a Shandong Provincial Science and Technology Commissioner, and provides expertise as a Corporate Technology Consultant.

Education

Ph.D. in Computer Science, Harbin Engineering University, China

Academic Appointments

  • Professor, School of Computer and Control Engineering, Yantai University (2023-Present)
  • Associate Professor, Yantai University (2017-2023)
  • Postdoctoral Researcher, South China University of Technology (2017-2020)
  • Lecturer, Yantai University (2015-2017)

Research Interests

Mobile Crowdsensing, Multi-space Crowd Intelligence, Service Computing, Networked Software, Artificial Intelligence

Social Service

Academic Appointments in Professional Organizations

  1. IEEE Senior Member; CCF Distinguished Member; Vice Chair of CCF YOCSEF Qingdao
  2. Publicity Chair and Diversity Chair, IEEE Technical Community on Services Computing (TCSVC)
  3. Standing Committee Member and Deputy Secretary-General, CCF Technical Committee on Service Computing
  4. Standing Committee Member, CAAI Technical Committee on Intelligent Service
  5. Executive Committee Member, CCF Technical Committee on Artificial Intelligence and Pattern Recognition
  6. Executive Committee Member, CCF Technical Committee on Pervasive Computing
  7. Executive Committee Member, CCF Technical Committee on Collaborative Computing
  8. Member, Young Professionals Group, IoT Expert Committee of Chinese Institute of Electronics
  9. Member, Space Information and Communication Technology Committee, China Command and Control Society
  10. Standing Director and Secretary-General, Standardization Working Committee of Shandong Artificial Intelligence Society
  11. Director, Shandong Computer Federation; Shandong Provincial Enterprise Science and Technology Commissioner; Vice Principal for Science, Yantai No. 2 High School
  12. Guest Editor, IEEE Transactions on Services Computing Special Issue (CCF A recommended journal)
  13. Editorial Board Member, VR and HCI Subcommittee, National Committee for Terminology in Computer Science and Technology

Invited Talks at International and Domestic Conferences

  1. 2025 International Conference on Satellite Computing, "Research on Theory and Technology of Multi-Space Crowd Sensing Computing", invited talk, 2025.11
  2. The 6th International Workshop on Information, Computation, and Control Systems for Distributed Environments (ICCS-DE 2024), "The Research of Multi-space Mobile Crowd Sensing and Service Computing", invited talk, 2024.07
  3. 2022 IEEE International Conference on Satellite Computing, "Optimization and Collaboration for Multi-spatial Crowd Sensing", invited talk, 2022.11
  4. CCF 16th International Conference on Service Science (ICSS), "The Research of Service Computing in Multi-space Crowd Sensing Networks", invited talk, 2023.05
  5. The 7th International Conference on New Trends in Computational Intelligence, "The Research of Multi-space Crowd Sensing Computing", invited talk, 2025.10
  6. The 9th China Intelligent Technology and Big Data Conference, "Research on Crowd Sensing Computing", invited talk, 2023.10
  7. The 18th ChineseCSCW Conference, Major Project Forum, "Distributed Crowd Intelligence for Human-Cyber-Physical Integration", invited talk, 2023.10
  8. CCF 2022 China Digital Service Conference, "Service Collaboration and Optimization for Multi-space Crowd Sensing", invited talk, 2022.08
  9. CCF 2025 China Digital Service Conference, Women Scientists Forum, "Multi-space Crowd Sensing Computing", invited talk, 2025.08
  10. The 17th ChineseCSCW Conference, Outstanding Young Scholars Forum, "Optimization and Collaboration for Multi-space Crowd Sensing", invited talk, 2022.11
  11. The 20th ChineseCSCW Conference, Major Key Project Forum, "Research on Multi-space Crowd Sensing Computing", invited talk, 2025.11
  12. The 1st CCF Conference on Evolutionary Computation, "Theory and Technology of Multi-space Crowd Sensing Computing", invited talk, 2025.11
  13. Aerospace-Sea Intelligent Equipment Industry-Education Integration Symposium, "Satellite Crowd Sensing Computing and Application Service Platform", invited talk, 2023.12
  14. The 4th Taishan Intelligent Industry Innovation and Development Conference, "Key Theories and Applications of Collaborative Crowd Sensing Computing", invited talk, 2023.12
  15. The 2nd Taishan Artificial Intelligence Industry Conference, "In the Age of AI: The Future Is Now", invited talk, 2021.12
  16. The 2nd Shandong Artificial Intelligence Conference, "Optimization and Incentive Mechanisms for Mobile Crowdsourcing in Crowd Sensing Networks", invited talk, 2019.07

Conference Leadership Roles

  1. Program Committee Chair, IEEE SSE 2026 (CCF C conference)
  2. Symposium Co-Chair, ICSOC 2025 (CCF B conference)
  3. Publicity Chair, IEEE ICWS 2024 (CCF B conference)
  4. Publicity Chair, WASA 2024 (CCF C conference)
  5. General Chair, IEEE EDGE 2024 iEDGE Symposium
  6. Organizing Chair, CCF China AI Conference 2021, on-site attendance 1000+, Yantai
  7. Organizing Chair, The 9th China Intelligent Service Technology and Big Data Conference 2023, on-site attendance 300+, Yantai
  8. Organizing Chair, CCF China Digital Service Conference 2025, on-site attendance 1000+, Yantai
  9. Organizing Chair, CCF China Digital Service Conference 2023/2024/2026
  10. Organizing Chair, CCF ICSS 2024
  11. Publication Chair, CCF ICSS 2023
  12. Publicity Chair, IPCCC 2021/2022
  13. Publicity Chair, CCF China Digital Service Conference 2022

Main Scientific Research Achievements

2026

  1. 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), 2026.
  2. Haojun Teng, Zhongwei Zhan, Yingjie Wang*, Wenhan Hou, Yiheng Pan, Kaile Su, Zhipeng Cai. Efficient Worker Recruitment Approach Based on Social Incentive Diffusion in Mobile Crowdsourcing, International Conference on Machine Intelligence Theory and Applications (MiTA), 2026.

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.
  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.
  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.
  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.
  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.
  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. 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.
  7. 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.
  8. 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.

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.
  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.
  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.
  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.
  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.

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.
  3. Qi Zhang, Yingjie Wang*, Zhipeng Cai, and Xiangrong Tong. Multi-stage Online Task Assignment 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.

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.
  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.
  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.

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.
  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.
  5. Faxin Qi, Xiangrong Tong, Lei Yu, Yingjie Wang. Personalized project recommendations: using reinforcement learning[J]. EURASIP Journal on Wireless Communications and Networking, 2019, 2019(1): 280.
  6. Xuan Wang, Jindong Zhao, Yingjie Wang, Jun Lyu, Weiqing Yan. Vehicle Feature Point Trajectory Clustering and Vehicle Behavior Analysis in Complex Traffic Scenes. International Conference on Internet of Things as a Service ( IoTaaS), 2019, 2019: 182 - 205.

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.
  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.
  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.

Grants & Projects

Led and Participated in Vertical Research Projects

  1. National Natural Science Foundation of China Major Research Plan Cultivation Project, Research on Trustworthy and Controllable Behavior Mechanisms for Human-Cyber-Physical Integrated Intelligent Software, 92582115, 2026.01-2028.12, Principal Investigator, 600,000 RMB
  2. National Natural Science Foundation of China General Program, Research on Task Allocation Optimization Mechanisms for Multi-space Crowdsensing, 62272405, 2023.01-2026.12, Principal Investigator, 540,000 RMB
  3. Shandong Provincial Natural Science Foundation Excellent Young Scientists Program, Key Theories and Applications of Crowdsensing Service Computing, ZR2024YQ002, 2025.01-2027.12, Principal Investigator, 500,000 RMB
  4. National Natural Science Foundation of China Youth Program, Research on Trust Mechanisms of Crowdsourcing Systems in Mobile Social Networks, 61502410, 2016.01-2018.12, Principal Investigator, 236,000 RMB
  5. Shandong Provincial University Youth Innovation Science and Technology Support Program, Research on Distributed Crowdsensing Collaboration Mechanisms in Edge Cloud Environment, 2022.01-2024.12, Principal Investigator, 500,000 RMB
  6. Shandong Provincial Natural Science Foundation General Program, Research on Crowdsensing Collaboration Mechanisms of Mobile Crowdsourcing in Edge Cloud Environment, ZR2022MF238, 2023.01-2025.12, Principal Investigator, 100,000 RMB
  7. The 12th Batch of China Postdoctoral Science Foundation Special Grant, Research on Privacy-Preserving Incentive Mechanisms in Mobile Crowdsensing, 2019T120732, 2019.06-2020.06, Principal Investigator, 180,000 RMB
  8. The 62nd Batch of China Postdoctoral Science Foundation General Grant, Research on Key Theories and Technologies of Mobile Crowdsourcing Systems in Crowdsensing Networks, 2017M622691, 2017.11-2019.06, Principal Investigator, 50,000 RMB
  9. Shandong Provincial Key R&D Program Project, 2022.11-2025.11, Project Leader, 2,000,000 RMB
  10. Yantai City Science and Technology Development Plan, Research and Application of Intelligent Real-time Prediction Technology for Offshore Oil Spill Diffusion Based on Satellite Remote Sensing Data, 2022XDRH023, 2022.01-2023.12, Principal Investigator, 400,000 RMB
  11. State Key Laboratory of Networking and Switching Technology Open Fund Project, Intelligent Scheduling and Resource Allocation Mechanisms for Edge Environments, SKLNST-2022-1-12, Principal Investigator, 30,000 RMB
  12. National Natural Science Foundation of China Youth Program, Research on Collaborative Defense Mechanisms against Interest Packet Flooding Attacks, 61702439, 2018.01-2020.12, Participant
  13. National Natural Science Foundation of China Youth Program, Research on Personalized Resource Recommendation and Localization in Peer-to-Peer Networks, 61602399, 2017.01-2019.12, Participant
  14. National Natural Science Foundation of China General Program, Research on Multi-strategy Trust Evolutionary Game Mechanisms for Internetware, 61272186, 2013.01-2017.12, Participant
  15. Shandong Provincial Natural Science Foundation General Program, Research on Globalized Dynamic Models of Network Information Propagation and Their Applications in Public Opinion Analysis, ZR2016FM42, 2017.01-2019.12, Participant
  16. Heilongjiang Provincial Natural Science Foundation, Research on Multi-strategy Trust Evolutionary Models for Internetware under Differentiated Services, 2011.09-2012.09, Participant
  17. Harbin Engineering University Major Scientific Research Project, Research on Wright-Fisher Multi-strategy Trust Evolutionary Models for Internetware under Differentiated Services, 2011.09-2012.01, Principal Investigator

Led Horizontal (Industry-Sponsored) Research Projects

  1. 2020.08-2021.01, Multi-dimensional Feature Extraction Technology for Navigation Radar Targets, Principal Investigator
  2. 2023.06-2024.06, Intelligent Operation and Maintenance System for Precision Time in Clock Internet Based on Crowdsensing, Principal Investigator

Honors & Awards

  1. 2025 Shandong Provincial Science and Technology Award, First Class Prize, Key Technologies and Applications of Autonomous Cooperative Control for Multi-space Heterogeneous Multi-agent Systems (2/15)
  2. 2023 Shandong Artificial Intelligence Natural Science Award, First Class Prize, Key Theories and Applications of Crowdsensing Collaborative Computing and Optimization (1/2)
  3. 2022 China Computer Federation Service Computing Young Talent Award
  4. 2021 Shandong Natural Science Award, Third Class Prize, Research on Trust Path Search and Its Application in Mobile Crowdsourcing Systems (2/4)
  5. 2021 Shandong Artificial Intelligence Society, Most Beautiful Science and Technology Worker
  6. 2020 Shandong Higher Education Science and Technology Award, Third Class Prize, Research on Key Theories and Technologies of Mobile Crowdsourcing Systems in Crowdsensing Networks (1/3)
  7. 2020 Shandong Artificial Intelligence Science and Technology Award, Outstanding Youth Award, Research on Key Issues of Mobile Crowdsourcing in Crowdsensing Environment (1/1)
  8. 2021 IEEE International Conference on Space-Air-Ground Computing, Paper Title: New Crowd Sensing Computing in Space-Air-Ground Integrated Networks, Best Paper Award
  9. 2025 International Conference on Satellite Computing, Paper Title: A Collaborative Task Scheduling Method for Heterogeneous LEO Satellite Networks Based on Mixed-strategy Game, International Conference on Satellite Computing Student Best Paper Award
  10. CCF 2023 China Digital Service Conference, Paper Title: Homomorphic Encryption and Edge Computing Based Personalized Privacy-Preserving Incentive Mechanism for Mobile Crowdsourcing, Best Paper Award
  11. 2023 Shandong Province Model Woman Worker for Meritorious Service
  12. 2023 Yantai City Most Beautiful Woman Striver
  13. 2019 Yantai University Science and Technology Progress Award, First Class Prize (1/1)
  14. 2019 Yantai University Outstanding Communist Party Member
  15. 2022 Yantai University March 8th Red Banner Pacesetter

Invention Patents

2026

  1. Wang Yingjie; Li Zhaoxiang; Sun Meimei; Teng Haojun; Hou Wenhan. An Adaptive Scheduling Method and System for Large-scale Earth Observation Tasks in Low Earth Orbit Satellites. CN 121523916 B
  2. Wang Yingjie; Ma Qingdian; Hou Wenhan; Sun Meimei; Teng Haojun. A Dynamic Vehicle Task Scheduling Method and System Based on Two-stage Differentiation and Multi-objective Optimization. CN 121616051 B

2025

  1. Wang Yingjie; Li Yifan; Gao Yang; Su Kaile; Tong Xiangrong; Cheng Xiang; Zhang Qiang; Sun Meimei. A Stackelberg Dynamic Heterogeneous Task Allocation Method and System for Crowdsensing. CN120655068B
  2. Wang Yingjie; Luo Dihong; Cheng Xiang; Teng Haojun; Hou Wenhan; An Maoguo; Gao Yang; Sun Meimei. A Crowdsensing Task Scheduling Method and System Based on Multi-space Modeling and Fairness-enhanced Reinforcement Learning. CN120069491B
  3. Wang Yingjie; Luo Dihong; Teng Haojun; Sun Meimei; Pan Qingxian; Tong Xiangrong; Ma Wenming. A Mobile Crowdsourcing Strategy Optimization Method and System Based on Multi-objective Optimization. CN119204625B
  4. Wang Yingjie; Li Yahong; Teng Haojun; Wang Haipeng; Gao Yang; An Maoguo; Liu Zhizhong; Zhao Xiangfu. A Regional Classification Method and System for Crowdsourcing Environments with Multi-level Task Allocation. CN119180477B
  5. Wang Yingjie; Wang Long; Teng Haojun; Gao Yang; Wang Haipeng; Zhao Xiangfu; Liu Zhizhong; Duan Peiyong; Jiao Xiuzhen. A Cooperative Mode Incentive Method and System Based on Stackelberg Game. CN119204083B
  6. Wang Yingjie; Jin Shilong; Duan Peiyong; Teng Haojun; Sun Meimei; Liu Hao; Liu Zhizhong; Zhao Xiangfu. A Heterogeneous Task Optimization Method and System Based on Multi-agent Game Adversarial Learning. CN119139704B

2024

  1. Yingjie Wang, Ying Zhao, Zhaowei Liu, Peiyong Duan. CONTROL METHOD, SYSTEM AND DEVICE WITH EDGE CLOUD SERVICE STABILITY. 20240272951
  2. Wang Yingjie; Sun Xuelei; An Maoguo; Gao Yang; Wang Haiyang; Tong Xiangrong; Liu Zhizhong; Wang Peng. A Privacy-Preserving Worker Selection Method and System for Multi-task Scenarios. CN118660289B
  3. Wang Yingjie; Zhan Zhongwei; Cheng Xiang; Duan Peiyong; Qi Lianyong; Zhang Qiang; Tong Xiangrong; Pan Qingxian. A Worker Recruitment Method and System Based on Social Recommendation and Trust Prediction. CN118552168B
  4. Wang Yingjie; Li Yingxin; Gao Yang; Tong Xiangrong; Zhang Qiang; Qiu Xuqiang; Duan Peiyong; Wang Peng; Teng Haojun. A Knowledge Distillation-based Distributed Text-to-Image Generation Method and System for Mobile Crowdsourcing. CN118520977B
  5. Wang Yingjie; Zhan Zhongwei; Duan Peiyong; Tong Xiangrong; Wang Peng. A Worker Recruitment Method and System Based on Trust Evaluation Framework and Tabu Search. CN117474509B
  6. Wang Yingjie; Sun Xuelei; Gao Yang; Pang Jinwei. A Two-party Privacy-Preserving Method and System Based on Federated Learning and Edge Computing. CN117473559B
  7. Wang Yingjie; Li Yahong; Duan Peiyong; Liu Zhaowei; Wang Peng; Pang Jinwei. A Multi-stage Task Allocation Method, System, Device, and Medium for Crowdsourcing Environments. CN117455200B
  8. Wang Yingjie; Li Yingxin; Gao Yang; Liu Zhaowei; Wang Peng; Tong Xiangrong; Liu Zhizhong; Cui Zhendong. A Task Allocation Method, System, Device, and Storage Medium Based on Worker Preferences. CN117422266B
  9. Wang Yingjie; Jin Shilong; Liu Zhaowei; Duan Peiyong; Liu Zhizhong; Tong Xiangrong; Song Yongchao. An Attack Method, System, Device, and Storage Medium for Unmanned Surface Vehicle Swarms. CN117313972B

2023

  1. Wang Yingjie; Zhao Ying; Liu Zhaowei; Duan Peiyong. A Control Method, System, and Device for Edge Cloud Service Stability. CN116055490B
  2. Wang Peng; Wang Yingjie; Gao Yang; Li Yingxin; Chen Yue; Zhao Kaiwen. A Multi-objective Task Allocation Method Based on Spatio-temporal Crowdsourcing. CN116976652B

Major Teaching Achievements

  1. 2025 Shandong Provincial Higher Education Teaching Achievement Award, Demand-Oriented, Project-Driven, Ecosystem-Empowered: Construction and Practice of Industry-Education Collaborative Training Model for Professional Degree Graduate Students, First Class Prize, 6/15
  2. 2025 Shandong Provincial Higher Education Teaching Achievement Award, Digital-Intelligence Empowerment, Innovation-Driven, Industry-Education Integration: Exploration and Practice of Artificial Intelligence Talent Training Model, Second Class Prize, 9/15
  3. 2021 Shandong Provincial Higher Education Teaching Achievement Award, Curriculum Reform, Industry-Education Integration, Top-notch Innovation: Exploration and Practice of "Three-Three-Three" Application-Oriented Talent Training Model, Second Class Prize, 7/9
  4. 2025 Shandong Provincial Graduate Education Teaching Reform Research Project, Major Project, Construction and Practice of Graduate Training System Serving the Development of Green, Low-Carbon, and High-Quality Development Pilot Zone, 5/10
  5. 2024 Shandong Provincial Graduate Education Teaching Reform Research Project, Key Project, Research on Collaborative and Integrated Development Strategies for Discipline Connotation Construction and Degree Program Construction in Local Universities in the New Era, 2/5
  6. 2024 Shandong Provincial Graduate Innovation Achievement Award, Research on Trustworthy Mechanisms for Task Allocation in Crowdsensing Based on Multi-strategy Game, Supervisor
  7. 2021 Shandong Provincial Graduate Outstanding Achievement Award, Second Class Prize, Research on Privacy-Preserving Incentive Mechanisms in Mobile Crowdsensing under Edge Cloud Environment, Supervisor
  8. The 6th Yantai University Young Teachers Teaching Competition, Second Prize
  9. 2020 Yantai University Teaching Quality Award

Graduate Student Supervision

Currently supervising 12 graduate students, with 25 graduates. Among them, 1 student received the Second Class Prize of Shandong Provincial Graduate Outstanding Achievement Award, 1 student received the Third Class Prize of Shandong Provincial Graduate Outstanding Achievement Award, 1 student received the Outstanding Master's Thesis Award from Shandong Computer Federation, 3 students received the National Scholarship, 4 students were admitted as PhD candidates at Southeast University, 2 students were admitted as PhD candidates at Beijing University of Posts and Telecommunications, 1 student was admitted as a PhD candidate at Harbin Engineering University, and 1 student was admitted as a PhD candidate at Tianjin University.

Contact

Email: wangyingjie@ytu.edu.cn