Yijing Ren

According to our database, Yijing Ren authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Path Planning Optimization Based Interference Awareness for Mobile Robots in mmWave Multi Cell Networks.

Yijing Ren, Vasilis Friderikos

IEEE Trans. Veh. Technol., September, 2024

RIS-Assisted Simultaneous Legitimate Monitoring and Jamming for Industrial Wireless Networks.

Likang Zhang, Qinghe Du, Yijing Ren, Xiao Tang, Maged Elkashlan, Zhu Han

CoRR, 2024

Interference aware path planning for mobile robots under joint communication and sensing in mmWave networks.

Yijing Ren, Vasilis Friderikos

Comput. Commun., 2024

Task Demand Oriented Lite Edge Communications for IoT.

Junying Zhang, Qinghe Du, Yijing Ren, Shijiao Zhang, Hancong Zheng, Xueyong Wei, Yonghong Qi, Yuhao Zhang

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Pareto Optimal Task Offloading and Mobile Robots Paths in Edge Cloud Assisted mmWave Networks.

Yijing Ren, Vasilis Friderikos

Proceedings of the 35th IEEE International Symposium on Personal, 2024

Hybrid NOMA for Time-Sensitive Wireless Federated Learning Through Lyapunov Optimization Based Resource Scheduling.

Changxiang Wu, Yijing Ren, Daniel K. C. So

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Energy-Efficient User-Edge Association and Resource Allocation for NOMA-Based Hierarchical Federated Learning: A Long-Term Perspective.

Yijing Ren, Changxiang Wu, Daniel K. C. So

Proceedings of the IEEE International Conference on Communications, 2024

2023

PromotionLens: Inspecting Promotion Strategies of Online E-commerce via Visual Analytics.

Chenyang Zhang, Xiyuan Wang, Chuyi Zhao, Yijing Ren, Tianyu Zhang, Zhenhui Peng, Xiaomeng Fan, Xiaojuan Ma, Quan Li

IEEE Trans. Vis. Comput. Graph., 2023

Interference Aware Path Planning of Mobile Robots in mmWave Networks under Joint Communication and Sensing.

Yijing Ren, Vasilis Friderikos

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Adaptive User Scheduling and Resource Allocation in Wireless Federated Learning Networks: A Deep Reinforcement Learning Approach.

Changxiang Wu, Yijing Ren, Daniel K. C. So

Proceedings of the IEEE International Conference on Communications, 2023

Joint Edge Association and Aggregation Frequency for Energy-Efficient Hierarchical Federated Learning by Deep Reinforcement Learning.

Yijing Ren, Changxiang Wu, Daniel K. C. So

Proceedings of the IEEE International Conference on Communications, 2023

2022

PromotionLens: Inspecting Promotion Strategies of Online E-commerce via Visual Analytics.

Chenyang Zhang, Xiyuan Wang, Chuyi Zhao, Yijing Ren, Tianyu Zhang, Zhenhui Peng, Xiaomeng Fan, Quan Li

CoRR, 2022

Interference Aware Path Planning for Mobile Robots in mmWave Multi Cell Networks.

Yijing Ren, Vasilis Friderikos

Proceedings of the 96th Vehicular Technology Conference, 2022

A Theoretical Loss Estimation Method for Distribution Network Based on Typical Equivalent Load Distribution Curve.

Yuxi Wang, Xuekai Zhang, Li Zhang, Yijing Ren, Xinyan Su, Chenhao Ying

Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

2021

Deep Reinforcement Learning Based Computation Offloading in Fog Enabled Industrial Internet of Things.

Yijing Ren, Yaohua Sun, Mugen Peng

IEEE Trans. Ind. Informatics, 2021

Harmonizing Artificial Intelligence with Radio Access Networks: Advances, Case Study, and Open Issues.

Yaohua Sun, Mugen Peng, Yijing Ren, Li Chen, Li Yu, Shiqiang Suo

IEEE Netw., 2021

Software Design of Shared Cabinet System Based on Raspberry Pi.

Yijing Ren, Ling Long

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2017

Chaos Prediction of Fast Fading Channel of Multi-rates Digital Modulation Using Support Vector Machines.

Yijing Ren, Ren Ren

Proceedings of the Cloud Computing and Security - Third International Conference, 2017