Ning Yang

According to our database, Ning Yang authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

Enhancing Efficiency and Propulsion in Bio-mimetic Robotic Fish through End-to-End Deep Reinforcement Learning.

Xinyu Cui, Boai Sun, Yi Zhu, Ning Yang, Haifeng Zhang, Weicheng Cui, Dixia Fan, Jun Wang

CoRR, June, 2025

ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization.

Yongcheng Zeng, Xinyu Cui, Xuanfa Jin, Guoqing Liu, Zexu Sun, Quan He, Dong Li, Ning Yang, Jianye Hao, Haifeng Zhang, Jun Wang

CoRR, February, 2025

Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, Its Applications, and Future Research Trajectories.

Ning Yang, Shuo Chen, Haijun Zhang, Randall Berry

IEEE Commun. Surv. Tutorials, February, 2025

Mean Field Correlated Imitation Learning.

Zhiyu Zhao, Chengdong Ma, Qirui Mi, Ning Yang, Xue Yan, Mengyue Yang, Haifeng Zhang, Jun Wang, Yaodong Yang

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Age-minimal Multicast by Graph Attention Reinforcement Learning.

Yanning Zhang, Guocheng Liao, Shengbin Cao, Ning Yang, Meng Zhang

CoRR, 2024

Correlated Mean Field Imitation Learning.

Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang

CoRR, 2024

2023

Multi-objective Deep Reinforcement Learning for Mobile Edge Computing.

Ning Yang, Junrui Wen, Meng Zhang, Ming Tang

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach.

Shuo Chen, Ning Yang, Meng Zhang, Jun Wang

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

2022

Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach.

Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang

CoRR, 2022

2021

Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach.

Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang

Proceedings of the IEEE Global Communications Conference, 2021

2020

Power Control Based on Deep Reinforcement Learning for Spectrum Sharing.

Haijun Zhang, Ning Yang, Wei Huangfu, Keping Long, Victor C. M. Leung

IEEE Trans. Wirel. Commun., 2020

Deep Neural Network for Resource Management in NOMA Networks.

Ning Yang, Haijun Zhang, Keping Long, Hung-Yun Hsieh, Jiangchuan Liu

IEEE Trans. Veh. Technol., 2020

Partially Observable Multi-Agent Deep Reinforcement Learning for Cognitive Resource Management.

Ning Yang, Haijun Zhang, Randall Berry

Proceedings of the IEEE Global Communications Conference, 2020

2018

Secure Communications in NOMA System: Subcarrier Assignment and Power Allocation.

Haijun Zhang, Ning Yang, Keping Long, Miao Pan, George K. Karagiannidis, Victor C. M. Leung

IEEE J. Sel. Areas Commun., 2018

Spectrum Management Scheme in Fog IoT Networks.

Ning Yang, Haijun Zhang, Keping Long, Chunxiao Jiang, Yang Yang

IEEE Commun. Mag., 2018

Energy Efficient Resource Allocation for Secure NOMA Networks.

Haijun Zhang, Ning Yang, Keping Long, Miao Pan, George K. Karagiannidis, Arumugam Nallanathan

Proceedings of the 87th IEEE Vehicular Technology Conference, 2018