Ning Yang

According to our database, Ning Yang authored at least 32 papers between 2018 and 2026.

Collaborative distances:

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

2026

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration.

Ning Yang, Hengyu Zhong, Wentao Wang, Baoliang Tian, Haijun Zhang, Jun Wang

CoRR, April, 2026

Distributed AI for Emerging Spectrum Management Technologies in 6G Networks.

Jialin Xing, Ning Yang, Haijun Zhang, Zijun Wu, Chen Sun, Haojin Li

IEEE Netw., January, 2026

Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring.

Dongxu Zhang, Yiding Sun, Cheng Tan, Wenbiao Yan, Ning Yang, Jihua Zhu, Haijun Zhang

CoRR, January, 2026

FedDM: Federated Learning Incorporating Dissimilarity Measure for Mobile Edge Computing Systems.

Ning Yang, Xin Yuan, Hai Lin, Haijun Zhang, Pin Lv, Jun Wang

IEEE Trans. Cogn. Commun. Netw., 2026

Decision-Making Large Language Model for Wireless Communication: A Comprehensive Survey on Key Techniques.

Ning Yang, Mingrui Fan, Wentao Wang, Haijun Zhang

IEEE Commun. Surv. Tutorials, 2026

Proactive Constrained Policy Optimization with Preemptive Penalty.

Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lyu, Jun Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution.

Baoliang Tian, Yuxuan Si, Jilong Wang, Lingyao Li, Zhongyuan Bao, Zineng Zhou, Tao Wang, Sixu Li, Ziyao Xu, Mingze Wang, Zhouzhuo Zhang, Zhihao Wang, Yike Yun, Ke Tian, Ning Yang, Minghui Qiu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Vision-LLMs for Spatiotemporal Traffic Forecasting.

Ning Yang, Hengyu Zhong, Haijun Zhang, Randall Berry

CoRR, October, 2025

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression.

Peijun Zhu, Ning Yang, Jiayu Wei, Jinghang Wu, Haijun Zhang

CoRR, October, 2025

Minimizing AoI in Mobile Edge Computing: Nested Index Policy with Preemptive and Non-preemptive Structure.

Ning Yang, Yibo Liu, Shuo Chen, Meng Zhang, Haijun Zhang

CoRR, August, 2025

ASCoT: An Adaptive Self-Correction Chain-of-Thought Method for Late-Stage Fragility in LLMs.

Dongxu Zhang, Ning Yang, Jihua Zhu, Jinnan Yang, Miao Xin, Baoliang Tian

CoRR, August, 2025

Proactive Constrained Policy Optimization with Preemptive Penalty.

Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lv, Jun Wang

CoRR, August, 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

Token-Importance Guided Direct Preference Optimization.

Ning Yang, Hai Lin, Yibo Liu, Baoliang Tian, Guoqing Liu, Haijun Zhang

CoRR, May, 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

Generalizable Pareto-Optimal Offloading With Reinforcement Learning in Mobile Edge Computing.

Ning Yang, Junrui Wen, Meng Zhang, Ming Tang

IEEE Trans. Serv. Comput., 2025

Toward Intelligent Space-Air-Ground Integrated Network: Architecture, Challenges, and Emerging Directions.

Lina Wang, Mingrui Fan, Ning Yang, Xu Ma, Yan Liang, Haijun Zhang

J. Commun. Inf. Networks, 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

Token-level Direct Preference Optimization.

Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang

Proceedings of the Forty-first International Conference on Machine Learning, 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