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Zhaoming Hu
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2020 – today
- 2024
- [j13]Zhaoming Hu, Chao Fang, Zhuwei Wang, Shu-Ming Tseng, Mianxiong Dong:
Many-Objective Optimization-Based Content Popularity Prediction for Cache-Assisted Cloud-Edge-End Collaborative IoT Networks. IEEE Internet Things J. 11(1): 1190-1200 (2024) - [j12]Zhaoming Hu, Ruikang Zhong, Chao Fang, Yuanwei Liu:
Caching-at-STARS: The Next Generation Edge Caching. IEEE Trans. Wirel. Commun. 23(8): 8372-8387 (2024) - [j11]Zhaoming Hu, Chao Fang, Ruikang Zhong, Yuanwei Liu:
Joint Physical and Network Layers Design for STARS-Assisted Multi-Cellular Edge Caching. IEEE Trans. Wirel. Commun. 23(11): 17446-17460 (2024) - 2023
- [j10]Chao Fang, Zhaoming Hu, Xiangheng Meng, Shanshan Tu, Zhuwei Wang, Deze Zeng, Wei Ni, Song Guo, Zhu Han:
DRL-Driven Joint Task Offloading and Resource Allocation for Energy-Efficient Content Delivery in Cloud-Edge Cooperation Networks. IEEE Trans. Veh. Technol. 72(12): 16195-16207 (2023) - [c2]Zhaoming Hu, Ruikang Zhong, Chao Fang, Yuanwei Liu:
Exploiting Caching-at-STARS: Joint Caching Replacement and Hybrid Beamforming. GLOBECOM 2023: 5031-5036 - [c1]Chao Fang, Xiangheng Meng, Zhaoming Hu, Xiaoping Yang, Fangmin Xu, Peng Li, Mianxiong Dong:
DRL-Based Green Task Offloading for Content Distribution in NOMA-Enabled Cloud-Edge-End Cooperation Environments. ICC 2023: 6126-6131 - [i1]Zhaoming Hu, Ruikang Zhong, Chao Fang, Yuanwei Liu:
Caching-at-STARS: the Next Generation Edge Caching. CoRR abs/2308.00562 (2023) - 2022
- [j9]Chao Fang, Hang Xu, Yihui Yang, Zhaoming Hu, Shanshan Tu, Kaoru Ota, Zheng Yang, Mianxiong Dong, Zhu Han, F. Richard Yu, Yunjie Liu:
Deep-Reinforcement-Learning-Based Resource Allocation for Content Distribution in Fog Radio Access Networks. IEEE Internet Things J. 9(18): 16874-16883 (2022) - [j8]Chao Fang, Xiangheng Meng, Zhaoming Hu, Fangmin Xu, Deze Zeng, Mianxiong Dong, Wei Ni:
AI-Driven Energy-Efficient Content Task Offloading in Cloud-Edge-End Cooperation Networks. IEEE Open J. Comput. Soc. 3: 162-171 (2022) - [j7]Chao Fang, Tianyi Zhang, Jingjing Huang, Hang Xu, Zhaoming Hu, Yihui Yang, Zhuwei Wang, Zequan Zhou, Xiling Luo:
A DRL-Driven Intelligent Optimization Strategy for Resource Allocation in Cloud-Edge-End Cooperation Environments. Symmetry 14(10): 2120 (2022) - [j6]Zhihua Cui, Zhixia Zhang, Zhaoming Hu, Shaojin Geng, Jinjun Chen:
A Many-Objective Optimization Based Intelligent High Performance Data Processing Model for Cyber-Physical-Social Systems. IEEE Trans. Netw. Sci. Eng. 9(6): 3825-3834 (2022) - 2021
- [j5]Jialei Xu, Zhixia Zhang, Zhaoming Hu, Lei Du, Xingjuan Cai:
A many-objective optimized task allocation scheduling model in cloud computing. Appl. Intell. 51(6): 3293-3310 (2021) - [j4]Zhihua Cui, Peng Zhao, Zhaoming Hu, Xingjuan Cai, Wensheng Zhang, Jinjun Chen:
An improved matrix factorization based model for many-objective optimization recommendation. Inf. Sci. 579: 1-14 (2021) - [j3]Zhaoming Hu, Yang Lan, Zhixia Zhang, Xingjuan Cai:
A Many-objective Particle Swarm Optimization Algorithm Based on Multiple Criteria for Hybrid Recommendation System. KSII Trans. Internet Inf. Syst. 15(2): 442-460 (2021) - 2020
- [j2]Xingjuan Cai, Zhaoming Hu, Peng Zhao, Wensheng Zhang, Jinjun Chen:
A hybrid recommendation system with many-objective evolutionary algorithm. Expert Syst. Appl. 159: 113648 (2020) - [j1]Xingjuan Cai, Zhaoming Hu, Jinjun Chen:
A many-objective optimization recommendation algorithm based on knowledge mining. Inf. Sci. 537: 148-161 (2020)
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