Ruichen Zhang

According to our database, Ruichen Zhang authored at least 41 papers between 2018 and 2024.

Collaborative distances:

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

2024

Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission.

Ruichen Zhang, Hongyang Du, Yinqiu Liu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Dong In Kim

IEEE J. Sel. Areas Commun., December, 2024

Interactive AI With Retrieval-Augmented Generation for Next Generation Networking.

Ruichen Zhang, Hongyang Du, Yinqiu Liu, Dusit Niyato, Jiawen Kang, Sumei Sun, Xuemin Shen, H. Vincent Poor

IEEE Netw., November, 2024

Entangled Optical Quantum Imaging Method Assisted by AUVs Based on Underwater Light Transmission Characteristics.

Jingyang Cao, Mu Zhou, Dusit Niyato, Ruichen Zhang, Wei Nie

IEEE Trans. Veh. Technol., October, 2024

SWIPT-Enabled Cell-Free Massive MIMO-NOMA Networks: A Machine Learning-Based Approach.

Ruichen Zhang, Ke Xiong, Yang Lu, Derrick Wing Kwan Ng, Pingyi Fan, Khaled Ben Letaief

IEEE Trans. Wirel. Commun., July, 2024

Generative AI-Enabled Vehicular Networks: Fundamentals, Framework, and Case Study.

Ruichen Zhang, Ke Xiong, Hongyang Du, Dusit Niyato, Jiawen Kang, Xuemin Shen, H. Vincent Poor

IEEE Netw., July, 2024

From Propaganda to Memes: Resignification of Political Discourse Through Memes on the Chinese Internet.

Ruichen Zhang, Bo Kang

Int. J. Hum. Comput. Interact., June, 2024

Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks.

Hongyang Du, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin Shen, H. Vincent Poor

IEEE Netw., May, 2024

Sum Rate Maximization in Multi-Cell Multi-User Networks: An Inverse Reinforcement Learning-Based Approach.

Xingcong Tian, Ke Xiong, Ruichen Zhang, Pingyi Fan, Dusit Niyato, Khaled Ben Letaief

IEEE Wirel. Commun. Lett., January, 2024

FairSkin: Fair Diffusion for Skin Disease Image Generation.

Ruichen Zhang, Yuguang Yao, Zhen Tan, Zhiming Li, Pan Wang, Huan Liu, Jingtong Hu, Sijia Liu, Tianlong Chen

CoRR, 2024

Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach.

Jian Liu, Ming Xiao, Jinbo Wen, Jiawen Kang, Ruichen Zhang, Tao Zhang, Dusit Niyato, Weiting Zhang, Ying Liu

CoRR, 2024

Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach.

Jiakang Zheng, Jiayi Zhang, Hongyang Du, Ruichen Zhang, Dusit Niyato, Octavia A. Dobre, Bo Ai

CoRR, 2024

Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts.

Ruichen Zhang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Ping Zhang, Dong In Kim

CoRR, 2024

Generative AI for Low-Carbon Artificial Intelligence of Things.

Jinbo Wen, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Hongyang Du, Yang Zhang, Zhu Han

CoRR, 2024

Interactive Generative AI Agents for Satellite Networks through a Mixture of Experts Transmission.

Ruichen Zhang, Hongyang Du, Yinqiu Liu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Dong In Kim

CoRR, 2024

Generative AI Agent for Next-Generation MIMO Design: Fundamentals, Challenges, and Vision.

Zhe Wang, Jiayi Zhang, Hongyang Du, Ruichen Zhang, Dusit Niyato, Bo Ai, Khaled B. Letaief

CoRR, 2024

Defining Problem from Solutions: Inverse Reinforcement Learning (IRL) and Its Applications for Next-Generation Networking.

Yinqiu Liu, Ruichen Zhang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim

CoRR, 2024

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.

Hongyang Du, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Yijing Lin, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shuguang Cui, Bo Ai, Haibo Zhou, Dong In Kim

IEEE Commun. Surv. Tutorials, 2024

Reinforcement Learning with Large Language Models (LLMs) Interaction for Network Services.

Hongyang Du, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim

Proceedings of the International Conference on Computing, Networking and Communications, 2024

2023

Re-directing socialist persuasion through affective reiteration: a discourse analysis of 'Socialist Memes' on the Chinese internet.

Ruichen Zhang

AI Soc., October, 2023

Special Issue: Iteration and persuasion as key conditions of digital societies.

Clare Foster, Ruichen Zhang

AI Soc., October, 2023

Deep Reinforcement Learning for Secrecy Energy Efficiency Maximization in RIS-Assisted Networks.

Yichi Zhang, Yang Lu, Ruichen Zhang, Bo Ai, Dusit Niyato

IEEE Trans. Veh. Technol., September, 2023

Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-Based Approach.

Yuhang Li, Yang Lu, Ruichen Zhang, Bo Ai, Zhangdui Zhong

IEEE Wirel. Commun. Lett., July, 2023

Energy Efficiency Maximization in RIS-Assisted SWIPT Networks With RSMA: A PPO-Based Approach.

Ruichen Zhang, Ke Xiong, Yang Lu, Pingyi Fan, Derrick Wing Kwan Ng, Khaled B. Letaief

IEEE J. Sel. Areas Commun., May, 2023

SRI3D: Two-stream inflated 3D ConvNet based on sparse regularization for action recognition.

Zhaoqilin Yang, Gaoyun An, Ruichen Zhang, Zhenxing Zheng, Qiuqi Ruan

IET Image Process., April, 2023

ELECTRE II method based on the cosine similarity to evaluate the performance of financial logistics enterprises under double hierarchy hesitant fuzzy linguistic environment.

Ruichen Zhang, Zeshui Xu, Xunjie Gou

Fuzzy Optim. Decis. Mak., March, 2023

Application of the Fourier Series Expansion Method for the Inversion of Gravity Gradients using Gravity Anomalies.

Bei Liu, Shaofeng Bian, Bing Ji, Shuguang Wu, Pengfei Xian, Cheng Chen, Ruichen Zhang

Remote. Sens., January, 2023

Perceptual Similarity guidance and text guidance optimization for Editing Real Images using Guided Diffusion Models.

Ruichen Zhang

CoRR, 2023

User-Centric Interactive AI for Distributed Diffusion Model-based AI-Generated Content.

Hongyang Du, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shuguang Cui, Xuemin Shen, Dong In Kim

CoRR, 2023

Generative AI for Space-Air-Ground Integrated Networks (SAGIN).

Ruichen Zhang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Ping Zhang, Dong In Kim

CoRR, 2023

Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.

Hongyang Du, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Yijing Lin, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shuguang Cui, Bo Ai, Haibo Zhou, Dong In Kim

CoRR, 2023

Using SHAP to Measure Interpretability of Neuronal Feature Visualization.

Lei Yang, Zhipeng Liu, Ruichen Zhang, Haiyu Shen, Yijing Tan, Jian Zhang, Chao Liu, Fangfang Zhou, Ying Zhao

Proceedings of the 16th International Symposium on Visual Information Communication and Interaction, 2023

User Cooperation with Power Control for Federated Learning in CFmMIMO Networks.

Han Bao, Ke Xiong, Ruichen Zhang, Pingyi Fan, Dusit Niyato, Khaled Ben Letaief

Proceedings of the IEEE International Conference on Communications, 2023

EFPNet: Effective Fusion Pyramid Network for Tiny Person Detection in UAV Images.

Ruichen Zhang, Qiong Liu, Kejun Wu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Joint Coordinated Beamforming and Power Splitting Ratio Optimization in MU-MISO SWIPT-Enabled HetNets: A Multi-Agent DDQN-Based Approach.

Ruichen Zhang, Ke Xiong, Yang Lu, Bo Gao, Pingyi Fan, Khaled Ben Letaief

IEEE J. Sel. Areas Commun., 2022

Inverse Reinforcement Learning Meets Power Allocation in Multi-user Cellular Networks.

Ruichen Zhang, Ke Xiong, Xingcong Tian, Yang Lu, Pingyi Fan, Khaled Ben Letaief

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Q-Learning-Based Adaptive Power Control in Wireless RF Energy Harvesting Heterogeneous Networks.

Ruichen Zhang, Ke Xiong, Wei Guo, Xi Yang, Pingyi Fan, Khaled Ben Letaief

IEEE Syst. J., 2021

RSPCN: Super-Resolution of Digital Elevation Model Based on Recursive Sub-Pixel Convolutional Neural Networks.

Ruichen Zhang, Shao-feng Bian, Houpu Li

ISPRS Int. J. Geo Inf., 2021

A multi-attribute decision-making framework for Chinese medicine medical diagnosis with correlation measures under double hierarchy hesitant fuzzy linguistic environment.

Ruichen Zhang, Xunjie Gou, Zeshui Xu

Comput. Ind. Eng., 2021

An integrated method for multi-criteria decision-making based on the best-worst method and Dempster-Shafer evidence theory under double hierarchy hesitant fuzzy linguistic environment.

Ruichen Zhang, Zeshui Xu, Xunjie Gou

Appl. Intell., 2021

2020

Validation and Diagnostic Performance of a CFD-Based Non-invasive Method for the Diagnosis of Aortic Coarctation.

Qiyang Lu, Weiyuan Lin, Ruichen Zhang, Rui Chen, Xiaoyu Wei, Tingyu Li, Zhicheng Du, Zhaofeng Xie, Zhuliang Yu, Xinzhou Xie, Hui Liu

Frontiers Neuroinformatics, 2020

2018

Multiple-attribute decision-making method based on the correlation coefficient between dual hesitant fuzzy linguistic term sets.

Ruichen Zhang, Zongmin Li, Huchang Liao

Knowl. Based Syst., 2018