Ruichen Zhang

Orcid: 0009-0004-2429-1532

According to our database1, Ruichen Zhang authored at least 27 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sum Rate Maximization in Multi-Cell Multi-User Networks: An Inverse Reinforcement Learning-Based Approach.
IEEE Wirel. Commun. Lett., January, 2024

Interactive AI with Retrieval-Augmented Generation for Next Generation Networking.
CoRR, 2024

2023
Re-directing socialist persuasion through affective reiteration: a discourse analysis of 'Socialist Memes' on the Chinese internet.
AI Soc., October, 2023

Special Issue: Iteration and persuasion as key conditions of digital societies.
AI Soc., October, 2023

Deep Reinforcement Learning for Secrecy Energy Efficiency Maximization in RIS-Assisted Networks.
IEEE Trans. Veh. Technol., September, 2023

Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-Based Approach.
IEEE Wirel. Commun. Lett., July, 2023

Energy Efficiency Maximization in RIS-Assisted SWIPT Networks With RSMA: A PPO-Based Approach.
IEEE J. Sel. Areas Commun., May, 2023

SRI3D: Two-stream inflated 3D ConvNet based on sparse regularization for action recognition.
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.
Fuzzy Optim. Decis. Mak., March, 2023

Application of the Fourier Series Expansion Method for the Inversion of Gravity Gradients using Gravity Anomalies.
Remote. Sens., January, 2023

Perceptual Similarity guidance and text guidance optimization for Editing Real Images using Guided Diffusion Models.
CoRR, 2023

User-Centric Interactive AI for Distributed Diffusion Model-based AI-Generated Content.
CoRR, 2023

Generative AI for Space-Air-Ground Integrated Networks (SAGIN).
CoRR, 2023

Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.
CoRR, 2023

Generative AI-enabled Vehicular Networks: Fundamentals, Framework, and Case Study.
CoRR, 2023

Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks.
CoRR, 2023

Using SHAP to Measure Interpretability of Neuronal Feature Visualization.
Proceedings of the 16th International Symposium on Visual Information Communication and Interaction, 2023

User Cooperation with Power Control for Federated Learning in CFmMIMO Networks.
Proceedings of the IEEE International Conference on Communications, 2023

EFPNet: Effective Fusion Pyramid Network for Tiny Person Detection in UAV Images.
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.
IEEE J. Sel. Areas Commun., 2022

Inverse Reinforcement Learning Meets Power Allocation in Multi-user Cellular Networks.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Q-Learning-Based Adaptive Power Control in Wireless RF Energy Harvesting Heterogeneous Networks.
IEEE Syst. J., 2021

RSPCN: Super-Resolution of Digital Elevation Model Based on Recursive Sub-Pixel Convolutional Neural Networks.
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.
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.
Appl. Intell., 2021

2020
Validation and Diagnostic Performance of a CFD-Based Non-invasive Method for the Diagnosis of Aortic Coarctation.
Frontiers Neuroinformatics, 2020

2018
Multiple-attribute decision-making method based on the correlation coefficient between dual hesitant fuzzy linguistic term sets.
Knowl. Based Syst., 2018


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