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

H. Du, R. Zhang, Y. Liu, J. Wang, Y. Lin, Z. Li, D. Niyato, J. Kang, Z. Xiong, S. Cui, B. Ai, H. Zhou, and D. Kim. CoRR, (2023)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Yan Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Q-Learning-Based Adaptive Power Control in Wireless RF Energy Harvesting Heterogeneous Networks.R. Zhang, K. Xiong, W. Guo, X. Yang, P. Fan, and K. Letaief. IEEE Syst. J., 15 (2): 1861-1872 (2021)Deep Reinforcement Learning for Secrecy Energy Efficiency Maximization in RIS-Assisted Networks.Y. Zhang, Y. Lu, R. Zhang, B. Ai, and D. Niyato. IEEE Trans. Veh. Technol., 72 (9): 12413-12418 (September 2023)Using SHAP to Measure Interpretability of Neuronal Feature Visualization.L. Yang, Z. Liu, R. Zhang, H. Shen, Y. Tan, J. Zhang, C. Liu, F. Zhou, and Y. Zhao. VINCI, page 30:1-30:3. ACM, (2023)Generative AI-enabled Vehicular Networks: Fundamentals, Framework, and Case Study.R. Zhang, K. Xiong, H. Du, D. Niyato, J. Kang, X. Shen, and H. Poor. CoRR, (2023)Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks.H. Du, R. Zhang, D. Niyato, J. Kang, Z. Xiong, D. Kim, X. Shen, and H. Poor. CoRR, (2023)Generative AI for Space-Air-Ground Integrated Networks (SAGIN).R. Zhang, H. Du, D. Niyato, J. Kang, Z. Xiong, A. Jamalipour, P. Zhang, and D. Kim. CoRR, (2023)SRI3D: Two-stream inflated 3D ConvNet based on sparse regularization for action recognition.Z. Yang, G. An, R. Zhang, Z. Zheng, and Q. Ruan. IET Image Process., 17 (5): 1438-1448 (April 2023)Sum Rate Maximization in Multi-Cell Multi-User Networks: An Inverse Reinforcement Learning-Based Approach.X. Tian, K. Xiong, R. Zhang, P. Fan, D. Niyato, and K. Letaief. IEEE Wirel. Commun. Lett., 13 (1): 4-8 (January 2024)Perceptual Similarity guidance and text guidance optimization for Editing Real Images using Guided Diffusion Models.R. Zhang. CoRR, (2023)User Cooperation with Power Control for Federated Learning in CFmMIMO Networks.H. Bao, K. Xiong, R. Zhang, P. Fan, D. Niyato, and K. Letaief. ICC Workshops, page 122-127. IEEE, (2023)

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Disambiguation of "Zhang, Ruichen"

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

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yan Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Ruichen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yan Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.