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2023
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Hongyang Du
Zonghang Li
Dusit Niyato
Jiawen Kang
Zehui Xiong
Xuemin
ļ»ļ Shen
Dong In Kim
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5
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Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networks
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2023
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Yinqiu Liu
Hongyang Du
Dusit Niyato
Jiawen Kang
Zehui Xiong
Chunyan Miao
Xuemin Shen
Abbas Jamalipour
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A Comprehensive Survey of Incentive Mechanism for Federated Learning
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A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges
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2022
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Minrui Xu
Wei Chong Ng
Wei Yang Bryan Lim
Jiawen Kang
Zehui Xiong
Dusit Niyato
Qiang Yang
Xuemin Shen
Chunyan Miao
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Experienced Deep Reinforcement Learning With Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
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2020
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Ali Taleb Zadeh Kasgari
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NIMA: Neural Image Assessment
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Peyman Milanfar
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GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
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Attention-Aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services
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2023
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Jiazhen Liu
Dusit Niyato
Jiawen Kang
Zehui Xiong
Junshan Zhang
Dong In Kim
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Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks
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2023
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Hongyang Du
Ruichen Zhang
Dusit Niyato
Jiawen Kang
Zehui Xiong
Dong In Kim
Xuemin Shen
H. Vincent Poor
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2
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A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0
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2023
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Yijing Lin
Zhipeng Gao
Hongyang Du
Dusit Niyato
Jiawen Kang
Ruilong Deng
Xuemin Shen
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Palette: Image-to-Image Diffusion Models
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2022
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Chitwan Saharia
William Chan
Huiwen Chang
Chris Lee
Jonathan Ho
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Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
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2024
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Minrui Xu
Hongyang Du
Dusit Niyato
Jiawen Kang
Zehui Xiong
Shiwen Mao
Zhu Han
Abbas Jamalipour
Dong In Kim
Xuemin Shen
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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
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2022
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Weizhe Yuan
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Graham Neubig
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Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations
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2023
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Yuhui Chen
Raman Sarokin
Juhyun Lee
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Chuo-Ling Chang
Andrei Kulik
Matthias Grundmann
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SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
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2023
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Huan Wang
Qing Jin
Hu Ju
Pavlo Chemerys
Yun Fu
Yanzhi Wang
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A Unified Framework for Integrating Semantic Communication and AI-Generated Content in Metaverse
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2023
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Yijing Lin
Zhipeng Gao
Hongyang Du
Dusit Niyato
Jiawen Kang
Abbas Jamalipour
Xuemin Shen
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2
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Proximal Policy Optimization Algorithms
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John Schulman
Filip Wolski
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Blockchain-Empowered Lifecycle Management for AI-Generated Content Products in Edge Networks
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2024
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Yinqiu Liu
Hongyang Du
Dusit Niyato
Jiawen Kang
Zehui Xiong
Chunyan Miao
Xuemin Shen
Abbas Jamalipour
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2
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A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0
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2022
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Yijing Lin
Zhipeng Gao
Hongyang Du
Dusit Niyato
Jiawen Kang
Ruilong Deng
Xuemin Shen
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2
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Diffusion-Based Reinforcement Learning for Edge-Enabled AI-Generated Content Services
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2024
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Hongyang Du
Zonghang Li
Dusit Niyato
Jiawen Kang
Zehui Xiong
Huawei Huang
Shiwen Mao
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2
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Prompt Injection: Parameterization of Fixed Inputs
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2022
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Eunbi Choi
Yongrae Jo
Joel Jang
Minjoon Seo
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Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation
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2024
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Guangyuan Liu
Hongyang Du
Dusit Niyato
Jiawen Kang
Zehui Xiong
Dong In Kim
Xuemin Shen
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2
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Blockchain Goes Green? An Analysis of Blockchain on Low-Power Nodes
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2019
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Dumitrel Loghin
Gang Chen
Tien Tuan Anh Dinh
Beng Chin Ooi
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Generative adversarial networks
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2020
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Jean Pouget-Abadie
Mehdi Mirza
Bing Xu
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Towards Scaling Blockchain Systems via Sharding
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2019
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Tien Tuan Anh Dinh
Dumitrel Loghin
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Rainbow: Combining Improvements in Deep Reinforcement Learning
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2018
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Joseph Modayil
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Load Balancing for Ultradense Networks: A Deep Reinforcement Learning-Based Approach
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2019
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Wenjun Xu
Zhi Wang
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Scalable Byzantine Consensus via Hardware-Assisted Secret Sharing
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How Can We Know What Language Models Know?
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Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
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Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach
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2020
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Zhong Yang
Yuanwei Liu
Yue Chen
Naofal AlāDhahir
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Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks
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2019
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Taotao Wang
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Aviral Kumar
Ofir Nachum
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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
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Shimin Gong
Dusit Niyato
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YingāChang Liang
Dong In Kim
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Deep Reinforcement Learning with Double Q-Learning
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2016
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QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
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2019
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Uplink Performance of Cell-Free Massive MIMO With Multi-Antenna Users Over Jointly-Correlated Rayleigh Fading Channels
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Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning
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A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks
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Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
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2021
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Sam Bond-Taylor
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Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges, and Opportunities
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2018
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Wenchao Xu
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Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges
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2021
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Fan Liu
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
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2021
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Zhenan Sun
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HAP-Reserved Communications in Space-Air-Ground Integrated Networks
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2021
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Bo Yang
Chau Yuen
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From Resource Auction to Service Auction: An Auction Paradigm Shift in Wireless Networks
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2022
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Xianhao Chen
Yiqin Deng
Guangyu Zhu
Daqing Wang
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PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks
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2022
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Miao Dai
Long Luo
Jing Ren
Hongfang Yu
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A Scale-Out Blockchain for Value Transfer with Spontaneous Sharding
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2018
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Zhijie Ren
Kelong Cong
Taico Aerts
Bart de Jonge
Alejandro Morais
Zekeriya Erkin
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