The Age of Generative AI

Representative Publications

	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 IEEE COMST The first tutorial paper to explain various applications of diffusion models and coding examples. Paper \| Code \| YouTube \| Bilibili
	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 Under Review The paper explores a dual perspective multi-agent systems and mixture of experts for generative AI Networking. Paper\| Code \| YouTube \| Bilibili
	Enhancing Physical Layer Communication Security through Generative AI with Mixture of Experts Changyuan Zhao, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin (Sherman) Shen, Khaled B. Letaief Under Review The paper explores mixture of experts-enabled generative AI, focusing on physical layer communication security. Paper
	Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse Guangyuan Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Shiwen Mao, Dong In Kim Under Review The paper explores the potential of mixture of experts with generative AI, focusing on mobile edge Metaverse. Paper\| Code YouTube \| Bilibili
	Exploring Equilibrium Strategies in Network Games with Generative AI Yaoqi Yang, Hongyang Du, Geng Sun, Zehui Xiong, Dusit Niyato, Zhu Han Under Review The paper explores the applications of generative AI in various stages of the game theory lifecycle, including model formulation, solution derivation, and strategy improvement. Paper\| Code
	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 Under Review This paper studies the generative AI agent for next-generation MIMO design. Paper\| Code YouTube \| Bilibili
	Generative AI for Game Theory-based Mobile Networking Long He, Geng Sun, Dusit Niyato, Hongyang Du, Fang Mei, Jiawen Kang, Mérouane Debbah, Zhu Han Under Review The paper explores the combination of LLM with game theory, focusing on mobile network optimization. Paper YouTube \| Bilibili
	Generative AI for Advanced UAV Networking Geng Sun, Wenwen Xie, Dusit Niyato, Hongyang Du, Jiawen Kang, Jing Wu, Sumei Sun, Ping Zhang Under Review This paper proposed a framework for UAV networking, which augments with RAG and generative diffusion model. Paper YouTube \| Bilibili
	Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Khaled B. Letaief Under Review This paper proposes mobile edge networks supported MoE-based GAI. Paper \| Code YouTube \| Bilibili
	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, and Dong In Kim Under Review This paper introduces Inverse Reinforcement Learning and its applications in networking. Paper \| Code\| YouTube \| Bilibili
	Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach Hongyang Du, Guangyuan Liu, Yijing Lin, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim Under Review This paper propose a Mixture of Experts (MoE) framework, augmented with Large Language Models (LLMs), to analyze user objectives and constraints, select specialized DRL experts, and weigh each decision. Paper \| Code\| YouTube \| Bilibili
	Interactive Al 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 Under Review This paper explores an integration and enhancement of interactive AI (IAI) in networking. Paper \| Code YouTube \| Bilibili
	Semantic communications for artificial intelligence generated content (AIGC) toward effective content creation Guangyuan Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin Shen IEEE Network Magazine In this paper, a novel comprehensive conceptual model for the integration of AIGC and SemCom is developed. Paper \| YouTube \| Bilibili
	Generative AI for Secure Physical Layer Communications: A Survey Changyuan Zhao, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin (Sherman) Shen, Khaled B. Letaief Under review This paper offers an extensive survey on the various applications of GAI in enhancing security within the physical layer of communication networks. Paper
	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 IEEE Wireless Communications Magazine This paper explores an integration of generative AI in SAGIN, focusing on potential applications and case study. Paper \| YouTube \| Bilibili
	Generative AI for Low-Carbon Artificial Intelligence of Things Jinbo Wen, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Hongyang Du, Yang Zhang, Zhu Han Under review This paper explores the potential of GAI for carbon emissions reduction and proposes a novel GAI-enabled solution for low-carbon AIoT. Paper
	Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study Yinqiu Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Shuguang Cui, Xuemin Shen, Ping Zhang IEEE Network Magazine This paper highlights how prompt engineering and AIGC are related to mobile networks. Paper \| YouTube \| Bilibili
	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 Under Review This paper introduces Reinforcement Learning With Large Language Models Interaction (RLLI), a user-centric Interactive AI technique, to optimize AIGC services. Paper \| Code \| YouTube \| Bilibili
	AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim IEEE Journal on Selected Areas in Communications This paper proposes a contract theoretic AI-generated incentive mechanism that generates the optimal contract design. Paper \| Code
	Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services Hongyang Du, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, Huawei Huang, and Shiwen Mao IEEE Transactions on Mobile Computing This paper proposes a diffusion model-based AI-generated optimal decision (AGOD) algorithm, which can generate the optimal ASP selection decisions. Paper \| Code
	Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts Hongyang Du, Guangyuan Liu, Dusit Niyato, Jiayi Zhang, Jiawen Kang, Zehui Xiong, Bo Ai, Dong In Kim ICASSP 2024 This paper demonstrates how multi-modal prompt (text+image) can improve AIGC used in semantic communication with covert communication technique. Paper \| Code \| YouTube \| Bilibili
	Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Shuguang Cui, Xuemin Shen, Ping Zhang IEEE Wireless Communications Magazine The paper showcases the use of generative AI in integrated sensing and communications, especially from physical layer. Paper \| YouTube \| Bilibili
	Federated Learning-Empowered AI-Generated Content in Wireless Networks Xumin Huang, Peichun Li, Hongyang Du, Jiawen Kang, Dusit Niyato, Dong In Kim, Yuan Wu IEEE Network Magazine This paper presents the federated learning design to support AIGC with privacy preservation. Paper \| YouTube \| Bilibili
	Guiding AI-Generated Digital Content with Wireless Perception Jiacheng Wang, Hongyang Du, Dusit Niyato, Zehui Xiong, Jiawen Kang, Shiwen Mao, Xuemin (Sherman) Shen IEEE Wireless Communications Magazine The paper explains the use of wireless sensing data for input of AIGC applications to generate images and videos. Paper \| YouTube \| Bilibili
	Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study Yinqiu Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Abbas Jamalipour IEEE Network Magazine The paper gives specific examples of generative AI to optimize wireless networks. Paper \| YouTube \| Bilibili
	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 Network Magazine The paper summarizes and showcases how generative AI can be used in healthcare applications. Paper \| YouTube \| Bilibili
	A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC Jiayuan Chen, Changyan Yi, Hongyang Du, Dusit Niyato, Jiawen Kang, Jun Cai, Xuemin (Sherman) Shen IEEE Network Magazine The paper summarizes and showcases how generative AI can be used in healthcare applications. Paper \| YouTube \| Bilibili
	Flexible-Position MIMO for Wireless Communications: Fundamentals, Challenges, and Future Directions Jiakang Zheng, Jiayi Zhang, Hongyang Du, Dusit Niyato, Sumei Sun, Bo Ai, Khaled B. Letaief IEEE Wireless Communications Magazine The paper disucsses a new type of an antenna system that allows antenna elements to be adjusted location-wise; generative AI is also used to optimize the location and movement paths of the antenna elements. Paper \| YouTube \| Bilibili
	YOLO-based Semantic Communication with Generative AI-aided Resource Allocation for Digital Twins Construction Baoxia Du, Hongyang Du, Haifeng Liu, Dusit Niyato, Peng Xin, Jun Yu, Mingyang Qi, You Tang IEEE Internet of Things Journal The paper introduces a new semantic communication application that utilizes a generative AI method to solve edge resource allocation to construct efficient digital twins. Paper \| YouTube \| Bilibili
	Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Junshan Zhang, Xuemin (Sherman) Shen IEEE Journal on Selected Areas in Communications This paper proposes the inverse semantic communications. Paper \| Code
	Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services Hongyang Du, Jiazhen Liu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Junshan Zhang, Dong In Kim IEEE Journal on Selected Areas in Communications This paper proposes a novel metric named Meta-Immersion that incorporates both the objective KPIs and subjective feelings of Metaverse users. Paper \| Code

	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 IEEE COMST The first tutorial paper to explain various applications of diffusion models and coding examples. Paper \| Code \| YouTube \| Bilibili
	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 Under Review The paper explores a dual perspective multi-agent systems and mixture of experts for generative AI Networking. Paper\| Code \| YouTube \| Bilibili
	Enhancing Physical Layer Communication Security through Generative AI with Mixture of Experts Changyuan Zhao, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin (Sherman) Shen, Khaled B. Letaief Under Review The paper explores mixture of experts-enabled generative AI, focusing on physical layer communication security. Paper
	Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse Guangyuan Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Shiwen Mao, Dong In Kim Under Review The paper explores the potential of mixture of experts with generative AI, focusing on mobile edge Metaverse. Paper\| Code YouTube \| Bilibili
	Exploring Equilibrium Strategies in Network Games with Generative AI Yaoqi Yang, Hongyang Du, Geng Sun, Zehui Xiong, Dusit Niyato, Zhu Han Under Review The paper explores the applications of generative AI in various stages of the game theory lifecycle, including model formulation, solution derivation, and strategy improvement. Paper\| Code
	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 Under Review This paper studies the generative AI agent for next-generation MIMO design. Paper\| Code YouTube \| Bilibili
	Generative AI for Game Theory-based Mobile Networking Long He, Geng Sun, Dusit Niyato, Hongyang Du, Fang Mei, Jiawen Kang, Mérouane Debbah, Zhu Han Under Review The paper explores the combination of LLM with game theory, focusing on mobile network optimization. Paper YouTube \| Bilibili
	Generative AI for Advanced UAV Networking Geng Sun, Wenwen Xie, Dusit Niyato, Hongyang Du, Jiawen Kang, Jing Wu, Sumei Sun, Ping Zhang Under Review This paper proposed a framework for UAV networking, which augments with RAG and generative diffusion model. Paper YouTube \| Bilibili
	Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Khaled B. Letaief Under Review This paper proposes mobile edge networks supported MoE-based GAI. Paper \| Code YouTube \| Bilibili
	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, and Dong In Kim Under Review This paper introduces Inverse Reinforcement Learning and its applications in networking. Paper \| Code\| YouTube \| Bilibili
	Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach Hongyang Du, Guangyuan Liu, Yijing Lin, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim Under Review This paper propose a Mixture of Experts (MoE) framework, augmented with Large Language Models (LLMs), to analyze user objectives and constraints, select specialized DRL experts, and weigh each decision. Paper \| Code\| YouTube \| Bilibili
	Interactive Al 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 Under Review This paper explores an integration and enhancement of interactive AI (IAI) in networking. Paper \| Code YouTube \| Bilibili
	Semantic communications for artificial intelligence generated content (AIGC) toward effective content creation Guangyuan Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin Shen IEEE Network Magazine In this paper, a novel comprehensive conceptual model for the integration of AIGC and SemCom is developed. Paper \| YouTube \| Bilibili
	Generative AI for Secure Physical Layer Communications: A Survey Changyuan Zhao, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin (Sherman) Shen, Khaled B. Letaief Under review This paper offers an extensive survey on the various applications of GAI in enhancing security within the physical layer of communication networks. Paper
	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 IEEE Wireless Communications Magazine This paper explores an integration of generative AI in SAGIN, focusing on potential applications and case study. Paper \| YouTube \| Bilibili
	Generative AI for Low-Carbon Artificial Intelligence of Things Jinbo Wen, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Hongyang Du, Yang Zhang, Zhu Han Under review This paper explores the potential of GAI for carbon emissions reduction and proposes a novel GAI-enabled solution for low-carbon AIoT. Paper
	Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study Yinqiu Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Shuguang Cui, Xuemin Shen, Ping Zhang IEEE Network Magazine This paper highlights how prompt engineering and AIGC are related to mobile networks. Paper \| YouTube \| Bilibili
	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 Under Review This paper introduces Reinforcement Learning With Large Language Models Interaction (RLLI), a user-centric Interactive AI technique, to optimize AIGC services. Paper \| Code \| YouTube \| Bilibili
	AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim IEEE Journal on Selected Areas in Communications This paper proposes a contract theoretic AI-generated incentive mechanism that generates the optimal contract design. Paper \| Code
	Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services Hongyang Du, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, Huawei Huang, and Shiwen Mao IEEE Transactions on Mobile Computing This paper proposes a diffusion model-based AI-generated optimal decision (AGOD) algorithm, which can generate the optimal ASP selection decisions. Paper \| Code
	Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts Hongyang Du, Guangyuan Liu, Dusit Niyato, Jiayi Zhang, Jiawen Kang, Zehui Xiong, Bo Ai, Dong In Kim ICASSP 2024 This paper demonstrates how multi-modal prompt (text+image) can improve AIGC used in semantic communication with covert communication technique. Paper \| Code \| YouTube \| Bilibili
	Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Shuguang Cui, Xuemin Shen, Ping Zhang IEEE Wireless Communications Magazine The paper showcases the use of generative AI in integrated sensing and communications, especially from physical layer. Paper \| YouTube \| Bilibili
	Federated Learning-Empowered AI-Generated Content in Wireless Networks Xumin Huang, Peichun Li, Hongyang Du, Jiawen Kang, Dusit Niyato, Dong In Kim, Yuan Wu IEEE Network Magazine This paper presents the federated learning design to support AIGC with privacy preservation. Paper \| YouTube \| Bilibili
	Guiding AI-Generated Digital Content with Wireless Perception Jiacheng Wang, Hongyang Du, Dusit Niyato, Zehui Xiong, Jiawen Kang, Shiwen Mao, Xuemin (Sherman) Shen IEEE Wireless Communications Magazine The paper explains the use of wireless sensing data for input of AIGC applications to generate images and videos. Paper \| YouTube \| Bilibili
	Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study Yinqiu Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Abbas Jamalipour IEEE Network Magazine The paper gives specific examples of generative AI to optimize wireless networks. Paper \| YouTube \| Bilibili
	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 Network Magazine The paper summarizes and showcases how generative AI can be used in healthcare applications. Paper \| YouTube \| Bilibili
	A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC Jiayuan Chen, Changyan Yi, Hongyang Du, Dusit Niyato, Jiawen Kang, Jun Cai, Xuemin (Sherman) Shen IEEE Network Magazine The paper summarizes and showcases how generative AI can be used in healthcare applications. Paper \| YouTube \| Bilibili
	Flexible-Position MIMO for Wireless Communications: Fundamentals, Challenges, and Future Directions Jiakang Zheng, Jiayi Zhang, Hongyang Du, Dusit Niyato, Sumei Sun, Bo Ai, Khaled B. Letaief IEEE Wireless Communications Magazine The paper disucsses a new type of an antenna system that allows antenna elements to be adjusted location-wise; generative AI is also used to optimize the location and movement paths of the antenna elements. Paper \| YouTube \| Bilibili
	YOLO-based Semantic Communication with Generative AI-aided Resource Allocation for Digital Twins Construction Baoxia Du, Hongyang Du, Haifeng Liu, Dusit Niyato, Peng Xin, Jun Yu, Mingyang Qi, You Tang IEEE Internet of Things Journal The paper introduces a new semantic communication application that utilizes a generative AI method to solve edge resource allocation to construct efficient digital twins. Paper \| YouTube \| Bilibili
	Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Junshan Zhang, Xuemin (Sherman) Shen IEEE Journal on Selected Areas in Communications This paper proposes the inverse semantic communications. Paper \| Code
	Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services Hongyang Du, Jiazhen Liu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Junshan Zhang, Dong In Kim IEEE Journal on Selected Areas in Communications This paper proposes a novel metric named Meta-Immersion that incorporates both the objective KPIs and subjective feelings of Metaverse users. Paper \| Code