219 citations · 924 across the 126 of their papers we have counts for
53 papers · 1 filter
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao, Hongyang Du, Guangyuan Liu +1
Score-based generative models can effectively learn the distribution of data by estimating the gradient of the distribution. Due to the multi-step denoising characteristic, researc…
Dual UAV Cluster-Assisted Maritime Physical Layer Secure Communications via Collaborative Beamforming
Jiawei Huang, Aimin Wang, Geng Sun +4
Unmanned aerial vehicles (UAVs) can be utilized as relay platforms to assist maritime wireless communications. However, complex channels and multipath effects at sea can adversely…
Joint Model Caching and Resource Allocation in Generative AI-Enabled Wireless Edge Networks
Zhang Liu, Hongyang Du, Lianfen Huang +2
With the rapid advancement of artificial intelligence (AI), generative AI (GenAI) has emerged as a transformative tool, enabling customized and personalized AI-generated content (A…
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services
Zhang Liu, Hongyang Du, Xiangwang Hou +4
Generative AI (GenAI) has emerged as a transformative technology, enabling customized and personalized AI-generated content (AIGC) services. In this paper, we address challenges of…
Digital Twin-Assisted Space-Air-Ground Integrated Multi-Access Edge Computing for Low-Altitude Economy: An Online Decentralized Optimization Approach
Long He, Geng Sun, Zemin Sun +5
The emergence of space-air-ground integrated multi-access edge computing (SAGIMEC) networks opens a significant opportunity for the rapidly growing low altitude economy (LAE), faci…
Generative AI Enabled Matching for 6G Multiple Access
Xudong Wang, Hongyang Du, Dusit Niyato +5
In wireless networks, applying deep learning models to solve matching problems between different entities has become a mainstream and effective approach. However, the complex netwo…
Multimodal Semantic Communication for Generative Audio-Driven Video Conferencing
Haonan Tong, Haopeng Li, Hongyang Du +3
This paper studies an efficient multimodal data communication scheme for video conferencing. In our considered system, a speaker gives a talk to the audiences, with talking head vi…
Robust Beamforming Design for Near-Field DMA-NOMA mmWave Communications With Imperfect Position Information
Yue Xiu, Yang Zhao, Songjie Yang +4
For millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) communication systems, we propose an innovative near-field (NF) transmission framework based on dynamic metasurfa…
Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks
Jiayi He, Xiaofeng Luo, Jiawen Kang +5
Semantic Communication (SemCom) plays a pivotal role in 6G networks, offering a viable solution for future efficient communication. Deep Learning (DL)-based semantic codecs further…
Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach
Jiakang Zheng, Jiayi Zhang, Hongyang Du +4
Cell-free (CF) massive multiple-input multipleoutput (MIMO) provides a ubiquitous coverage to user equipments (UEs) but it is also susceptible to interference. Ratesplitting (RS) e…
CSQF-based Time-Sensitive Flow Scheduling in Long-distance Industrial IoT Networks
Yudong Huang, Tao Huang, Xinyuan Zhang +4
Booming time-critical services, such as automated manufacturing and remote operations, stipulate increasing demands for facilitating large-scale Industrial Internet of Things (IoT)…
Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study
Yinqiu Liu, Hongyang Du, Dusit Niyato +4
Generative AI (GenAI), exemplified by Large Language Models (LLMs) such as OpenAI's ChatGPT, is revolutionizing various fields. Central to this transformation is Data Center Networ…
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
Hanwen Zhang, Dusit Niyato, Wei Zhang +5
With the advancements of generative artificial intelligence (GenAI) models, their capabilities are expanding significantly beyond content generation and the models are increasingly…
Maximum-Likelihood Estimation Based on Diffusion Model For Wireless Communications
Changyuan Zhao, Jiacheng Wang, Ruichen Zhang +3
Generative Artificial Intelligence (GenAI) models, with their powerful feature learning capabilities, have been applied in many fields. In mobile wireless communications, GenAI can…
Generative AI based Secure Wireless Sensing for ISAC Networks
Jiacheng Wang, Hongyang Du, Yinqiu Liu +5
Integrated sensing and communications (ISAC) is expected to be a key technology for 6G, and channel state information (CSI) based sensing is a key component of ISAC. However, curre…
Generative AI for Energy Harvesting Internet of Things Network: Fundamental, Applications, and Opportunities
Wenwen Xie, Geng Sun, Jiahui Li +4
Internet of Things (IoT) devices are typically powered by small-sized batteries with limited energy storage capacity, requiring regular replacement or recharging. To reduce costs a…
Enhancing Wireless Networks with Attention Mechanisms: Insights from Mobile Crowdsensing
Yaoqi Yang, Hongyang Du, Zehui Xiong +3
The increasing demand for sensing, collecting, transmitting, and processing vast amounts of data poses significant challenges for resource-constrained mobile users, thereby impacti…
Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles
Jianzhe Xue, Yunting Xu, Dongcheng Yuan +4
Traffic flow estimation (TFE) is crucial for intelligent transportation systems. Traditional TFE methods rely on extensive road sensor networks and typically incur significant cost…
Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses
Yingkai Kang, Jinbo Wen, Jiawen Kang +5
The vehicular metaverse is envisioned as a blended immersive domain that promises to bring revolutionary changes to the automotive industry. As a core component of vehicular metave…
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach
Zhang Liu, Hongyang Du, Junzhe Lin +4
The rapid advancement of Artificial Intelligence (AI) has introduced Deep Neural Network (DNN)-based tasks to the ecosystem of vehicular networks. These tasks are often computation…
Revolutionizing Wireless Networks with Self-Supervised Learning: A Pathway to Intelligent Communications
Zhixiang Yang, Hongyang Du, Dusit Niyato +6
With the rapid proliferation of mobile devices and data, next-generation wireless communication systems face stringent requirements for ultra-low latency, ultra-high reliability, a…
Optimizing 6G Integrated Sensing and Communications (ISAC) via Expert Networks
Jiacheng Wang, Hongyang Du, Geng Sun +4
Integrated Sensing and Communications (ISAC) is one of the core technologies of 6G, which combines sensing and communication functions into a single system. However, limited comput…
Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts
Ruichen Zhang, Hongyang Du, Dusit Niyato +4
In the continued development of next-generation networking and artificial intelligence content generation (AIGC) services, the integration of multi-agent systems (MAS) and the mixt…
Generative AI for Secure and Privacy-Preserving Mobile Crowdsensing
Yaoqi Yang, Bangning Zhang, Daoxing Guo +4
Recently, generative AI has attracted much attention from both academic and industrial fields, which has shown its potential, especially in the data generation and synthesis aspect…