Zobrazeno 1 - 10
of 436
pro vyhledávání: '"Du, Hongyang"'
With the rapid advancement of artificial intelligence (AI), generative AI (GenAI) has emerged as a transformative tool, enabling customized and personalized AI-generated content (AIGC) services. However, GenAI models with billions of parameters requi
Externí odkaz:
http://arxiv.org/abs/2411.08672
Autor:
He, Long, Sun, Geng, Sun, Zemin, Wang, Jiacheng, Du, Hongyang, Niyato, Dusit, Liu, Jiangchuan, Leung, Victor C. M.
Cloud computing and edge/fog computing are playing a pivotal role in driving the transformation of industrial cyber-physical systems (ICPS) towards greater intelligence and automation by providing high-quality computation offloading services to Inter
Externí odkaz:
http://arxiv.org/abs/2411.09712
Autor:
Liu, Zhang, Du, Hongyang, Hou, Xiangwang, Huang, Lianfen, Hosseinalipour, Seyyedali, Niyato, Dusit, Letaief, Khaled Ben
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 edge-enabled AIGC service provisioning, which remain underexplored in
Externí odkaz:
http://arxiv.org/abs/2411.01458
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, researchers have recently considered combining score-based generative models
Externí odkaz:
http://arxiv.org/abs/2411.01159
Autor:
Wang, Xudong, Du, Hongyang, Niyato, Dusit, Zhou, Lijie, Feng, Lei, Yang, Zhixiang, Zhou, Fanqin, Li, Wenjing
In wireless networks, applying deep learning models to solve matching problems between different entities has become a mainstream and effective approach. However, the complex network topology in 6G multiple access presents significant challenges for
Externí odkaz:
http://arxiv.org/abs/2411.04137
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 video and audio being transmitted. Since the speaker does not frequently
Externí odkaz:
http://arxiv.org/abs/2410.22112
For millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) communication systems, we propose an innovative near-field (NF) transmission framework based on dynamic metasurface antenna (DMA) technology. In this framework, a base station (BS) ut
Externí odkaz:
http://arxiv.org/abs/2409.15894
Autor:
Zhang, Hanwen, Niyato, Dusit, Zhang, Wei, Zhao, Changyuan, Du, Hongyang, Jamalipour, Abbas, Sun, Sumei, Pei, Yiyang
With the advancements of generative artificial intelligence (GenAI) models, their capabilities are expanding significantly beyond content generation and the models are increasingly being used across diverse applications. Particularly, GenAI shows gre
Externí odkaz:
http://arxiv.org/abs/2409.15750
Autor:
He, Jiayi, Luo, Xiaofeng, Kang, Jiawen, Du, Hongyang, Xiong, Zehui, Chen, Ci, Niyato, Dusit, Shen, Xuemin
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 enhance this efficiency. However, the vulnerability of DL models to s
Externí odkaz:
http://arxiv.org/abs/2409.15695
Autor:
Zheng, Jiakang, Zhang, Jiayi, Du, Hongyang, Zhang, Ruichen, Niyato, Dusit, Dobre, Octavia A., Ai, Bo
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) effectively extracts data by decoding interference, yet its effectivene
Externí odkaz:
http://arxiv.org/abs/2409.14702