Zobrazeno 1 - 10
of 2 777
pro vyhledávání: '"LIU, Zhang"'
Recent advancements in Multimodal Large Language Models (MLLMs) have demonstrated remarkable progress in visual understanding. This impressive leap raises a compelling question: how can language models, initially trained solely on linguistic data, ef
Externí odkaz:
http://arxiv.org/abs/2412.18108
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:
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
Autor:
Liu, Zhang, Du, Hongyang, Lin, Junzhe, Gao, Zhibin, Huang, Lianfen, Hosseinalipour, Seyyedali, Niyato, Dusit
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-intensive, requiring substantial computation resources, which are bey
Externí odkaz:
http://arxiv.org/abs/2406.06986
Autor:
Bandarupalli, Akhil, Bhat, Adithya, Bagchi, Saurabh, Kate, Aniket, Liu-Zhang, Chen-Da, Reiter, Michael K.
Agreement protocols are crucial in various emerging applications, spanning from distributed (blockchains) oracles to fault-tolerant cyber-physical systems. In scenarios where sensor/oracle nodes measure a common source, maintaining output within the
Externí odkaz:
http://arxiv.org/abs/2405.02431
Autor:
Chen, Ning, Cheng, Zhipeng, Fan, Xuwei, Liu, Zhang, Huang, Bangzhen, Yang, Jie, Zhao, Yifeng, Huang, Lianfen
Information acquisition from target perception represents the key enabling technology of the Internet of Automatic Vehicles (IoAV), which is essential for the decision-making and control operation of connected automatic vehicles (CAVs). Exploring tar
Externí odkaz:
http://arxiv.org/abs/2401.11759
Autor:
Chen, Ning, Yang, Jie, Cheng, Zhipeng, Fan, Xuwei, Liu, Zhang, Huang, Bangzhen, Zhao, Yifeng, Huang, Lianfen, Du, Xiaojiang, Guizani, Mohsen
The rapid expansion of AI-generated content (AIGC) reflects the iteration from assistive AI towards generative AI (GAI) with creativity. Meanwhile, the 6G networks will also evolve from the Internet-of-everything to the Internet-of-intelligence with
Externí odkaz:
http://arxiv.org/abs/2401.02662
Autor:
Tian-tian Wang, Bo Yang, Yun-rong Li, Liu-liu Zhang, Xiao-xu Zhi, Bing Wu, Yi Zhang, Yun Zhao, Mei-xiang Wang
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-10 (2024)
Abstract Background As core members of hospice care team, the hospice nurses’ ability to care for patients not only directly affects the standard of patient care, but also significantly impacts patient quality of life. It can be seen that it is ver
Externí odkaz:
https://doaj.org/article/44fbe97abe3742cb8b0982dc962ed5d6
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Flower morphology is believed to be primarily shaped by the most important pollinators when more than one pollinating species visits the flowers. However, floral adaptation to the selection mediated by multiple pollinators has rec
Externí odkaz:
https://doaj.org/article/99c220d6b53a4be18c43b5b7d50f3abc
Autor:
Zhang, Tao, Liu, Zhang-Ju
We invent a new cohomology theory for Lie triple algebras. Using this cohomology, we introduce the notions of 2-term $L_\infty$-triple algebras and Lie triple 2-algebras. We prove that the category of 2-term $L_\infty$-triple algebras is equivalent t
Externí odkaz:
http://arxiv.org/abs/2310.13614