Zobrazeno 1 - 10
of 409
pro vyhledávání: '"Chen, Jiayuan"'
Deep learning-based predictive models, leveraging Electronic Health Records (EHR), are receiving increasing attention in healthcare. An effective representation of a patient's EHR should hierarchically encompass both the temporal relationships betwee
Externí odkaz:
http://arxiv.org/abs/2405.03943
In this paper, the energy-efficient unmanned aerial vehicle (UAV) swarm assisted mobile edge computing (MEC) with dynamic clustering and scheduling is studied. In the considered system model, UAVs are divided into multiple swarms, with each swarm con
Externí odkaz:
http://arxiv.org/abs/2402.18936
This paper proposes a novel edge computing enabled real-time video analysis system for intelligent visual devices. The proposed system consists of a tracking-assisted object detection module (TAODM) and a region of interesting module (ROIM). TAODM ad
Externí odkaz:
http://arxiv.org/abs/2402.18927
The Internet of things (IoT) can significantly enhance the quality of human life, specifically in healthcare, attracting extensive attentions to IoT-healthcare services. Meanwhile, the human digital twin (HDT) is proposed as an innovative paradigm th
Externí odkaz:
http://arxiv.org/abs/2401.13699
Autor:
Chen, Jiayuan, Wang, Yu, Deng, Ruining, Liu, Quan, Cui, Can, Yao, Tianyuan, Liu, Yilin, Zhong, Jianyong, Fogo, Agnes B., Yang, Haichun, Zhao, Shilin, Huo, Yuankai
Podocytes, specialized epithelial cells that envelop the glomerular capillaries, play a pivotal role in maintaining renal health. The current description and quantification of features on pathology slides are limited, prompting the need for innovativ
Externí odkaz:
http://arxiv.org/abs/2308.06288
Autor:
Chen, Jiayuan, Yi, Changyan, Du, Hongyang, Niyato, Dusit, Kang, Jiawen, Cai, Jun, Xuemin, Shen
Mobile Artificial Intelligence-Generated Content (AIGC) technology refers to the adoption of AI algorithms deployed at mobile edge networks to automate the information creation process while fulfilling the requirements of end users. Mobile AIGC has r
Externí odkaz:
http://arxiv.org/abs/2307.12115
Human digital twin (HDT) is expected to revolutionize the future human lifestyle and prompts the development of advanced human-centric applications (e.g., Metaverse) by bridging physical and virtual spaces. However, the fulfillment of HDT poses strin
Externí odkaz:
http://arxiv.org/abs/2304.07454
Recently, graph-based models designed for downstream tasks have significantly advanced research on graph neural networks (GNNs). GNN baselines based on neural message-passing mechanisms such as GCN and GAT perform worse as the network deepens. Theref
Externí odkaz:
http://arxiv.org/abs/2301.10536
Digital twin (DT), refers to a promising technique to digitally and accurately represent actual physical entities. One typical advantage of DT is that it can be used to not only virtually replicate a system's detailed operations but also analyze the
Externí odkaz:
http://arxiv.org/abs/2301.03930
Recently, text classification model based on graph neural network (GNN) has attracted more and more attention. Most of these models adopt a similar network paradigm, that is, using pre-training node embedding initialization and two-layer graph convol
Externí odkaz:
http://arxiv.org/abs/2112.15060