User profiles for Huigyu Yang
 | Huigyu YangSungkyunkwan University Verified email at g.skku.edu Cited by 31 |
Deep mobile path prediction with shift-and-join and carry-ahead
Importance of user mobility has rapidly increased in 5G due to reduced cell sizes, management
of Multi-access Edge Computing (MEC), and ultra-low latency services. Reactive nature …
of Multi-access Edge Computing (MEC), and ultra-low latency services. Reactive nature …
Next point-of-attachment selection based on long short term memory model in wireless networks
Existing mobility management systems in cellular networks are ill-equipped to support Ultra-Reliable
and Low Latency Communication (URLLC) requirement of next generation …
and Low Latency Communication (URLLC) requirement of next generation …
Generative spatiotemporal image exploitation for datacenter traffic prediction
The tremendous growth rate of global internet traffic in past years increases the importance
of traffic prediction for network operators to ensure seamless Quality of Service (QoS) with …
of traffic prediction for network operators to ensure seamless Quality of Service (QoS) with …
Improved GAN with fact forcing for mobility prediction
Mobility prediction based on users movement history is a prerequisite for proactive mobility
and several other management operations in wireless networks. Recent Deep Learning (DL) …
and several other management operations in wireless networks. Recent Deep Learning (DL) …
Emp-gan: Encoder-decoder generative adversarial network for mobility prediction
Ultra-dense cell deployments in Beyond 5G and 6G result in extensive overlapping between
cells. This makes current reactive handover mechanism inadequate due to availability of …
cells. This makes current reactive handover mechanism inadequate due to availability of …
Proactive Network Traffic Prediction using Generative Adversarial Network
Proactive traffic management in 5G networks is crucial for optimizing network efficiency,
ensuring quality of service, adapting to dynamic conditions, and enhancing the user experience. …
ensuring quality of service, adapting to dynamic conditions, and enhancing the user experience. …
Dual-Branch Neural Networks for Predicting Shared Bikes
Bike sharing is efficient urban mobility method as a user determines the rental period upon
his/her demand. A dock-based sharing system designates places (ie, bike docks or stations) …
his/her demand. A dock-based sharing system designates places (ie, bike docks or stations) …
3D Medical Image Data Augmentation for CT Image Segmentation
Deep learning applications are increasingly being leveraged for disease detection tasks in
medical imaging modalities such as X-ray, Computed Tomography (CT), and Magnetic …
medical imaging modalities such as X-ray, Computed Tomography (CT), and Magnetic …
iPaaS: Intelligent Paging as a Service
Paging is a critical operation in 5G mobile networks for localization of User Equipment (UE)
in idle mode. Current multistep paging method increases the signaling exponentially and …
in idle mode. Current multistep paging method increases the signaling exponentially and …
Data Efficient Image Classification for Retinal Disease Diagnosis
H Kang, H Yang, M Kim, H Choo - Journal of Internet Computing …, 2024 - koreascience.kr
The worldwide aging population trend is causing an increase in the incidence of major
retinal diseases that can lead to blindness, including glaucoma, cataract, and macular …
retinal diseases that can lead to blindness, including glaucoma, cataract, and macular …