338 citations · 448 across the 13 of their papers we have counts for
13 papers
A Versatility-Performance Balanced Hardware Architecture for Scene Text Detection
Yao Xin, Guoming Tang, Donglong Chen +4
Detecting and extracting textual information from natural scene images needs Scene Text Detection (STD) algorithms. Fully Convolutional Neural Networks (FCNs) are usually utilized…
BESS Aided Reconfigurable Energy Supply using Deep Reinforcement Learning for 5G and Beyond
Hao Yuan, Guoming Tang, Deke Guo +4
The year of 2020 has witnessed the unprecedented development of 5G networks, along with the widespread deployment of 5G base stations (BSs). Nevertheless, the enormous energy consu…
FedNILM: Applying Federated Learning to NILM Applications at the Edge
Yu Zhang, Guoming Tang, Qianyi Huang +3
Non-intrusive load monitoring (NILM) helps disaggregate the household's main electricity consumption to energy usages of individual appliances, thus greatly cutting down the cost i…
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring
Yu Zhang, Guoming Tang, Qianyi Huang +2
Non-intrusive load monitoring (NILM) is a well-known single-channel blind source separation problem that aims to decompose the household energy consumption into itemised energy usa…
PLVER: Joint Stable Allocation and Content Replication for Edge-assisted Live Video Delivery
Huan Wang, Guoming Tang, Kui Wu +1
The live streaming services have gained extreme popularity in recent years. Due to the spiky traffic patterns of live videos, utilizing the distributed edge servers to improve view…
Quantifying Low-Battery Anxiety of Mobile Users and Its Impacts on Video Watching Behavior
Guoming Tang, Kui Wu, Yangjing Wu +3
People nowadays are increasingly dependent on mobile phones for daily communication, study, and business. Along with this it incurs the low-battery anxiety (LBA). Although having b…
A Survey on Edge Computing Systems and Tools
Fang Liu, Guoming Tang, Youhuizi Li +3
Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage and network resources at the edge of the network to provi…
HyEdge: Optimal Request Scheduling in Hybrid Edge Computing Environment
Siyuan Gu, Deke Guo, Guoming Tang +3
With the widespread use of Internet of Things (IoT) devices and the arrival of the 5G era, edge computing has become an attractive paradigm to serve end-users and provide better Qo…
Edge Federation: Towards an Integrated Service Provisioning Model
Xiaofeng Cao, Guoming Tang, Deke Guo +2
Edge computing is a promising computing paradigm for pushing the cloud service to the network edge. To this end, edge infrastructure providers (EIPs) need to bring computation and…
PPtaxi: Non-stop Package Delivery via Multi-hop Ridesharing
Yueyue Chen, Deke Guo, Ming Xu +3
City-wide package delivery becomes popular due to the dramatic rise of online shopping. It places a tremendous burden on the traditional logistics industry, which relies on dedicat…
Plug and Play! A Simple, Universal Model for Energy Disaggregation
Guoming Tang, Kui Wu, Jingsheng Lei +1
Energy disaggregation is to discover the energy consumption of individual appliances from their aggregated energy values. To solve the problem, most existing approaches rely on eit…
Household Electricity Consumption Data Cleansing
Guoming Tang, Kui Wu, Jian Pei +2
Load curve data in power systems refers to users' electrical energy consumption data periodically collected with meters. It has become one of the most important assets for modern p…
From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data
Guoming Tang, Kui Wu, Jingsheng Lei +2
In power systems, load curve data is one of the most important datasets that are collected and retained by utilities. The quality of load curve data, however, is hard to guarantee…