4 citations · 15 across the 8 of their papers we have counts for
8 papers
JOET: Sustainable Vehicle-assisted Edge Computing for Internet of Vehicles
Wei Huang, Neal N. Xiong, Shahid Mumtaz
Task offloading in Internet of Vehicles (IoV) involves numerous steps and optimization variables such as: where to offload tasks, how to allocate computation resources, how to adju…
An Efficient Style Virtual Try on Network for Clothing Business Industry
Shanchen Pang, Xixi Tao, Neal N. Xiong +1
With the increasing development of garment manufacturing industry, the method of combining neural network with industry to reduce product redundancy has been paid more and more att…
IUP: An Intelligent Utility Prediction Scheme for Solid-State Fermentation in 5G IoT
Min Wang, Shanchen Pang, Tong Ding +5
At present, SOILD-STATE Fermentation (SSF) is mainly controlled by artificial experience, and the product quality and yield are not stable. Accurately predicting the quality and yi…
Machine Learning on Cloud with Blockchain: A Secure, Verifiable and Fair Approach to Outsource the Linear Regression for Data Analysis
Hanlin Zhang, Peng Gao, Jia Yu +2
Linear Regression (LR) is a classical machine learning algorithm which has many applications in the cyber physical social systems (CPSS) to shape and simplify the way we live, work…
MLD: An Intelligent Memory Leak Detection Scheme Based on Defect Modes in Smart Grids
Ling Yuan, Siyuan Zhou, Neal Xiong
With the expansion of the software scale and complexity of smart grid systems, the detection of smart grid software defects has become a research hotspot. Because of the large scal…
Towards Class-incremental Object Detection with Nearest Mean of Exemplars
Sheng Ren, Yan He, Neal N. Xiong +1
Incremental learning is a form of online learning. Incremental learning can modify the parameters and structure of the deep learning model so that the model does not forget the old…
Fair and autonomous sharing of federate learning models in mobile Internet of Things
Xiaohan Hao, Wei Ren, Ruoting Xiong +3
Federate learning can conduct machine learning as well as protect the privacy of self-owned training data on corresponding ends, instead of having to upload to a central trusted da…
An Intelligent Group Event Recommendation System in Social networks
Guoqiong Liao, Xiaomei Huang, Neal N. Xiong +1
The importance of contexts has been widely recognized in recommender systems for individuals. However, most existing group recommendation models in Event-Based Social Networks (EBS…