11 citations · 30 across the 4 of their papers we have counts for
9 papers
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation
Ge Fan, Chaoyun Zhang, Kai Wang +1
Industrial recommender systems usually employ multi-source data to improve the recommendation quality, while effectively sharing information between different data sources remain a…
Deep Neural Mobile Networking
Chaoyun Zhang
The next generation of mobile networks is set to become increasingly complex, as these struggle to accommodate tremendous data traffic demands generated by ever-more connected devi…
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
Chaoyun Zhang, Marco Fiore, Iain Murray +1
This paper introduces CloudLSTM, a new branch of recurrent neural models tailored to forecasting over data streams generated by geospatial point-cloud sources. We design a Dynamic…
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories
Chaoyun Zhang, Marco Fiore, Paul Patras
Network slicing is increasingly used to partition network infrastructure between different mobile services. Precise service-wise mobile traffic forecasting becomes essential in thi…
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs
Chaoyun Zhang, Rui Li, Woojin Kim +2
Understanding driver activity is vital for in-vehicle systems that aim to reduce the incidence of car accidents rooted in cognitive distraction. Automating real-time behavior recog…
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls
Rui Li, Chaoyun Zhang, Paul Patras +2
Advances in network programmability enable operators to 'slice' the physical infrastructure into independent logical networks. By this approach, each network slice aims to accommod…