Chaoyun Zhang
Title
Cited by
Cited by
Year
Deep learning in mobile and wireless networking: A survey
C Zhang, P Patras, H Haddadi
IEEE Communications Surveys & Tutorials, 2019
4422019
Sequence-to-point learning with neural networks for nonintrusive load monitoring
C Zhang, M Zhong, Z Wang, N Goddard, C Sutton
Thirty-Second AAAI Conference on Artificial Intelligence. 2018., 2018
1062018
Long-term mobile traffic forecasting using deep spatio-temporal neural networks
C Zhang, P Patras
Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc …, 2018
662018
A convolutional neural network for leaves recognition using data augmentation
C Zhang, P Zhou, C Li, L Liu
2015 IEEE International Conference on Computer and Information Technology …, 2015
502015
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
C Zhang, X Ouyang, P Patras
ACM CoNEXT, 2017
362017
Deepspace: An online deep learning framework for mobile big data to understand human mobility patterns
X Ouyang, C Zhang, P Zhou, H Jiang, S Gong
arXiv preprint arXiv:1610.07009, 2016
252016
A 3D-CNN and LSTM based multi-task learning architecture for action recognition
X Ouyang, S Xu, C Zhang, P Zhou, Y Yang, G Liu, X Li
IEEE Access 7, 40757-40770, 2019
112019
Multi-Service mobile traffic forecasting via convolutional long Short-Term memories
C Zhang, M Fiore, P Patras
2019 IEEE International Symposium on Measurements & Networking (M&N), 1-6, 2019
62019
Learning driven mobility control of airborne base stations in emergency networks
R Li, C Zhang, P Patras, R Stanica, F Valois
ACM SIGMETRICS Performance Evaluation Review 46 (3), 163-166, 2019
52019
Driver behavior recognition via interwoven deep convolutional neural nets with multi-stream inputs
C Zhang, R Li, W Kim, D Yoon, P Patras
arXiv preprint arXiv:1811.09128, 2018
52018
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
C Zhang, M Fiore, I Murray, P Patras
arXiv preprint arXiv:1907.12410, 2019
32019
Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls
R Li, C Zhang, P Cao, P Patras, JS Thompson
International Conference on Machine Learning for Networking, 146-165, 2018
22018
A Machine Learning-based Framework for Optimizing the Operation of Future Networks
C Fiandrino, C Zhang, P Patras, A Banchs, J Widmer
IEEE Communications Magazine, 2020
12020
Microscope: mobile service traffic decomposition for network slicing as a service
C Zhang, M Fiore, C Ziemlicki, P Patras
Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020
2020
DATA SCIENCE AND ARTIFICIAL INTELLIGENCE
U Challita, H Ryden, H Tullberg, C Fiandrino, C Zhang, P Patras, ...
IEEE Communications Magazine, 2, 2020
2020
Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems
C Zhang, X Costa-Pérez, P Patras
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