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Chaoyun Zhang
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Cited by
Year
Deep learning in mobile and wireless networking: A survey
C Zhang, P Patras, H Haddadi
IEEE Communications Surveys & Tutorials, 2019
17192019
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
5412018
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
2732018
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
1152015
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
C Zhang, X Ouyang, P Patras
Proceedings of the 13th International Conference on emerging Networking …, 2017
852017
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
732019
Adversarial attacks against deep learning-based network intrusion detection systems and defense mechanisms
C Zhang, X Costa-Perez, P Patras
IEEE/ACM Transactions on Networking 30 (3), 1294-1311, 2022
542022
Driver behavior recognition via interwoven deep convolutional neural nets with multi-stream inputs
C Zhang, R Li, W Kim, D Yoon, P Patras
IEEE Access 8, 191138-191151, 2020
512020
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
492016
Tiki-taka: Attacking and defending deep learning-based intrusion detection systems
C Zhang, X Costa-Pérez, P Patras
Proceedings of the 2020 ACM SIGSAC Conference on Cloud Computing Security …, 2020
382020
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
352019
CloudLSTM: A recurrent neural model for spatiotemporal point-cloud stream forecasting
C Zhang, M Fiore, I Murray, P Patras
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
332021
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 58 (6), 20-25, 2020
312020
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
232020
Automatic root cause analysis via large language models for cloud incidents
Y Chen, H Xie, M Ma, Y Kang, X Gao, L Shi, Y Cao, X Gao, H Fan, M Wen, ...
Proceedings of the Nineteenth European Conference on Computer Systems, 674-688, 2024
22*2024
Everything of thoughts: Defying the law of penrose triangle for thought generation
R Ding, C Zhang, L Wang, Y Xu, M Ma, W Zhang, S Qin, S Rajmohan, ...
arXiv preprint arXiv:2311.04254, 2023
192023
Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection
Y Chen, C Zhang, M Ma, Y Liu, R Ding, B Li, S He, S Rajmohan, Q Lin, ...
arXiv preprint arXiv:2307.00754, 2023
162023
Assess and summarize: Improve outage understanding with large language models
P Jin, S Zhang, M Ma, H Li, Y Kang, L Li, Y Liu, B Qiao, C Zhang, P Zhao, ...
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
122023
Taskweaver: A code-first agent framework
B Qiao, L Li, X Zhang, S He, Y Kang, C Zhang, F Yang, H Dong, J Zhang, ...
arXiv preprint arXiv:2311.17541, 2023
102023
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
92019
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