Chaoyun Zhang
Cited by
Cited by
Deep learning in mobile and wireless networking: A survey
C Zhang, P Patras, H Haddadi
IEEE Communications Surveys & Tutorials, 2019
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
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
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
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
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
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
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
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
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
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
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
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
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, ...
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
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
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
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
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
Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback
L Wang, C Zhang, R Ding, Y Xu, Q Chen, W Zou, Q Chen, M Zhang, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
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