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2020 – today
- 2024
[j4]Chenming Yang
, Hui Wen, Bryan Hooi, Liang Zhou:
CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4554-4566 (2024)- 2023
- [j3]Chenming Yang, Hui Wen, Bryan Hooi, Yue Wu, Liang Zhou:
A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks. Neurocomputing 518: 482-495 (2023) - [j2]Chenming Yang, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou:
Continuous-time graph directed information maximization for temporal network representation. Inf. Sci. 644: 119240 (2023) - 2022
- [j1]Hui Wen, Yue Wu, Jingjing Li, Chenming Yang, Hancong Duan, Yang Yang:
Transferring Inter-Class Correlation for Teacher-Student frameworks with flexible models. Knowl. Based Syst. 242: 108316 (2022) - 2020
- [c4]Chenming Yang, Zhiheng Zhou, Hui Wen, Liang Zhou:
MSTNN: A Graph Learning Based Method for the Origin-Destination Traffic Prediction. ICC 2020: 1-6 - [c3]Chenming Yang, Liang Zhou, Hui Wen, Yue Wu:
U-ASG: A Universal Method to Perform Adversarial Attack on Autoencoder based Network Anomaly Detection Systems. INFOCOM Workshops 2020: 68-73 - [c2]Hui Wen, Yue Wu, Chenming Yang, Hancong Duan, Shui Yu:
A Unified Federated Learning Framework for Wireless Communications: towards Privacy, Efficiency, and Security. INFOCOM Workshops 2020: 653-658 - [i3]Chenming Yang, Liang Zhou, Hui Wen, Zhiheng Zhou, Yue Wu:
H-VGRAE: A Hierarchical Stochastic Spatial-Temporal Embedding Method for Robust Anomaly Detection in Dynamic Networks. CoRR abs/2007.06903 (2020) - [i2]Hui Wen, Yue Wu, Chenming Yang, Jingjing Li, Yue Zhu, Xu Jiang, Hancong Duan:
Transferring Inter-Class Correlation. CoRR abs/2008.10444 (2020)
2010 – 2019
- 2018
- [i1]Karim Armanious, Chenming Yang, Marc Fischer, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang:
MedGAN: Medical Image Translation using GANs. CoRR abs/1806.06397 (2018) - 2017
- [c1]Yingying Huangfu, Liang Zhou, Chenming Yang:
Routing the Cyber-Attack Path with the Bayesian Network Deducing Approach. CyberC 2017: 5-10
Coauthor Index
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