Chenming Yang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Anomaly Detection

Reconstruction Method

Dynamic Networks

Top Venues

INFOCOM Workshops

IEEE Trans. Neural Networks Learn. Syst.

Publications

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) (2024)
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 (2023)
Chenming Yang, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou
Continuous-time graph directed information maximization for temporal network representation. Inf. Sci. 644 (2023)
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 (2022)
Hui Wen, Yue Wu, Chenming Yang, Jingjing Li, Yue Zhu, Xu Jiang, Hancong Duan
Transferring Inter-Class Correlation. CoRR (2020)
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 (2020)
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)
Chenming Yang, Zhiheng Zhou, Hui Wen, Liang Zhou
MSTNN: A Graph Learning Based Method for the Origin-Destination Traffic Prediction. ICC (2020)
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)
Karim Armanious, Chenming Yang, Marc Fischer, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
MedGAN: Medical Image Translation using GANs. CoRR (2018)
Yingying Huangfu, Liang Zhou, Chenming Yang
Routing the Cyber-Attack Path with the Bayesian Network Deducing Approach. CyberC (2017)