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Chengming Hu
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Year
Learnable Encoder-Decoder Architecture for Dynamic Graph: A Survey
Y Zhu, F Lyu, C Hu, X Chen, X Liu
arXiv preprint arXiv:2203.10480, 2022
26*2022
Advanced cyber-physical attack classification with extreme gradient boosting for smart transmission grids
C Hu, J Yan, C Wang
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
262019
Teacher-Student Architecture for Knowledge Distillation: A Survey
C Hu, X Li, D Liu, H Wu, X Chen, J Wang, X Liu
arXiv preprint arXiv:2308.04268, 2023
21*2023
Adaptive Feature Boosting of Multi-Sourced Deep Autoencoders for Smart Grid Intrusion Detection
C Hu, J Yan, X Liu
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
162020
Robust feature extraction and ensemble classification against cyber-physical attacks in the smart grid
C Hu, J Yan, C Wang
2019 IEEE Electrical Power and Energy Conference (EPEC), 1-6, 2019
132019
Ensemble feature learning-based event classification for cyber-physical security of the smart grid
C Hu
Concordia University, 2019
82019
Reinforcement Learning-Based Adaptive Feature Boosting for Smart Grid Intrusion Detection
C Hu, J Yan, X Liu
IEEE Transactions on Smart Grid, 2022
52022
A Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning
J Kang, J Wang, C Hu, X Liu, G Dudek
GLOBECOM 2022-2022 IEEE Global Communications Conference, 3096-3101, 2022
32022
AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting
C Hu, X Chen, J Wang, H Li, J Kang, YT Xu, X Liu, D Wu, S Jang, I Park, ...
2021 IEEE Global Communications Conference (GLOBECOM), 01-06, 2021
22021
Method of performing communication load balancing with multi-teacher reinforcement learning, and an apparatus for the same
J Kang, X Chen, HU Chengming, J Wang, GL Dudek, X Liu
US Patent 11,750,719, 2023
12023
Communication Traffic Prediction with Continual Knowledge Distillation
H Li, J Wang, C Hu, X Chen, X Liu, S Jang, G Dudek
ICC 2022-IEEE International Conference on Communications, 5481-5486, 2022
12022
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
C Hu, H Wu, X Li, C Ma, X Chen, J Yan, B Wang, X Liu
arXiv preprint arXiv:2312.15112, 2023
2023
AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting
C Hu, J Wang, D Wu, Y Xin, C Zhang, X Liu, G Dudek
GLOBECOM 2023-2023 IEEE Global Communications Conference, 7399-7404, 2023
2023
Method of communication traffic prediction via continual learning with knowledge distillation, and an apparatus for the same
H Li, J Wang, HU Chengming, X Chen, X Liu, J Seowoo, GL Dudek
US Patent App. 17/957,499, 2023
2023
Method of load forecasting via knowledge distillation, and an apparatus for the same
HU Chengming, X Chen, A Feriani, J Wang, J Kang, X Liu, GL Dudek, ...
US Patent App. 17/902,626, 2023
2023
Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting
C Hu, J Wang, D Wu, X Liu, G Dudek
GLOBECOM 2022-2022 IEEE Global Communications Conference, 2316-2321, 2022
2022
Communication load forecasting accuracy with adaptive feature boosting
HU Chengming, X Chen, J Wang, H Li, J Kang, YT Xu, X Liu, D Wu, ...
US Patent App. 17/570,767, 2022
2022
MOBA: Multi-teacher Model Based Reinforcement Learning
J Kang, X Chen, J Wang, C Hu, X Liu, G Dudek
2021
Adversarial Examples Are Not Bugs, They Are Features
C Hu, H Wu, K Wang
2019
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Articles 1–19