Suivre
Chengming Hu
Chengming Hu
McGill University
Adresse e-mail validée de mail.mcgill.ca - Page d'accueil
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Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities
H Zhou, C Hu, Y Yuan, Y Cui, Y Jin, C Chen, H Wu, D Yuan, L Jiang, ...
IEEE Communications Surveys & Tutorials, 2024
692024
Teacher-student architecture for knowledge learning: A survey
C Hu, X Li, D Liu, X Chen, J Wang, X Liu
arXiv preprint arXiv:2210.17332, 2022
58*2022
Encoder-decoder architecture for supervised dynamic graph learning: A survey
Y Zhu, F Lyu, C Hu, X Chen, X Liu
arXiv preprint arXiv:2203.10480, 2022
45*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
282019
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
182020
Reinforcement learning-based adaptive feature boosting for smart grid intrusion detection
C Hu, J Yan, X Liu
IEEE Transactions on Smart Grid 14 (4), 3150-3163, 2022
172022
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
172019
Ensemble feature learning-based event classification for cyber-physical security of the smart grid
C Hu
Concordia University, 2019
92019
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control
H Zhou, C Hu, D Yuan, Y Yuan, D Wu, X Liu, C Zhang
arXiv preprint arXiv:2408.00214, 2024
82024
Generative ai as a service in 6g edge-cloud: Generation task offloading by in-context learning
H Zhou, C Hu, D Yuan, Y Yuan, D Wu, X Liu, Z Han, J Zhang
IEEE Wireless Communications Letters, 2024
62024
Self-Refined Generative Foundation Models for Wireless Traffic Prediction
C Hu, H Zhou, D Wu, X Chen, J Yan, X Liu
arXiv preprint arXiv:2408.10390, 2024
62024
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models
H Zhou, C Hu, X Liu
arXiv preprint arXiv:2405.17439, 2024
42024
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
42022
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
42022
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
32023
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
32021
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
22023
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 12,218,804, 2025
12025
Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective
H Zhou, C Hu, D Yuan, Y Yuan, D Wu, X Chen, H Tabassum, X Liu
arXiv preprint arXiv:2411.04136, 2024
12024
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 11,991,531, 2024
2024
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