Publications
Conferences & Journals
[ICLR] Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Jun Yan, Boyu Wang, and Xue Liu. In International Conference on Learning Representations, 2024
[GLOBECOM] AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting
Chengming Hu, Ju Wang, Di Wu, Yan Xin, Charlie Zhang, Xue Liu, and Gregory Dudek. In IEEE Global Communications Conference, 2023
[TSG] Reinforcement Learning-Based Adaptive Feature Boosting for Smart Grid Intrusion Detection
Chengming Hu, Jun Yan, and Xue Liu. In IEEE Transactions on Smart Grid, 2022.
[GLOBECOM] Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting
Chengming Hu, Ju Wang, Di Wu, Xue Liu, and Gregory Dudek. In IEEE Global Communications Conference, 2022
[GLOBECOM] A Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning
Jikun Kang, Ju Wang, Chengming Hu, Xue Liu, and Gregory Dudek. In IEEE Global Communications Conference, 2022
[ICC] Communication Traffic Prediction with Continual Knowledge Distillation
Hang Li, Ju Wang, Chengming Hu, Xi Chen, Xue Liu, Seowoo Jang, and Gregory Dudek. In IEEE International Conference on Communications, 2022
[GLOBECOM] AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting
Chengming Hu, Xi Chen, Ju Wang, Hang Li, Jikun Kang, Yi Tian Xu, Xue Liu, Di Wu, Seowoo Jang, Intaik Park, and Gregory Dudek. In IEEE Global Communications Conference, 2021
[PESGM] Adaptive Feature Boosting of Multi-Sourced Deep Autoencoders for Smart Grid Intrusion Detection
Chengming Hu, Jun Yan, and Xue Liu. In IEEE Power & Energy Society General Meeting, 2020
[EPEC] Robust Feature Extraction and Ensemble Classification Against Cyber-Physical Attacks in the Smart Grid
Chengming Hu, Jun Yan, and Chun Wang. In IEEE Canada Electrical Power and Energy Conference, 2019
[PESGM] Advanced Cyber-Physical Attack Classification with Extreme Gradient Boosting for Smart Transmission Grids
Chengming Hu, Jun Yan, and Chun Wang. In IEEE Power & Energy Society General Meeting, 2019
arXiv Preprint
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities
Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue Liu, Charlie Zhang, Xianbin Wang, and Jiangchuan Liu. arXiv:2405.10825
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu, Xuan Li, Dan Liu, Haolun Wu, Xi Chen, Ju Wang, and Xue Liu. arXiv:2308.04268
Learnable Encoder-Decoder Architecture for Dynamic Graph: A Survey
Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, and Xue Liu. arXiv:2203.10480