[TVT] Self-Refined Generative Foundation Models for Wireless Traffic Prediction (IEEE ComSoc Best Readings in Generative Foundation Models for NextG Communication Networks)
Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, and Xue Liu. In IEEE Transactions on Vehicular Technology, early access
Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective (IEEE ComSoc Best Readings in Generative Foundation Models for NextG Communication Networks)
Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xi Chen, Hina Tabassum, and Xue Liu. In IEEE Wireless Communications Magazine, vol. 32, no. 4, pp. 98-106, August 2025, doi: 10.1109/MWC.001.2400384
[ML4Wireless@ICML25] Prompting Wireless Networks: Reinforced In-Context Learning for Power Control
Chengming Hu, Hao Zhou, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Jianzhong (Charlie) Zhang. In International Conference on Machine Learning Workshop on Machine Learning for Wireless Communication and Networks, July 2025
[ML4Wireless@ICML25] Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
Yuyan Lin, Hao Zhou, Chengming Hu, Xue Liu, Hao Chen, Yan Xin, Jianzhong (Charlie) Zhang. In International Conference on Machine Learning Workshop on Machine Learning for Wireless Communication and Networks, July 2025
[COMST] Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities (IEEE ComSoc Best Readings in Generative Foundation Models for NextG Communication Networks)
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. In IEEE Communications Surveys & Tutorials, 2024, vol. 27, no. 3, pp. 1955-2005, June 2025, doi: 10.1109/COMST.2024.3465447
[WCL] Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning
Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, and Charlie Zhang. In IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 711-715, March 2025, doi: 10.1109/LWC.2024.3520995
[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, May 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, December 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, vol. 14, no. 4, pp. 3150-3163, July 2023, doi: 10.1109/TSG.2022.3230730
[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, December 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, December 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, May 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, December 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, August 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, October 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, August 2019
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