Chengming Hu

According to our database, Chengming Hu authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective.

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xi Chen, Hina Tabassum, Xue Liu

CoRR, 2024

Self-Refined Generative Foundation Models for Wireless Traffic Prediction.

Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, Xue Liu

CoRR, 2024

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, Charlie Zhang

CoRR, 2024

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control.

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang

CoRR, 2024

An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models.

Hao Zhou, Chengming Hu, Xue Liu

CoRR, 2024

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 Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu

CoRR, 2024

Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation.

Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Reinforcement Learning-Based Adaptive Feature Boosting for Smart Grid Intrusion Detection.

Chengming Hu, Jun Yan, Xue Liu

IEEE Trans. Smart Grid, July, 2023

Teacher-Student Architecture for Knowledge Distillation: A Survey.

Chengming Hu, Xuan Li, Dan Liu, Haolun Wu, Xi Chen, Ju Wang, Xue Liu

CoRR, 2023

Phase Matching for Out-of-Distribution Generalization.

Chengming Hu, Yeqian Du, Rui Wang, Hao Chen

CoRR, 2023

AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting.

Chengming Hu, Ju Wang, Di Wu, Yan Xin, Charlie Zhang, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2023

2022

Teacher-Student Architecture for Knowledge Learning: A Survey.

Chengming Hu, Xuan Li, Dan Liu, Xi Chen, Ju Wang, Xue Liu

CoRR, 2022

Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey.

Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu

CoRR, 2022

Communication Traffic Prediction with Continual Knowledge Distillation.

Hang Li, Ju Wang, Chengming Hu, Xi Chen, Xue Liu, Seowoo Jang, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2022

A Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning.

Jikun Kang, Ju Wang, Chengming Hu, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2022

Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting.

Chengming Hu, Ju Wang, Di Wu, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2022

2021

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, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2021