My full publication list can be found on my Google Scholar profile.
[EMNLP] Contextual Causality with Large Language Models: A Survey
Y. Zhao, J. Yan, and C. Hu. In Conference on Empirical Methods in Natural Language Processing, to appear.
[TR-E] Deep Reinforcement Learning for Optimizing Mobile Depots Allocation and Hybrid Fulfillment in Last-Mile Delivery Under User Behavioral Uncertainty
S. Hou, C. Hu, A. Chowdary, B. Ghaddar, J. Naoum-Sawaya, and J. Gao. In Transportation Research Part E: Logistics and Transportation Review, vol. 216, pp. 105170-105195, Aug. 2026.
[ICML] FedFit: Federated Dynamic Pruning via Fisher Information Scoring
M. Bi, H. Huang, J. Song, C. Wang, C. Hu, X. Chen, T. Yu, and X. Liu. In International Conference on Machine Learning, pp. 01- 22, Jul. 2026.
[TVT] Self-Refined Generative Foundation Models for Wireless Traffic Prediction (IEEE ComSoc Best Readings)
C. Hu, H. Zhou, D. Wu, X. Chen, J. Yan, and X. Liu. In IEEE Transactions on Vehicular Technology, vol. 75, no.6, pp. 12025-12030, Jun. 2026.
[WCM] Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective (IEEE ComSoc Best Readings)
H. Zhou, C. Hu, D. Yuan, Y. Yuan, D. Wu, X. Chen, H. Tabassum, and X. Liu. In IEEE Wireless Communications Magazine, vol. 32, no. 4, pp. 98-106, Aug. 2025.
[ML4Wireless@ICML25] Prompting Wireless Networks: Reinforced In-Context Learning for Power Control
C. Hu, H. Zhou, D. Yuan, Y. Yuan, D. Wu, X. Liu, and J. Zhang. In International Conference on Machine Learning Workshop on Machine Learning for Wireless Communication and Networks, pp. 01-12, Jul. 2025.
[ML4Wireless@ICML25] Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
Y. Lin, H. Zhou, C. Hu, X. Liu, H. Chen, Y. Xin, and J. Zhang. In International Conference on Machine Learning Workshop on Machine Learning for Wireless Communication and Networks, pp. 01-16, Jul. 2025.
[COMST] Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities (IEEE ComSoc Best Readings)
H. Zhou, C. Hu, Y. Yuan, Y. Cui, Y. Jin, C. Chen, H. Wu, D. Yuan, L. Jiang, D. Wu, X. Liu, J. Zhang, X. Wang, and J. Liu. In IEEE Communications Surveys & Tutorials, vol. 27, no. 3, pp. 1955-2005, Jun. 2025.
[WCL] 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, and J. Zhang. In IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 711-715, Mar. 2025.
[ICLR] 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, and X. Liu. In International Conference on Learning Representations, pp. 01-16, May 2024.
[GLOBECOM] AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting
C. Hu, J. Wang, D. Wu, Y. Xin, J. Zhang, X. Liu, and G. Dudek. In IEEE Global Communications Conference, pp. 7399-7404, Dec. 2023.
[TSG] Reinforcement Learning-Based Adaptive Feature Boosting for Smart Grid Intrusion Detection
C. Hu, J. Yan, and X. Liu. In IEEE Transactions on Smart Grid, vol. 14, no. 4, pp. 3150-3163, Jul. 2023.
[GLOBECOM] Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting
C. Hu, J. Wang, D. Wu, X. Liu, and G. Dudek. In IEEE Global Communications Conference, pp. 2316-2321, Dec. 2022.
[GLOBECOM] AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting
C. Hu, X. Chen, J. Wang, H. Li, J. Kang, Y. Xu, X. Liu, D. Wu, S. Jang, I. Park, and G. Dudek. In IEEE Global Communications Conference, pp. 01-06, Dec. 2021
[PESGM] Adaptive Feature Boosting of Multi-Sourced Deep Autoencoders for Smart Grid Intrusion Detection
C. Hu, J. Yan, and X. Liu. In IEEE Power & Energy Society General Meeting, pp. 01-05, Aug. 2020.
[EPEC] Robust Feature Extraction and Ensemble Classification Against Cyber-Physical Attacks in the Smart Grid
C. Hu, J. Yan, and C. Wang. In IEEE Canada Electrical Power and Energy Conference, pp. 01-06, Oct. 2019.
[PESGM] Advanced Cyber-Physical Attack Classification with Extreme Gradient Boosting for Smart Transmission Grids
C. Hu, J. Yan, and C. Wang. In IEEE Power & Energy Society General Meeting, pp. 01-05, Aug. 2019.