| 2025 | ICNP | Energy-Efficient Federated Learning via Dynamic Distillation and Cloud-Network Collaboration. | Yihan Chen, Haowen Xu, Yi Dong, Benteng Zhang, Xiaoming He, Miao Du, Yingchi Mao |
| 2025 | ICPADS | LLM-Driven Cloud-Edge Collaboration for Resilient Multi-UAV Task Planning. | Xuan Ling, Yingchi Mao, Yu Tang, Benteng Zhang, Yi Rong, Xiaoming He |
| 2025 | INFOCOM | Adaptive Federated Learning for Large Models with Scarce and Non-IID Data in Cloud-Edge Networks. | Benteng Zhang, Yingchi Mao, Peng Zhang, Haotian Zheng, Xiaoming He, Jiawen Kang, Jie Wu |
| 2025 | IWQoS | HFHEMS: Energy-Efficient Hierarchical Federated Learning via Model Distillation. | Yihan Chen, Yingchi Mao, Benteng Zhang, Qinxiao Deng, Xiang Li, Xiaoming He |
| 2025 | MASS | Efficient Zero-Cost Neural Architecture Search for Personalized AI Systems in Cloud-Edge Networks. | Kai Huang, Yingchi Mao, Benteng Zhang, Yihan Chen, Yuchu Chen, Jie Wu |
| 2025 | NPC | Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices. | Qinxiao Deng, Tianfu Pang, Benteng Zhang, Bingbing Nie, Xiaoming He, Yingchi Mao, Jie Wu |
| 2025 | VTC | Temperature-Aware Adaptive Federated Distillation for Energy-Constrained AIoT with Non-IID Data. | Yingchi Mao, Jiakai Zhang, Litao Qu, Zicheng Wang, Benteng Zhang, Xiaoming He |
| 2024 | HPCC | FedMHC: Overcoming Dimensionality and Communication Challenges for Personalized Federated Learning Using Model Head Clustering. | Haotian Zheng, Yingchi Mao, Haowen Xu, Xiaoming He, Benteng Zhang, Feng Mao, Jie Wu |
| 2023 | VTC | Green Resource Allocation with DDPG for Knowledge Learning in Digital Twin-enabled Edges. | Xiaoming He, Yingchi Mao, Yinqiu Liu, Benteng Zhang, Yunzhe Jiang, Yan Hong |