Yunming Liao - RankMe

41 papers A* 4B 4Journal 32Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asynchronous Federated Learning Over Non-IID Data via Over-the-Air Computation. IEEE Trans. Netw. Qianpiao Ma, Xiaozhu Song, Junlong Zhou, Haibo Wang, Yunming Liao, Jianchun Liu, Hongli Xu
2026	J	`jnl`	Decentralized federated learning with vertical model parallelism and topology construction. Comput. Networks Yang Xu, Zuan Xie, Hongli Xu, Yunming Liao, Zhiwei Yao
2026	J	`jnl`	Federated fine-tuning on heterogeneous data with alternating device-to-device collaboration. Comput. Networks Xitong Fu, Zhiwei Yao, Yang Xu, Hongli Xu, Yunming Liao
2026	J	`jnl`	Heterogeneity-Aware Federated Meta Learning for Personalized Edge Devices. IEEE Trans. Mob. Comput. Ying Zhu, Yang Xu, Hongli Xu, Yunming Liao, Zhiwei Yao, Liusheng Huang
2026	J	`jnl`	Lightweight and Post-Training Structured Pruning for On-Device Large Language Models. IEEE Trans. Mob. Comput. Zihuai Xu, Yang Xu, Hongli Xu, Yunming Liao, Zhiwei Yao, Zuan Xie
2025	J	`jnl`	A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language Models. CoRR Zuan Xie, Yang Xu, Hongli Xu, Yunming Liao, Zhiwei Yao
2025	J	`jnl`	Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices. IEEE Trans. Mob. Comput. Jun Liu, Yunming Liao, Hongli Xu, Yang Xu, Jianchun Liu, Chen Qian
2025	J	`jnl`	Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation. CoRR Ying Zhu, Yang Xu, Hongli Xu, Yunming Liao, Zhiwei Yao, Liusheng Huang
2025	J	`jnl`	DySTop. CoRR Yizhou Shi, Qianpiao Ma, Yang Xu, Junlong Zhou, Ming Hu, Yunming Liao, Hongli Xu
2025	J	`jnl`	Efficient Deployment of Large Language Models on Resource-constrained Devices. CoRR Zhiwei Yao, Yang Xu, Hongli Xu, Yunming Liao, Zuan Xie
2025	J	`jnl`	Enhancing Federated Learning Through Layer-Wise Aggregation Over Non-IID Data. IEEE Trans. Serv. Comput. Yang Xu, Ying Zhu, Zhiyuan Wang, Hongli Xu, Yunming Liao
2025	J	`jnl`	Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing. IEEE Trans. Mob. Comput. Jianchun Liu, Jun Liu, Hongli Xu, Yunming Liao, Zhiwei Yao, Min Chen, Chen Qian
2025	J	`jnl`	Enhancing Split Federated Learning With Worker Clustering and Feature Compression. IEEE J. Sel. Areas Commun. Yang Xu, Yunming Liao, Hongli Xu, Zhiwei Yao, Junhao Cheng, Chunming Qiao
2025	J	`jnl`	FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing. IEEE Trans. Netw. Yang Xu, Yunming Liao, Hongli Xu, Zhiyuan Wang, Lun Wang, Jianchun Liu, Chen Qian
2025	B	`conf`	Federated Fine-Tuning on Heterogeneous Devices with Adaptive Quantization and LoRA Depths. ICPADS Qianshu Wang, Yang Xu, Hongli Xu, Liusheng Huang, Yunming Liao, Jun Liu
2025	J	`jnl`	LOGO-CL: Accelerating semi-supervised federated learning in edge computing. Comput. Networks Yang Xu, Qianshu Wang, Hongli Xu, Yunming Liao, Liusheng Huang, Xin Hang
2025	J	`jnl`	Lightweight and Post-Training Structured Pruning for On-Device Large Lanaguage Models. CoRR Zihuai Xu, Yang Xu, Hongli Xu, Yunming Liao, Zhiwei Yao, Zuan Xie
2025	—	`conf`	MPLS: Stacking Diverse Layers Into One Model for Decentralized Federated Learning. Euro-Par (1) Yang Xu, Zhiwei Yao, Hongli Xu, Yunming Liao, Zuan Xie
2025	J	`jnl`	PairingFL: Efficient Federated Learning With Model Splitting and Client Pairing. IEEE Trans. Netw. Zhiwei Yao, Ji Qi, Yang Xu, Yunming Liao, Hongli Xu, Lun Wang
2025	J	`jnl`	Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data. CoRR Jun Liu, Yunming Liao, Hongli Xu, Yang Xu
2025	J	`jnl`	Towards layer-wise quantization for heterogeneous federated clients. Comput. Networks Yang Xu, Junhao Cheng, Hongli Xu, Changyu Guo, Yunming Liao, Zhiwei Yao
2024	J	`jnl`	Accelerating Federated Learning With Data and Model Parallelism in Edge Computing. IEEE/ACM Trans. Netw. Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Lun Wang, Chunming Qiao
2024	B	`conf`	Accelerating Hierarchical Federated Learning with Model Splitting in Edge Computing. ICPADS Xiangnan Wang, Yang Xu, Hongli Xu, Zhipeng Sun, Yunming Liao, Ji Qi
2024	J	`jnl`	Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices. CoRR Jun Liu, Yunming Liao, Hongli Xu, Yang Xu, Jianchun Liu, Chen Qian
2024	J	`jnl`	Asynchronous Decentralized Federated Learning for Heterogeneous Devices. IEEE/ACM Trans. Netw. Yunming Liao, Yang Xu, Hongli Xu, Min Chen, Lun Wang, Chunming Qiao
2024	J	`jnl`	Collaborative Inference for Large Models with Task Offloading and Early Exiting. CoRR Zuan Xie, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Yao
2024	J	`jnl`	Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants. IEEE Trans. Mob. Comput. Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian, Chunming Qiao
2024	J	`jnl`	Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks. IEEE/ACM Trans. Netw. Jianchun Liu, Shilong Wang, Hongli Xu, Yang Xu, Yunming Liao, Jinyang Huang, He Huang
2024	B	`conf`	Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization. CCGrid Xin Hang, Yang Xu, Hongli Xu, Yunming Liao, Lun Wang
2024	J	`jnl`	Ferrari: A Personalized Federated Learning Framework for Heterogeneous Edge Clients. IEEE Trans. Mob. Comput. Zhiwei Yao, Jianchun Liu, Hongli Xu, Lun Wang, Chen Qian, Yunming Liao
2024	A*	`conf`	MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. ICDE Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao
2024	J	`jnl`	Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning. IEEE Trans. Mob. Comput. Yang Xu, Yunming Liao, Lun Wang, Hongli Xu, Zhida Jiang, Wuyang Zhang
2024	A*	`conf`	ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues. MobiCom Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Liusheng Huang, Chunming Qiao
2024	J	`jnl`	ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues. CoRR Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Liusheng Huang, Chunming Qiao
2024	J	`jnl`	YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning. IEEE/ACM Trans. Netw. Jun Liu, Jianchun Liu, Hongli Xu, Yunming Liao, Zhiyuan Wang, Qianpiao Ma
2023	A*	`conf`	Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. INFOCOM Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian
2023	J	`jnl`	Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning. IEEE Trans. Mob. Comput. Yang Xu, Yunming Liao, Hongli Xu, Zhenguo Ma, Lun Wang, Jianchun Liu
2023	J	`jnl`	MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. CoRR Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao
2022	J	`jnl`	Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. CoRR Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian
2022	B	`conf`	Decentralized Federated Learning with Data Feature Transmission and Neighbor Selection. ICPADS Wenxiao Lou, Yang Xu, Hongli Xu, Yunming Liao
2022	A*	`conf`	Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. ICDE Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang