Yunming Liao

434 total citations
21 papers, 258 citations indexed

About

Yunming Liao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yunming Liao has authored 21 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Yunming Liao's work include Privacy-Preserving Technologies in Data (18 papers), Stochastic Gradient Optimization Techniques (12 papers) and Cryptography and Data Security (5 papers). Yunming Liao is often cited by papers focused on Privacy-Preserving Technologies in Data (18 papers), Stochastic Gradient Optimization Techniques (12 papers) and Cryptography and Data Security (5 papers). Yunming Liao collaborates with scholars based in China and United States. Yunming Liao's co-authors include Lun Wang, Hongli Xu, Yang Xu, Jianchun Liu, Chunming Qiao, Qian Chen, Yang Xu, Zhiyuan Wang, Chen Qian and Hongli Xu and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Computer Networks and IEEE Transactions on Mobile Computing.

In The Last Decade

Yunming Liao

15 papers receiving 257 citations

Peers

Countries citing papers authored by Yunming Liao

Since Specialization

Citations

This map shows the geographic impact of Yunming Liao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yunming Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunming Liao more than expected).

Fields of papers citing papers by Yunming Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yunming Liao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yunming Liao. The network helps show where Yunming Liao may publish in the future.

Co-authorship network of co-authors of Yunming Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Yunming Liao. A scholar is included among the top collaborators of Yunming Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunming Liao. Yunming Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Towards layer-wise quantization for heterogeneous federated clients 2025 ·Computer Networks ·Yang Xu, (unknown), Hongli Xu, Chengxian Guo, Yunming Liao, (unknown)	0
2	PairingFL: Efficient Federated Learning With Model Splitting and Client Pairing 2025 ·(unknown), (unknown), Yang Xu, Yunming Liao, Hongli Xu, Lun Wang	0
3	LOGO-CL: Accelerating semi-supervised federated learning in edge computing 2025 ·Computer Networks ·Yang Xu, (unknown), (unknown), Yunming Liao, Liusheng Huang, (unknown)	0
4	Enhancing Federated Learning Through Layer-Wise Aggregation Over Non-IID Data 2025 ·IEEE Transactions on Services Computing ·Yang Xu, (unknown), Zhiyuan Wang, Hongli Xu, Yunming Liao	0
5	Lightweight and Post-Training Structured Pruning for On-Device Large Language Models 2025 ·IEEE Transactions on Mobile Computing ·(unknown), Yang Xu, Hongli Xu, Yunming Liao, (unknown), (unknown)	0
6	Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices 2025 ·IEEE Transactions on Mobile Computing ·(unknown), Yunming Liao, Hongli Xu, Yang Xu, Jianchun Liu, Chen Qian	0
7	MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation 2024 ·Yunming Liao, (unknown), Hongli Xu, (unknown), (unknown), Chunming Qiao	9
8	FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing 2024 ·Yang Xu, Yunming Liao, (unknown), Zhiyuan Wang, Lun Wang, Jianchun Liu, Qian Chen	1
9	Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing 2024 ·IEEE Transactions on Mobile Computing ·Jianchun Liu, (unknown), Hongli Xu, Yunming Liao, (unknown), (unknown), Chen Qian	2
10	Asynchronous Decentralized Federated Learning for Heterogeneous Devices 2024 ·IEEE/ACM Transactions on Networking ·Yunming Liao, Yang Xu, Hongli Xu, (unknown), Lun Wang, Chunming Qiao	6
11	ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues 2024 ·Yunming Liao, Yang Xu, Hongli Xu, (unknown), Liusheng Huang, Chunming Qiao	10
12	Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks 2024 ·IEEE/ACM Transactions on Networking ·Jianchun Liu, (unknown), Hongli Xu, Yang Xu, Yunming Liao, Jinyang Huang, He Huang	9
13	Ferrari: A Personalized Federated Learning Framework for Heterogeneous Edge Clients 2024 ·IEEE Transactions on Mobile Computing ·(unknown), Jianchun Liu, Hongli Xu, Lun Wang, Chen Qian, Yunming Liao	15
14	Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning 2024 ·IEEE Transactions on Mobile Computing ·Yang Xu, Yunming Liao, Lun Wang, Hongli Xu, Zhida Jiang, Wuyang Zhang	9
15	YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning 2023 ·IEEE/ACM Transactions on Networking ·(unknown), Jianchun Liu, Hongli Xu, Yunming Liao, Zhiyuan Wang, (unknown)	20
16	Decentralized Federated Learning with Data Feature Transmission and Neighbor Selection 2023 ·(unknown), Yang Xu, Hongli Xu, Yunming Liao	3
17	Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants 2023 ·IEEE Transactions on Mobile Computing ·Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian, Chunming Qiao	8
18	Accelerating Federated Learning With Data and Model Parallelism in Edge Computing 2023 ·IEEE/ACM Transactions on Networking ·Yunming Liao, Yang Xu, Hongli Xu, (unknown), Lun Wang, Chunming Qiao	37
19	Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning 2022 ·IEEE Transactions on Mobile Computing ·Yang Xu, Yunming Liao, Hongli Xu, (unknown), Lun Wang, Jianchun Liu	70
20	Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing 2022 ·2022 IEEE 38th International Conference on Data Engineering (ICDE) ·Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang	18

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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