Meiting Xue

Orcid: 0000-0001-5207-0965

According to our database1, Meiting Xue authored at least 24 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
FedAEF: optimizing federated learning with mining and enhancing local data features.
Clust. Comput., October, 2025

Vertical federated learning based on data subset representation for healthcare application.
Comput. Methods Programs Biomed., 2025

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Federated Active Learning Based on Prototype-Based Hierarchical Clustering.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
Fine-Tuned Personality Federated Learning for Graph Data.
IEEE Trans. Big Data, June, 2024

FedPIA: Parameter Importance-Based Optimized Federated Learning to Efficiently Process Non-IID Data on Consumer Electronic Devices.
IEEE Trans. Consumer Electron., February, 2024

Fishing Vessel Type Recognition Based on Semantic Feature Vector.
Int. J. Data Warehous. Min., 2024

A novel device placement approach based on position-aware subgraph neural networks.
Neurocomputing, 2024

High-Parallelism and Pipelined Architecture for Accelerating Sort-Merge Join on FPGA.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

DynamicKV: Data Storage Strategy Based on Partition Merging of Log-Structured Merge Tree.
Proceedings of the 2nd International Conference on Computer, 2024

2023
Dual Cuckoo Filter with a Low False Positive Rate for Deep Packet Inspection.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., August, 2023

Reliable Long-Term Energy Load Trend Prediction Model for Smart Grid Using Hierarchical Decomposition Self-Attention Network.
IEEE Trans. Reliab., 2023

An Auto-Parallel Method for Deep Learning Models Based on Genetic Algorithm.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

FedAG:A Federated Learning Method Based on Data Importance Weighted Aggregation.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Personalized Federated Learning for Fast Convergence and Local Adaption: A Double Gradient Descent Method.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

A Synchronous Parallel Method with Parameters Communication Prediction for Distributed Machine Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

2022
Resource Efficient Top-<i>K</i> Sorter on FPGA.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., September, 2022

AreaHash: A Balanced and fully scalable consistency hashing algorithm.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Aware: Adaptive Distributed Training with Computation, Communication and Position Awareness for Deep Learning Model.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021
High-Parallelism Hash-Merge Architecture for Accelerating Join Operation on FPGA.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

2020
FPGA-Accelerated Hash Join Operation for Relational Databases.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

High-Throughput Parallel SRAM-Based Hash Join Architecture on FPGA.
IEEE Trans. Circuits Syst., 2020

Sorting Matrix Architecture for Continuous Data Sequences.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020


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