Yuanqiao Zhang

Orcid: 0000-0001-8349-5579

According to our database1, Yuanqiao Zhang authored at least 16 papers between 2008 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data.
CoRR, March, 2026

2025
Federated feature reconstruction with collaborative star networks.
Knowl. Based Syst., 2025

Accountable federated learning against local poisoning attacks.
Knowl. Based Syst., 2025

2024
Enhancing Federated Learning With Pattern-Based Client Clustering.
IEEE Internet Things J., December, 2024

Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework.
IEEE Trans. Cybern., September, 2024

MMPL: Multi-Objective Multi-Party Learning via Diverse Steps.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption.
IEEE Trans. Inf. Forensics Secur., 2024

2023
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion.
IEEE Internet Things J., 2023

2022
Landslide Inventory Mapping Method Based on Adaptive Histogram-Mean Distance With Bitemporal VHR Aerial Images.
IEEE Geosci. Remote. Sens. Lett., 2022

2020
MGAT: Multi-view Graph Attention Networks.
Neural Networks, 2020

2010
Collapsing the Hierarchy of Parallel Computational Models.
Int. J. Found. Comput. Sci., 2010

2009
Relations Between Several Parallel Computational Models.
Scalable Comput. Pract. Exp., 2009

2008
The Shared Memory Hierarchy: The PRAM is as Powerful as the BSR.
Proceedings of the 7th International Symposium on Parallel and Distributed Computing (ISPDC 2008), 2008

Why shared memory matters to VLSI design: The BSR is as powerful as reconfiguration.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008


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