Chenqi Guo
Orcid: 0000-0001-6204-3047
According to our database1,
Chenqi Guo
authored at least 10 papers
between 2021 and 2025.
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Bibliography
2025
MOHFL: Multi-Level One-Shot Hierarchical Federated Learning With Enhanced Model Aggregation Over Non-IID Data.
IEEE Trans. Netw. Serv. Manag., June, 2025
A Fully Parallel and Scalable FDSE Approach Based on Balanced Measurements Partitioning and Graph Node-Centric Hash Storage.
IEEE Trans. Ind. Informatics, March, 2025
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification.
CoRR, March, 2025
KnowGNN: a knowledge-aware and structure-sensitive model-level explainer for graph neural networks.
Appl. Intell., January, 2025
Recommendation feedback-based dynamic adaptive training for efficient social item recommendation.
Expert Syst. Appl., 2025
Byzantine-robust one-shot federated learning based on hybrid-domain fuzzy clustering and meta learning.
Expert Syst. Appl., 2025
Expert Syst. Appl., 2025
2024
GAXG: A Global and Self-Adaptive Optimal Graph Topology Generation Framework for Explaining Graph Neural Networks.
IEEE Trans. Netw. Sci. Eng., 2024
Expert Syst. Appl., 2024
2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021