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Bo Han — most-cited papers & profile · Recommender Systems
← authors
·
overview
Bo Han
46
papers ·
140
citations ·
6
h-index
Fuyang Normal University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
2023 · 28 citations
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
2022 · 26 citations
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
2022 · 17 citations
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels
2022 · 14 citations
Towards Zero-trust Security for the Metaverse
2023 · 10 citations
Federated Noisy Client Learning
2021 · 8 citations
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
2023 · 6 citations
Robust Training of Federated Models with Extremely Label Deficiency
2024 · 5 citations
Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning
2025 · 3 citations
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
2021 · 3 citations
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
2024 · 3 citations
Fast and Accurate Blind Flexible Docking
2025 · 2 citations
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
2023 · 2 citations
Federated Semi-Supervised Learning with Annotation Heterogeneity
2023 · 2 citations
FedImpro: Measuring and Improving Client Update in Federated Learning
2024 · 2 citations
Topics
Federated Learning
cs.LG
Data Heterogeneity
GNN Architectures
Privacy
cs.AI
Theory & Expressivity
Communication
Multi-Agent
Model-Based RL