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Bo Han — most-cited papers & profile · Large Language Models
← authors
·
overview
Bo Han
18
papers ·
68
citations ·
34
h-index
Weifang Medical University · Hong Kong Baptist University · Lianyungang Oriental Hospital · Second Hospital of Shandong University
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Most-cited papers
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
Federated Noisy Client Learning
2021 · 8 citations
MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation
2021 · 6 citations
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
2023 · 6 citations
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
2021 · 3 citations
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
2024 · 3 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
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation
2021 · 1 citations
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks
2023 · 1 citations
Towards out-of-distribution generalizable predictions of chemical kinetics properties
2023 · 1 citations
Federated Learning with Extremely Noisy Clients via Negative Distillation
2023 · 1 citations
How Interpretable Are Interpretable Graph Neural Networks?
2024 · 1 citations
Topics
Federated Learning
Data Heterogeneity
Ranking & CTR
Theory & Expressivity
GNN Architectures
Drug Discovery
Chemistry
Physics ML
Math & Equations
Segmentation