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Xiaoying Tang — most-cited papers & profile · Recommender Systems
← authors
·
overview
Xiaoying Tang
34
papers ·
39
citations ·
0
h-index
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Most-cited papers
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
2022 · 9 citations
DELTA: Diverse Client Sampling for Fasting Federated Learning
2022 · 8 citations
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
2023 · 6 citations
Save It All: Enabling Full Parameter Tuning For Federated Large Language Models Via Cycle Block Gradient Descent
2024 · 3 citations
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
2024 · 2 citations
Prostate Segmentation using 2D Bridged U-net
2018 · 2 citations
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification
2022 · 2 citations
FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems
2023 · 2 citations
ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis
2025 · 1 citations
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
2023 · 1 citations
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
2023 · 1 citations
CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift
2026
FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
2026
FUPareto: Bridging the Forgetting-Utility Gap in Federated Unlearning via Pareto Augmented Optimization
2026
Multi-Physics: A Comprehensive Benchmark for Multimodal LLMs Reasoning on Chinese Multi-Subject Physics Problems
2025
Topics
Federated Learning
Medical Imaging
Data Heterogeneity
Privacy
Segmentation
Communication
Optimization
cs.LG
Benchmarks
Image Generation