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Zenglin Xu — most-cited papers & profile · AI for Code
← authors
·
overview
Zenglin Xu
39
papers ·
385
citations ·
52
h-index
Shanghai Academy of Social Sciences · Fudan University · Artificial Intelligence Research Institute · Shanghai Academy of Environmental Sciences
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Most-cited papers
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
2023 · 234 citations
FedLab: A Flexible Federated Learning Framework
2021 · 64 citations
Rectifying the Shortcut Learning of Background for Few-Shot Learning
2021 · 45 citations
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
2023 · 11 citations
Stochastic Clustered Federated Learning
2023 · 10 citations
FedNoisy: Federated Noisy Label Learning Benchmark
2023 · 4 citations
Latent Dirichlet Allocation in Generative Adversarial Networks
2018 · 3 citations
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
2023 · 3 citations
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
2023 · 3 citations
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
2024 · 2 citations
Encoded Gradients Aggregation against Gradient Leakage in Federated Learning
2022 · 1 citations
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
2022 · 1 citations
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
2023 · 1 citations
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients
2023 · 1 citations
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning
2024 · 1 citations
Topics
Federated Learning
Privacy
Data Heterogeneity
Optimization
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GNN Architectures
Theory & Expressivity
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