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• Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
  2020 · 1777 citations
• Learning Graph Embedding with Adversarial Training Methods
  2019 · 368 citations
• R$^3$: Reinforced Reader-Ranker for Open-Domain Question Answering
  2017 · 87 citations
• Adversarially Regularized Graph Autoencoder for Graph Embedding
  2018 · 70 citations
• Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  2022 · 67 citations
• A Universal Representation Transformer Layer for Few-Shot Image Classification
  2020 · 55 citations
• Attributed Graph Clustering: A Deep Attentional Embedding Approach
  2019 · 48 citations
• Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
  2023 · 37 citations
• Multi-Center Federated Learning: Clients Clustering for Better Personalization
  2020 · 32 citations
• On the Convergence of Clustered Federated Learning
  2022 · 25 citations
• Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
  2023 · 16 citations
• FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels
  2022 · 14 citations
• Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
  2021 · 11 citations
• Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  2022 · 10 citations
• Federated Prompt Learning for Weather Foundation Models on Devices
  2023 · 6 citations