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• AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
  2019 · 32 citations
• Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels
  2019 · 18 citations
• Dissecting the Diffusion Process in Linear Graph Convolutional Networks
  2021 · 17 citations
• DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment
  2025 · 14 citations
• Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
  2021 · 13 citations
• Policy Representation via Diffusion Probability Model for Reinforcement Learning
  2023 · 6 citations
• Optimization-Induced Graph Implicit Nonlinear Diffusion
  2022 · 4 citations
• Parrot Mind: Towards Explaining The Complex Task Reasoning Of Pretrained Large Language Models With Template-content Structure
  2023 · 3 citations
• Reparameterized Sampling for Generative Adversarial Networks