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• Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  2021 · 142 citations
• DDTCDR: Deep Dual Transfer Cross Domain Recommendation
  2019 · 36 citations
• On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
  2021 · 9 citations
• Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
  2024 · 7 citations
• BEBP: An Poisoning Method Against Machine Learning Based Idss
  2018 · 4 citations
• HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
  2021 · 4 citations
• Latent Unexpected and Useful Recommendation
  2019 · 1 citations
• CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning
  2025
• FEWT: Improving Humanoid Robot Perception with Frequency-Enhanced Wavelet-based Transformers
  2025
• When Truthful Representations Flip Under Deceptive Instructions?
  2025
• Revisiting graph neural networks and distance encoding from a practical view
  2020
• Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
  2021
• Graph as Point Set
  2024