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• ATOM: An Efficient Topology Adaptive Algorithm for Minor Embedding in Quantum Computing
  2023 · 4 citations
• Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models
  2025
• OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
  2024
• Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks
  2016
• TipTop: (Almost) Exact Solutions for Influence Maximization in Billion-scale Networks
  2017
• Vulnerability of Clustering under Node Failure in Complex Networks
  2017
• Scalable Bicriteria Algorithms for the Threshold Activation Problem in Online Social Networks
  2017
• Multiplex Influence Maximization in Online Social Networks with Heterogeneous Diffusion Models
  2018
• Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
  2020
• PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
  2020
• SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks
  2022
• MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
  2024