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Minglai Shao

Tianjin University, School of New Media and Communication, Tianjin, China

20 papers at tracked venues · 10 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation
  2. LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
  3. LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
  4. Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
  5. Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
  6. SkillGen: Learning Domain Skills for In-Context Sequential Decision Making
  7. A Survey on LLM-powered Agents for Recommender Systems
  8. Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs
  9. FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
  10. HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender
  11. Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
  12. Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection
  13. MLDGG: Meta-Learning for Domain Generalization on Graphs
  14. Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
  15. Graph Bayesian Optimization for Multiplex Influence Maximization
  16. Graph Collaborative Expert Finding with Contrastive Learning
  17. Graph Contrastive Learning via Interventional View Generation
  18. Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
  19. Supervised Algorithmic Fairness in Distribution Shifts: A Survey
    IJCAI 2024 · Minglai Shao
  20. Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments