Lixin Cui

Venues

Frequent coauthors

Papers

1. GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
   AAAI 2026 ·

   Hangyuan Du

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2. HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
   AAAI 2026 ·

   Ming Li

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3. HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
   AAAI 2026 ·

   Ming Li

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4. LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
   AAAI 2026 ·

   Lin Du

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5. Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
   AAAI 2026 ·

   Ming Li

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6. Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding
   ACL 2026 ·

   Yupeng Qi

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7. RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation
   WWW 2026 ·

   Jin Zeng

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8. SSHPool: The Separated Subgraph-based Hierarchical Pooling
   AAAI 2026 ·

   Zhuo Xu

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9. Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
   AAAI 2026 ·

   Ming Li

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10. AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract)
    ICDE 2025 ·

    Lu Bai

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11. AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
    IJCAI 2025 ·

    Lu Bai

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12. An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
    IJCAI 2025 ·

    Zhehan Zhao

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13. DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
    AAAI 2025 ·

    Feifei Qian

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14. DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
    IJCAI 2025 ·

    Xinya Qin

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15. Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation
    ICDM 2025 ·

    Yue Wang

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16. ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
    ICML 2025 ·

    Zhehan Zhao

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17. Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
    IJCAI 2025 ·

    Feifei Qian

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18. FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System
    SIGIR 2025 ·

    Yuhan Hu

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19. HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
    IJCAI 2025 ·

    Xinya Qin

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20. HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract)
    ICDE 2025 ·

    Lu Bai

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21. MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework
    EMNLP 2025 ·

    Yupeng Qi

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22. MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
    NeurIPS 2025 ·

    Xinya Qin

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23. HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
    NeurIPS 2024 ·

    Lu Bai

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24. QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
    ICML 2024 ·

    Lu Bai

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