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Lu Bai

Central University of Finance and Economics, School of Information, Beijing, China

31 papers at tracked venues · 21 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-1033-8908 ↗

Venues

AAAI ×10IJCAI ×6ICML ×4ICDE ×2MICCAI ×2NeurIPS ×2ACL ×1EMNLP ×1ICDM ×1SIGIR ×1WWW ×1

Frequent coauthors

Ming Li
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Xinya Qin
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Yupeng Qi
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Zhehan Zhao
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Feifei Qian
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Lin Du
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Jin Zeng
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Zhuo Xu
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Yue Wang
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Yuhan Hu
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Tingyi Cai
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Jiandong Shi
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Papers

  1. HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
    AAAI 2026 ·
    Ming Li
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  2. HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
    AAAI 2026 ·
    Ming Li
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  3. LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
    AAAI 2026 ·
    Lin Du
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  4. Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
    AAAI 2026 ·
    Ming Li
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  5. Permutation Equivariant Framelet-based Hypergraph Neural Networks
    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
  11. AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
    IJCAI 2025 · Lu Bai
  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. Deep Hypergraph Neural Networks with Tight Framelets
    AAAI 2025 ·
    Ming Li
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  16. Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation
    ICDM 2025 ·
    Yue Wang
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  17. ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
    ICML 2025 ·
    Zhehan Zhao
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  18. EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
    ICML 2025 ·
    Ming Li
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  19. Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
    IJCAI 2025 ·
    Feifei Qian
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  20. FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System
    SIGIR 2025 ·
    Yuhan Hu
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  21. HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
    IJCAI 2025 ·
    Xinya Qin
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  22. HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract)
    ICDE 2025 · Lu Bai
  23. HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks
    ICML 2025 ·
    Tingyi Cai
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  24. MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
    IJCAI 2025 ·
    Jiandong Shi
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  25. 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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  26. MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
    NeurIPS 2025 ·
    Xinya Qin
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  27. RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
    MICCAI 2025 ·
    Yusong Sun
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  28. Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
    MICCAI 2025 ·
    Manman Fei
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  29. When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
    AAAI 2025 ·
    Ming Li
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  30. HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
    NeurIPS 2024 · Lu Bai
  31. QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
    ICML 2024 · Lu Bai