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Ming Li

Zhejiang Normal University, Department of Computer Science, Jinhua, China

33 papers at tracked venues · 25 at CORE A* · active 2024–2026

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Venues

AAAI ×13IJCAI ×7ICML ×6NeurIPS ×3ICDE ×2ICCV ×1WSDM ×1

Frequent coauthors

Lu Bai
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Tingyi Cai
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Xinya Qin
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Zhehan Zhao
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Feifei Qian
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Zhuo Xu
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Yi Wang
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Kaixuan Yao
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Jiandong Shi
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Xin Hu
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Xin Zheng
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Keke Huang
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Papers

  1. Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
    AAAI 2026 · Ming Li
  2. High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks
    AAAI 2026 · Ming Li
  3. HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
    AAAI 2026 · Ming Li
  4. HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs
    AAAI 2026 ·
    Tingyi Cai
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  5. HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
    AAAI 2026 · Ming Li
  6. Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
    AAAI 2026 · Ming Li
  7. Permutation Equivariant Framelet-based Hypergraph Neural Networks
    AAAI 2026 · Ming Li
  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
  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. All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning
    IJCAI 2025 ·
    Yi Wang
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  13. 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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  14. DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
    AAAI 2025 ·
    Feifei Qian
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  15. DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
    IJCAI 2025 ·
    Xinya Qin
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  16. Deep Hypergraph Neural Networks with Tight Framelets
    AAAI 2025 · Ming Li
  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
  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. HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
    IJCAI 2025 ·
    Xinya Qin
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  21. HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract)
    ICDE 2025 ·
    Lu Bai
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  22. HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
    NeurIPS 2025 ·
    Kaixuan Yao
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  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. ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
    AAAI 2025 ·
    Tingyi Cai
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  26. MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
    NeurIPS 2025 ·
    Xinya Qin
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  27. SPADE: Spatial-Aware Denoising Network for Open-Vocabulary Panoptic Scene Graph Generation with Long- and Local-Range Context Reasoning
    ICCV 2025 ·
    Xin Hu
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  28. Test-Time Graph Neural Dataset Search With Generative Projection
    ICML 2025 ·
    Xin Zheng
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  29. When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
    AAAI 2025 · Ming Li
  30. HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
    NeurIPS 2024 ·
    Lu Bai
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  31. How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
    ICML 2024 ·
    Keke Huang
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  32. QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
    ICML 2024 ·
    Lu Bai
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  33. Real-time E-bike Route Planning with Battery Range Prediction
    WSDM 2024 ·
    Zhao Li
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