PPaperPicks

Ming Li

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

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

DBLP profile ↗ORCID 0000-0002-1218-2804 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Lu Bai
×23
Lixin Cui
×17
Edwin R. Hancock
×13
Yue Wang
×10
Feilong Cao
×8
Hangyuan Du
×8
Ke Lu
×6
Pietro Lio
×6
Yi Wang
×6
Yujie Fang
×5
Tingyi Cai
×4
Changqin Huang
×4

Papers

  1. Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
    AAAI 2026 · Ming Li,
    Yongqi Li
    ,
    Yuting Chen
    ,
    Feilong Cao
    ,
    Ke Lv
  2. High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks
    AAAI 2026 · Ming Li,
    Yujie Fang
    ,
    Dongrui Shen
    ,
    Han Feng
    ,
    Xiaosheng Zhuang
    ,
    Kelin Xia
    ,
    Pietro Lio
  3. HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
    AAAI 2026 · Ming Li,
    Ruiting Zhao
    ,
    Zihao Yan
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Feilong Cao
  4. HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs
    AAAI 2026 ·
    Tingyi Cai
    ,
    Yunliang Jiang
    , Ming Li,
    Changqin Huang
    ,
    Yujie Fang
    ,
    Chengling Gao
    ,
    Zhonglong Zheng
  5. HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
    AAAI 2026 · Ming Li,
    Zhanle Zhu
    ,
    Xinyi Li
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Feilong Cao
    ,
    Ke Lv
  6. Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
    AAAI 2026 · Ming Li,
    Zihao Yan
    ,
    Yuting Chen
    ,
    Lixin Cui
    ,
    Lu Bai
    ,
    Feilong Cao
    ,
    Ke Lv
    ,
    Zhao Li
  7. Permutation Equivariant Framelet-based Hypergraph Neural Networks
    AAAI 2026 · Ming Li,
    Yi Wang
    ,
    Chengling Gao
    ,
    Lu Bai
    ,
    Yujie Fang
    ,
    Xiaosheng Zhuang
    ,
    Pietro Lio
  8. SSHPool: The Separated Subgraph-based Hierarchical Pooling
    AAAI 2026 ·
    Zhuo Xu
    ,
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Hangyuan Du
    ,
    Ziyu Lyu
    ,
    Yue Wang
    ,
    Edwin R. Hancock
  9. Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
    AAAI 2026 · Ming Li,
    Huiting Wang
    ,
    Yuting Chen
    ,
    Lu Bai
    ,
    Lixin Cui
    ,
    Feilong Cao
    ,
    Ke Lv
  10. AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract)
    ICDE 2025 ·
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Peng Ren
    ,
    Yue Wang
    ,
    Lichi Zhang
    ,
    Philip S. Yu
    ,
    Edwin R. Hancock
  11. AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
    IJCAI 2025 ·
    Lu Bai
    ,
    Feifei Qian
    ,
    Lixin Cui
    , Ming Li,
    Hangyuan Du
    ,
    Yue Wang
    ,
    Edwin R. Hancock
  12. All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning
    IJCAI 2025 ·
    Yi Wang
    ,
    Changqin Huang
    , Ming Li,
    Tingyi Cai
    ,
    Zhonglong Zheng
    ,
    Xiaodi Huang
  13. An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
    IJCAI 2025 ·
    Zhehan Zhao
    ,
    Lu Bai
    , Ming Li,
    Lixin Cui
    ,
    Hangyuan Du
    ,
    Yue Wang
    ,
    Edwin R. Hancock
  14. DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
    AAAI 2025 ·
    Feifei Qian
    ,
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Ziyu Lyu
    ,
    Hangyuan Du
    ,
    Edwin R. Hancock
  15. DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
    IJCAI 2025 ·
    Xinya Qin
    ,
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Ziyu Lyu
    ,
    Hangyuan Du
    ,
    Edwin R. Hancock
  16. Deep Hypergraph Neural Networks with Tight Framelets
    AAAI 2025 · Ming Li,
    Yujie Fang
    ,
    Yi Wang
    ,
    Han Feng
    ,
    Yongchun Gu
    ,
    Lu Bai
    ,
    Pietro Liò
  17. ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
    ICML 2025 ·
    Zhehan Zhao
    ,
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Ziyu Lyu
    ,
    Lixiang Xu
    ,
    Yue Wang
    ,
    Edwin R. Hancock
  18. EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
    ICML 2025 · Ming Li,
    Yukang Cheng
    ,
    Lu Bai
    ,
    Feilong Cao
    ,
    Ke Lv
    ,
    Jiye Liang
    ,
    Pietro Lio
  19. Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
    IJCAI 2025 ·
    Feifei Qian
    ,
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Hangyuan Du
    ,
    Yue Wang
    ,
    Edwin R. Hancock
  20. HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
    IJCAI 2025 ·
    Xinya Qin
    ,
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Hangyuan Du
    ,
    Yue Wang
    ,
    Edwin R. Hancock
  21. HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract)
    ICDE 2025 ·
    Lu Bai
    ,
    Lixin Cui
    ,
    Yue Wang
    , Ming Li,
    Jing Li
    ,
    Philip S. Yu
    ,
    Edwin R. Hancock
  22. HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
    NeurIPS 2025 ·
    Kaixuan Yao
    ,
    Zhuo Li
    ,
    Jianqing Liang
    ,
    Jiye Liang
    , Ming Li,
    Feilong Cao
  23. HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks
    ICML 2025 ·
    Tingyi Cai
    ,
    Yunliang Jiang
    , Ming Li,
    Lu Bai
    ,
    Changqin Huang
    ,
    Yi Wang
  24. MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
    IJCAI 2025 ·
    Jiandong Shi
    , Ming Li,
    Lu Bai
    ,
    Feilong Cao
    ,
    Ke Lu
    ,
    Jiye Liang
  25. ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
    AAAI 2025 ·
    Tingyi Cai
    ,
    Yunliang Jiang
    , Ming Li,
    Changqin Huang
    ,
    Yi Wang
    ,
    Qionghao Huang
  26. MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
    NeurIPS 2025 ·
    Xinya Qin
    ,
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Hangyuan Du
    ,
    Edwin R. Hancock
  27. SPADE: Spatial-Aware Denoising Network for Open-Vocabulary Panoptic Scene Graph Generation with Long- and Local-Range Context Reasoning
    ICCV 2025 ·
    Xin Hu
    ,
    Ke Qin
    ,
    Guiduo Duan
    , Ming Li,
    Yuan-Fang Li
    ,
    Tao He
  28. Test-Time Graph Neural Dataset Search With Generative Projection
    ICML 2025 ·
    Xin Zheng
    ,
    Wei Huang
    ,
    Chuan Zhou
    , Ming Li,
    Shirui Pan
  29. When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
    AAAI 2025 · Ming Li,
    Yongchun Gu
    ,
    Yi Wang
    ,
    Yujie Fang
    ,
    Lu Bai
    ,
    Xiaosheng Zhuang
    ,
    Pietro Liò
  30. HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
    NeurIPS 2024 ·
    Lu Bai
    ,
    Zhuo Xu
    ,
    Lixin Cui
    , Ming Li,
    Yue Wang
    ,
    Edwin R. Hancock
  31. How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
    ICML 2024 ·
    Keke Huang
    ,
    Yu Guang Wang
    , Ming Li,
    Pietro Lio
  32. QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
    ICML 2024 ·
    Lu Bai
    ,
    Lixin Cui
    , Ming Li,
    Yue Wang
    ,
    Edwin R. Hancock
  33. Real-time E-bike Route Planning with Battery Range Prediction
    WSDM 2024 ·
    Zhao Li
    ,
    Guoqi Ren
    ,
    Yongchun Gu
    ,
    Siwei Zhou
    ,
    Xuanwu Liu
    ,
    Jiaming Huang
    , Ming Li