PPaperPicks

Lixin Cui

24 papers at tracked venues · 17 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

AAAI ×8IJCAI ×5ICDE ×2ICML ×2NeurIPS ×2ACL ×1EMNLP ×1ICDM ×1SIGIR ×1WWW ×1

Frequent coauthors

Lu Bai
×23
Ming Li
×17
Edwin R. Hancock
×13
Yue Wang
×11
Hangyuan Du
×10
Ziyu Lyu
×8
Feilong Cao
×4
Ke Lv
×3
Yuting Chen
×3
Yupeng Qi
×3
Philip S. Yu
×3
Feifei Qian
×3

Papers

  1. GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
    AAAI 2026 ·
    Hangyuan Du
    ,
    Rong Wang
    , Lixin Cui,
    Gaoxia Jiang
    ,
    Liang Bai
    ,
    Wenjian Wang
  2. HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
    AAAI 2026 ·
    Ming Li
    ,
    Ruiting Zhao
    ,
    Zihao Yan
    ,
    Lu Bai
    , Lixin Cui,
    Feilong Cao
  3. 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
  4. LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
    AAAI 2026 ·
    Lin Du
    ,
    Lu Bai
    ,
    Jincheng Li
    , Lixin Cui,
    Hangyuan Du
    ,
    Lichi Zhang
    ,
    Yuting Chen
    ,
    Zhao Li
  5. 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
  6. Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding
    ACL 2026 ·
    Yupeng Qi
    ,
    Ziyu Lyu
    , Lixin Cui,
    Lu Bai
    ,
    Feng Xia
  7. RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation
    WWW 2026 ·
    Jin Zeng
    ,
    Yupeng Qi
    ,
    Hui Li
    ,
    Chengming Li
    ,
    Ziyu Lyu
    , Lixin Cui,
    Lu Bai
  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. 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
  13. 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
  14. 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
  15. Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation
    ICDM 2025 ·
    Yue Wang
    ,
    Dehang Fu
    ,
    Jie Tan
    ,
    Junxiao Han
    ,
    Yao Wan
    , Lixin Cui,
    Lu Bai
    ,
    Philip S. Yu
  16. 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
  17. 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
  18. FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System
    SIGIR 2025 ·
    Yuhan Hu
    ,
    Ziyu Lyu
    ,
    Lu Bai
    , Lixin Cui
  19. 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
  20. 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
  21. MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework
    EMNLP 2025 ·
    Yupeng Qi
    ,
    Ziyu Lyu
    ,
    Min Yang
    ,
    Yanlin Wang
    ,
    Lu Bai
    , Lixin Cui
  22. 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
  23. 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
  24. QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
    ICML 2024 ·
    Lu Bai
    , Lixin Cui,
    Ming Li
    ,
    Yue Wang
    ,
    Edwin R. Hancock