PPaperPicks

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

Venues

Frequent coauthors

Ming Li
×23
Lixin Cui
×23
Edwin R. Hancock
×13
Yue Wang
×11
Hangyuan Du
×9
Ziyu Lyu
×8
Feilong Cao
×6
Ke Lu
×5
Lichi Zhang
×4
Yi Wang
×4
Pietro Liò
×4
Yuting Chen
×3

Papers

  1. HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
    AAAI 2026 ·
    Ming Li
    ,
    Ruiting Zhao
    ,
    Zihao Yan
    , Lu Bai,
    Lixin Cui
    ,
    Feilong Cao
  2. 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
  3. 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
  4. 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
  5. Permutation Equivariant Framelet-based Hypergraph Neural Networks
    AAAI 2026 ·
    Ming Li
    ,
    Yi Wang
    ,
    Chengling Gao
    , Lu Bai,
    Yujie Fang
    ,
    Xiaosheng Zhuang
    ,
    Pietro Lio
  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. Deep Hypergraph Neural Networks with Tight Framelets
    AAAI 2025 ·
    Ming Li
    ,
    Yujie Fang
    ,
    Yi Wang
    ,
    Han Feng
    ,
    Yongchun Gu
    , Lu Bai,
    Pietro Liò
  16. 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
  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. FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System
    SIGIR 2025 ·
    Yuhan Hu
    ,
    Ziyu Lyu
    , Lu Bai,
    Lixin Cui
  21. 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
  22. 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
  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. 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
  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. RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
    MICCAI 2025 ·
    Yusong Sun
    ,
    Dongdong Chen
    ,
    Mengjun Liu
    ,
    Zhenrong Shen
    ,
    Zhiyun Song
    ,
    Yuqi Hu
    ,
    Manman Fei
    ,
    Xu Han
    ,
    Zelin Liu
    ,
    Xingkai Fang
    , Lu Bai,
    Lichi Zhang
  28. Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
    MICCAI 2025 ·
    Manman Fei
    ,
    Zhenrong Shen
    ,
    Mengjun Liu
    ,
    Zhiyun Song
    ,
    Yusong Sun
    ,
    Xu Han
    ,
    Zelin Liu
    ,
    Haotian Jiang
    , Lu Bai,
    Qian Wang
    ,
    Lichi Zhang
  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. QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
    ICML 2024 · Lu Bai,
    Lixin Cui
    ,
    Ming Li
    ,
    Yue Wang
    ,
    Edwin R. Hancock