Lu Bai

30 papers · 2015–2026 · 7 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (9)

🌍 Conference Polyglot (6) 🏃 Academic Marathon (10) 🤝 Dynamic Duo (14) 🔬 Deep Specialist (16) 🏆 Keyword Champion (2) ⚡ Prolific Year (16) 💎 Century Club (22) 🗃️ Keyword Collector (95)

Conferences

AAAI (10) IJCAI (9) ICML (6) MICCAI (2) ACL (1) EMNLP (1) NIPS (1)

Top co-authors

Ming Li (20) Lixin Cui (19) Edwin Hancock (10) Yue Wang (9) Hangyuan Du (8) Feilong Cao (6) Ziyu Lyu (6) Ke Lv (4) Yi Wang (4) Pietro Lió (4)

Keywords

graph classification (9) graph neural network (8) graph kernel (4) hypergraph neural network (3) contrastive learning (3) attention mechanism (3) hypergraph learning (2) self-supervised hypergraph learning (2) representation learning (2) graph representation learning (2) kernel methods (2) graph auto-encoder (2) node classification (2) framelet transform (2) hyperedge prediction (2) graph representation (1) hierarchical clustering (1) modality calibration (1) emotion recognition (1) graph matching (1)

Papers

Permutation Equivariant Framelet-based Hypergraph Neural Networks AAAI 2026 HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters AAAI 2026 Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction AAAI 2026 Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding ACL 2026 SSHPool: The Separated Subgraph-based Hierarchical Pooling AAAI 2026 HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning AAAI 2026 LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation AAAI 2026 Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation AAAI 2026 AKBR: Learning Adaptive Kernel-based Representations for Graph Classification IJCAI 2025 Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint IJCAI 2025 DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification IJCAI 2025 An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection IJCAI 2025 MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition IJCAI 2025 SpaceDet: A Large-scale Space-based Image Dataset and RSO Detection for Space Situational Awareness IJCAI 2025 Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching MICCAI 2025 RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis MICCAI 2025 HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification IJCAI 2025 When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline AAAI 2025 Deep Hypergraph Neural Networks with Tight Framelets AAAI 2025 DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification AAAI 2025 MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework EMNLP 2025 HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks ICML 2025 EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction ICML 2025 ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks ICML 2025 HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning NIPS 2024 QBMK: Quantum-based Matching Kernels for Un-attributed Graphs ICML 2024 A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs ICML 2022 A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis IJCAI 2020 A Graph Kernel Based on the Jensen-Shannon Representation Alignment IJCAI 2015 An Aligned Subtree Kernel for Weighted Graphs ICML 2015