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Lixin Cui

20 papers · 2020–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (24) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver 🀝 Dynamic Duo (19)
πŸ”¬ Deep Specialist (15) πŸ—ƒοΈ Keyword Collector (78) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

AAAI (8) IJCAI (6) ICML (3) ACL (1) EMNLP (1) NeurIPS (1)

Top co-authors

Lu Bai (19) Ming Li (14) Yue Wang (9) Hangyuan Du (9) Edwin Hancock (8) Ziyu Lyu (6) Feilong Cao (4) Yuting Chen (3) Edwin R. Hancock (3) Ke Lv (3)

Research topics

Deep Learning (15) Machine Learning (15) Architectures (15) Core Methods (11) Artificial Intelligence (4) Core AI (4) Learning Types Β· Machine Learning (3) Optimization & Theory Β· Machine Learning (2) Data Science & Analytics (1) Mathematics & Optimization (1) Application Areas (1) Learning Types Β· Deep Learning (1) Mathematics (1) Methods (1) Optimization & Theory Β· Deep Learning (1)

Keywords

graph neural network (10) graph classification (8) attention mechanism (4) graph kernel (4) contrastive learning (3) hierarchical pooling (2) representation learning (2) hyperedge prediction (2) self-supervised hypergraph learning (2) over-squashing problem (2) graph representation learning (2) kernel methods (2) graph autoencoder (2) model alignment (1) safety alignment (1) hierarchical alignment (1) out-of-distribution generalization (1) graph matching (1) graph representation (1) adaptive filtering (1)

Papers

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026 HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters 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 Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding ACL 2026 Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction AAAI 2026 SSHPool: The Separated Subgraph-based Hierarchical Pooling AAAI 2026 AKBR: Learning Adaptive Kernel-based Representations 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 DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification AAAI 2025 DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification IJCAI 2025 ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks ICML 2025 Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint IJCAI 2025 HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification IJCAI 2025 MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework EMNLP 2025 HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning NeurIPS 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