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Lixin Cui

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

Achievements

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+7 more ↓ 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (12)
🌍 Conference Polyglot (5) 🏃 Academic Marathon (5) 🤝 Dynamic Duo (12) 🔬 Deep Specialist (14) 🗃️ Keyword Collector (68) Prolific Year (8) 💎 Century Club (12)

Conferences

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

Papers

Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding ACL 2026 HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters AAAI 2026 Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction AAAI 2026 SSHPool: The Separated Subgraph-based Hierarchical Pooling AAAI 2026 GCIB: Causal Intervention Guided Graph Information Bottleneck Framework 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 HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning AAAI 2026 DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification IJCAI 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 ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks ICML 2025 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 HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks 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 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