Author

Lixin Cui

Observed names: Cui Lixin, Cui, Lixin

Institution: Central University of Finance and Economics

Observed institutions: Beijing Institute of Technology, Central University of Finance and Economics, State Grid Corporation of China (China)

OpenAlex ID: A5129744877

A Personalized Recommendation Method Based on Collaborative Filtering Algorithm

2019 · Liu Hui, Cui Lixin, et al. · International Journal of Business and Economics Research · 4

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SOM Clustering Collaborative Filtering Algorithm Based on Singular Value Decomposition

2019 · Xiaopan Ma, Dong Guo, et al. · International Conference on Mathematics and Artificial Intelligence (ICMAI) · 3

Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation

2026 · Ming Li, Zihao Yan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1

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MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification

2025 · Xinya Qin, Lu Bai, et al. · neural information processing systems · 1

From Structure to Validity: Mechanism-Guided Generation and Refinement of LLM Rubrics

2026 · Qian, Feifei, Chen, Xuan, et al. · arXiv (Cornell University)

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ADC-GNN: Adaptive Dual-level Collaborative Graph Neural Networks for Graph Classification

2026 · Wan Tang, Lu Bai, et al. · International Joint Conference on Artificial Intelligence

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A Unified Spectral-Spatial Framework for GNNs: Balancing Over-Smoothing and Over-Squashing

2026 · Xinya Qin, Lu Bai, et al. · International Joint Conference on Artificial Intelligence

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Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding

2026 · Association for Computational Linguistics 2026, Bai, Lu, et al. · Underline Science Inc.

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily

2026 · Li, Xinyi, Li, Ming, et al. · arXiv (Cornell University)

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Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding

2026 · Qi, Yupeng, Lyu, Ziyu, et al. · arXiv (Cornell University)

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SSHPool: The Separated Subgraph-based Hierarchical Pooling

2026 · Zhuo Xu, Lu Bai, et al. · Proceedings of the AAAI Conference on Artificial Intelligence

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Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction

2026 · Ming Li, Huiting Wang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence

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GCIB: Causal Intervention Guided Graph Information Bottleneck Framework

2026 · Hangyuan Du, Rong Wang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence

HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning

2026 · Ming Li, Zhanle Zhu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence

HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters

2026 · Ming Li, Ruiting Zhao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence

LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation

2026 · Lin Du, Lu Bai, et al. · Proceedings of the AAAI Conference on Artificial Intelligence

RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation

2026 · Zeng, Jin, Qi, Yupeng, et al. · arXiv (Cornell University)

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GCIB: Causal Intervention Guided Graph Information Bottleneck Framework

2026 · Association for Artificial Intelligence 2026, Bai, Liang, et al. · Underline Science Inc.

SSHPool: The Separated Subgraph-based Hierarchical Pooling