Yuanchen Bei

Orcid: 0000-0003-2834-2873

According to our database¹, Yuanchen Bei authored at least 27 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs.

[BibT_eX]

[DOI]

CoRR, July, 2025

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.

[BibT_eX]

[DOI]

CoRR, June, 2025

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities.

[BibT_eX]

[DOI]

CoRR, June, 2025

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation.

[BibT_eX]

[DOI]

CoRR, June, 2025

AliBoost: Ecological Boosting Framework in Alibaba Platform.

[BibT_eX]

[DOI]

CoRR, June, 2025

Graph Cross-Correlated Network for Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2025

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation.

[BibT_eX]

[DOI]

CoRR, February, 2025

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2025

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap.

[BibT_eX]

[DOI]

CoRR, January, 2025

Large Language Model Simulator for Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

CLR-Bench: Evaluating Large Language Models in College-level Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Better Late Than Never: Formulating and Benchmarking Recommendation Editing.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting the Message Passing in Heterophilous Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model Interaction Simulator for Cold-Start Item Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Feedback Reciprocal Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Graph Neural Patching for Cold-Start Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Databases Theory and Applications, 2024

2023

Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Flattened Graph Convolutional Networks For Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

Yuanchen Bei

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