Jiahao Liu

Orcid: 0000-0002-5654-5902

Affiliations:

Fudan University, Shanghai, China

According to our database¹, Jiahao Liu authored at least 18 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2025

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems.

[BibT_eX]

[DOI]

CoRR, May, 2025

Enhancing LLM-Based Recommendations Through Personalized Reasoning.

[BibT_eX]

[DOI]

CoRR, February, 2025

Enhancing Cross-Domain Recommendations with Memory-Optimized LLM-Based User Agents.

[BibT_eX]

[DOI]

CoRR, February, 2025

Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling.

[BibT_eX]

[DOI]

CoRR, February, 2025

Filtering Discomforting Recommendations with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Improving LLM-powered Recommendations with Personalized Information.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Unbiased Collaborative Filtering with Fair Sampling.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Recommendation Unlearning via Matrix Correction.

[BibT_eX]

[DOI]

CoRR, 2023

Personalized Graph Signal Processing for Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoSeqRec: Autoencoder for Efficient Sequential Recommendation.

[BibT_eX]

[DOI]

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

2022

FIRE: Fast Incremental Recommendation with Graph Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Parameter-free Dynamic Graph Embedding for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Jiahao Liu

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