Jiahao Liu

Orcid: 0000-0002-5654-5902

According to our database1, Jiahao Liu authored at least 17 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models.
CoRR, May, 2025

LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems.
CoRR, May, 2025

Enhancing LLM-Based Recommendations Through Personalized Reasoning.
CoRR, February, 2025

Enhancing Cross-Domain Recommendations with Memory-Optimized LLM-Based User Agents.
CoRR, February, 2025

Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling.
CoRR, February, 2025

Filtering Discomforting Recommendations with Large Language Models.
Proceedings of the ACM on Web Conference 2025, 2025

Improving LLM-powered Recommendations with Personalized Information.
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.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Unbiased Collaborative Filtering with Fair Sampling.
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.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024
Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation.
CoRR, 2024

2023
Recommendation Unlearning via Matrix Correction.
CoRR, 2023

Personalized Graph Signal Processing for Collaborative Filtering.
Proceedings of the ACM Web Conference 2023, 2023

Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoSeqRec: Autoencoder for Efficient Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
FIRE: Fast Incremental Recommendation with Graph Signal Processing.
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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