Jiahao Liu

According to our database, Jiahao Liu authored at least 25 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents.

Jiahao Liu, Mingzhe Han, Guanming Liu, Weihang Wang, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu

CoRR, April, 2026

Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration.

Chi Zhang, Zhipeng Xu, Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu

CoRR, April, 2026

Drift-Aware Continual Tokenization for Generative Recommendation.

Yuebo Feng, Jiahao Liu, Mingzhe Han, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu

CoRR, March, 2026

RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction.

Ziye Tong, Jiahao Liu, Weimin Zhang, Hongji Ruan, Derick Tang, Zhanpeng Zeng, Qinsong Zeng, Peng Zhang, Tun Lu, Ning Gu

CoRR, February, 2026

Distribution-Aware End-to-End Embedding for Streaming Numerical Features in Click-Through Rate Prediction.

Jiahao Liu, Hongji Ruan, Weimin Zhang, Ziye Tong, Derick Tang, Zhanpeng Zeng, Qinsong Zeng, Peng Zhang, Tun Lu, Ning Gu

CoRR, February, 2026

Feature-Indexed Federated Recommendation with Residual-Quantized Codebooks.

Mingzhe Han, Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu

CoRR, January, 2026

LLM Agent-based Shilling Attack on Recommender Systems.

Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

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

Jiongran Wu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Li Shang, Tun Lu, Ning Gu

CoRR, May, 2025

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

Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu

CoRR, May, 2025

Enhancing LLM-Based Recommendations Through Personalized Reasoning.

Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu

CoRR, February, 2025

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

Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu

CoRR, February, 2025

Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling.

Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu

CoRR, February, 2025

Filtering Discomforting Recommendations with Large Language Models.

Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu

Proceedings of the ACM on Web Conference 2025, 2025

Improving LLM-powered Recommendations with Personalized Information.

Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu

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.

Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu

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

Unbiased Collaborative Filtering with Fair Sampling.

Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu

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.

Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu

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.

Guangping Zhang, Peng Zhang, Jiahao Liu, Zhuoheng Li, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu

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.

Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu

CoRR, 2024

2023

Recommendation Unlearning via Matrix Correction.

Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Jiongran Wu, Peng Zhang, Li Shang, Ning Gu

CoRR, 2023

Personalized Graph Signal Processing for Collaborative Filtering.

Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu

Proceedings of the ACM Web Conference 2023, 2023

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

Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu

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

AutoSeqRec: Autoencoder for Efficient Sequential Recommendation.

Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu

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

2022

FIRE: Fast Incremental Recommendation with Graph Signal Processing.

Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu

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.

Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

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