Parameter-free Dynamic Graph Embedding for Link Prediction. - Jiahao Liu 009; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Ning Gu 001 (NeurIPS, 2022)

FIRE: Fast Incremental Recommendation with Graph Signal Processing. - Jiafeng Xia; Dongsheng Li 002; Hansu Gu; Jiahao Liu 009; Tun Lu; Ning Gu 001 (WWW, 2022)

AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. - Sijia Liu 001; Jiahao Liu 009; Hansu Gu; Dongsheng Li 002; Tun Lu; Peng Zhang 060; Ning Gu 001 (CIKM, 2023)

Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. - Jiahao Liu 009; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu 001 (SIGIR, 2023)

Personalized Graph Signal Processing for Collaborative Filtering. - Jiahao Liu 009; Dongsheng Li 002; Hansu Gu; Tun Lu; Peng Zhang 060; Li Shang; Ning Gu 001 (WWW, 2023)

Recommendation Unlearning via Matrix Correction. - Jiahao Liu 009; Dongsheng Li 002; Hansu Gu; Tun Lu; Jiongran Wu; Peng Zhang 060; Li Shang; Ning Gu 001 (CoRR, 2023)

Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation. - Jiahao Liu 009; Yiyang Shao; Peng Zhang 060; Dongsheng Li 002; Hansu Gu; Chao Chen 016; Longzhi Du; Tun Lu; Ning Gu 001 (CoRR, 2024)

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation. - Mingzhe Han; Dongsheng Li 002; Jiafeng Xia; Jiahao Liu 009; Hansu Gu; Peng Zhang 060; Ning Gu 001; Tun Lu (SIGIR, 2025)

Unbiased Collaborative Filtering with Fair Sampling. - Jiahao Liu 009; Dongsheng Li 002; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu 001 (SIGIR, 2025)

AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations. - Jiahao Liu 009; Shengkang Gu; Dongsheng Li 002; Guangping Zhang; Mingzhe Han; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu 001 (SIGIR, 2025)

Improving LLM-powered Recommendations with Personalized Information. - Jiahao Liu 009; Xueshuo Yan; Dongsheng Li 002; Guangping Zhang; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu 001 (SIGIR, 2025)

Filtering Discomforting Recommendations with Large Language Models. - Jiahao Liu 009; Yiyang Shao; Peng Zhang 060; Dongsheng Li 002; Hansu Gu; Chao Chen 016; Longzhi Du; Tun Lu; Ning Gu 001 (WWW, 2025)

Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling. - Jiahao Liu 009; Dongsheng Li 002; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu 001 (CoRR, 2025)

Enhancing Cross-Domain Recommendations with Memory-Optimized LLM-Based User Agents. - Jiahao Liu 009; Shengkang Gu; Dongsheng Li 002; Guangping Zhang; Mingzhe Han; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu 001 (CoRR, 2025)

Enhancing LLM-Based Recommendations Through Personalized Reasoning. - Jiahao Liu 009; Xueshuo Yan; Dongsheng Li 002; Guangping Zhang; Hansu Gu; Peng Zhang 060; Tun Lu; Li Shang; Ning Gu 001 (CoRR, 2025)

LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems. - Shengkang Gu; Jiahao Liu 009; Dongsheng Li 002; Guangping Zhang; Mingzhe Han; Hansu Gu; Peng Zhang 060; Ning Gu 001; Li Shang; Tun Lu (CoRR, 2025)

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models. - Jiongran Wu; Jiahao Liu 009; Dongsheng Li 002; Guangping Zhang; Mingzhe Han; Hansu Gu; Peng Zhang 060; Li Shang; Tun Lu; Ning Gu 001 (CoRR, 2025)