Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation (KDD'24)

Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)

Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)

Generative Recommendation: Towards Next-generation Recommender Paradigm

Mitigating Spurious Correlations for Self-supervised Recommendation

Implementation of paper: Equivariant Learning for Out-of-Distribution Cold-start Recommendation. (backbone model CLCRec) (MM'23)

Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023