3 papers
cs.IR2025
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
Zihao Li, Chao Yang, Yakun Chen +5
Recent years have witnessed the remarkable success of recommendation systems (RSs) in alleviating the information overload problem. As a new paradigm of RSs, session-based recommen…
cs.IR2025
Listwise Preference Alignment Optimization for Tail Item Recommendation
Zihao Li, Chao Yang, Tong Zhang +4
Preference alignment has achieved greater success on Large Language Models (LLMs) and drawn broad interest in recommendation research. Existing preference alignment methods for rec…
cs.LG2025
Large Language Models are Few-shot Multivariate Time Series Classifiers
Yakun Chen, Zihao Li, Chao Yang +2
Large Language Models (LLMs) have been extensively applied in time series analysis. Yet, their utility in the few-shot classification (i.e., a crucial training scenario due to the…