6 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
Yakun Chen, Kaize Shi, Zhangkai Wu +5
Spatiotemporal data analysis is pivotal across various domains, such as transportation, meteorology, and healthcare. The data collected in real-world scenarios are often incomplete…
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation
Yakun Chen, Xianzhi Wang, Guandong Xu
The analysis of spatiotemporal data is increasingly utilized across diverse domains, including transportation, healthcare, and meteorology. In real-world settings, such data often…