Yan Yang

ISHNE: Influence Self-attention for Heterogeneous Network Embedding

2021 · arXiv (Cornell University)

In recent years, Graph Neural Networks has received enormous attention from academia for its huge potential of modeling the network traits such as macrostructure and single node attributes. However, prior mainstream works mainly focus on …

Session-Recommendation Based on Gated Neural Network to Extract Item Structure Feature Graph

2022

The issue of inaccurate user portrait recommendations for short-term conversations is solved. The classical recommendation is based on an assumption: the user's historical behavior can represent the user's stable long-term preferences, and the result is …

State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking

2024 · arXiv (Cornell University)

Recently, low-resource dialogue state tracking (DST) has received increasing attention. First obtaining state values then based on values to generate slot types has made great progress in this task. However, obtaining state values is still …