Yefeng Zheng

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

2022 · 2022 IEEE International Conference on Data Mining (ICDM)

Patient similarity measurement is an essential step in discovering clinically meaningful subgroups and building case retrieval systems. Most existing studies implement this procedure using similarity measurement algorithms on the multivariate clinical time-series (input space) or …

Distributionally Robust Sequential Recommnedation

2023

Modeling user sequential behaviors have been demonstrated to be effective in promoting the recommendation performance. While previous work has achieved remarkable successes, they mostly assume that the training and testing distributions are consistent, which may …

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection

2024 · arXiv (Cornell University)

Graph-based anomaly detection is currently an important research topic in the field of graph neural networks (GNNs). We find that in graph anomaly detection, the homophily distribution differences between different classes are significantly greater than …

Large language models for generative information extraction: a survey

2024 · Frontiers of Computer Science

Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural language texts. Recently, generative Large Language Models (LLMs) have demonstrated remarkable capabilities in text understanding and generation. As a result, numerous works have …