Shuang Zhou

Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning

2022 · Society for Industrial and Applied Mathematics eBooks

Network anomaly detection is a crucial task since a few anomalies can cause huge losses. Semi-supervised anomaly detection methods can effectively leverage a small number of labels as prior knowledge to enhance detection accuracy. But …

Enhancing Explainable Rating Prediction through Annotated Macro Concepts

2024

Generating recommendation reasons for recommendation results is a long-standing problem because it is challenging to explain the underlying reasons for recommending an item based on user and item IDs.Existing models usually learn semantic embeddings for …

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements

2024 · arXiv (Cornell University)

\textbf{Objective:} We aimed to develop an advanced multi-task large language model (LLM) framework to extract multiple types of information about dietary supplements (DS) from clinical records. \textbf{Methods:} We used four core DS information extraction tasks …

Km-scale solar irradiance ensemble forecasting with generative deep learning

2026 · npj Artificial Intelligence

Rapid variability and intermittency in surface shortwave downward irradiance (SWDR) impact photovoltaic (PV) generation, challenging power system stability. Yet, existing SWDR prediction methods often cannot simultaneously deliver high-resolution, wide-area, and well-calibrated probabilistic prediction, limiting their …