Xiaoyu Zhang

AUTOTRAINER: An Automatic DNN Training Problem Detection and Repair System

2021

With machine learning models especially Deep Neural Network (DNN) models becoming an integral part of the new intelligent software, new tools to support their engineering process are in high demand. Existing DNN debugging tools are …

A flow model with a more-added coupling function

2023

Unsupervised learning of probabilistic models is a core problem in machine learning. Under the foundation that the model of easy data modeling is good, the NICE model is proposed. A deep learning framework for complex …

Cognitive Biases in Large Language Models for News Recommendation

2024 · arXiv (Cornell University)

Despite large language models (LLMs) increasingly becoming important components of news recommender systems, employing LLMs in such systems introduces new risks, such as the influence of cognitive biases in LLMs. Cognitive biases refer to systematic …

Understanding Internal Representations of Recommendation Models with Sparse Autoencoders

2026 · ACM Transactions on Information Systems

Recommendation model interpretation aims to reveal the relationships between inputs, model internal representations, and outputs to enhance the transparency, interpretability, and trustworthiness of recommendation systems. However, the inherent complexity and opacity of deep learning models …