Jia Chen

Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis

2022

Diagnosis of tumors is an important direction of computer-aided diagnosis (CAD). The shape, size, and boundary of the tumor are widely-used diagnostic evidence, and the corresponding segmentation annotated by the radiologists is a vital expert …

GenBoost: Generative Modeling and Boosted Learning for Multi-hop Question Answering over Incomplete Knowledge Graphs

2023

Multi-hop question answering over incomplete knowledge graphs involves iteratively reasoning on the provided question and graph to find answers, while also tackling the inherent sparsity problem in the graph. Walk-based methods transform the reasoning process …

Tendencies and characteristics of public fitness behavior in the digital era: an Internet ethnography study based on the K Community in China

2024 · Frontiers in Public Health

Introduction: The deep integration of media technologies into fitness activities in the era of digital intelligence has created a new and evolving landscape for public fitness. This transformation significantly impacts the practices and experiences of …

Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation

2024 · arXiv (Cornell University)

Recent studies show that text-to-image (T2I) models are vulnerable to adversarial attacks, especially with noun perturbations in text prompts. In this study, we investigate the impact of adversarial attacks on different POS tags within text …

Cross-Domain NER using Cross-Domain Language Modeling

2019

Due to limitation of labeled resources, crossdomain named entity recognition (NER) has been a challenging task. Most existing work considers a supervised setting, making use of labeled data for both the source and target domains. …