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CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer

Published in 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024

CheX-DS combines DenseNet and Swin Transformer with ensemble learning to improve chest X-ray image classification, addressing data imbalance with a combined loss function.

Recommended citation: Xinran Li, Xiujuan Xu, Yu Liu, Xiaowei Zhao. (2024). "CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer." IEEE BIBM 2024, Lisbon, Portugal.

Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation

Published in 28th European Conference on Artificial Intelligence (ECAI-2025), 2025

This paper proposes Long-Short Distance Graph Neural Networks combined with improved curriculum learning for emotion recognition in conversations.

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.