7 citations · 14 across the 4 of their papers we have counts for
4 papers
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
Peng Su, Yifan Peng, K. Vijay-Shanker
Contrastive learning has been used to learn a high-quality representation of the image in computer vision. However, contrastive learning is not widely utilized in natural language…
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism
Peng Su, K. Vijay-Shanker
With the explosive growth of biomedical literature, designing automatic tools to extract information from the literature has great significance in biomedical research. Recently, tr…
Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature
Peng Su, K. Vijay-Shanker
Adversarial training is a technique of improving model performance by involving adversarial examples in the training process. In this paper, we investigate adversarial training wit…
Feature Exploration for Knowledge-guided and Data-driven Approach Based Cuffless Blood Pressure Measurement
Xiaorong Ding, Bryan P Yan, Yuan-Ting Zhang +3
This study explores extended feature space that is indicative of blood pressure (BP) changes for better estimation of continuous BP in an unobtrusive way. A total of 222 features w…