4 citations · 7 across the 7 of their papers we have counts for
7 papers
Multi-label feature selection based on binary hashing learning and dynamic graph constraints
Cong Guo, Changqin Huang, Wenhua Zhou +1
Multi-label learning poses significant challenges in extracting reliable supervisory signals from the label space. Existing approaches often employ continuous pseudo-labels to repl…
VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition
Junyi Biana, Weiqi Zhai, Xiaodi Huang +2
Prevalent solution for BioNER involves using representation learning techniques coupled with sequence labeling. However, such methods are inherently task-specific, demonstrate poor…
ChatPRCS: A Personalized Support System for English Reading Comprehension based on ChatGPT
Xizhe Wang, Yihua Zhong, Changqin Huang +1
As a common approach to learning English, reading comprehension primarily entails reading articles and answering related questions. However, the complexity of designing effective e…
DMNER: Biomedical Entity Recognition by Detection and Matching
Junyi Bian, Rongze Jiang, Weiqi Zhai +3
Biomedical named entity recognition (BNER) serves as the foundation for numerous biomedical text mining tasks. Unlike general NER, BNER require a comprehensive grasp of the domain,…
GoSum: Extractive Summarization of Long Documents by Reinforcement Learning and Graph Organized discourse state
Junyi Bian, Xiaodi Huang, Hong Zhou +1
Extracting summaries from long documents can be regarded as sentence classification using the structural information of the documents. How to use such structural information to sum…
Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network
Hong Yu, Xiaofan Zhang, Lingjun Song +20
Gastric cancer is one of the most common cancers, which ranks third among the leading causes of cancer death. Biopsy of gastric mucosa is a standard procedure in gastric cancer scr…