6 citations · 15 across the 5 of their papers we have counts for
5 papers
Contrastive Learning for Local and Global Learning MRI Reconstruction
Qiaosi Yi, Jinhao Liu, Le Hu +2
Magnetic Resonance Imaging (MRI) is an important medical imaging modality, while it requires a long acquisition time. To reduce the acquisition time, various methods have been prop…
ListReader: Extracting List-form Answers for Opinion Questions
Peng Cui, Dongyao Hu, Le Hu
Question answering (QA) is a high-level ability of natural language processing. Most extractive ma-chine reading comprehension models focus on factoid questions (e.g., who, when, w…
Topic-Guided Abstractive Multi-Document Summarization
Peng Cui, Le Hu
A critical point of multi-document summarization (MDS) is to learn the relations among various documents. In this paper, we propose a novel abstractive MDS model, in which we repre…
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
Peng Cui, Le Hu, Yuanchao Liu
Text summarization aims to compress a textual document to a short summary while keeping salient information. Extractive approaches are widely used in text summarization because of…
Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching
Peng Cui, Le Hu, Yuanchao Liu
Sentence matching is a fundamental task of natural language processing with various applications. Most recent approaches adopt attention-based neural models to build word- or phras…