48 citations · 59 across the 5 of their papers we have counts for
7 papers
A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images
Moyun Liu, Jingming Xie, Jing Hao +3
X-ray images are commonly used to ensure the security of devices in quality inspection industry. The recognition of signs printed on X-ray weld images plays an essential role in di…
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation
Qiwei Zhong, Guanxiong Zeng, Danqing Zhu +4
An obstacle to scientific document understanding is the extensive use of acronyms which are shortened forms of long technical phrases. Acronym disambiguation aims to find the corre…
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21
Danqing Zhu, Wangli Lin, Yang Zhang +4
Acronym identification focuses on finding the acronyms and the phrases that have been abbreviated, which is crucial for scientific document understanding tasks. However, the limite…
Modality-Agnostic Attention Fusion for visual search with text feedback
Eric Dodds, Jack Culpepper, Simao Herdade +2
Image retrieval with natural language feedback offers the promise of catalog search based on fine-grained visual features that go beyond objects and binary attributes, facilitating…
Based on Graph-VAE Model to Predict Student's Score
Yang Zhang, Mingming Lu
The OECD pointed out that the best way to keep students up to school is to intervene as early as possible [1]. Using education big data and deep learning to predict student's score…
Point Cloud GAN
Chun-Liang Li, Manzil Zaheer, Yang Zhang +2
Generative Adversarial Networks (GAN) can achieve promising performance on learning complex data distributions on different types of data. In this paper, we first show a straightfo…