68 citations · 157 across the 8 of their papers we have counts for
9 papers
Oversampling techniques for predicting COVID-19 patient length of stay
Zachariah Farahany, Jiawei Wu, K M Sajjadul Islam +1
COVID-19 is a respiratory disease that caused a global pandemic in 2019. It is highly infectious and has the following symptoms: fever or chills, cough, shortness of breath, fatigu…
Deformed relativistic Hartree-Bogoliubov theory in continuum with a point-coupling functional. II. Examples of odd Nd isotopes
DRHBc Mass Table Collaboration, Cong Pan, Myung-Ki Cheoun +38
The aim of this work is to extend the deformed relativistic Hartree-Bogoliubov theory in continuum (DRHBc) based on the point-coupling density functionals to odd- and odd-odd nu…
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation
Jiawei Wu, Xin Wang, William Yang Wang
The overreliance on large parallel corpora significantly limits the applicability of machine translation systems to the majority of language pairs. Back-translation has been domina…
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
Xin Wang, Jiawei Wu, Junkun Chen +3
We present a new large-scale multilingual video description dataset, VATEX, which contains over 41,250 videos and 825,000 captions in both English and Chinese. Among the captions,…
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
Wenhan Xiong, Jiawei Wu, Deren Lei +4
Existing entity typing systems usually exploit the type hierarchy provided by knowledge base (KB) schema to model label correlations and thus improve the overall performance. Such…
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Xin Wang, Jiawei Wu, Da Zhang +2
Although promising results have been achieved in video captioning, existing models are limited to the fixed inventory of activities in the training corpus, and do not generalize to…
Reinforced Co-Training
Jiawei Wu, Lei Li, William Yang Wang
Co-training is a popular semi-supervised learning framework to utilize a large amount of unlabeled data in addition to a small labeled set. Co-training methods exploit predicted la…
Video Captioning via Hierarchical Reinforcement Learning
Xin Wang, Wenhu Chen, Jiawei Wu +2
Video captioning is the task of automatically generating a textual description of the actions in a video. Although previous work (e.g. sequence-to-sequence model) has shown promisi…
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs
Jiawei Wu, Ruobing Xie, Zhiyuan Liu +1
Textual information is considered as significant supplement to knowledge representation learning (KRL). There are two main challenges for constructing knowledge representations fro…