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08/26/2023
Exploring Large Language Models for Knowledge Graph Completion
Knowledge graphs play a vital role in numerous artificial intelligence t...
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02/20/2023
Friend Recall in Online Games via Pre-training Edge Transformers
Friend recall is an important way to improve Daily Active Users (DAU) in...
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05/07/2022
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury
Acute kidney injury (AKI) is a common clinical syndrome characterized by...
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01/13/2022
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation
Recently, there is growing attention on one-stage panoptic segmentation ...
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06/11/2021
Towards User-Driven Neural Machine Translation
A good translation should not only translate the original content semant...
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10/26/2020
Exploiting Neural Query Translation into Cross Lingual Information Retrieval
As a crucial role in cross-language information retrieval (CLIR), query ...
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10/26/2020
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval
Query translation (QT) is a key component in cross-lingual information r...
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10/12/2020
Towards Expressive Graph Representation
Graph Neural Network (GNN) aggregates the neighborhood of each node into...
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09/07/2019
KG-BERT: BERT for Knowledge Graph Completion
Knowledge graphs are important resources for many artificial intelligenc...
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03/31/2019
MedGCN: Graph Convolutional Networks for Multiple Medical Tasks
Laboratory testing and medication prescription are two of the most impor...
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03/31/2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Image representation is a fundamental task in computer vision. However, ...
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11/07/2018
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes
Acute kidney injury (AKI) in critically ill patients is associated with ...
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09/20/2018
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
Thoracic diseases are very serious health problems that plague a large n...
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09/20/2018
Distribution Networks for Open Set Learning
In open set learning, a model must be able to generalize to novel classe...
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09/15/2018
Graph Convolutional Networks for Text Classification
Text Classification is an important and classical problem in natural lan...
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07/17/2018
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks
Clinical text classification is an important problem in medical natural ...
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07/17/2018