research
∙
08/02/2023
AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation
Advertising posters, a form of information presentation, combine visual ...
share
research
∙
06/21/2023
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing
Recent years have witnessed the impressive progress in Neural Dependency...
research
∙
11/08/2022
AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching
Subgraph matching is to find all subgraphs in a data graph that are isom...
research
∙
09/02/2022
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation
Layout generation is a novel task in computer vision, which combines the...
research
∙
08/16/2022
Parallel Hierarchical Transformer with Attention Alignment for Abstractive Multi-Document Summarization
In comparison to single-document summarization, abstractive Multi-Docume...
research
∙
08/09/2022
More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference
Graph similarity measurement, which computes the distance/similarity bet...
research
∙
10/18/2021
Boosting Image Outpainting with Semantic Layout Prediction
The objective of image outpainting is to extend image current border and...
research
∙
09/15/2020
Attention-Aware Inference for Neural Abstractive Summarization
Inspired by Google's Neural Machine Translation (NMT) <cit.> that models...
research
∙
05/24/2020
A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
In this study, a novel Distributed Representation of News (DRNews) model...
research
∙
05/24/2020
Integrated Node Encoder for Labelled Textual Networks
Voluminous works have been implemented to exploit content-enhanced netwo...
research
∙
11/14/2016