research
∙
09/18/2023
Unified Coarse-to-Fine Alignment for Video-Text Retrieval
The canonical approach to video-text retrieval leverages a coarse-graine...
share
research
∙
10/19/2022
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss
For readability assessment, traditional methods mainly employ machine le...
research
∙
10/11/2022
EllipsoNet: Deep-learning-enabled optical ellipsometry for complex thin films
Optical spectroscopy is indispensable for research and development in na...
research
∙
09/01/2022
Focus-Driven Contrastive Learniang for Medical Question Summarization
Automatic medical question summarization can significantly help the syst...
research
∙
08/27/2022
Multi-level Contrastive Learning Framework for Sequential Recommendation
Sequential recommendation (SR) aims to predict the subsequent behaviors ...
research
∙
08/22/2022
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning
Incorporating Knowledge Graphs (KG) into recommeder system has attracted...
research
∙
08/12/2022
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
Due to the lack of quality annotation in medical imaging community, semi...
research
∙
08/12/2022
Triple-View Feature Learning for Medical Image Segmentation
Deep learning models, e.g. supervised Encoder-Decoder style networks, ex...
research
∙
06/18/2022
Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks
Existing online recruitment platforms depend on automatic ways of conduc...
research
∙
06/05/2022
Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning
Rapid identification of newly emerging or circulating viruses is an impo...
research
∙
06/04/2022
Recurrent Image Registration using Mutual Attention based Network
Image registration is an important task in medical imaging which estimat...
research
∙
04/19/2022
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Knowledge graph (KG) plays an increasingly important role in recommender...
research
∙
03/07/2022
Residual Aligner Network
Image registration is important for medical imaging, the estimation of t...
research
∙
10/14/2021
Region Semantically Aligned Network for Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize unseen classes based on the k...
research
∙
06/09/2021
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
research
∙
04/08/2021
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images
Automatic medical image segmentation based on Computed Tomography (CT) h...
research
∙
03/09/2021
Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT
COVID-19, a new strain of coronavirus disease, has been one of the most ...
research
∙
12/27/2020
Learning Light-Weight Translation Models from Deep Transformer
Recently, deep models have shown tremendous improvements in neural machi...
research
∙
12/10/2020
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims to ...
research
∙
11/20/2020
Exploring Global Information for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
research
∙
11/16/2020
User-based Network Embedding for Collective Opinion Spammer Detection
Due to the huge commercial interests behind online reviews, a tremendous...
research
∙
10/08/2020
Shallow-to-Deep Training for Neural Machine Translation
Deep encoders have been proven to be effective in improving neural machi...
research
∙
09/27/2020
RRA-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels
Segmentation algorithms of medical image volumes are widely studied for ...
research
∙
09/19/2020
Weight Distillation: Transferring the Knowledge in Neural Network Parameters
Knowledge distillation has been proven to be effective in model accelera...
research
∙
05/07/2020
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
In encoder-decoder neural models, multiple encoders are in general used ...
research
∙
02/18/2020
Deep Learning in Medical Ultrasound Image Segmentation: a Review
Applying machine learning technologies, especially deep learning, into m...
research
∙
02/11/2020
A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare
With the increasing awareness of high-quality life, there is a growing n...
research
∙
02/11/2020
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images
As Deep Convolutional Neural Networks (DCNNs) have shown robust performa...
research
∙
08/22/2019
